Opendoor

<h2><strong>About the Team</strong></h2>
<p>As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.</p>
<p>Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.</p>
<h2><strong>Why This Role</strong></h2>
<p>Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.</p>
<p>If you want to define what analytics looks like in an AI-first company, this is it.</p>
<h2><strong>What You'll Do</strong></h2>
<p><strong>Build Proactive Intelligence Systems</strong></p>
<ul>
<li>Design and deploy AI agents that monitor business performance and surface actionable insights without being asked</li>
<li>Architect systems that shift analytics from "answering questions" to "anticipating needs"</li>
<li>Create intelligent alerting that distinguishes signal from noise and recommends specific actions</li>
</ul>
<p><strong>Create AI-Powered Analytics Tools</strong></p>
<ul>
<li>Develop natural language interfaces that let business leaders query data conversationally</li>
<li>Build semantic layers that translate business concepts into data structures optimized for LLM reasoning</li>
<li>Ship internal tools that transform how Opendoor makes decisions at every level</li>
</ul>
<p><strong>Own the Analytics-to-Action Pipeline</strong></p>
<ul>
<li>Design data models that support automated analysis, pattern detection, and AI agent interactions</li>
<li>Build workflows that connect insight generation to recommended actions</li>
<li>Establish feedback loops that make our AI systems smarter over time</li>
</ul>
<p><strong>Drive Leverage Across the Business</strong></p>
<ul>
<li>Identify high-value opportunities where AI can augment human decision-making</li>
<li>Implement end-to-end solutions using Claude, custom agents, and modern AI tooling</li>
<li>Measure impact rigorously—we care about decisions influenced, not dashboards built</li>
</ul>
<h2><strong>We're Looking for Teammates Who Have</strong></h2>
<p><strong>Technical Foundation</strong></p>
<ul>
<li>5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership</li>
<li>Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption</li>
<li>Strong Python proficiency for data engineering, automation, and AI agent development</li>
<li>Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)</li>
</ul>
<p><strong>AI &amp; Automation Expertise</strong></p>
<ul>
<li>Hands-on experience building and deploying AI agents or LLM-powered applications in production</li>
<li>Deep understanding of LLM capabilities, limitations, and prompt engineering best practices</li>
<li>Experience architecting semantic layers or natural language interfaces for data access</li>
<li>Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions</li>
</ul>
<p><strong>Analytics &amp; Business Acumen</strong></p>
<ul>
<li>Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions</li>
<li>Strong analytical intuition—you know what questions matter before they're asked</li>
<li>Experience translating ambiguous, cross-functional business problems into technical solutions</li>
<li>History of operating autonomously and setting direction, not just executing on defined projects</li>
</ul>
<p><strong>Leadership &amp; Influence</strong></p>
<ul>
<li>Experience mentoring other analysts or engineers, formally or informally</li>
<li>Demonstrated ability to influence senior stakeholders and drive alignment across teams</li>
<li>Comfort operating in ambiguity and shaping strategy, not just responding to it</li>
<li>Track record of building systems and processes that scale beyond yourself</li>
</ul>
<p><strong>Builder Mindset</strong></p>
<ul>
<li>You ship products, not just dashboards&nbsp;</li>
<li>You'd rather build something useful in a week than something perfect in a quarter</li>
<li>You measure success by business impact, not technical complexity</li>
<li>You're energized by creating leverage—building once so others benefit forever</li>
</ul>
<h2><strong>Bonus Points If You Have</strong></h2>
<ul>
<li>Experience in real estate, fintech, or marketplace businesses</li>
<li>Background in marketing analytics, sales operations, product analytics, or pricing/economics</li>
<li>History of building tools or platforms that replaced recurring analyst work</li>
<li>Experience leading technical projects or small teams
<p>&nbsp;</p>
<p><em>The base pay range for this position based on level is $186,000 - $256,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience.&nbsp; We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.</em></p>
<p>#LI-DM</p>
</li>
</ul>
<p>&nbsp;</p>
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<h3>About the Role</h3>
<p>We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.</p>
<p>You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.</p>
<h3>What You'll Do</h3>
<ul>
<li>
<p>Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.</p>
</li>
<li>
<p>Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.</p>
</li>
<li>
<p>Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.</p>
</li>
<li>
<p>Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.</p>
</li>
<li>
<p>Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.</p>
</li>
<li>
<p>Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices.&nbsp;</p>
</li>
<li>
<p>Develop and maintain disaster recovery and business continuity strategies.&nbsp;</p>
</li>
<li>
<p>Conduct architecture reviews, performance tuning, and capacity planning.</p>
</li>
<li>
<p>Stay up to date with industry trends and emerging technologies, proactively recommending improvements.<br>&nbsp;</p>
</li>
</ul>
<h3>What You'll Need</h3>
<ul>
<li>
<p>8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.</p>
</li>
<li>
<p>Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).</p>
</li>
<li>
<p>Deep hands-on experience with Kubernetes (EKS) in production environments.</p>
</li>
<li>
<p>Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.</p>
</li>
<li>
<p>Experience with microservices and distributed systems architectures.</p>
</li>
<li>
<p>Strong scripting and automation skills (e.g., Python, Bash, Go).&nbsp;</p>
</li>
<li>
<p>Proven experience with monitoring, logging, and observability systems.</p>
</li>
<li>
<p>Solid understanding of networking, security, and cloud infrastructure best practices.</p>
</li>
<li>
<p>Experience in a high-scale, SaaS or cloud-native environment.</p>
</li>
<li>
<p>Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.</p>
</li>
<li>
<p>Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.</p>
</li>
<li>
<p>AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.<br>&nbsp;</p>
</li>
</ul>
<h3>Why Join Us</h3>
<ul>
<li>
<p>Work on cutting-edge cloud infrastructure and architecture.</p>
</li>
<li>
<p>Make a real impact on how we scale and ship reliable services.</p>
</li>
<li>
<p>Collaborate with a team of passionate engineers in a culture of learning and growth.</p>
</li>
<li>
<p>Competitive compensation, equity, and benefits package.<br>&nbsp;</p>
</li>
</ul>
<h3>Compensation</h3>
<p>Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.&nbsp; All compensation parameters are based on experience.</p><div class="content-conclusion"><div id="message-list_1766449127.423929" class="c-virtual_list__item" data-qa="virtual-list-item" data-item-key="1766449127.423929">
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<h2>About the Team</h2>
<p>As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.</p>
<p>Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<h2>Why This Role</h2>
<p>Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.</p>
<p>If you want to define what analytics looks like in an AI-first company, this is it.</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<h2>What You'll Do</h2>
<p>Build Proactive Intelligence Systems</p>
<ul>
<li>
<p>Design and deploy AI agents that monitor business performance and surface actionable insights without being asked</p>
</li>
<li>
<p>Architect systems that shift analytics from "answering questions" to "anticipating needs"</p>
</li>
<li>
<p>Create intelligent alerting that distinguishes signal from noise and recommends specific actions</p>
</li>
</ul>
<p>Create AI-Powered Analytics Tools</p>
<ul>
<li>
<p>Develop natural language interfaces that let business leaders query data conversationally</p>
</li>
<li>
<p>Build semantic layers that translate business concepts into data structures optimized for LLM reasoning</p>
</li>
<li>
<p>Ship internal tools that transform how Opendoor makes decisions at every level</p>
</li>
</ul>
<p>Own the Analytics-to-Action Pipeline</p>
<ul>
<li>
<p>Design data models that support automated analysis, pattern detection, and AI agent interactions</p>
</li>
<li>
<p>Build workflows that connect insight generation to recommended actions</p>
</li>
<li>
<p>Establish feedback loops that make our AI systems smarter over time</p>
</li>
</ul>
<p>Drive Leverage Across the Business</p>
<ul>
<li>
<p>Identify high-value opportunities where AI can augment human decision-making</p>
</li>
<li>
<p>Implement end-to-end solutions using Claude, custom agents, and modern AI tooling</p>
</li>
<li>
<p>Measure impact rigorously—we care about decisions influenced, not dashboards built</p>
</li>
</ul>
<p>&nbsp;</p>
<p>&nbsp;</p>
<h2>We're Looking for Teammates Who Have</h2>
<p>Technical Foundation</p>
<ul>
<li>
<p>5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership</p>
</li>
<li>
<p>Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption</p>
</li>
<li>
<p>Strong Python proficiency for data engineering, automation, and AI agent development</p>
</li>
<li>
<p>Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)</p>
</li>
</ul>
<p>AI &amp; Automation Expertise</p>
<ul>
<li>
<p>Hands-on experience building and deploying AI agents or LLM-powered applications in production</p>
</li>
<li>
<p>Deep understanding of LLM capabilities, limitations, and prompt engineering best practices</p>
</li>
<li>
<p>Experience architecting semantic layers or natural language interfaces for data access</p>
</li>
<li>
<p>Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions</p>
</li>
</ul>
<p>Analytics &amp; Business Acumen</p>
<ul>
<li>
<p>Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions</p>
</li>
<li>
<p>Strong analytical intuition—you know what questions matter before they're asked</p>
</li>
<li>
<p>Experience translating ambiguous, cross-functional business problems into technical solutions</p>
</li>
<li>
<p>History of operating autonomously and setting direction, not just executing on defined projects</p>
</li>
</ul>
<p>Leadership &amp; Influence</p>
<ul>
<li>
<p>Experience mentoring other analysts or engineers, formally or informally</p>
</li>
<li>
<p>Demonstrated ability to influence senior stakeholders and drive alignment across teams</p>
</li>
<li>
<p>Comfort operating in ambiguity and shaping strategy, not just responding to it</p>
</li>
<li>
<p>Track record of building systems and processes that scale beyond yourself</p>
</li>
</ul>
<p>Builder Mindset</p>
<ul>
<li>
<p>You ship products, not just dashboards&nbsp;</p>
</li>
<li>
<p>You'd rather build something useful in a week than something perfect in a quarter</p>
</li>
<li>
<p>You measure success by business impact, not technical complexity</p>
</li>
<li>
<p>You're energized by creating leverage—building once so others benefit forever</p>
</li>
</ul>
<p>&nbsp;</p>
<p>&nbsp;</p>
<h2>Bonus Points If You Have</h2>
<ul>
<li>
<p>Experience in real estate, fintech, or marketplace businesses</p>
</li>
<li>
<p>Background in marketing analytics, sales operations, product analytics, or pricing/economics</p>
</li>
<li>
<p>History of building tools or platforms that replaced recurring analyst work</p>
</li>
<li>
<p>Experience leading technical projects or small teams</p>
</li>
</ul>
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<p><strong>About the Role</strong></p>
<p>The Listing Partner Manager leads a team of licensed Listing Partners (LPs) who serve as the single point of contact for buyers' agents from offer through close on Opendoor-owned resale homes.</p>
<p>&nbsp;</p>
<p>You'll be responsible for hitting market-level sales and experience targets by coaching LPs on negotiation, pipeline management, and escalation discipline, while partnering cross-functionally with Pricing, Homes, Title &amp; Escrow, Brokerage, and Product/Tooling to remove friction from the resale process.<br><br></p>
<ul>
<li>You will build the Miami LP team, its culture, and its operating systems from the ground up — there is no existing playbook to inherit, only one to create.</li>
<li>This role operates in a fast-moving environment where product, tooling, and policy regularly evolve. The LPM is expected to be a stabilizing force for their team, not a passive recipient of change.</li>
</ul>
<p>&nbsp;</p>
<p>If you thrive in a metrics-driven, high-volume environment, love coaching sales talent, are energized by building from scratch, and are excited to shape the future of Opendoor's resale business — this role is for you.</p>
<p><strong>What You'll Do</strong></p>
<p><strong>Team Leadership &amp; Performance</strong></p>
<ul>
<li>Lead, coach, and develop a team of Listing Partners to deliver against a balanced scorecard with defined targets: Conversion ≥70%, Fallthrough ≤18%, Pend-to-Close ≤30 days, Title Attach ≥93%, Armadillo Paid ≥20%, SLA Adherence ≥95%, Net Proceeds vs RTP, and CSAT.</li>
<li>Run regular 1:1s, call reviews, and file audits to provide clear, actionable feedback and document strengths and development areas.</li>
<li>Own performance management for your team (goal setting, calibration inputs, performance reviews, and, when necessary, formal performance plans).</li>
</ul>
<ul>
<li>Use AI-generated call scores and conversation analytics (Gumloop Call Scoring) as structured inputs to coaching — moving from reactive file review to proactive, data-driven development conversations.</li>
</ul>
<p><strong>Operational Excellence</strong></p>
<ul>
<li>Ensure LPs consistently follow the Resale playbook, including accurate CITY/CRM hygiene, use of TC workflows, escalation pathways, and coverage processes.</li>
<li>Monitor dashboards and scorecards to proactively identify risk (aging pendings, high BRN spend, SLA misses, fallthrough risk) and drive corrective action.</li>
<li>Create and maintain lightweight operating rhythms (team meetings, WBRs/MBRs, leaderboards, audits) that keep the team focused on the right priorities.</li>
<li>Drive adoption of Opendoor's attach programs — Title, Armadillo, and Lower Mortgage — coaching LPs on offer-entry procedures and buyer activation messaging to hit target attach rates.</li>
</ul>
<ul>
<li>Serve as the LP team's voice in the CRM migration (Zendesk is sunsetting): evaluate the replacement against LP workflow needs, communicate the transition clearly, and drive adoption without performance disruption.</li>
<li>Proactively identify workflows where AI or automation can reduce LP handle time, improve consistency, or surface risk earlier — partnering with Tooling/Product to pilot and scale them.</li>
<li>Lead your team through change without losing performance cadence<strong> </strong>— whether that's a CRM migration, a new AI workflow rollout, a Pricing policy shift, or a product change mid-quarter. Translate ambiguity into clear next actions before your team has to ask.</li>
</ul>
<p><strong>Coaching on Negotiation &amp; Escalations</strong></p>
<ul>
<li>Act as a go-to escalation point for complex negotiations (multi-offer scenarios, low appraisals, LRRs, BRN edge cases, legal/reputation-sensitive issues).</li>
<li>Coach LPs on framing offers and counters to balance conversion, margin, and agent experience; setting clear expectations with buyers' agents on timelines, repairs, and constraints; and when/how to escalate to Pricing, Homes, Title, or leadership with a clear recommendation.</li>
</ul>
<p><strong>Cross-Functional Partnership</strong></p>
<ul>
<li>Partner closely with Pricing, Homes, T&amp;E, Brokerage, CX, and Tooling/Product to surface recurring issues and data-backed opportunities to improve workflows and policies.</li>
<li>Pilot new processes (e.g., TC model, countering tools, attach programs) and drive adoption across your team.</li>
<li>Represent the LP perspective in cross-functional forums, bringing crisp examples and data from your team.</li>
</ul>
<p><strong>People, Culture &amp; Licensing</strong></p>
<ul>
<li>Hire, onboard, and ramp new LPs, including 30/60/90 plans, shadowing, and certification on key workflows — including two consecutive LP classes (April + May) requiring you to run structured training programs while maintaining pipeline oversight.</li>
<li>Foster a high-accountability, high-support culture that celebrates wins, learns quickly from misses, and embraces change.</li>
<li>Partner with Brokerage/licensing teams to ensure your direct reports remain in good standing and compliant with licensing, MLS participation, and brokerage policy.</li>
</ul>
<ul>
<li>Build the Miami LP office culture from scratch: establish team norms, escalation rhythms, call standards, and in-office identity — then bridge those consistently to the existing Phoenix in-office team.</li>
</ul>
<p><strong>Who You Are</strong></p>
<ul>
<li><strong>Sales-driven and results-oriented.</strong> Energized by hitting and exceeding targets; able to translate portfolio-level goals into daily actions for your team.</li>
<li><strong>Coaching-focused leader.</strong> You enjoy being on the floor with your team — listening to calls, reviewing files, and giving specific, timely feedback.</li>
<li><strong>Operationally disciplined.</strong> You use data and operating rhythms to keep a complex book of work under control.</li>
<li><strong>Calm in complexity.</strong> You handle escalations and change with composure, bringing structure, judgment, and clear communication to ambiguous situations.</li>
<li><strong>Collaborative and low-ego.</strong> You work well with peers and cross-functional partners, comfortable both advocating for your team and holding them to a high bar.</li>
</ul>
<ul>
<li><strong>Comfortable operating in ambiguity</strong><strong>.</strong> You set direction and hold your team accountable even when policies, tools, or priorities are actively shifting. You don't wait for perfect information to make a call.</li>
<li><strong>Builder mentality</strong><strong>.</strong> You are energized by creating something from nothing — whether that's a team culture, an operating rhythm, or an AI-powered workflow. You don't need an existing playbook to get started.</li>
</ul>
<p><strong>What You'll Bring</strong></p>
<p><strong>Experience</strong></p>
<ul>
<li>3–5+ years in residential real estate, sales, or transaction management, with meaningful time in a high-volume, metrics-driven environment.</li>
<li>1–3+ years of people management experience leading sales or account-management teams.</li>
<li>Demonstrated experience managing teams through organizational or systems change — including communicating the 'why,' addressing resistance, and maintaining accountability during transitions.</li>
</ul>
<p><strong>Licensing</strong></p>
<ul>
<li>Active, unrestricted real estate salesperson or broker license in at least one U.S. state (or ability to obtain within a defined timeline).</li>
<li>Comfort operating within brokerage, MLS, and state regulatory requirements.</li>
</ul>
<p><strong>Skills</strong></p>
<ul>
<li>Proven ability to coach on negotiation, pipeline discipline, and customer/agent communication.</li>
<li>Excellent written and verbal communication.</li>
</ul>
<ul>
<li>Strong analytical

skills

ability to diagnose performance root causes across a multi-metric scorecard; comfortable building and reading dashboards in tools like QuickSight or equivalent BI platforms.</li>
<li>AI fluency: demonstrated comfort using AI-powered sales tools — call scoring, workflow automation, offer-entry bots. Experience building or refining AI workflows for a sales team is a plus.</li>
</ul>
<p><strong>Work Style</strong></p>
<ul>
<li>Comfortable working in-office where required and flexing to support peak periods, including occasional evenings/weekends.</li>
<li>Bias toward action, ownership, and continuous improvement.</li>
</ul>
<ul>
<li>Skilled at building consistency across in-office and distributed sub-teams; comfortable holding a high bar for both groups without creating a two-tier culture.</li>
</ul>
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
</div>
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<p>At Opendoor, we’re rebuilding how people buy and sell homes, with more certainty, more choice, and less friction in the most important financial decision of their lives. Opendoor 2.0 is about focus, execution, and delivering real value for homeowners and those striving to become homeowners. Sales is central to that mission.</p>
<h1 class="text-text-100 mt-3 -mb-1 text-[1.375rem] font-bold">About the Role</h1>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">We’re looking for a Sales Director to lead the next chapter of our go-to-market evolution.&nbsp; Lead and transform a high-performance acquisition team by blending sales expertise with AI-powered operations. You'll drive pipeline growth, conversion improvement, and exceptional customer experience through data-driven strategy, intelligent automation, and hands-on coaching.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">This role requires a unique combination: the analytical rigor to diagnose complex performance problems to drive business outcomes, the technical fluency to build AI-powered solutions for you and your sales team, and the coaching acumen to develop your team into world class sales reps. You'll lead a team of Home Sales Advisors while simultaneously redesigning how we route leads, analyze performance, and scale winning behaviors - leveraging AI tools to accelerate execution and unlock insights impossible to surface manually.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">We're looking for someone who can toggle seamlessly between strategic thinking and tactical execution: diagnosing conversion funnel issues in the morning, prototyping an AI-powered lead router by afternoon, and delivering coaching feedback that evening.</p>
<h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">What You'll Need</h2>
<h3 class="text-text-100 mt-2 -mb-1 text-base font-bold">Core Leadership &amp; Sales Experience</h3>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">8–10+ years in sales or revenue operations, including 3–5+ years leading managers and/or larger IC teams; proven track record of meeting and exceeding targets in high-velocity inbound/outbound environments. Deep expertise in conversion optimization: demonstrated ability to diagnose funnel leakage, identify systemic vs. individual performance issues, and implement changes that materially improve lead-to-close rates. Mastery of sales KPIs and analytics: comfortable running business reviews, building dashboards, interpreting propensity models, and coaching from the numbers.</p>
<h3 class="text-text-100 mt-2 -mb-1 text-base font-bold">AI &amp; Technical Capabilities</h3>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Hands-on experience with AI tools (e.g., Claude, ChatGPT, Cursor, or similar) to accelerate analysis, build prototypes, and automate workflows - not just familiarity, but actual implementation. Ability to build functional prototypes: you can go from concept to working demo (lead routing logic, call analysis tools, coaching feedback generators) without waiting for engineering resources. Comfort with data manipulation and basic scripting: experience with Excel/Google Sheets advanced formulas, SQL basics, or similar analytical tools to extract insights from messy data. Track record of leveraging AI for operational improvement: examples might include automated transcript analysis, intelligent lead routing, personalized coaching feedback, or similar applications.</p>
<h3 class="text-text-100 mt-2 -mb-1 text-base font-bold">Diagnostic &amp; Problem-Solving Mindset</h3>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Pattern recognition in qualitative data: ability to analyze call transcripts, customer feedback, and rep performance to identify coaching opportunities and systemic process gaps. Ruthless prioritization: can distinguish high-leverage changes from noise and articulate clear trade-offs when resources are constrained. Systems thinking: understands how lead routing, rep development, compensation design, and technology stack work together as an interconnected system.</p>
<h3 class="text-text-100 mt-2 -mb-1 text-base font-bold">Communication &amp; Coaching</h3>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Exceptional coaching and feedback delivery: can identify specific behavioral patterns, deliver direct but supportive feedback, and tailor development approaches to individual learning styles. Executive communication: able to distill complex analyses into clear, actionable recommendations for senior leadership. Cross-functional influence: proven ability to partner with Marketing, Product, Ops, and Data Science to drive change without direct authority.</p>
<h3 class="text-text-100 mt-2 -mb-1 text-base font-bold">Operational Excellence</h3>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Builder mentality: thrives in ambiguity, willing to roll up sleeves and build solutions rather than just describing what should be built. Program/project management

skills

can sequence initiatives, manage dependencies, and drive adoption across resistant or change-fatigued teams. Speed and adaptability: comfortable in fast-paced, evolving environments with shifting priorities.</p>
<h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">What You'll Do</h2>
<h3 class="text-text-100 mt-2 -mb-1 text-base font-bold">Team Leadership &amp; Development</h3>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Inspire and develop your team to act with urgency, hold themselves accountable, and execute with excellence in service of customers. Build and implement AI-assisted coaching programs: use transcript analysis, performance pattern detection, and personalized feedback generation to accelerate rep development. Design and deliver targeted coaching: identify specific skill gaps (objection handling, urgency creation, empathy) and create tailored development plans for each rep. Hire and performance-manage: build a multi-layer team, develop future leaders, and make difficult personnel decisions when needed.</p>
<h3 class="text-text-100 mt-2 -mb-1 text-base font-bold">Performance &amp; Analytics</h3>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Own team KPIs (contacts, conversion rate, speed-to-lead, withdrawal rate, CSAT/NPS) and establish daily/weekly/monthly inspection mechanisms. Diagnose conversion funnel issues with precision: move beyond surface-level metrics to identify exactly where and why deals are lost, using both quantitative data and qualitative analysis. Build predictive models and decision tools: leverage AI to create intelligent lead routing logic, identify at-risk deals, and surface coaching priorities automatically. Monitor leading indicators: implement early-warning systems for performance degradation (e.g., first-contact speed slippage, objection handling quality decline).</p>
<h3 class="text-text-100 mt-2 -mb-1 text-base font-bold">AI-Powered Operations</h3>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Build and deploy AI tools to improve team effectiveness: lead routing algorithms, call analysis systems, automated feedback generators, or other high-leverage applications. Automate insight generation: create systems that surface patterns in call transcripts, customer feedback, and performance data without manual review. Continuously iterate: treat AI tools as products—gather user feedback from reps, measure impact, and improve over time. Scale winning behaviors: use AI to codify and distribute best practices from top performers across the entire team.</p>
<h3 class="text-text-100 mt-2 -mb-1 text-base font-bold">Cross-Functional Partnership</h3>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Partner with Marketing, Product, Ops, and Pricing/Finance to refine playbooks, launch pilots, and scale proven motions. Serve as voice of the sales team: translate frontline insights into product requirements, marketing message improvements, and pricing strategy refinements. Drive process improvement: identify operational seams that negatively impact customer experience and mobilize cross-functional resources to solve them. Manage escalations: serve as first point of contact for customer issues, diving into the weeds to remove blockers and communicate appropriately.</p>
<h3 class="text-text-100 mt-2 -mb-1 text-base font-bold">Strategic Execution</h3>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Design and implement high-leverage changes: intelligent lead routing, rep specialization models, compensation redesigns, or tech stack improvements—with clear rationale for prioritization. Sequence initiatives thoughtfully: understand dependencies, manage change fatigue, and drive adoption through the organization. Balance customer experience and profitability: make decisions that optimize for both long-term relationship value and near-term conversion efficiency. Document and share learnings: create playbooks, case studies, and best practices that enable other teams to replicate success.</p>
<h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">Compensation</h2>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. Pay varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. We also offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.</p>
<h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold">Why This Role Matters</h2>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Every percentage point improvement in conversion represents hundreds of families who get to move forward with their lives - whether that's escaping a difficult financial situation, relocating for a dream job, or simply getting the fresh start they need.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">This role sits at the intersection of human expertise and AI capability. The best candidate will understand that AI doesn't replace coaching - it makes great coaching scalable. That intelligent routing doesn't eliminate the need for skilled reps - it ensures the right customer reaches the right rep at the right time. That automation doesn't reduce the importance of empathy - it creates space for reps to be more human by handling the mechanical work.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">If you're energized by the challenge of building systems that work, developing people who grow, and using AI to unlock performance improvements that seemed impossible six months ago - we want to talk to you.<br><br>#LI-RM<br>#LI-Onsite</p><div class="content-conclusion"><div id="message-list_1766449127.423929" class="c-virtual_list__item" data-qa="virtual-list-item" data-item-key="1766449127.423929">
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<h3>About the Role</h3>
<p>We’re looking for an experienced Applied Scientist to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems — ensuring we provide the most accurate and transparent pricing possible — the scope goes well beyond pricing. You’ll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.</p>
<h3>What You'll Need</h3>
<ul>
<li>
<p>Strong software engineering and coding skills in Python, with experience contributing to production codebases</p>
</li>
<li>
<p>5+ years of experience developing and deploying ML models end-to-end — from research and prototyping to implementation in production systems</p>
</li>
<li>
<p>Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar&nbsp;</p>
</li>
<li>
<p>Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field</p>
</li>
<li>
<p>Solid foundation in statistics and experimental design</p>
</li>
<li>
<p>Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly</p>
</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>
<p>Familiarity with Pyspark and distributed data processing</p>
</li>
<li>
<p>Background in search, recommendation systems, or personalization</p>
</li>
<li>
<p>Experience working with large language models (LLMs) or vision-language models (VLMs)</p>
</li>
<li>
<p>A genuine interest in real estate — no prior experience required, but you'll engage deeply with housing data&nbsp;</p>
</li>
</ul>
<h3>What You'll Do</h3>
<ul>
<li>
<p>Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models</p>
</li>
<li>
<p>Build interpretable ML models that can help us explain pricing decisions to customers</p>
</li>
<li>
<p>Incorporate unstructured data — like images, videos, or text — into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)</p>
</li>
<li>
<p>Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems</p>
</li>
<li>
<p>Improve the feature engineering and model training pipelines that power our production systems</p>
</li>
<li>
<p>Rethink our risk and optimization models using real-world data and domain insight</p>
</li>
</ul>
<p>We’re a small, nimble team — there’s ample opportunity to work across the entire research and modeling stack.</p>
<h3><strong>Compensation</strong></h3>
<p>The base pay range for this position is&nbsp;<strong>$176,800-243,100</strong>&nbsp;annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.</p>
<p>&nbsp;</p><div class="content-conclusion"><div id="message-list_1766449127.423929" class="c-virtual_list__item" data-qa="virtual-list-item" data-item-key="1766449127.423929">
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<p>At Opendoor, we’re rebuilding how people buy and sell homes, with more certainty, more choice, and less friction in the most important financial decision of their lives. Opendoor 2.0 is about focus, execution, and delivering real value for homeowners and those striving to become homeowners. Sales is central to that mission.</p>
<h2><strong>About the Role</strong></h2>
<p>We’re looking for a Senior Manager to lead the next chapter of our go-to-market evolution.&nbsp;&nbsp;Lead and transform a high-performance acquisition team by blending sales expertise with AI-powered operations. You'll drive pipeline growth, conversion improvement, and exceptional customer experience through data-driven strategy, intelligent automation, and hands-on coaching.</p>
<p>This role requires a unique combination: the analytical rigor to diagnose complex performance problems to drive business outcomes, the technical fluency to build AI-powered solutions for you and your sales team, and the coaching acumen to develop your team into world class sales reps. You'll lead a team of Home Sales Advisors while simultaneously redesigning how we route leads, analyze performance, and scale winning behaviors - leveraging AI tools to accelerate execution and unlock insights impossible to surface manually.</p>
<p>We're looking for someone who can toggle seamlessly between strategic thinking and tactical execution: diagnosing conversion funnel issues in the morning, prototyping an AI-powered lead router by afternoon, and delivering coaching feedback that evening.</p>
<h2><strong>What You'll Need</strong></h2>
<h3><strong>Core Leadership &amp; Sales Experience</strong></h3>
<ul>
<li><strong>8–10+ years in sales or revenue operations</strong>, including 3–5+ years leading managers and/or larger IC teams; proven track record of meeting and exceeding targets in high-velocity inbound/outbound environments</li>
<li><strong>Deep expertise in conversion optimization</strong>: demonstrated ability to diagnose funnel leakage, identify systemic vs. individual performance issues, and implement changes that materially improve lead-to-close rates</li>
<li><strong>Mastery of sales KPIs and analytics</strong>: comfortable running business reviews, building dashboards, interpreting propensity models, and coaching from the numbers</li>
</ul>
<p><br><br></p>
<h3><strong>AI &amp; Technical Capabilities</strong></h3>
<ul>
<li><strong>Hands-on experience with AI tools</strong> (e.g., Claude, ChatGPT, Cursor, or similar) to accelerate analysis, build prototypes, and automate workflows - not just familiarity, but actual implementation</li>
<li><strong>Ability to build functional prototypes</strong>: you can go from concept to working demo (lead routing logic, call analysis tools, coaching feedback generators) without waiting for engineering resources</li>
<li><strong>Comfort with data manipulation and basic scripting</strong>: experience with Excel/Google Sheets advanced formulas, SQL basics, or similar analytical tools to extract insights from messy data</li>
<li><strong>Track record of leveraging AI for operational improvement</strong>: examples might include automated transcript analysis, intelligent lead routing, personalized coaching feedback, or similar applications</li>
</ul>
<h3><strong>Diagnostic &amp; Problem-Solving Mindset</strong></h3>
<ul>
<li><strong>Pattern recognition in qualitative data</strong>: ability to analyze call transcripts, customer feedback, and rep performance to identify coaching opportunities and systemic process gaps</li>
<li><strong>Ruthless prioritization</strong>: can distinguish high-leverage changes from noise and articulate clear trade-offs when resources are constrained</li>
<li><strong>Systems thinking</strong>: understands how lead routing, rep development, compensation design, and technology stack work together as an interconnected system</li>
</ul>
<h3><strong>Communication &amp; Coaching</strong></h3>
<ul>
<li><strong>Exceptional coaching and feedback delivery</strong>: can identify specific behavioral patterns, deliver direct but supportive feedback, and tailor development approaches to individual learning styles</li>
<li><strong>Executive communication</strong>: able to distill complex analyses into clear, actionable recommendations for senior leadership</li>
<li><strong>Cross-functional influence</strong>: proven ability to partner with Marketing, Product, Ops, and Data Science to drive change without direct authority</li>
</ul>
<h3><strong>Operational Excellence</strong></h3>
<ul>
<li><strong>Builder mentality</strong>: thrives in ambiguity, willing to roll up sleeves and build solutions rather than just describing what should be built</li>
<li><strong>Program/project management skills</strong>: can sequence initiatives, manage dependencies, and drive adoption across resistant or change-fatigued teams</li>
<li><strong>Speed and adaptability</strong>: comfortable in fast-paced, evolving environments with shifting priorities</li>
</ul>
<h2><strong>What You'll Do</strong></h2>
<h3><strong>Team Leadership &amp; Development</strong></h3>
<ul>
<li><strong>Inspire and develop your team</strong> to act with urgency, hold themselves accountable, and execute with excellence in service of customers</li>
<li><strong>Build and implement AI-assisted coaching programs</strong>: use transcript analysis, performance pattern detection, and personalized feedback generation to accelerate rep development</li>
<li><strong>Design and deliver targeted coaching</strong>: identify specific skill gaps (objection handling, urgency creation, empathy) and create tailored development plans for each rep</li>
<li><strong>Hire and performance-manage</strong>: build a multi-layer team, develop future leaders, and make difficult personnel decisions when needed</li>
</ul>
<h3><strong>Performance &amp; Analytics</strong></h3>
<ul>
<li><strong>Own team KPIs</strong> (contacts, conversion rate, speed-to-lead, withdrawal rate, CSAT/NPS) and establish daily/weekly/monthly inspection mechanisms</li>
<li><strong>Diagnose conversion funnel issues with precision</strong>: move beyond surface-level metrics to identify exactly where and why deals are lost, using both quantitative data and qualitative analysis</li>
<li><strong>Build predictive models and decision tools</strong>: leverage AI to create intelligent lead routing logic, identify at-risk deals, and surface coaching priorities automatically</li>
<li><strong>Monitor leading indicators</strong>: implement early-warning systems for performance degradation (e.g., first-contact speed slippage, objection handling quality decline)</li>
</ul>
<h3><strong>AI-Powered Operations</strong></h3>
<ul>
<li><strong>Build and deploy AI tools</strong> to improve team effectiveness: lead routing algorithms, call analysis systems, automated feedback generators, or other high-leverage applications</li>
<li><strong>Automate insight generation</strong>: create systems that surface patterns in call transcripts, customer feedback, and performance data without manual review</li>
<li><strong>Continuously iterate</strong>: treat AI tools as products—gather user feedback from reps, measure impact, and improve over time</li>
<li><strong>Scale winning behaviors</strong>: use AI to codify and distribute best practices from top performers across the entire team</li>
</ul>
<h3><strong>Cross-Functional Partnership</strong></h3>
<ul>
<li><strong>Partner with Marketing, Product, Ops, and Pricing/Finance</strong> to refine playbooks, launch pilots, and scale proven motions</li>
<li><strong>Serve as voice of the sales team</strong>: translate frontline insights into product requirements, marketing message improvements, and pricing strategy refinements</li>
<li><strong>Drive process improvement</strong>: identify operational seams that negatively impact customer experience and mobilize cross-functional resources to solve them</li>
<li><strong>Manage escalations</strong>: serve as first point of contact for customer issues, diving into the weeds to remove blockers and communicate appropriately</li>
</ul>
<h3><strong>Strategic Execution</strong></h3>
<ul>
<li><strong>Design and implement high-leverage changes</strong>: intelligent lead routing, rep specialization models, compensation redesigns, or tech stack improvements—with clear rationale for prioritization</li>
<li><strong>Sequence initiatives thoughtfully</strong>: understand dependencies, manage change fatigue, and drive adoption through the organization</li>
<li><strong>Balance customer experience and profitability</strong>: make decisions that optimize for both long-term relationship value and near-term conversion efficiency</li>
<li><strong>Document and share learnings</strong>: create playbooks, case studies, and best practices that enable other teams to replicate success</li>
</ul>
<h2><strong>Compensation</strong></h2>
<p>Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. Pay varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. We also offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.</p>
<h2><strong>Why This Role Matters</strong></h2>
<p>At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Every percentage point improvement in conversion represents hundreds of families who get to move forward with their lives - whether that's escaping a difficult financial situation, relocating for a dream job, or simply getting the fresh start they need.</p>
<p>This role sits at the intersection of human expertise and AI capability. The best candidate will understand that AI doesn't replace coaching - it makes great coaching scalable. That intelligent routing doesn't eliminate the need for skilled reps - it ensures the right customer reaches the right rep at the right time. That automation doesn't reduce the importance of empathy - it creates space for reps to be more human by handling the mechanical work.</p>
<p>If you're energized by the challenge of building systems that work, developing people who grow, and using AI to unlock performance improvements that seemed impossible six months ago - we want to talk to you.<br><br>#LI-JC<br>#LI-Onsite</p><div class="content-conclusion"><div id="message-list_1766449127.423929" class="c-virtual_list__item" data-qa="virtual-list-item" data-item-key="1766449127.423929">
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<p><span style="font-size: 14pt;"><strong>Data Scientist, Pricing</strong></span></p>
<p><em><strong>Location: Hyrbrid 4 onsite, 1 remote </strong>Seattle WA.&nbsp;</em></p>
<p>&nbsp;</p>
<p>Opendoor is transforming one of the largest, most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.</p>
<p>We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy — tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.</p>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Build and maintain pricing metrics, dashboards, and frameworks.</li>
<li>Run experiments and causal analyses to measure impact and drive decisions.</li>
<li>Develop predictive + statistical models that improve pricing accuracy.</li>
<li>Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.</li>
<li>Deliver insights and narratives that inform executive strategy.</li>
</ul>
<p><strong>Skills &amp; Qualifications</strong></p>
<ul>
<li>Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.</li>
<li>Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.</li>
<li>Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).</li>
<li>Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.</li>
<li>Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.</li>
<li>High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.</li>
<li>Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.</li>
<li>8+ years of experience in data science, product analytics, or a similar quantitative role.</li>
</ul>
<p>&nbsp;</p>
<p><span style="font-size: 8pt;"><em>Base salary range for this role varies. Generally, the base salary range is $186,000 – $256,000 annually + RSUs + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).</em></span></p>
<p>#LI-RO</p>
<p style="line-height: 1;"><span style="color: rgb(236, 240, 241);">#</span></p>
<p style="line-height: 1;"><span style="color: rgb(236, 240, 241);">#LI-KC1</span></p><div class="content-conclusion"><div id="message-list_1766449127.423929" class="c-virtual_list__item" data-qa="virtual-list-item" data-item-key="1766449127.423929">
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<h1>Software Engineer, Security Engineering</h1>
<p><strong>Team</strong>: IT, Security, and Corporate Engineering<br><strong>Location</strong>: Seattle, Washington&nbsp;</p>
<h2>About the Role</h2>
<p>At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.</p>
<p>Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.</p>
<h2>What You'll Do</h2>
<ul>
<li>Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.</li>
<li>Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.</li>
<li>Set new standards and security patterns for AI maximalist engineering and operations.</li>
<li>Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.</li>
<li>Mentor engineers and colleagues in security, software engineering, and AI.</li>
</ul>
<h2>Tech Stack</h2>
<ul>
<li><strong>Languages</strong>: Python, Go, Ruby, Terraform</li>
<li><strong>Corporate Platforms</strong>: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike</li>
<li><strong>Engineering</strong>: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)</li>
<li><strong>AI Tools</strong>: Claude, OpenAI, agent frameworks, workflow automation</li>
</ul>
<h2>What You'll Need</h2>
<ul>
<li><strong>Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway.</strong> You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.</li>
<li>Business enablement security mindset - measuring security success by business impact, which means informed risk taking.</li>
<li>8+ years of software engineering experience with strong skills in Python, Go, or similar languages.</li>
<li>Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.</li>
<li>Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.</li>
</ul>
<h2>Bonus Points For</h2>
<ul>
<li>Incident response training and experience.</li>
<li>M.S. in Computer Science or security-focused graduate work.</li>
</ul>
<h2>Compensation</h2>
<p>The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.</p>
<p>#LI-RO</p><div class="content-conclusion"><div id="message-list_1766449127.423929" class="c-virtual_list__item" data-qa="virtual-list-item" data-item-key="1766449127.423929">
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<h3>About the Role</h3>
<p>We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.</p>
<p>You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.</p>
<h3>What You'll Do</h3>
<ul>
<li>
<p>Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.</p>
</li>
<li>
<p>Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.</p>
</li>
<li>
<p>Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.</p>
</li>
<li>
<p>Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.</p>
</li>
<li>
<p>Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.</p>
</li>
<li>
<p>Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices.&nbsp;</p>
</li>
<li>
<p>Develop and maintain disaster recovery and business continuity strategies.&nbsp;</p>
</li>
<li>
<p>Conduct architecture reviews, performance tuning, and capacity planning.</p>
</li>
<li>
<p>Stay up to date with industry trends and emerging technologies, proactively recommending improvements.<br>&nbsp;</p>
</li>
</ul>
<h3>What You'll Need</h3>
<ul>
<li>
<p>8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.</p>
</li>
<li>
<p>Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).</p>
</li>
<li>
<p>Deep hands-on experience with Kubernetes (EKS) in production environments.</p>
</li>
<li>
<p>Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.</p>
</li>
<li>
<p>Experience with microservices and distributed systems architectures.</p>
</li>
<li>
<p>Strong scripting and automation skills (e.g., Python, Bash, Go).&nbsp;</p>
</li>
<li>
<p>Proven experience with monitoring, logging, and observability systems.</p>
</li>
<li>
<p>Solid understanding of networking, security, and cloud infrastructure best practices.</p>
</li>
<li>
<p>Experience in a high-scale, SaaS or cloud-native environment.</p>
</li>
<li>
<p>Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.</p>
</li>
<li>
<p>Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.</p>
</li>
<li>
<p>AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.<br>&nbsp;</p>
</li>
</ul>
<h3>Why Join Us</h3>
<ul>
<li>
<p>Work on cutting-edge cloud infrastructure and architecture.</p>
</li>
<li>
<p>Make a real impact on how we scale and ship reliable services.</p>
</li>
<li>
<p>Collaborate with a team of passionate engineers in a culture of learning and growth.</p>
</li>
<li>
<p>Competitive compensation, equity, and benefits package.<br>&nbsp;</p>
</li>
</ul>
<h3>Compensation</h3>
<p>The base pay range for this position is <strong>$<span class="collapsed-field-text">214,000 - $294,800 </span>&nbsp;</strong>annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.</p>
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<h2><strong>About the Role</strong></h2>
<p>You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.</p>
<p>You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.</p>
<h2><strong>What You'll Do</strong></h2>
<h3><strong>1. Lifecycle Platform &amp; Campaign Infrastructure</strong></h3>
<ul>
<li>Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.</li>
<li>Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.</li>
<li>Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.</li>
<li>Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.</li>
</ul>
<h3><strong>2. Conversion Tracking &amp; Attribution</strong></h3>
<ul>
<li>Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.</li>
<li>Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.</li>
<li>Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.</li>
</ul>
<h3><strong>3. Automation, Tooling &amp; Experimentation</strong></h3>
<ul>
<li>Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.</li>
<li>Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.</li>
<li>Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.</li>
</ul>
<h2><strong>What You'll Need</strong></h2>
<p><strong>Technical

Skills

</strong></p>
<ul>
<li>Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)</li>
<li>Strong HTML/CSS for responsive email templates; comfortable reading JavaScript</li>
<li>Experienced with CDP platforms (Segment Personas or similar)</li>
<li>Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking</li>
<li>Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)</li>
<li>Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis</li>
<li>Proficient in SQL for campaign analysis and troubleshooting</li>
</ul>
<p><strong>Experience:</strong></p>
<ul>
<li>5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale</li>
<li>Track record building infrastructure — not running campaigns — that measurably increases team velocity</li>
<li>Proven ability to drive data infrastructure through Engineering and Product without direct authority</li>
<li>Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact</li>
</ul>
<p><strong>Mindset:</strong></p>
<ul>
<li>Infrastructure builder: you design systems that eliminate entire categories of manual work</li>
<li>AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving</li>
<li>High-agency IC: you architect solutions, prototype independently, and build them yourself</li>
</ul>
<h2><strong>Bonus Points</strong></h2>
<ul>
<li>High-consideration, high-value transactional businesses (real estate, automotive, financial services)</li>
<li>Amplitude or Optimizely experimentation platform experience</li>
<li>Figma for prototyping templates</li>
<li>Analytics engineering or data visualization (Looker, Mode, Tableau)</li>
<li>Segment CDP, mobile push, or in-app messaging experience</li>
</ul>
<h2><strong>Compensation</strong></h2>
<p>Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.&nbsp; All compensation parameters are based on experience.</p>
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<p>Software Engineer ML Ops, Pricing (Senior)</p>
<p>Seattle, WA</p>
<h3>About the Team &amp; Role</h3>
<p>The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business. Our services and data infrastructure are mission-critical to pricing decisions and automation, and they must be fast, accurate, and resilient—because even small improvements can drive major business impact.</p>
<p>We’re looking for a senior-level Software Engineer to join our Pricing &amp; ML team, leading the design and evolution of the platform and tooling that productionize the machine learning models behind our pricing engine. This role is ideal for an engineer who enjoys working close to data and models, has meaningful experience with ML workflows, and wants to shape technical direction as well as ship high-impact systems. Our models are pragmatic and straightforward—we prioritize value, reliability, and iteration speed over complex research systems.</p>
<p>In this role, you’ll work side-by-side with backend software engineers, data scientists, ML engineers, product managers, and partner engineering and operations teams to turn prototypes and ideas into robust, scalable, and observable production systems. You’ll own high-impact initiatives end-to-end, mentor other engineers, and have significant influence over how our pricing platform evolves and how we shape the future of real estate.</p>
<h3>What You’ll Do</h3>
<ul>
<li>Lead the design and implementation of services, tooling, and workflows that enable reliable training, deployment, and monitoring of pricing and ML models</li>
<li>Work closely with researchers and analysts to convert model prototypes into clean, testable, production-ready Python code and systems</li>
<li>Own and operate model pipelines end-to-end — including data ingestion, training, validation, versioning, deployment, and monitoring</li>
<li>Design and maintain workflows that support the full ML lifecycle: experimentation, training, evaluation, deployment, and iteration</li>
<li>Develop and optimize data access patterns and SQL queries over large, complex datasets</li>
<li>Implement robust automation for key ML lifecycle workflows (e.g., scheduled retraining, rollbacks, A/B tests, canary releases)</li>
<li>Drive improvements in reliability, observability, performance, and cost-efficiency across ML pipelines and model-serving environments</li>
<li>Proactively address real-world challenges like data drift, model decay, and changing market conditions in the real estate domain</li>
<li>Contribute to and help define shared ML infrastructure, patterns, and best practices across the Pricing &amp; ML team</li>
<li>Lead code reviews and technical design discussions; mentor and support other engineers on ML-adjacent work</li>
<li>Participate in and help improve on-call and incident response processes for ML systems</li>
</ul>
<h3>What You’ll Need</h3>
<ul>
<li>8+ years of experience in software engineering or 6 Years with a Masters or ML engineering, including substantial work with ML-adjacent or production ML workflows</li>
<li>Strong proficiency in Python, with a track record of writing maintainable, modular, and well-tested production code</li>
<li>Solid experience working with SQL (queries, joins, indexing, and performance optimization)</li>
<li>Proven experience owning and operating data pipelines and/or model training/serving pipelines in production or high-stakes environments</li>
<li>Deep familiarity with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration)</li>
<li>Demonstrated ability to make and communicate technical design decisions and tradeoffs across multiple stakeholders</li>
<li>Strong collaboration and communication skills, especially when working with data scientists, researchers, and cross-functional partners</li>
<li>A bias toward impact, learning, and pragmatic solutions in a fast-moving, high-stakes domain</li>
</ul>
<p><strong>Focus:</strong></p>
<ul>
<li>&nbsp;- ML infrastructure and operations rather than model research.</li>
<li>&nbsp;- Building, deploying, and maintaining ML pipelines and systems.</li>
<li>&nbsp;- All roles are expected to be hands-on coding roles.</li>
<li>&nbsp;- All MLOps roles are expected to be Seattle-based.</li>
</ul>
<p>Nice to Have</p>
<ul>
<li>Experience working on ML systems in business-critical environments (e.g., pricing, forecasting, logistics, marketplaces, risk)</li>
<li>Familiarity with ML ops concepts and tools (e.g., model serving frameworks, feature stores, experiment tracking, model registries)</li>
<li>Experience with tools such as MLflow, Airflow, Spark, or Delta Lake</li>
<li>Experience monitoring model performance in production (e.g., drift detection, quality alerts, dashboards)</li>
<li>Experience with streaming / event-driven systems (e.g., Kafka) or scheduling/orchestration tools</li>
<li>Comfort working in a Linux-based, cloud-hosted environment (e.g., AWS)</li>
<li>Interest in real estate or other messy, high-stakes domains with imperfect data</li>
</ul>
<p><em>The base pay range for this position is $205,000 - $281,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience.&nbsp; We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.</em></p>
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<h1>Software Engineer, Financial Systems</h1>
<p><strong>Team</strong>: IT, Security, and Corporate Engineering<br><strong>Location</strong>: Seattle, Washington</p>
<h2>About the Role</h2>
<p>At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.</p>
<p>&nbsp;</p>
<p>We are eliminating the manual work that slows down operations.&nbsp; We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.&nbsp; You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.</p>
<h2>What You'll Do</h2>
<ul>
<li>Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.</li>
<li>Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.</li>
<li>Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.</li>
<li>Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.</li>
<li>Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.</li>
</ul>
<h2>Tech Stack</h2>
<ul>
<li><strong>Financial Platforms</strong>: NetSuite (ERP), Ramp (spend management), bank APIs</li>
<li><strong>Data &amp; Analytics</strong>: Snowflake, dbt, Airflow/Dagster, Quicksight</li>
<li><strong>Languages</strong>: Python, Go, SQL, TypeScript/Node.js</li>
<li><strong>Infrastructure</strong>: AWS, Terraform, Docker, GitHub Actions</li>
<li><strong>AI &amp; Automation</strong>: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration</li>
</ul>
<p>&nbsp;</p>
<h2>What You'll Need</h2>
<ul>
<li>Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.</li>
<li>8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.</li>
<li>Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.</li>
<li>Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.</li>
<li>Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions</li>
<li>Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.</li>
</ul>
<h2>Bonus Points For</h2>
<ul>
<li>Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.</li>
<li>Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).</li>
<li>Track record building AI-powered automation, workflow orchestration, or internal tools.</li>
<li>M.S. in Computer Science.</li>
</ul>
<h2>Compensation</h2>
<p>The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.</p>
<p>&nbsp;</p>
<p>#LI-RO</p><div class="content-conclusion"><div id="message-list_1766449127.423929" class="c-virtual_list__item" data-qa="virtual-list-item" data-item-key="1766449127.423929">
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<h3><strong><strong>About The Role</strong></strong></h3>
<p>We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.</p>
<h3><strong><strong>What You’ll Do</strong></strong></h3>
<p>Lead the search program end-to-end</p>
<ul>
<li>
<p>Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.</p>
</li>
<li>
<p>Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).</p>
</li>
</ul>
<p>Apply AI to scale performance and quality</p>
<ul>
<li>
<p>Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.</p>
</li>
<li>
<p>Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.</p>
</li>
</ul>
<p>Build a rigorous testing framework</p>
<ul>
<li>
<p>Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.</p>
</li>
<li>
<p>Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.</p>
</li>
</ul>
<p>Elevate measurement and signal quality</p>
<ul>
<li>
<p>Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.</p>
</li>
<li>
<p>Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC</p>
</li>
<li>
<p>Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.</p>
</li>
</ul>
<p>Drive geo precision and market governance</p>
<ul>
<li>
<p>Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.</p>
</li>
</ul>
<p>Orchestrate SEO/AEO/Social Search convergence</p>
<ul>
<li>
<p>Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.</p>
</li>
<li>
<p>Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.</p>
</li>
</ul>
<p>Cross-functional and partner leadership</p>
<ul>
<li>
<p>Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.</p>
</li>
<li>
<p>Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.</p>
</li>
<li>
<p>Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.</p>
</li>
</ul>
<p>Document and scale</p>
<ul>
<li>
<p>Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.</p>
</li>
</ul>
<h3><strong><strong>What You’ll Need</strong></strong></h3>
<ul>
<li>
<p>7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.</p>
</li>
<li>
<p>Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.</p>
</li>
<li>
<p>Hands-on AI/automation

experience

platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.</p>
</li>
<li>
<p>Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.</p>
</li>
<li>
<p>Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; <strong>SQL is highly preferred</strong>.</p>
</li>
<li>
<p>Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.</p>
</li>
<li>
<p>Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.</p>
</li>
<li>
<p>Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).</p>
</li>
<li>
<p>Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.</p>
</li>
<li>
<p>Ownership mindset with flexibility to switch between strategy and hands-on execution.</p>
</li>
</ul>
<h3><strong><strong>Preferred</strong></strong></h3>
<ul>
<li>
<p>Experience in real estate, fintech/proptech, or performance-driven consumer brands.</p>
</li>
<li>
<p>Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic</p>
</li>
<li>
<p>Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.</p>
</li>
<li>
<p>Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.</p>
</li>
</ul>
<h3><strong><strong>How We Measure Success</strong></strong></h3>
<ul>
<li>
<p>Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline</p>
</li>
<li>
<p>Brand vs. non-brand efficiency; impression share/share of voice.</p>
</li>
<li>
<p>Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.</p>
</li>
<li>
<p>Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection&nbsp;</p>
</li>
<li>
<p>Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.</p>
</li>
</ul>
<h3><strong>Compensation</strong></h3>
<p>Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.&nbsp; All compensation parameters are based on experience.</p><div class="content-conclusion"><div id="message-list_1766449127.423929" class="c-virtual_list__item" data-qa="virtual-list-item" data-item-key="1766449127.423929">
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<p>Software Engineer – Backend, Pricing (Senior level or higher)</p>
<p>Seattle, WA</p>
<h3>About the Team</h3>
<p>The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.</p>
<p>We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.</p>
<p>As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.</p>
<h3>What You’ll Do</h3>
<ul>
<li>Own the design, implementation, and evolution of core pricing services</li>
<li>Design data models and write high-performance SQL over large PostgreSQL datasets</li>
<li>Architect and improve APIs and integrations with Opendoor’s core marketplace platform</li>
<li>Lead technical design reviews and set best practices for code quality, testing, and observability</li>
<li>Partner with data science to productionize pricing models and build robust model-serving pipelines</li>
<li>Drive reliability, latency, and scalability improvements across pricing systems</li>
<li>Mentor other engineers and help grow the technical capabilities of the team</li>
<li>Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end</li>
</ul>
<h3>What You’ll Need</h3>
<ul>
<li>5+ years of professional backend software engineering experience</li>
<li>Significant experience building and operating production systems in Go or Python</li>
<li>Deep proficiency with SQL and relational databases (PostgreSQL preferred)</li>
<li>Strong track record designing, building, and evolving APIs in a microservices environment</li>
<li>Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)</li>
<li>Experience leading technical projects from design through rollout and support</li>
<li>Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>Experience with Kafka or similar event-streaming technologies</li>
<li>Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)</li>
<li>Experience with BPMN or other workflow engines and long-running business processes</li>
<li>Experience with Redis or other caching / storage optimization technologies</li>
<li>Experience with gRPC and service-to-service communication patterns at scale</li>
<li>Prior experience in pricing, marketplaces, or other data-intensive domains</li>
</ul>
<h3><strong>Compensation</strong></h3>
<p>The base pay range for this position is <strong>$176,000-$282,000</strong>&nbsp;annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.</p>
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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<h1 class="p-rich_text_section"><strong>About the Role</strong></h1>
<div class="p-rich_text_section">Opendoor is seeking an <strong data-stringify-type="bold">AI/ML Platform Engineer</strong> to join our Engineering team in our Seattle, WA office and will play a critical role in our strategic transition to AI-powered pricing models. This high-impact, business-critical position will focus on building the scalable, production-grade platform and infrastructure necessary to support sophisticated ML models, particularly leveraging complex data sources like imagery and video.</div>
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<h1 class="_7uu25p0 qt3gz9c _7pq7t612 heading4 _7uu25p1">What You'll Do</h1>
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<li><strong>Platform Leadership:</strong> Lead the architecture, design, and implementation of the AI/ML feature platform, focusing on scalability, reliability, and high performance for core business systems (e.g., pricing, transaction platforms).</li>
<li><strong>Feature Engineering Infrastructure:</strong> Design and build large-scale data pipelines responsible for generating, indexing, and versioning AI-derived features (predictions, embeddings) from structured and unstructured data, with a specific emphasis on image and video data.</li>
<li><strong>AI Integration: </strong>Ensure seamless integration of ML capabilities into production, setting technical standards for real-time AI consumption and agentic optimization within pricing and customer-facing products.</li>
<li><strong>Cross-Functional Collaboration: </strong>Partner closely with Data Science, Product, and Operations teams to translate business needs into technical requirements, ensuring the platform delivers tangible business outcomes like reduced spreads and increased transaction volume.</li>
<li><strong>Mentorship &amp; Direction: </strong>Serve as a technical mentor and leader, setting the technical direction and best practices for the new AI/ML platform group.</li>
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<h1 class="_7uu25p0 qt3gz9c _7pq7t612 heading4 _7uu25p1">What You'll Need</h1>
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<li data-stringify-indent="0" data-stringify-border="0">Extensive experience as a technical leader (Staff/Senior Staff level) in large-scale, production software and data environments.</li>
<li data-stringify-indent="0" data-stringify-border="0">Proven track record of designing and implementing ML/Data Platforms or Feature Stores that directly support production AI/ML models.</li>
<li data-stringify-indent="0" data-stringify-border="0">Deep expertise in distributed systems, cloud infrastructure, and large-scale data processing (e.g., vector search, data versioning).</li>
<li data-stringify-indent="0" data-stringify-border="0">Strong background in data infrastructure and API design, particularly serving data for machine learning consumption.</li>
<li data-stringify-indent="0" data-stringify-border="0">Experience in a domain where AI/ML is critical to the core business (e.g., pricing, optimization, recommendations).</li>
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<h1 class="_7uu25p0 qt3gz9c _7pq7t612 heading4 _7uu25p1">Highly Sought-After Skills</h1>
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<li data-stringify-indent="0" data-stringify-border="0">Prior experience with computer vision pipelines or handling large-scale image/video data for ML.</li>
<li data-stringify-indent="0" data-stringify-border="0">Familiarity with the technical challenges of managing compute and data versioning to optimize ML iteration cycles.</li>
<li data-stringify-indent="0" data-stringify-border="0">Experience with agentic optimization frameworks.</li>
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<h1><strong>Compensation</strong></h1>
<p>The base pay range for this position is <strong>$247,000.00 - $339,900.00</strong>&nbsp;annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.</p><div class="content-conclusion"><div id="message-list_1766449127.423929" class="c-virtual_list__item" data-qa="virtual-list-item" data-item-key="1766449127.423929">
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<div class="p-rich_text_section">At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.</div>
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