This role pays more than
93%
of similar roles. Most pay
$165,000–$214,500
— the shaded band above.
At the midpoint, this role pays about
$260k
versus about
$190k
for comparable roles.
Based on 240 similar postings.
Employer
About Intuit
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has
191 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 175 roles with salary data.
The Senior Staff Software Engineer joins the Virtual Expert Platform (VEP) Sales Tech organization to provide technical leadership for an agentic AI seller platform. This role involves architecting scalable, secure, and interoperable systems that integrate with Salesforce and complex data pipelines to power the lead-to-cash journey. The engineer will spend significant time on high-level architecture, technical strategy, and resolving complex cross-team problems while remaining hands-on in development. Key responsibilities include designing multi-agent systems, establishing AI safety guardrails, and defining engineering standards for production models. Required skills include expert proficiency in Java or C#, experience with LLM-based agentic systems, and knowledge of big data technologies like Spark, Kafka, and SQL within warehouse environments. The role addresses the challenge of moving from isolated AI features to a cohesive, governed, and autonomous selling platform.
What does a Software Engineer earn in California?
Median $214000 from 830 postings across 69 companies.
Architect scalable and secure platforms that integrate with Salesforce and complex data pipelines.
Contribute 40 to 60 percent of time to hands-on software development across the lifecycle.
Resolve complex, ambiguous technical problems that span multiple teams and domains.
Define technical standards, reference architectures, and safety frameworks for AI in production.
Design evaluation, observability, and guardrail frameworks for responsible AI integration.
Translate technical strategy and trade-offs into actionable roadmaps for senior business leadership.
Mentor staff engineers and grow the organization's internal capacity for AI capabilities.
Identify and integrate emerging technologies from the evolving AI and data landscape.
What we're looking for
12+ years of experience building web, software, or data-intensive applications with a track record of technical leadership at the Senior Staff level or above.
Demonstrated experience architecting end-to-end ecosystems for analytical and customer-centric platforms at scale.
Expert-level proficiency in at least one object-oriented language such as Java/J2EE or C#.
Hands-on experience designing and shipping AI/ML capabilities in production, including LLM-based or agentic systems.
Proven ability to influence technical direction across teams and communicate complex trade-offs to senior leadership.
BS/MS in Computer Science or equivalent practical experience.
Experience with Salesforce or other CRM platforms (preferred).
Experience with agent frameworks, model orchestration, vector search, or building AI evaluation and observability tooling (preferred).
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