This role pays more than
71%
of similar roles. Most pay
$120,500–$196,750
— the shaded band above.
At the midpoint, this role pays about
$187k
versus about
$159k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3553 open roles
on FindRole.
Listed pay typically runs
$165,800–$277,600
across 2740 roles with salary data.
As a Product Solutions Analyst, Recruiting Technology, you will join the Recruiting Technology team to build and improve systems that power how talent is attracted, evaluated, and hired. You will manage complex, cross-functional problems at the intersection of product management and operations, translating ambiguous recruiting needs into structured requirements and scalable processes. Your daily work involves partnering with engineering teams to develop an Applicant Tracking System, defining data strategies, and designing dashboards for stakeholders. You will specifically focus on integrating AI to automate recurring analysis and streamline internal workflows while ensuring compliance with global data protection regulations like GDPR. The role requires expertise in product management, strategy, and operations within a technology organization. Key skills include experience with Agile methodologies, data visualization tools, OKR frameworks, and designing automated, AI-enabled workflows for large-scale recruiting systems.
Design and improve the Applicant Tracking System (ATS) and related internal recruiting technologies.
Translate ambiguous business needs into structured product requirements and scalable process recommendations.
Define key metrics and develop data strategies to inform investment decisions for recruiting technology.
Identify and resolve organizational friction and process gaps to streamline cross-functional workflows.
Prototype and implement AI-driven solutions to automate recurring analysis and improve team operations.
Manage the transition of high-level strategy into actionable roadmaps, priorities, and measurable outcomes.
Facilitate workshops with senior leaders to resolve competing perspectives and reach firm decisions.
Create dashboards and self-service analytics tools for stakeholders across the organization.
What we're looking for
7+ years of experience in product management, strategy and operations, business operations, or a comparable role within a technology product organization.
Experience as a product manager or technical partner in an in-house HR or recruiting product role designing and implementing cross-system processes.
Demonstrated experience owning and shipping an AI-powered product feature end-to-end with measurable impact on user experience or cycle time.
Demonstrated experience designing or improving how a product organization operates, including planning cycles, prioritization, and decision-making.
Track record of leading cross-functional partnership across product, engineering, design, data, and business teams to achieve alignment.
Facilitation experience that produces decisions with leaders who hold competing views.
Proficiency with data visualization tools in an AI-forward design approach.
Strong analytical skills including the ability to frame questions, analyze data, and translate findings into recommendations for leadership.
Experience leveraging AI to streamline team workflows (preferred).
Experience in recruiting, HR, or People technology and familiarity with People team operating models (preferred).
Hands-on experience building AI-enabled workflows at scale and automating manual work (preferred).
Experience designing business processes at the intersection of people, technology, and compliance (preferred).
Working experience in Agile development methodology and modern product development practices (preferred).
Experience working in complex global environments (preferred).
ITSM
Asset Management
Endpoint Management
Technical Support
Troubleshooting
Data Analysis
Software Distribution
Hardware Lifecycle Management
Service Desk
Knowledge Management
Telecommunications
Workstation Software
Business Process Analysis