Apple
Product Solutions Analyst, Recruiting Technology
$134K–$225K
Austin, Texas +3 · Full-time · Posted Sep 30, 2026
- Location
- Austin, Texas
Cupertino, California
Durham, North Carolina
Seattle, Washington - Experience
- 7+ years; no alternative stated.
About the job
Drives strategy, operations, analytics, and AI-enabled improvements for Apple’s recruiting technology, including its ATS and related systems.
What you'll do
- Align product priorities, roadmaps, planning, capacity, and outcomes across teams; facilitate decisions and resolve organizational friction.
- Define metrics and data strategy, and build dashboards, reports, and analytics to guide investment and leadership decisions.
- Translate recruiting needs into product requirements and process recommendations; prototype AI uses and improve recruiting technology and workflows.
What they ask for
- 7+ years in product management, strategy and operations, business operations, or a comparable role within a technology product organization.
- Experience designing and implementing cross-system recruiting processes in an in-house HR or recruiting product/process role, from design through delivery and ongoing improvement.
- End-to-end ownership and launch of an AI-powered product feature or capability with measurable impact; demonstrated use of AI to streamline team workflows.
- Cross-functional leadership and senior-leader facilitation; strong analytical skills, experience with OKRs or comparable frameworks, and proficiency with data visualization tools.
Nice to have
- Experience in recruiting, HR, or People technology; leading organizational change; or designing processes involving people, technology, and compliance.
- Hands-on experience building AI-enabled workflows at scale, Agile development, modern product practices, or complex global environments.
Pay
$149,100 and $224,800 (base salary); $134,300 and $201,900 (base salary)
Tools
Applicant Tracking System (ATS), AI, OKRs
AI focus
Own and apply AI-powered product capabilities, prototype AI uses for recurring analysis, research, synthesis, and workflow automation, and promote AI-forward ways of working.
Model-written summary · the original posting is authoritative