Product Manager, AI Platform & Performance
Sigma Computing - San Francisco, CA
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $180K-$220K not verified - source not recorded; timestamp not recorded
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $102,662 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +5.4% - Faster than average
95% above the BLS role benchmark for product management aggregate.
Matched to SOC 11-1021 - Product Management aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Product Manager, AI Platform & Performance San Francisco, CA About the role Every Sigma experience - every query, every workbook, every agent interaction - runs on a platform that has to be fast, observable, and reliable at enterprise scale. As PM for AI Platform and Performance, you'll own the foundational capabilities that make that possible: query execution, compute and caching, metadata services, compiler components, agent infrastructure, platform observability, and data connectors. This role is for a technically strong PM who can move comfortably between infrastructure tradeoffs and customer conversations - and who gets energy from both. What you'll do - Own the roadmap for how Sigma's AI platform scales - compute, observability, connectors, and the query infrastructure that powers it all. - Partner closely with enterprise customers to understand performance pain points and translate them into platform improvements. - Work with engineering to ship meaningful gains in latency, throughput, reliability, and cost efficiency. - Build the observability and agent monitoring capabilities that give customers and internal teams real visibility into how their workloads run. - Make active prioritization calls across a wide surface area, with clear reasoning behind every tradeoff. What we're looking for - 5+ years of product management experience in B2B SaaS, data platforms, analytics, infrastructure, or developer-facing products - A track record of owning and delivering a product roadmap end-to-end across technically complex areas - Strong working knowledge of databases, distributed systems, query engines, caching, APIs, and cloud infrastructure - Experience with observability tooling, agent monitoring, or
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