Drimva

Match Group

VP of Product Management, Trust & Safety, Match Group

$300K–$335K

West Hollywood, California +2 · Hybrid · Director · Full-time · Posted Jul 9, 2026

Location
West Hollywood, California
San Francisco, California
Palo Alto, California
Experience
10+ years of product management experience; significant time in Trust & Safety, integrity, or a closely adjacent domain.

About the job

Leads Match Group’s portfolio-wide Trust & Safety product strategy, team, and shared infrastructure across its brands.

What you'll do

  • Set the long-term safety product strategy and roadmap across brands, prioritizing user research, scalable solutions, and proactive, user-visible safety.
  • Build and lead a central product management team, aligning brand and cross-functional stakeholders through influence.
  • Guide shared infrastructure and responsible AI investments, and translate global regulations into safety-by-design product capabilities.

What they ask for

  • 10+ years of product management experience in consumer technology, including significant experience in Trust & Safety, integrity, or a closely adjacent domain.
  • Track record of building and scaling product teams and leading horizontal, platform, or multi-brand product work.
  • Hands-on fluency with AI and machine learning in a product context, including responsible use and guardrails.
  • Ability to turn ambiguous, fast-moving problems into clear product strategy with measurable outcomes and lead through influence.

Nice to have

  • Experience operating across a multi-brand portfolio or integrating products following acquisition.
  • Familiarity with non-US safety regulations, Trust & Safety operations, moderation workflows, or AI/ML risk mitigation.

Pay

USD 300,000–335,000 per year base salary

Tools

AI, machine learning, LLMs, agentic coding tools

AI focus

Apply AI and machine learning to improve harm detection and moderation, reduce reviewer workload and user friction, and scale moderation and care while maintaining accuracy, fairness, privacy, and explainability.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)