Technical Product​/Program Manager, Ecosystem Health

Location

San Francisco, New York, Los Angeles, Chicago

Full time

Hybrid

Product

• Bay Area Base Pay Range: $178K – $200K
• New York Base Pay Range: $178K – $200K
• Los Angeles Base Pay Range: $160K – $190K
• Chicago Base Pay Range: $160K – $190K

This role will also be eligible for equity, benefits, and a company bonus program.

Grindr is committed to fair and equitable compensation practices. This base pay range is for the U.S. and is not applicable to locations outside of the U.S. The actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, location, and market demands. The base pay range is subject to change and may be modified in the future.

About the Team:

Grindr (NSYE: GRND) is the largest GBTQ+ Social App in the world, used by over 14M+ monthly users in nearly every country in the world. We are a fundamental part of the global GBTQ+ community and are a pillar in gay culture. As we continue to build out the Global Gayborhood in your pocket, we are committed to providing a safe and trusted platform for meaningful connection, taking into account the particular safety needs of the community we serve.

We're looking for a Technical Product / Program Manager, Ecosystem Health to own and execute our moderation program and strengthen the integrity of Grindr's platform. This role focuses on the day-to-day operations and technical execution of our trust & safety systems, working hands‑on to combat fraud, spam, scams, abuse, and bad actors across our ecosystem.

You’ll be deeply involved in building and optimizing AI/ML‑powered moderation systems, implementing age assurance solutions across different regulatory environments, and developing features that enhance user trust and authenticity. This is a high‑impact role for someone who combines technical fluency with product thinking — someone who can work closely with engineering and data science teams to translate safety requirements into scalable, automated solutions while managing the operational realities of running a global moderation program.

This is a hybrid role based in our San Francisco, Los Angeles, Chicago, or New York office and will require you to be in the office on Tuesdays and Thursdays.

About the Job:

• Drive Moderation Operations:
  Own the day‑to‑day performance and effectiveness of our moderation and fraud prevention systems, monitoring key metrics around fraud, spam, scams, fake accounts, harassment, and other malicious behaviors while partnering with Customer Experience to identify gaps and prioritize improvements.
• Build Scaled AI/ML Systems:
  Partner closely with our DS/ML and engineering teams to build and maintain scaled ML + GenAI based moderation tools to keep Grindr safe
• Grow User Trust:
  Explore and deliver features as part of a broader trust and authenticity roadmap to address user and business needs including age assurance and user authenticity for a community that values discretion and privacy
• Data‑Driven Decision Making:
  Define and monitor metrics that measure fraud, risk, and ecosystem health; use data insights to proactively reduce exposure and improve user experience.
• Crisis & Incident Response:
  Support cross‑functional response plans for incidents impacting platform integrity and user safety.

Role Requirements:

• 5-7 years of product and program management experience, ideally at a consumer‑facing tech company
• Technical fluency:
  You’re comfortable working directly with engineers and data scientists, discussing model performance, API integrations, system architecture, and technical tradeoffs
• Hands‑on execution mindset:
  You thrive in the details of building and operating systems, not just setting strategy
• Strong analytical skills:
  You can work with data to diagnose problems, define success metrics, and validate that solutions are working
• Familiarity with AI/ML systems is a plus — you don’t need to build models yourself, but you should understand how to evaluate their performance and translate business requirements into model objectives
• Cross‑functional collaboration:
  You can influence engineering priorities, partner with legal and policy teams,…