Product Manager II for Recommendations Platform at Tinder overseeing ML and Infrastructure collaboration. Bridging technical coordination issues, improving systems, and enhancing delivery effectiveness in a hybrid role.
Responsibilities
Act as the bridge between ML and Infrastructure: Work closely with the Recs ML PM and ML team to understand upcoming model and system requirements. Align with Infrastructure leads on priorities, dependencies, and resource planning. Track progress, manage expectations, and communicate timelines and trade-offs to stakeholders across Recs, Infra, and leadership.
Drive alignment and visibility: Maintain a clear view of all Recs-related infra initiatives, what’s planned, what’s in flight, and what’s blocked. Create documentation and updates that improve visibility and ensure the right conversations happen early.
Improve experimentation methodology: Partner with Data Science and Engineering to design testing frameworks that capture impact across both sides of the network, account for ecosystem effects, and provide confident reads on retention and revenue.
Evolve internal tools and workflows: Partner with Engineering to build and evolve internal tools that make the Recs team faster and more effective. The scope includes systems that identify available testing markets, detect overlapping experiments, monitor live experiments for conflicts or data anomalies, and support debugging and QA. Drive enhancements to tools like Recs Viewer or build new utilities that help engineers and data scientists test, validate, and visualize Recs changes more efficiently.
Enhance reliability and speed of delivery: Identify bottlenecks across model deployment, experimentation, and data pipelines. Work cross-functionally to streamline testing, rollout, and validation workflows to increase overall delivery velocity.
Establish clear testing guidance: Create playbooks, best practices, and decision frameworks for choosing between methodologies (e.g., user-level, pair market, or holdout testing) depending on feature type and objective.
Requirements
3–5 years of Product Management experience in a platform, experimentation, or data-focused product area.
Strong understanding of A/B testing principles, including experiment design, statistical power, and interpreting metrics with lagging effects.
Demonstrated ability to work closely with Engineering and Data Science on analytical and technical challenges.
Excellent communication skills and the ability to bring clarity and alignment across diverse stakeholders.
A systems mindset, you can untangle complex workflows and create structured, scalable solutions.
Familiarity with causal inference, holdout testing, or ecosystem-level experimentation.
Benefits
Unlimited PTO (with no waiting period), 10 annual Wellness Days
Time off to volunteer and charitable donations matching
Comprehensive health, vision, and dental coverage
100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development
Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
Free premium subscriptions for several Match Group apps – including Tinder Platinum!
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