Product Manager II, Recommendations Platform

Our Mission

Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45 languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™"

Our Values

One Team, One Dream

We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.

Own It

We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.

Never Stop Learning

We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.

Spark Solutions

We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.

Embrace Our Differences

We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.

The Role:

We’re looking for a Product Manager II, Recommendations Platform to help the Recs team test, scale, and launch new models and features more efficiently. In this role, you’ll bridge the gap between the Recs ML and Recs Infrastructure teams, making sure the models and systems the ML team builds are deployed smoothly, run reliably, and can scale as Tinder grows.

You’ll partner with the Recs ML PM and Engineering leads to translate model and experimentation needs into clear infra priorities, sequence work across teams, and make sure stakeholders have visibility into timelines, dependencies, and resourcing.

In parallel, you’ll drive improvements to internal tools that make the Recs organization faster and more effective including experimentation systems, Recs Viewer enhancements, debuggability tools, and better dogfooding experiences.

This role is perfect for someone who loves solving technical coordination problems, improving systems, and enabling teams to move faster through clear structure, process, and communication.

This is a hybrid role and requires in-office collaboration three times per week, in Palo Alto CA.

In this role, you will:

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

You’ll need:

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

As a full-time employee, you’ll enjoy:

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!

Commitment to Inclusion

At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei

If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.

#Tinder

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.