Senior Product Manager (Recommendations)

Join our team as a Senior Product Manager (Recommendations) and take ownership of the ideas that drive our company forward. You will research competitors, the industry, and our users to generate new feature ideas, pitch them to our CEO, and execute them once approved. You will own recommendations and discovery across multiple platforms, design experiences, partner with Data Science, run experiments, and build impact cases. This role is based in San Francisco and offers comprehensive health plans, a dog-friendly office, expat integration support, free lunches, professional coaching, and regular social events.

• Research competitors, the industry, and users to generate new feature ideas, and maintain a live Top 3 list of the highest-impact ideas for your area.
• Pitch new feature ideas to the CEO, incorporating feedback and continuously refining the pitch until approved.
• Own the execution of approved features, including release and A/B ramping, and ensure that the impact of the features is measured and reported accurately.

• Based in San Francisco. This role is five days a week onsite
• Nice to have: content or entertainment recommendations (streaming, serialized fiction, short-form video, audio, games); LLM-based ranking, embeddings or generative approaches to catalogue understanding; experience with a catalogue created in-house rather than uploaded by users
• You understand how these systems work underneath. Candidate generation and ranking, cold start, feedback loops, popularity bias, exploration versus exploitation. You can hold your own with the people training the models
• Numbers you produce yourself. Advanced SQL. You build the analysis rather than commissioning it
• You have shipped a recommendation, ranking, search or personalisation system that real users felt — and you can explain what you changed, what moved, and how you knew it was causal
• You can tell an offline win from a business win. Plenty of people have improved an NDCG. We care that you have moved reading time, conversion or renewal, and that you can show the experiment design behind it
• 5–12 years of professional experience. We measure years on the job, not years holding a “product manager” title. If you came to product from data science, analytics or engineering, that is an advantage here rather than a gap
• Consumer product instinct — this is a reader-facing experience, not an internal tool
• Have lots of fun building a generational AI x Entertainment company
• Data driven — and does the analysis themselves
• Brings solutions instead of problems
• Comfortable being measured against their own forecast
• Generates ideas rather than waiting for them
• Looking for exponential career growth
• Quick to action