Director of Product, Recommendations
Basis Set Ventures (Basis Set) is an AI-native venture capital fund founded in 2017 that invests in early-stage AI companies, positioning itself as the first capital for founders. The firm backs startups across automated workflows, autonomy, intelligent collaboration, and scalable infrastructure, serving early-stage AI founders and startups as its typical clients.
About Basis Set Ventures
Basis Set Ventures is an AI-native venture fund founded in 2017, built on the science of minds and machines, that recently announced its $250M Fund IV. The firm positions itself as the first institutional capital for founders and provides hands-on, 24/7 'founder concierge' support, acting as its portfolio companies' first customer, sales rep, bug reporter, and recruiter. It invests in AI-first startups spanning categories such as automated workflows, autonomy, intelligent collaboration, and scalable infrastructure, with portfolio companies including Quince, Cusp, Path Robotics, OpenArt, Entire, Tigris Data, Mem0, Vizcom, Simular, and Sakana. Basis Set also publishes original research and perspectives on topics like trucking operations, global customs, maritime transport, real estate, agriculture, and AI agent infrastructure, and runs a Basis Set AI Fellows program for individuals to work on hard problems within the firm and its portfolio companies. Its typical clients are early-stage, AI-native startup founders across a range of industries including consumer, infrastructure, robotics, and enterprise software.
Skills
About the Role
You will work alongside a team of world class product managers, engineers, designers and data scientists to drive the recommendation platform across the consumer experience, from the moment a customer lands on Quince to post-checkout and everything in between including lifecycle touchpoints. You will define the recommendations strategy, monitor KPIs, and continuously optimize performance through A/B testing while collaborating cross-functionally to deliver outstanding customer experiences.
Requirements
- Overall 8+ years of product experience with at least 4 years working closely with a data science team in the consumer space
- Masters degree in a technical or analytical discipline (or equivalent experience)
- Experience leading a recommendations or search service
- Track record of outsized impact and career growth in prior roles
- Proven ability to influence cross-functional teams without formal authority
- Demonstrated success in defining and launching excellent products
- Excellent written and verbal communication skills
- Passion to answer Product/Engineering questions with data
- Hybrid Schedule: 3 days in Palo Alto office (Mon, Thurs, Fri)
Responsibilities
- Define the recommendations strategy balancing short term needs with long term differentiation
- Define and monitor KPIs, making quick adjustments to ensure strong performance
- Build the recommendations platform enabling personalization across all storefront and lifecycle touch points
- Work cross-functionally with design, creative, data science, and engineering to prioritize and deliver outstanding customer experiences
- Oversee UAT and signoff for all recommendation models and experiences launched to production
- Plan and manage a roadmap of constant A/B testing to optimize key metrics