Being a Product Manager right now means figuring out what's worth building, how to make it feel effortless to users, and how to grow a product that's already at scale. It's largely about tech and AI: you'll move fast, work closely with the data, and own your initiatives end to end: from the insight → the solution → the test that validates it.
What you will be doing
Drive business growth by identifying opportunities and transforming them into live products that add significant value to users at a consumer scale
Develop and prioritize a strategic product roadmap aligned with business objectives, with a focus on AI-powered user experiences, subscription growth, and audience expansion
Design, run, and interpret A/B experiments across AI-powered user experiences, onboarding flows, and growth surfaces - from hypothesis through statistical validity to decision
Translate advanced AI capabilities - generative models, LLMs, creative pipelines - into intuitive, high-impact UX for a mass consumer audience
Work hands-on with AI tools such as Claude Code, Cursor, and Base44 to accelerate prototyping, exploration, and execution
Lead cross-functional teams spanning engineering, design, data, and marketing to ensure exceptional and timely product execution
Make quick, informed decisions about implementation and trade-offs, balancing data signals with product intuition
Clearly articulate product vision and strategy to senior management, partners, and stakeholders
Requirements: 3-4 years in product management or a data/analytics role with demonstrated product impact - outcomes win over title.
Demonstrated track record of driving business success through product or data leadership, including measurable improvements in KPIs such as user growth, engagement, retention, and revenue.
Proven experience in B2C consumer products at a significant scale - you understand what mass audiences mean in practice: behavioral segmentation, large-scale cohort analysis, and data-driven decision-making across a broad and diverse user base.
Deep, hands-on AI literacy: strong understanding of generative AI systems, LLMs, and creative AI pipelines. Able to hold substantive technical conversations with researchers and evaluate model quality and capability.
Strong background in A/B testing and experimentation methodology, from design through analysis to action.
Experience working in mobile B2C environments.
This position is open to all candidates.