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United States
Onsite
There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.
Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high-quality tasks and collaboration at scale with minimal or little prompting.
Define product roadmaps, requirements and success metrics for assigned product areas
Identify user needs and translate them into product features, workflows and specifications
Evaluate technical approaches with engineering, balancing performance, reliability, usability and development effort
Lead product development from planning and design through testing, launch and improvement
Analyse user behaviour, product performance and experiments to improve adoption, engagement and retention
Assess market opportunities, competing products and user feedback to guide product priorities
5+ years of product management experience, including shipping technology products
Strong system design knowledge and the ability to evaluate architecture, data models, integrations, reliability and performance trade-offs
Ability to challenge technical proposals, identify architectural risks and work with engineering to resolve complex product and system constraints
Experience owning complex products or workflows end-to-end, from problem definition and technical scoping through launch and production iteration
Ability to balance quality, latency, reliability, development cost and time-to-market when making product decisions
Proven track record of improving adoption, engagement, retention or business outcomes through shipped products
Strong analytical judgment and experience designing experiments, interpreting metrics and making investment decisions based on evidence
Experience with distributed systems, complex integrations
Experience with AI/ML products or LLM-based applications
Experience with workflow automation or other technically demanding products.