Product Manager

About Lindy Lindy is building the AI assistant for everyone else — not the tinkerers, not the builders, but the people who just want their day back. Lindy Assistant lives in iMessage, handles email, calendar, and meetings, and takes two minutes to set up. We're building the layer between powerful AI models and real people's lives. Our Culture Lindy’s Culture At Lindy, you can expect an environment with little process and high empowerment, paired with high expectations and a strong sense of urgency. We are an in-office company, working from our downtown San Francisco office 4+ days a week. We sponsor visas and cover relocation costs up to $20,000. The Role As our Product Manager, you will own major areas of the Lindy product end to end, from identifying what to build, through shipping, to measuring whether it worked. You’ll work directly with the founder, engineers, and designer on the team to turn ambiguous problems into shipped products. You should have a strong point of view on how to use user research, data, and fast iteration to drive results. Key Responsibilities Own the full product lifecycle for your areas: discovery, specs, prioritization, execution, launch, and iteration. Dive deep into analytics, user conversations, and session recordings to understand user behavior, uncover problems worth solving, and inform the roadmap. Build dashboards to track performance, and frameworks to guide decision‑making. Write specs and hypotheses. Ship, measure results, extract insights, and double down on what works. Partner with Engineering, Design, and GTM to build and launch features across the entire product. Who You Are 4+ years of product management experience, ideally on productivity or knowledge work products. Strong product sense: you can go from a fuzzy user problem to a clear, opinionated spec. Strong analytical skills with experience using SQL and analytics tools. Comfortable with ambiguity and moving fast. You find creative solutions with limited resources and aren't afraid to get your hands dirty. Highly organized and methodical. You keep fast‑moving initiatives on schedule while ensuring transparency with dependent stakeholders. Strong communication and writing skills. Bonus Qualifications Proven track record in high-growth startup environments. Experience at AI/ML companies or with usage‑based pricing models. Experience with B2B collaboration products or prosumer productivity tools, especially in multiplayer growth environments. Compensation and Benefits Base Salary Range $180‑220K + equity. Comprehensive health coverage. $20K relocation assistance and visa sponsorship. High autonomy and direct collaboration with leadership. Location San Francisco office (downtown) #J-18808-Ljbffr