Lindy is the AI employee that connects to all your tools, knows everything about your company, and does real work for the whole team. Backed by Battery, AI Grant and Menlo.
About the role
As our Sr 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.
What they're looking for
- 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
More about this role
Lindy is building an AI employee, not another tool people have to operate. It lives in your Slack, learns your business from the messages and meetings around it, and does real work across every tool your team uses. We're building the layer between powerful AI models and the work people actually do.
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.
As our Sr 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.
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...
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