Note: The job is a remote job and is open to candidates in USA. Yara AI is building a modern work-finding platform that connects candidates with companies across AI, developer tools, consumer, fintech, and health tech. A company in the Yara Network is seeking a Product Manager, Growth & Analytics to own growth product execution, run experiments, build dashboards, analyze user behavior, and drive data-informed product decisions.
Responsibilities
- Own the product process for growth. Specs, user stories, success criteria, experiment tracking: you keep it tight so engineering isn't guessing at scope and leadership isn't guessing at outcomes
- Run experiments end-to-end. Hypothesis, spec, instrumentation, launch, results. You close the loop every time
- Build and maintain the dashboards leadership relies on. Activation, retention, conversion, engagement: the numbers the team checks every week come from you
- Investigate when metrics move. When activation drops or retention shifts, you're the person who figures out why and what to do about it
- Work with engineering and support to validate problems and confirm whether what we shipped actually worked
- Keep product documentation current. Feature specs, release notes, internal reference docs: the stuff that keeps a distributed team aligned
Skills
- • Have four to six years in product management, growth, or a closely related role where you owned product execution
- • Have strong SQL skills (CTEs, window functions, cohort analysis, funnel queries). This is a hard requirement, not a nice-to-have
- • Have experience with a cloud data warehouse and can build dashboards and recurring queries
- • Can write a spec that engineering builds against and a data summary that leadership makes decisions with
- • Have run experiments and know the difference between shipping a feature and learning something
- • Have experience with experiment design and A/B testing frameworks
- • Have worked on a messaging, social, or consumer product
- • Are familiar with subscription or freemium business models
- • Understand basic statistical methods enough to know when a result is meaningful and when you're fooling yourself with correlation
- • Are comfortable working with imperfect data when instrumentation isn't clean
- • This is a mid-level IC role with high-ownership expectations: the leadership team will rely on your work to know whether our strategy is working
- • Bonus points if you've worked on a distributed team or at a startup where you had to be scrappy and self-directed
- • For this role, overlap with North American time zones (Eastern preferred) is important, so you can work closely with the leadership team
Benefits
- Access to Yara to list your work, browse millions of roles, manage your job search, and stay in the network for future opportunities
- Distributed-team work arrangement
Company Overview