Product Manager

Summary

Yara AI is transforming the future of job searching by utilizing innovative AI technology. They are looking for a Product Manager focused on Growth & Analytics to drive product execution for growth initiatives and ensure a data-driven approach to product management.

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
• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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
• 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