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A leading technology company in the United States is seeking a highly analytical Growth Product Manager to enhance its product-led growth engine. This role requires a proven track record in growth and product management within PLG SaaS or consumer tech environments. You will leverage analytics to refine user experiences, define success metrics, and drive features that increase activation and retention. Collaboration with marketing and engineering teams is essential for success in this role.
What we are looking for
Atria is seeking a highly analytical and results-oriented Growth Product Manager to architect our product-led growth (PLG) engine. This is a critical zero-to-one role where you will be responsible for turning first-time users into power-users and paying champions by leveraging data-driven strategies and building impactful growth features. We are looking for someone with a proven track record in growth, product, or founder-like roles at a PLG SaaS or consumer tech company, who loves problem-solving, moves fast with high agency, and can drive measurable lift in SaaS metrics.
What you will do
As our first dedicated Growth PM, you will:
Leverage product and behavioral analytics to continuously refine the new-user experience (NUX), onboarding flows, and activation milestones.
Define success metrics for each funnel stage and iterate based on quantitative and qualitative insights.
Own the end-to-end delivery of product features that drive activation, retention, and organic network effects.
Conduct cohort analyses, segmentation studies, and drop-off investigations to surface friction points and high-leverage growth levers.
Translate qualitative feedback (surveys, session recordings) into actionable product improvements.
Partner with Engineering and Design to scope and ship growth experiments with rigorous tracking.
Align with Marketing on landing page copy, paid acquisition tests, and email nurture campaigns.
Work with Customer Success to identify power-user behaviors and referral opportunities.
Rank growth opportunities by potential impact vs. effort, balancing short-term lift experiments with longer-term platform enhancements.