RevenueCat

Senior Product Manager, Analytics & Experiments

Rol remoto de Product Management con fit claro de ubicación del candidato.

Publicado9 abr 2026

Países elegibles86 países aceptados

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Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

AlbaniaArgeliaArgentinaAustriaBahamasBaréin+80 más

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Las ubicaciones aceptadas para candidatos están listadas (86).

Actualidad de la fuente9 abr 2026

Fit de ubicación86 países aceptados

Match de stackSQL

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Aplicando aSenior Product Manager, Analytics & ExperimentsRevenueCat

Fit de país86 países aceptados

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You have 5+ years of product management or technical product engineering experience or analytics experience, with meaningful time shipping complex products.
You’re analytical. You can’t do your job without data platform access. You are highly proficient in SQL (or similar tools); whatever tool you need to know, you’ll learn. You love getting deep on the data analysis on your own. You’re experienced in developing robust and scalable metrics.
You are technical. Coding is not a core requirement for this role, being able to prototype with code is (using your preferred AI stack). You can deeply understand how RevenueCat works; what is simple and what is complex within our domain. Maybe you haven’t built and shipped a mobile app yourself (yet) but you have enough knowledge to work closely and independently with highly technical folks. You can discuss APIs, data models, and risk logic with engineering partners and enjoy diving into system details
You’re an excellent communicator. You can express complex ideas clearly and succinctly; written and verbal, synchronous and asynchronous, across timezones and mediums. You can get your point across.

You act like an owner. You roll up your sleeves, dive into the logs, and get something done yourself.
You thrive in ambiguity. You are comfortable making low-information, high-stakes decisions. You can quickly get to confidence, move on, and iterate.
You're a systems thinker. You can step back from a specific customer request and see the broader system. You build things that scale.
You're deep on the details. You care about what users experience, not just what the data says.
You know when it's good enough. You are obsessed with getting things right, but you know when you're at diminishing returns. You have a bias toward shipping. You love building and are energized by discovery, experimentation, and rapid iteration.
You’re passionate about great data visualization. Chart sins grind your gears. Your visualizations deliver meaningful insights. You care what is says, and what it looks like, and you know those things are dependent on each other.

Own the product strategy and roadmap for RevenueCat's Analytics and Experiments products.
Be obsessed with your customers. You will triage and investigate complex data and analytics problems deeply, instead of fully delegating to engineering. Dig deep to understand what developers really want; distill signal from noise and good ideas from bad ones. Dig deep into what the growth team really want - the challenges they face - designing and running great experiments, understanding results, and implementing insights.
Recommend, develop and maintain new benchmarks and metrics that deliver value to our developers, and help them make more money. Be the go-to person when a number looks off.
Set the vision. Create a plan that is cohesive, intentional, and impactful. Break that down into meaningful chunks on a reasonable timeline.
Get it done. Collaborate closely with engineering, data science, and GTM teams to bring robust analytics and experimentation tools to market. This is a cross-functional effort across almost of RevenueCat’s most critical user-facing products: Funnels, Paywalls, Experiments and more. This job can not be done alone, and will require deep understanding of the individual products and the infrastructure that hooks them together.

Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
10-year window to exercise vested equity options
Fully remote and flexible work environment
4-5 weeks of suggested time off annually for mental, physical, and emotional recharge
$2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning

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