RevenueCat Logo

RevenueCat

Senior Product Manager, Analytics & Experiments

Posted 16 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Lead product strategy for Analytics and Experiments, owning roadmaps for charts, benchmarking, dashboards, predictive LTV, and experimentation infrastructure. Partner with engineering and data teams to design, ship, and iterate on metrics, A/B tests, targeting, rollout, and insights to help developers grow revenue.
The summary above was generated by AI

RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly shipped subscription apps, we process $12B+ in annual purchase volume, and we help everyone from a solo dev in Brazil to the OpenAI mobile team understand and grow their revenue.

We’re a remote‑first crew of 150+, spread across 25+ countries, and guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. If you want your work to touch hundreds of millions of end‑users (and help the developers behind them get paid), you’ll fit right in.

About the Role

We're looking for a Senior Product Manager to lead product strategy for our Analytics and Experiments products.

We need a producty-engineer or an engineering-y product person to set lead the product vision in a highly technical and analytics-heavy domain.

RevenueCat is the monetization engine for 40% of the new subscription apps shipped and the number of apps shipped is growing exponentially. We are uniquely position not only to give individual developer impactful information into the performance of their own apps, but also deliver truly unique data and insight given our position in the market; we know what good looks like, and we can not only put numbers in context, but give specific recommendations on metrics to target, experiments to run and anomalies to investigate.

We can, and should, be opinionated about what RevenueCat’s developers should try next to help them make more money. We’re building the “Make More Money Machine”. This role in Analytics & Experiments, is the engine that powers that machine.

You will oversee all of the Analytics products at RevenueCat - our charts, benchmarking, dashboard, and predictive LTV - and our experiments infrastructure, including custom targeting, A/B testing, rollout management, and experiment design (onboarding, landing pages, pricing, targeting etc).

You'll partner directly with leadership, collaborate across engineering and data teams, and act as the primary driver for how our customers understand and grow their revenue.

About You

Skills & Experience

  • 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.

Values and Abilities

  • 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.

What You'll Do
  • 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.

What we offer:
  • 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

Curious about the interview process? Discover more in our blog post about how we hire and learn tips to help you succeed.

Similar Jobs

6 Hours Ago
Remote or Hybrid
Mid level
Mid level
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
The Client Legal Administrator manages corporate governance, compliance, and board meeting processes, ensuring accurate records and communication with stakeholders.
Top Skills: Document Management SystemsExcelMicrosoft Office (WordOutlook)
6 Hours Ago
Remote or Hybrid
Junior
Junior
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead end-to-end recruitment for Experienced Hires across Greece and Central Europe. Partner with hiring managers to define requirements, source and assess candidates, manage candidate experience, build talent pools, and drive continuous improvement with TA leads and coordinators.
Top Skills: ExcelMS OfficePhenomWorkday
6 Hours Ago
Remote
2 Locations
244K-244K Annually
Expert/Leader
244K-244K Annually
Expert/Leader
Information Technology
As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.
Top Skills: BigQueryClickhouseDruidMlNlpPythonRedshiftSQL

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account