Formula Logo

Formula

Growth Product Manager (Monetization)

Posted 11 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Greece
Mid level
Remote
Hiring Remotely in Greece
Mid level
Own end-to-end monetization for a subscription mobile app: set pricing, design paywalls, run price elasticity and offer experiments, analyze LTV/CAC and funnel metrics, collaborate with designers and engineers, and optimize refunds, cancellations, and upgrade flows to improve unit economics and long-term value.
The summary above was generated by AI
TL;DR

We're building products that help people live longer, healthier lives. We need a PM who thinks in unit economics first—not someone optimizing conversion rate at any cost, but someone who understands how pricing, paywalls, upsells, and refund logic affect long-term value. You'll own the entire monetization strategy end-to-end: pricing models, paywall design, upgrade funnels, cancellation logic, and everything in between. You'll work autonomously with a tight team, move fast, and think deeply about how to make our users want to stay and pay more.
Disclaimer: Please note, that if you don't have direct experience in subscription-based mobile apps or you are not experienced in in-app monetization flows – we will not be able to proceed with your application.

What we are looking for
  • Unit economics as your first language. You think about pricing and monetization through the lens of LTV, CAC, and how changes ripple through the business. You understand that you can raise conversion "at any cost"—literally—but it might destroy your unit economics. You know the difference and you care about the right metric.

  • Real experience designing and testing pricing. Price elasticity tests, paywall variations, tiering strategies, upgrade funnels—you've shipped real experiments in monetization. You know how to test pricing in a constrained data environment and draw valid conclusions.

  • Comfort with the math and the ambiguity. You can calculate sample sizes, understand LTV modeling (even synthetic LTV), and work when perfect statistical significance isn't possible. You're analytical but pragmatic—not a purist.

  • Experience collaborating on monetization specifics. You understand payment flows, refund policies, dispute/chargeback dynamics, offer sequencing, and how to think about margins. You've navigated the messy reality of subscription economics.

  • Full-funnel monetization perspective. You think about the whole journey: landing page paywall, initial purchase, upsells in-app, retention, cancellations, refunds. You're not just optimizing the first payment—you're optimizing lifetime value.

What you'll do

Own monetization strategy and execution. You'll take full responsibility for our pricing, paywall, upsells, and retention economics. You'll set priorities, run experiments, and drive results.

  • Design and run price elasticity tests, paywall variations, and offer experiments. Test pricing tiers, bundle configurations, timing of upsells—everything that affects revenue and unit economics.

  • Analyze the monetization funnel: identify friction points (refunds, cancellations, low conversion), form hypotheses, and test solutions. Use Amplitude, BI dashboards, or spreadsheets to find your own insights (conversion-to-purchase, ARPU, LTV, refund rate, cancellation rate).

  • Work closely with developers and designers to ship paywall changes, pricing logic updates, and upsell flows. You'll translate business ideas into product specs and move things to production.

  • Think strategically about refund policy, dispute management, and how operational decisions impact both unit economics and customer trust.

  • Dig into user behavior: understand which cohorts convert, which ones churn early, what correlates with long-term value. Use data and user feedback to inform strategy.

You'll be a PM who thinks like an economist and moves like an operator.

You may be a good fit if
  • You bring a proven track record in web2app funnels for subscription-based mobile apps or experienced in in-app monetization flows

  • You've run real pricing or monetization experiments—and you think about them in terms of unit economics, not just conversion bumps.

  • You understand how landing page conversion, paywall design, pricing, and post-purchase retention all fit together into a cohesive system.

  • You've worked in a fast, scrappy environment where you do your own analysis, ask for help when needed, and don't wait for permission.

  • You're genuinely curious about business mechanics—how subscription services work, why people churn, what makes pricing work.

  • You're leaving a big company because long cycles frustrated you, or you've been in a startup and loved the speed. Either way, you're hungry for ownership and impact.

  • You're ambitious and want to grow into strategy and leadership roles eventually.

How we hire
  1. Fill in a short form then jump on an initial exploratory call (up to 60 min)

  2. Meet our Hiring Manager – Head of Product Growth (60 min)

  3. We'll send you a take-home asking to present your best work based on our case study

  4. Join us for a case study session with the Hiring Manager (60 min)

  5. Meet of Co-founder (50 min)

  6. Get an offer

What We Offer
  1. Inspiring Mission: Help users live longer, healthier lives through innovative products.

  2. Impact: Directly influence company growth with minimal bureaucracy.

  3. Attractive Compensation: Competitive salary and comprehensive benefits package.

  4. Work-Life Balance: Flexible working hours.

  5. Professional Development: Tuition reimbursement.

  6. Remote Work: Fully remote, with a preference for candidates within ±2 hours of CET.

  7. Benefits: Health insurance, gym membership reimbursement, home office support.

Similar Jobs

5 Hours Ago
Remote
Senior level
Senior level
Artificial Intelligence • Productivity • Software • Automation
Lead Okta administration and SSO, build automations with Okta Workflows and Zapier, optimize SaaS spend and licensing, automate provisioning/deprovisioning via APIs, support and improve the macOS employee experience, triage IT issues, and manage SaaS tooling and reporting across the organization.
Top Skills: 1PasswordAPIsGoogle WorkspaceJIRAmacOSOktaOkta WorkflowsSlackSsoZapierZoom
22 Hours Ago
Remote or Hybrid
Junior
Junior
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The CI Engineer will focus on loss intelligence and prevention, facilitate improvements in manufacturing through lean methods, and coach teams in performance analysis.
Top Skills: ExcelFi ToolsLean ManufacturingPdcaRcaSmed
22 Hours Ago
In-Office or Remote
2 Locations
150K-250K Annually
Mid level
150K-250K Annually
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.
Top Skills: Distributed ComputingLarge Language ModelsPythonPyTorchTransformer Architectures

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account