Senior Product Manager — Predictive Growth (pLTV)

TL;DR

Senior Product Manager — Predictive Growth (pLTV): Own Flo's predicted Lifetime Value (pLTV) platform across iOS, Android, and Web with an accent on accuracy improvements, expanding signal coverage, and extending pLTV into new decision domains. Focus on partnering with data scientists and ML engineers on feature strategy, rigorous release discipline, investigating model issues, and scaling agentic experimentation systems.

Location: Hybrid model with 3 days per week spent in the office

Salary: £92,000 - £115,000 GBP

Company

World’s #1 health & fitness app with 500M+ downloads, 80M+ monthly users, and 7M paid subscribers building AI-powered, privacy-first digital health solutions.

What you will do

• Own pLTV product roadmap end-to-end driving accuracy improvements, feature coverage expansion, prediction horizons, and integration into creative testing, product roadmap, pricing, and hypothesis validation.
• Partner with data scientists and engineers on feature strategy ensuring reliable production availability.
• Operate release discipline including gated rollouts, shadow-mode evaluation, drift detection, automated retraining, and post-launch calibration.
• Investigate model quality issues like country-level miscalibration, cohort drift, and signal anomalies feeding findings into iterations.
• Scale agentic ML experimentation system to thousands of model runs compounding quality gains.
• Act as product partner to User Acquisition translating model behavior into bidding decisions and aligning attribution strategies.
• Report performance and recommendations in leadership reviews and contribute to Marketing Mix Modeling and incrementality testing.

Requirements

• Proven experience owning machine-learning or data-driven products in production like predictive scoring, propensity, ranking, or forecasting.
• Hands-on delivery in Jira writing specs, defining epics, refining backlogs, unblocking team, plus strategic planning and stakeholder management.
• Partnership with data science and ML engineering on model evaluation, retraining, features, and releases.
• Strong analytical fluency with SQL, model metrics interpretation, and segment/cohort/campaign performance analysis.
• Ability to influence senior stakeholders across marketing, finance, analytics, and engineering translating technical details to commercial decisions.
• Comfort in fast-paced ambiguous environments balancing platform investments and experimentation.

Nice to have

• Knowledge of mobile/web user acquisition, bidding, attribution, campaign optimization, SKAN/ATT, Privacy Sandbox.
• Experience with AppsFlyer, Adjust, Branch, Firebase, SKAdNetwork, GA4.
• Marketing Mix Modeling, incrementality testing, causal inference.
• Familiarity with feature stores like Databricks, Tecton, Feast and MLOps tooling.
• Subscription-app, health & wellness, or femtech background.
• Agentic AI or LLM workflows for ML experimentation.

Culture & Benefits

• Mission-led, product-driven team that moves fast, takes ownership, encourages debate, and ships with purpose.
• Competitive salary, performance incentives, annual reviews.
• Paid holiday, sick leave, female health leave, enhanced parental leave.
• Professional growth support, learning resources, 5-week sabbatical at 5 years.
• Flo Premium for friends & family, health, pension, wellbeing perks.
• In-person collaboration in hybrid model.