At a Glance
- Tasks: Lead Flo's predictive growth platform across iOS, Android, and Web, driving impactful decisions.
- Company: Join a mission-driven team at Flo, focused on health and wellness innovation.
- Benefits: Enjoy competitive salary, performance incentives, generous leave, and professional growth opportunities.
- Other info: Collaborative environment with a focus on diversity, equity, and inclusion.
- Why this job: Make a real impact in a high-leverage role with cutting-edge technology and data science.
- Qualifications: Experience in machine learning products and strong analytical skills required.
The predicted salary is between 92000 - 115000 € per year.
The job involves owning Flo's predicted Lifetime Value (pLTV) platform across iOS, Android, and Web. pLTV is integral to user acquisition bidding, budget allocation, creative-testing prioritisation, finance forecasting, and roadmap decisions across the organisation. You will work with a team of data scientists, machine learning engineers, and data engineers running Flo's production pLTV models for both short-horizon and long-horizon predictions. Your responsibilities include driving accuracy improvements, expanding signal coverage, and extending pLTV's reach into new decision domains.
Your experience should include:
- Proven experience owning machine-learning or data-driven products in production.
- Strong fit for current Product Managers; also open to Engineering Managers, ML Engineers, or tech leads ready to transition into a PM role.
- Hands-on delivery instincts, comfortable in Jira and strategic planning.
- Partnership with data science and machine-learning engineering teams.
- Strong analytical fluency, including SQL proficiency.
- Ability to influence senior cross-functional stakeholders.
- Comfortable in fast-paced, ambiguous environments.
Nice to have:
- Working knowledge of mobile and web user acquisition.
- Hands-on experience with mobile attribution platforms and modern measurement frameworks.
- Exposure to Marketing Mix Modeling and causal inference techniques.
- Familiarity with feature stores and modern MLOps tooling.
- Background in subscription-app, health & wellness, or femtech domains.
What you'll be doing includes:
- Owning Flo's pLTV product roadmap across platforms.
- Partnering with data scientists and engineers on feature strategy.
- Operating rigorous release discipline.
- Investigating model quality issues with data scientists and analysts.
- Scaling Flo's agentic ML experimentation system.
- Acting as the primary product partner to User Acquisition leadership.
- Reporting model performance and strategic recommendations.
- Contributing to Flo's next-generation measurement stack.
Annual Salary Range: £92,000 - £115,000 GBP (ranges may vary based on skills and experience).
We’re a mission-led, product-driven team that values ownership, debate, and craft. You’ll be working with committed individuals who strive for better health outcomes.
What you’ll get includes:
- Competitive salary and annual reviews.
- Opportunity to participate in Flo’s performance incentive scheme.
- Paid holiday, sick leave, and female health leave.
- Enhanced parental leave and pay.
- Accelerated professional growth through world-changing work.
- In-person collaboration in a hybrid model.
- 5-week fully paid sabbatical at 5-year Floversary.
- Flo Premium for friends & family, plus more health, pension and wellbeing perks.
Our strength is in our differences. At Flo, hiring is based on merit, skill, and what you bring to the role. We’re proud to be an equal opportunity employer.
Senior Product Manager — Predictive Growth (pLTV) employer: Flo Health Inc.
Flo is an exceptional employer that fosters a mission-driven, product-focused culture where innovation and collaboration thrive. With competitive salaries, generous leave policies, and a commitment to professional growth, employees are empowered to make meaningful contributions while enjoying a supportive work environment. The hybrid work model and emphasis on diversity and inclusion further enhance the experience, making Flo a standout choice for those seeking impactful careers in health and wellness technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager — Predictive Growth (pLTV)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at Flo. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for the interview by knowing your stuff. Dive deep into pLTV, machine learning, and how they impact growth. Show us you’re not just a candidate, but a future team member!
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help you nail down your delivery and boost your confidence. We want to see the real you shine through!
✨Tip Number 4
Don’t forget to follow up! A quick thank-you note after your interview shows your enthusiasm and keeps you on our radar. Plus, it’s just good manners!
We think you need these skills to ace Senior Product Manager — Predictive Growth (pLTV)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Product Manager role. Highlight your experience with predictive models and data-driven products, as this is key for us at Flo.
Showcase Your Hands-On Experience:We love candidates who can demonstrate their hands-on delivery instincts. Share specific examples of how you've worked in Jira, defined epics, or collaborated with cross-functional teams to drive product success.
Highlight Analytical Skills:Since this role requires strong analytical fluency, don’t forget to mention your SQL proficiency and any experience you have interpreting model evaluation metrics. We want to see how you interrogate performance at various levels!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Flo!
How to prepare for a job interview at Flo Health Inc.
✨Know Your pLTV Inside Out
Before the interview, make sure you understand the ins and outs of predicted Lifetime Value (pLTV). Be ready to discuss how it impacts user acquisition, budget allocation, and creative testing. Familiarise yourself with the latest trends in predictive modelling and be prepared to share your insights on how you can drive accuracy improvements.
✨Showcase Your Hands-On Experience
This role requires a hands-on approach, so come prepared to discuss specific projects where you've owned machine-learning or data-driven products. Highlight your experience with tools like Jira for writing specs and refining backlogs, and be ready to explain how you've partnered with data scientists and engineers in past roles.
✨Demonstrate Analytical Fluency
Brush up on your SQL skills and be ready to interpret model evaluation metrics. During the interview, showcase your ability to interrogate performance at various levels, such as segment and cohort analysis. This will demonstrate your analytical fluency and your capability to translate technical details into actionable business decisions.
✨Prepare for Cross-Functional Collaboration
As this role involves influencing senior stakeholders across multiple departments, prepare examples of how you've successfully collaborated with marketing, finance, and engineering teams. Be ready to discuss how you’ve translated complex model behaviours into commercial decisions, showcasing your communication skills and strategic thinking.
