Engineering Manager - Data Science Team
Posted on November 10, 2025 (about 2 hours ago)
About Flo
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, Flo became the first product of its kind to reach a $1B valuation in 2024, continuing to accelerate its impact on female health.
Flo has over 500M downloads, 77M+ monthly users, and 6M paid subscribers with the highest-rated experience in the App Store's health category. The team is building the next generation of digital health, leveraging AI-powered, privacy-first, and clinically backed solutions to help users understand their bodies better.
The Job
Flo is hiring an Engineering Manager to lead the Data Science Team in London. The role focuses on building and leading the Predictive Growth Optimization team, pioneering machine learning models that power user acquisition strategies, predict lifetime value, and optimize an annual marketing spend of $25M across various channels.
This is a hands-on management role responsible for the strategy, development, and continuous improvement of Flo's predictive lifetime value (pLTV) system, a core model used across user acquisition, AdTech, personalization, and financial forecasting systems.
Responsibilities
- Lead and develop a team of 4+ ML and Backend engineers, including hiring, mentoring, and setting technical direction.
- Own the pLTV strategy by architecting and evolving core predictive lifetime value models that inform millions in user acquisition decisions.
- Build production ML systems, including Marketing Mix Models (MMM) algorithms and real-time forecasting models handling millions of daily predictions.
- Drive cross-functional impact by partnering with Growth, Product, and Finance teams to translate business problems into ML solutions.
- Shape technical architecture by guiding MLOps infrastructure, monitoring, and rapid iteration cycles.
- Stay hands-on in technical leadership, contributing to modeling, architecture decisions, and technical problem-solving as needed.
Qualifications
Technical Leadership:
- 7+ years of applied machine learning experience with production model deployment.
- 4+ years of experience managing technical teams such as ML engineers and data scientists.
- Expert knowledge in ML fundamentals including supervised/unsupervised learning, time series, and causal inference.
- Experience with modern ML frameworks such as PyTorch, TensorFlow, scikit-learn, and CatBoost.
Growth & Product Experience:
- Experience in growth analytics, attribution modeling, and marketing effectiveness.
- Understanding user acquisition funnels and retention optimization.
- Ability to translate business requirements into technical roadmaps.
- Strong communication skills for explaining complex models to executive stakeholders.
Production ML Systems:
- Experience deploying ML models at scale with millions of predictions per day.
- Knowledge of MLOps practices including model versioning, monitoring, and automated retraining.
- Understanding of data engineering fundamentals and cloud platforms.
Nice to Have
- Experience with Marketing Mix Modeling, attribution, or ad tech.
- Background in consumer tech, mobile apps, or health tech.
- Knowledge of privacy-preserving ML techniques and A/B testing methodology.
Work Culture and Benefits
The team is mission-led and product-driven, moving fast with ownership from start to impact, encouraging debate, shared decision-making, craftsmanship, and high standards.
The work environment is committed, resilient, and focused on better health outcomes.
- 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 for maternity, paternity, same-sex, and adoptive parents.
- Accelerated professional growth through impactful work and learning support.
- Flexible office and home working, including up to 2 months abroad per year.
- 5-week fully paid sabbatical at 5-year work anniversary.
- Flo Premium for friends & family plus additional health, pension, and wellbeing perks.
Diversity and Inclusion
Flo values diversity, equity, and inclusion, hiring based on merit and skills regardless of background, community, or identity. They are proud to be an equal opportunity employer.
How to Apply
To apply for the Engineering Manager - Data Science Team role at Flo, please visit the job posting on Greenhouse at https://job-boards.greenhouse.io/flohealth/jobs/6327429003?gh_jid=6327429003 and submit your application through the provided application form.
The application requires submitting personal details, resume/CV, cover letter, LinkedIn profile, and confirmation of eligibility to work in the UK.
The team is located in London, and candidates should be willing to travel to the office twice a week as per the job requirements.
Flo emphasizes review of their privacy notice for job applicants and consent to be contacted about job opportunities for up to three years.