We’re quite proud of our achievements…

350M+ downloads, 65M monthly users, #1 by installs in the iOS Health category, 4.9 stars on the App Store (3M+ reviews), backed by 7 VCs, annual revenue at 9 figures, and a valuation close to $1B.

We’re a growing, Series B funded HealthTech building the essential digital health partner of tomorrow to empower women, girls, and people who menstruate with the knowledge and support they need to stay well and live better.

Our cycle, ovulation and pregnancy tracking, educational content and anonymised community platform have been trusted for years by millions to help them feel more in control of their health every day.

We’re harnessing the power of data analytics and AI to build a smarter future, one where we all know our bodies better, with an aim to become the essential health partner to women worldwide. 

 

The Job

We're a world-class team of product builders, engineers, data scientists, growth hackers, user researchers, designers, and medical experts — all building an app that generates long-term value for our millions of users worldwide. Our engineers aren’t just building a better product; they’re making the world a better place by improving access to important health information. We leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, and medically credible health tips.

We are looking for a person who understands the value of the data, treats it as a valuable resource, and has good engineering skills. You will be responsible for the scalable data pipelines, data quality, and feature engineering for our machine learning models to deliver more accurate, more personal, and more explainable solutions for women’s health issues.

We're not a service team; we're the architects of a product suite dedicated to empowering every corner of our organization with actionable insights. Our expertise in Data Engineering and Data Quality isn't just a badge of honor; it's the cornerstone upon which our company's analytics and data pipelines stand tall.

What you’ll be doing:

  • Play a role in shaping strategies for Big Data Solutions and advancing our Data Platform Product.
  • Design tools and components for data users.
  • Engineer scalable and reliable data pipelines.
  • Design and engineer data quality.
  • Work as a part of a cross-functional team with backend and machine learning engineers.
  • Put attention to detail and keep a watchful eye on production processes.

What we’re looking for:
Must have:

  • 8+ years of prior experience in an Engineering role. 
  • Strong programming skills in Scala or Python.
  • Proven experience with Data Platforms (Data Lake/LakeHouse).
  • Expert knowledge of Spark.
  • A deep understanding of data warehousing and ETL/ELT concepts
  • Experience cloud data stacks

Nice to have:

  • Experience with AWS & Databricks
  • Experience with data modeling
  • Experience with data quality frameworks
  • Experience with production Machine Learning systems

Ranges may vary depending on your skills, competencies and experience.

Reward

People perform better when they’re happy, paid well, looked after and supported. 

On top of competitive salaries, Flo's employees have access to:

  • A flexible working environment with the opportunity to come into the office and work from home
  • Company equity grants through Flo’s Employee Share Option Plan (ESOP)
  • Paid holiday and sick leave 
  • Fully paid female health and sick leave, in addition to holiday and regular sick leave
  • Workations - an opportunity to work abroad for two months a year
  • Six months paid maternity leave, and one months paid paternity leave (subject to qualifying conditions) inclusive of same-sex and adoptive parents
  • Career growth, progression, and learning development resources
  • Annual salary reviews
  • Unlimited free premium Flo subscriptions
  • A whole host of other benefits (health/pension/social schemes)

 

Our Culture

We’re problem solvers, we’re adaptable, we’re empathy driven and results led. 

People here like working in a fast-paced, multi-national, multi-cultural and ever changing environment. Everyone has an impact on a powerful mission, and is happy to roll their sleeves up to ideate solutions and put them in place. Being part of a  growing business means that sometimes it's not easy and we work hard, but our mission is always at the forefront of what we do. 

Diversity, Equity and Inclusion

The strength of our workforce is in the diverse backgrounds of our employees, and Flo is committed to applying its equal opportunities policy at all stages of recruitment and selection. This means recruitment and selection of talent into Flo Health companies is only based on individual merit and qualifications directly related to professional competence. Shortlisting, interviewing, and selection will always be carried out without regard to gender identity or expression, sexual orientation, marital or civil partnership status, color, race, nationality, ethnic or national origins, religion or beliefs, ancestry, age, veteran status, mental or physical disability, medical condition, pregnancy or maternity status, trade union membership, or any other protected characteristics.

By applying for the above role, you confirm that you have reviewed our privacy notice for job applicants: https://flo.health/privacy-policy-for-job-applicants 

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