We’re very proud of our achievements:
In July, we secured a $200M investment led by General Atlantic to help revolutionise women’s health, and became the first purely digital consumer women’s health app to achieve unicorn status! 🦄
We’ve had 380M+ downloads, have almost 70M monthly users, are #1 by installs in the iOS Health category, hit 4.9 stars on the App Store (3M+ reviews), are backed by 9 VCs, had a 40% revenue increase last year, and topped a valuation of $1B.
We’re a growing, ambitious HealthTech business 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.
Now, 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:
What we’re looking for:
Must have:
Nice to have:
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:
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
Last updated on Aug 19, 2024
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