Engineering Manager - Ops Scaling

We are redefining how people approach their health
This health tech start up is combining scientific research at a scale never before imagined and cutting-edge AI to improve the health of millions.  Created by the world’s top scientists, our personalised nutrition program is radically reimagining a fundamental human need – eating well for your own body. Currently available in the US and the UK, having generated a waitlist of over 300,000, it's already helping tens of thousands of members adopt healthier habits and achieve their goals. They are also the team behind the popular COVID Symptom Study, which played a critical role in the fight against COVID in the UK and has now expanded to become a health study. The health study uses the power of community science to conduct large-scale research from the comfort of contributors’ homes to understand health and prevent disease. Our collective work and expertise in biology, engineering, data science, and nutrition science has led to multiple breakthrough papers in leading scientific journals such as Nature Medicine, Science, The Lancet, and more. A remote-first, well-funded startup, we are backed by founders, investors, and entrepreneurs who have built multi-billion dollar technology companies. We are always looking for innovative thinkers and doers to join our team on a thrilling mission to tackle epic health problems that span the globe. Together, we can improve human health and touch millions of lives. We value inclusivity, transparency, ownership, open-mindedness and diversity. We are passionate about delivering great results and learning in the open. We want our teams to have the freedom to make long-term, high-impact decisions, and the well-being of our teammates and the people around us is a top priority.
About the team…The Ops Scaling team is integral to the growth of our product and success. We build software to automate interaction with our partners and maximise the efficiency of our Engineering, Operations and Support functions. We handle the logistics aspects of the physical parts of our products (logistics, shipping, returns, inventory management, exception management) including third party integrations, as well as enabling our Support team to work more effectively with the help of AI and automation. Our unique challenge: build distributed systems that integrate with all our partners into a cohesive ecosystem that scales across countries.
About the roleWe are looking for someone to lead our team and encourage sustainable delivery at pace. You will partner with engineers, product managers and product designers to deliver great customer impact and make it a great place to work.

You'll be

• Leading a team of engineers that focuses on outcomes over output
• Coaching, mentoring and developing high-performing engineers
• Ensuring high psychological safety
• Partnering with product to establish the teams roadmap and achieve sustainable throughput
• Releasing small changes regularly to get fast feedback from our users
• Spending a large amount of your time deep in the code, leading by example on code and testing best practices
• Challenging the team on system design, scope and sequencing to deliver faster while decreasing technical debt
• Collaborating daily with other teams
• Thinking longer term and being proactive when solving challenges
• Contributing to the evolution of our architecture, tools and processes
• Partnering with other engineering managers on cross cutting initiatives like hiring and onboarding

We think you'll be a great fit if you

• Have a great reputation of  leading a distributed full-stack team, in a fast paced environment.
• Have experience working with Support teams, and understand best practices for handling Support at scale.
• Are someone who takes ownership and is comfortable with ambiguity. You provide clarity and make things happen
• Have experience with paired programming
• Data-driven. You challenge everyone to measure impact and demonstrate added value
• Great communication skills. Both verbal and in writing

We will also appreciate

• An incredible growth mindset. You read books, watch talks, listen to podcasts and are never afraid to try new things
• Experience building mobile apps
• Experience deploying machine learning in production
• Experience with scalability (backend, data pipelines)

The interview process

• Intro with a Talent Partner (30 mins).
• Intro with our VP of Engineering or Senior Engineering Manager (30mins).
• Technical Interview & Systems Design (90 mins). As part of this stage, we will ask you to teach us something technical asynchronously (text or video) to assess your ability