SoftwareEngineeringManager-OptimisationTeam

## 👉🏽 Responsibilities Build a balanced and high performing team, through recruiting from a wide range of backgrounds, experience levels, etc Grow the individual capabilities of team members through continuous professional development, training, and performance reviews Cultivate a highly collaborative environment and foster psychological safety Contribute to technical and product strategy, especially where they touch on the capabilities (or gaps) of your team Contribute to scalable and repeatable team processes and documentation (ie onboarding, performance review structures, etc.) ## 👉🏽 Requirements At least two years of engineering management experience (or equivalent experience leading and growing a team) A track record of leading Machine Learning engineers to be happy and successful, helping them do great work and grow their careers Strong communication skills, written and verbal, grounded in genuine empathy for the people around you A service-oriented mindset as this is an enablement team, so some of your success is measured by how well you help the overall product group succeed A strong technical background enabling you to participate in problem solving and design discussion at all levels of the organisation Ideally, you'll also have hands-on experience as a Machine Learning Engineer in one or more of: Optimisation models or mathematical programming Time series forecasting Building automated, data-driven decision systems Designing and executing end-to-end R&D pipelines Scaling cloud-based systems ## 👉🏽 Nice to haves Leadership experience in similar scale/trajectory businesses - Series B/C VC funded start-ups Relevant domain experience from the energy or IoT sectors (or both) Experience working close to the customer on product delivery teams ## 🎉 Benefits We’re committed to building a diverse and inclusive workplace and a great culture of people who love coming to work to build a better world. You’d be a part of a rapidly growing team of over 200 with exp