tem - Data Science Manager
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Requirements
• Proven experience managing ML engineers or scientists (not just software engineers) at varying ranges of experience (Junior to Staff), with enough understanding of the ML lifecycle and core disciplines including forecasting, optimisation, pricing, and classical ML to manage credibly • A strong people development track record: 1:1s and performance conversations that actually move people forward, action underperformance, clear progression frameworks, and coaching that builds capability across engineers at different career stages • Experience building and owning team operating systems: the prioritisation frameworks, sprint cadences, incident review processes, and feedback loops that make a technically complex team perform consistently. • A strong hiring instinct for ML roles: you have defined the bar, built pipelines in a competitive market, and brought in strong people who had other options • Experience managing a technically diverse team: comfortable holding substantive conversations across different ML problem types and helping a multi-disciplinary team prioritise and operate without being the expert in any single domain • Experience in a startup or high-growth environment: comfortable with ambiguity, able to operate effectively when not everything is figured out, and ready to do more than a textbook people-manager role at a larger organisation would require • Background in energy, fintech, or another domain where ML is mission-critical • Experience building or evolving a career framework or skills matrix from scratch • Familiarity with the intersection of ML and software engineering, and how to facilitate effective collaboration between the two • You have hired top ML talent in a competitive market and know how to attract people who have options
Responsibilities
• Build a high-performing ML team: Lead hiring, onboarding, performance management, and career development. Set the frameworks, operating rhythms, and succession plans that give ML engineers clarity, support, and room to grow. You are the person who makes sure the team is getting the leadership attention it needs. • Own the team's operating systems: Build and maintain the rituals and structures that keep the team effective: sprint cadences, incident review, model monitoring feedback loops, cross-team reporting, and the prioritisation processes that keep the team focused on what matters. • Enable technical excellence without owning it: Act as a sounding board for ML engineers on questions and blockers. Ask the right questions, help surface risks, and create space for the experts to make good decisions, without adding another review layer or positioning yourself as a technical authority. • Drive collaboration with the Rosso Engineering Manager: Partner closely to align priorities between the ML and software engineering teams within the service. The two teams need to work together effectively, and you are a key part of making that happen. • Represent the team and champion tem's culture: Communicate progress, risks, and priorities clearly to the broader organisation. Lead with intention in a fully remote environment, champion what excellent remote work looks like, and represent tem in the ML community when recruiting and engaging externally.
Benefits
• We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level. • Stock Options - everyone on the team has ownership in our mission. • 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday 🎉. • Remote & flexible working - We're fully remote, distributed across Europe with clear core hours, and no internal meetings on Friday afternoons. • Home working & wellbeing budgets: • Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.). • Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. • 🗣️ Interview Process: • Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. • 1. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. • 2. Behaviour Interview with our Head of Data (45 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. • 3. Skills Interview with the Team (75 mins). You'll meet with potential peers in this session and will discuss how you lead and manage high performing teams, and discuss a range of scenarios. • 4. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem.
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