Mentimeter - Engineering Director
Requirements
• You were an excellent engineer before you were a leader: deep fluency in code, systems, and your domain, now extended into how AI changes all three. That foundation carried you into leading teams, and then into leading the leaders of teams. • Five or more years of engineering leadership at scale: you have led Engineering Managers and senior staff across an organization of 50+ engineers, with a track record of growing them and the business. • Experience owning engineering across multiple teams in a product company, ideally at Area or department level. • A habit of turning strategy into team scope, priorities, and measurable outcomes. • Experience allocating capacity and making investment trade-offs across teams, not only within one. • Strong product instincts: you work from user and business outcomes, not delivery tasks. • A track record of owning technical direction and architecture across multiple teams, and keeping it coherent as they scale. • Commercial judgment: you ground investment calls in business context. • Experience leading through change: restructures, migrations, and ever-shifting priorities. • Experience from product-led B2B SaaS. • Hands-on experience leading teams through the shift to AI-driven engineering. • Experience reshaping organizations as they change along with their needs. • Swedish is not required. Daily work is carried out in English and the Mentimeter team currently boasts 50+ nationalities. • A cover letter is not required as part of your application.
Responsibilities
• Turn strategy into outcomes • Translate company, technology, and product strategy into clear team missions, boundaries, and success measures. • Keep technology and product strategy tightly aligned: shared priorities, shared trade-offs, shared outcomes. • Own the Areas' outcomes together with your Product and Design peers, from planning through delivery. • Own how we build • Own technical direction and architectural coherence across your Areas – the systems hang together as teams move fast. • Set the engineering-quality bar with your Staff Engineers: the standards for how we build and review, held consistently across teams. • Move your Areas toward agentic development – make AI part of how every team builds, and own that shift as an outcome, not an experiment. • Create the conditions for autonomous teams • Give teams unambiguous ownership, a clear mission, and known decision boundaries. That is what autonomy is built on. • Build a native product-engineering culture where engineers participate in discovery and work from customer and business outcomes. • Allocate capacity and investments • Allocate engineering capacity across teams, and rebalance as priorities change. • Make trade-offs at Area level rather than inside individual teams, and decide where engineering effort creates the most value. • Drive build-vs-borrow-vs-buy decisions with long-term business impact in mind. Budget, headcount, and tooling follow strategy. • Lead the leaders • Coach and grow your Engineering Managers and the Areas' Staff Engineers, and hold them accountable for the growth of their engineers and systems. • Raise the leadership bar: calibrate how your leaders show up across their teams, and step in early when a team needs more. • Build the next generation of engineering leadership through hiring, feedback, and honest development conversations. • Keep delivery healthy • Balance speed, quality, and technical investment so the Areas deliver without heroics. • Resolve cross-team and cross-Area dependencies before they become bottlenecks. • Spot weak signals in team delivery and technical direction, and course-correct early. • Make technical debt visible and deliberately managed, not discovered in firefights. • What success looks like • Every team in your Areas can explain its mission, ownership, and success criteria – and has the autonomy to act on them. • Engineering investments clearly ladder into product, technology, and company strategy. • The architecture stays coherent as teams move fast, and the engineering-quality bar holds across your Areas. • Your Areas are visibly further along on agentic development – AI is part of how every team builds, and you can show the shift. • Product and Design pull engineering into decisions early – because they want to, not because they have to. • Your Engineering Managers grow visibly, and engineers' craft grows because of them. • The Areas deliver against their goals, and hold that pace under pressure. • Issues surface early; late-stage reversals and escalations are rare. • How you lead, and how AI runs through it • You lead with heart and bravery: you care personally about people and decide courageously, in line with our leadership commitment. You balance care and challenge, supporting your leaders while holding a high bar. You multiply through others. • And you are AI-native. Not as an initiative, but as an instinct. AI runs through how you work, how you think, and how you lead – and you are actively rethinking what an engineering organization looks like when AI is part of how every team builds. Pushing the craft forward is part of who you are: you want to be at the forefront of the move from a software development lifecycle to an agentic one – from SDLC to ADLC. We are working this out in practice at Mentimeter, and you will help set the patterns the rest of the company learns from.
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