Head of​/VP of Engineering

What we are building

Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact. Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work.

Visit our Career Page to learn more.

We’ve achieved a solid product-market fit and are now scaling with intention. You’ll join a 50-strong team of Senior+ engineers and Product leaders who prioritise product impact over mere headcount. We have 8 cross-functional teams, including a dedicated Platform team focused on infra & developer experience. We started building proprietary ML before the LLM boom, so we don't just consume models — we train them from the ground up.

• We prioritize customer needs first
• We work in small, cross-functional, feature-oriented teams
• We have flexibility in terms of the problems we work on
• We own the full lifecycle of our projects
• We avoid silos and encourage taking up tasks in new areas
• We balance quality and velocity
• We have a shared responsibility for our production code
• We each set our own routine to maximize our productivity

You will be the first Head of Engineering at Mimica, leading our engineering organisation through its next major growth phase. With a recently closed Series B round and strong market traction, we are doubling the Product, Design & Engineering organisation from 50 to 100 over the coming year. This role exists to evolve engineering into a mature, high-velocity organisation capable of supporting 10x growth in usage.

You will define the technical vision and North Star, introduce scalable processes and standards, and partner closely with the CTO, Product, and ML leaders — all while preserving our strong culture of ownership, psychological safety, and servant leadership. This is a high-impact opportunity to own engineering strategy at a well-funded AI company at an exciting growth stage. Your impact will be direct: shaping how fast and reliably we can ship Enterprise-grade software, and build on a foundation that allows Engineers to do their best work.

If you have experience scaling such an engineering organisation, we'd love to chat!

• Introduce scalable engineering processes and practices while preserving a culture of strong ownership, psychological safety, individual initiative, a supportive environment, and servant leadership.
• Define and evolve the Engineering Strategy and North Star to support 10x usage growth. Set a clear technical vision and roadmaps that align work streams, technical standards, and business goals (e.g. balancing speed versus quality).
• Facilitate organisation-wide engineering planning, factoring in the prioritisation set by each team, and advance the necessary investments (headcount, vendors, infrastructure) to accommodate needs and long-term goals.
• Partner with the CTO, function leaders (Product, ML, Sales, People) to develop a strong product, business and talent strategy.
• Align hiring strategy with organisational goals by improving procedures, forecasting talent needs, and improving our value proposition to attract and retain top talent.
• Improve cross-team collaboration by preventing silos, duplicate work, and supporting coordination with Product while maintaining transparency and open-door policies.
• Drive the development and enablement of Engineering Managers through regular 1:1s, coaching, and career progression support. Build and maintain career ladders for Senior+ Engineers and Engineering Managers.
• Collaborate with Managers on projects to advance the Engineering org's maturation, such as establishing and improving the SDLC, QA practices, and SLOs.
• Enabling teams to monitor and improve engineering health and efficiency by defining and tracking metrics, proactively…