Engineering Director (100% Remote within Poland)

Build the AI-native healthcare journey Every month, around 100 million people come to Docplanner to find a doctor, book a visit, stay in touch with their care and pay for it. Each of those steps is now being reinvented with AI. Search is turning into conversation. Booking is becoming something an agent can do for you. Payments that once needed a human to step in are starting to resolve themselves. Ongoing care is moving from reminders to proactive, personal follow-up. We're looking for an Engineering Director to lead that change across Marketplace, Patient Engagement and Payments. It's the part of Docplanner that most patients see and much of what providers depend on. You'll lead around 75 engineers and turn three strong areas into one connected, intelligent patient experience. Our mission is to help people live longer, healthier lives. We use AI to do that in a way that patients and doctors can trust. Why this role, why now Most engineering leaders are still deciding what AI means for their teams. Here, you get to answer that question at a real scale, in a regulated domain where quality, privacy and trust come first. You'll shape two things at once: • What we build: AI-powered discovery, booking, engagement and payment experiences for patients and providers in 13 markets. • How we build it: an engineering organisation where AI-assisted development is simply how work gets done, from writing code to testing and review, with the discipline to know when it helps and when it doesn't. What you'll do • Set the direction. Own the engineering strategy and roadmap across all three areas. Tie technical bets to product outcomes and to numbers that move. • Build product builders. Build a strong engineering team that thinks in terms of value. Make ownership clear, strengthen the leadership bench and give teams room to decide without waiting on each other. • Turn AI into a product. Work with Product and Design from discovery through delivery to bring AI into search, booking, engagement, continuity of care and payments, where it solves real patient and provider problems. • Continue rewiring how engineering works. We already made a transformation in terms of AI-assisted development across coding, testing and review. We want to go further and need you to set the standards for checking AI output and protecting quality, security and privacy, so moving faster never means being careless. • Own the architecture. Guide design and engineering standards across the portfolio, balancing pace with reliability, security, privacy and scale across markets. • Remove friction at its source. Improve how ideas become impact with clear priorities, a few useful measures and regular learning. Fix recurring problems at the root and keep the process light. • Shape company-wide tech. Align with engineering peers on shared platforms, explain trade-offs to executives and help make technology decisions across Docplanner. You are hands-on This isn't a role where you lead from slides. You use AI coding tools yourself, take part in design and code reviews, and quickly prototype solutions when it helps unblock a hard problem. That technical credibility supports your leadership, while most of your impact comes through the people you develop. What you bring • Experience leading multi-team engineering organisations through managers, with a record of growing leaders and delivering through change. • Daily, practical fluency with AI-assisted development (Claude Code, Cursor, Copilot or whatever you prefer) and clear judgment about its strengths, limits and risks. You don't need a deep ML background; you need to have changed how you and your teams work. • A product mindset: you connect engineering strategy to customer outcomes and business results, and you care whether what you ship gets used. • Technical depth across architecture, delivery, reliability and security, and you're comfortable going into the details. • Strong partnership skills with Product, Design, Data and business leaders, and you're calm with executives and with ambiguity. • Experience with marketplaces and complex, high-stakes products where reliability, privacy and security matter. What success looks like in your first year • Marketplace, Patient Engagement and Payments work to share priorities and one engineering direction tied to product strategy. • AI features live in the patient journey, and product data shows where they help patients and providers. • AI-assisted engineering is the default where it adds value, and teams measure what it does for speed, quality and developer experience. • Engineering managers have clear ownership and the tools to lead delivery, people growth and technical decisions on their own. • A small set of useful delivery and quality metrics shows where the bottlenecks are and drives better reliability. Why Docplanner You'll work on real problems for real people: 100 million patients a month and more than 300,000 d