About this job
<p><strong>About Synagen</strong></p>
<p>Synagen builds AI copilots for oncologists. We help clinical teams bring together patient information, medical evidence and treatment options when decisions matter most.</p>
<p>We are physicians, AI researchers and engineers working closely with hospitals and oncology care providers. Our goal is to turn advances in AI into reliable software that makes a measurable difference in everyday cancer care.</p>
<h2>Tasks</h2>
<p><strong>The role</strong></p>
<p>As VP Engineering, you will build and lead the engineering organisation behind our AI platform. Your mandate is clear: turn product requirements and validated AI concepts into reliable, scalable and maintainable software. You will own engineering delivery, architecture, technical quality and engineering culture while remaining hands-on where it matters.</p>
<p><strong>What you'll do</strong></p>
<ul>
<li>Build and lead the engineering organisation.</li>
<li>Own engineering delivery from architecture through production.</li>
<li>Turn product requirements into pragmatic technical designs and execution plans.</li>
<li>Raise the bar for quality, reliability, security and engineering excellence.</li>
<li>Stay hands-on through architecture, critical implementation and technical leadership.</li>
</ul>
<h2>Requirements</h2>
<p><strong>What you'll bring</strong></p>
<ul>
<li>Experience building and leading engineering teams in a fast-moving product company.</li>
<li>A track record of taking products from prototype to production while scaling engineering teams, processes and technical foundations from early-stage through growth.</li>
<li>Strong engineering judgement across modern Python-based backend systems, cloud infrastructure, distributed systems and AI-enabled products.</li>
<li>Experience building and operating LLM or agentic systems in production, including evaluation, guardrails and failure handling.</li>
<li>You use modern AI coding tools as a core part of your engineering workflow and can effectively review and quality-control AI-generated code.</li>
<li>Evidence of making fast, high-quality decisions under ambiguity, including deciding what not to build.</li>
<li>Experience in healthcare, clinical workflows, FHIR, regulated or safety-critical software, or enterprise software deployments is a strong advantage, but not required.</li>
<li>Excellent written and spoken English. German is a plus, but not required.</li>
</ul>
<h2>Benefits</h2>
<p><strong>What we offer</strong></p>
<ul>
<li>End-to-end ownership of engineering, technology and delivery.</li>
<li>A product used in everyday oncology care, with the opportunity to shape its next stage of growth.</li>
<li>A small, senior and highly collaborative team of physicians, AI researchers and engineers.</li>
<li>Competitive compensation, including virtual stock options depending on experience and scope.</li>
<li>A pragmatic, low-bureaucracy environment with high autonomy and fast decision-making.</li>
<li>A fast, thoughtful hiring process that respects your time.</li>
</ul>
<p>We welcome international candidates and run our hiring process in English.</p>
<p><strong>Apply</strong></p>
<p>Tell us about one product you helped take from ambiguity to production: what you owned, what you decided not to build and what changed for users. If you’ve built something you’re particularly proud of, we’d love to see it.</p>
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