VP Engineering

Synagen AI

VP Engineering leading Synagen’s AI oncology platform from validated concepts to reliable production software. Building the engineering organisation, architecture and delivery capabilities for clinical teams.

Posted 8/4/2026full-timeBerlin • 🇩🇪 GermanyLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and leading engineering teams, with a strong focus on modern Python-based backend systems, cloud infrastructure, and AI-enabled products. Proven ability to translate product requirements into scalable, maintainable software while ensuring quality and reliability.

Highest-signal resume keywords

Engineering Team LeadershipPython-Based Backend SystemsAI-Enabled Product DevelopmentCloud Infrastructure ManagementHealthcare Software Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureTechnical DesignAI Coding Tools ProficiencyDistributed SystemsQuality Control of AI-Generated CodeProduction DeploymentScalable Software DevelopmentDecision-Making Under AmbiguityFailure Handling in AI SystemsEngineering Excellence

Soft Skills

Excellent Written CommunicationExcellent Spoken Communication

Industry Keywords

HealthcareClinical WorkflowsFHIRRegulated SoftwareSafety-Critical SoftwareEnterprise Software Deployments

Tech Stack

Tools & technologies

CloudDistributed SystemsPython

About the role

Key responsibilities & impact

Build and lead the engineering organisation behind the AI platform
Own engineering delivery from architecture through production
Turn product requirements into pragmatic technical designs and execution plans
Raise quality, reliability, security and engineering excellence
Stay hands-on through architecture, critical implementation and technical leadership
Take validated AI concepts into reliable, scalable and maintainable software

Requirements

What you’ll need

Experience building and leading engineering teams in a fast-moving product company
Track record taking products from prototype to production
Experience scaling engineering teams, processes and technical foundations from early stage through growth
Strong engineering judgment across modern Python-based backend systems, cloud infrastructure, distributed systems and AI-enabled products
Experience building and operating LLM or agentic systems in production, including evaluation, guardrails and failure handling
Proficiency using modern AI coding tools and reviewing and quality-controlling AI-generated code
Evidence of fast, high-quality decision-making under ambiguity, including deciding what not to build
Experience in healthcare, clinical workflows, FHIR, regulated or safety-critical software, or enterprise software deployments is advantageous but not required
Excellent written and spoken English
German is a plus, but not required

Benefits

Comp & perks

Competitive compensation
Virtual stock options depending on experience and scope
End-to-end ownership of engineering, technology and delivery
Opportunity to shape the next stage of growth of a product used in everyday oncology care
Small, senior and highly collaborative team
Pragmatic, low-bureaucracy environment with high autonomy and fast decision-making
Fast, thoughtful hiring process that respects your time
International candidates welcomed
Hiring process run in English