# VP of Engineering

**Company:** [Turbine](http://jobs.workable.com/companies/7adzkrMw8hyuRLJHvVXrUX.md)
**Location:** Budapest, Hungary
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** Virtual Lab

[Apply for this job](http://jobs.workable.com/view/7cf571ca-ffe7-4bb3-a9e9-ec3a17273456)

## Description

Join our team as a **VP of Engineering** and help virtualize biological experiments to accelerate discovery!

**About Turbine**

Turbine is building Virtual Assays - AI-powered predictive models that can run biological experiments in silico. We're combining deep learning with a systematic approach to biology to enable faster, cheaper, more extensive testing. Our team is small, focused, and composed of researchers and engineers who care deeply about getting biology right.

  
**About This Role**

**We're looking for a VP of Engineering to own technical leadership across Turbine's engineering organization.**

You'll build and lead the teams developing our Virtual Lab platform -the infrastructure and systems that power our Virtual Assay capabilities - while ensuring alignment, operational excellence, and scalability across the entire engineering function.

This is a hands-on leadership role where you'll drive technical strategy, maintain system reliability, establish infrastructure discipline, and partner closely with Product and AI to translate our scientific vision into robust, compliant, scalable systems.

  
**You are a Turbiner if these personality traits apply to you:**

-   You have self-awareness and strong intention on personal growth
-   You seek out feedback and learn from mistakes and apply what you learned
-   You take responsibility and focus on the outcomes over tasks
-   You focus on shared success and are open to challenging others respectfully to get the best possible outcome
-   You are in it for the long haul and have passion for our mission

**Key Responsibilities**

-   Build and lead engineering teams working on the Virtual Lab platform; ensure they are healthy, motivated, and staffed appropriately to deliver current products and anticipate future technical needs
-   Ensure Virtual Lab remains stable, performant, and operational at all times—owning reliability, incident response, and continuous improvement
-   Establish and maintain engineering standards, best practices, and technical alignment across the entire company to prevent silos and technical debt
-   Partner with Product to collect, analyze, and interpret system and user analytics; provide data-driven insights that inform product decisions and prioritization
-   Own scalability of architecture, ensuring our systems can grow with our data and user needs without accumulating technical debt
-   Lead compliance and security initiatives—understanding regulatory requirements and ensuring engineering practices and security posture remain current and robust
-   Build systems and processes to prevent infrastructure debris—manage unused resources, derelict deployments, and abandoned services to maintain cost efficiency and operational clarity
-   Mentor and develop engineering talent; create a culture of learning, ownership, and high standards

## Requirements

**What We're Looking For**

You have proven experience leading engineering teams and building scalable systems:

-   5+ years of engineering leadership experience, ideally at least 2 years in a VP or director-level role
-   Deep expertise in building and maintaining production systems at scale—databases, APIs, infrastructure, reliability
-   Track record of building strong engineering cultures, hiring great talent, and developing people
-   Strong communication skills-comfortable explaining technical concepts to non-technical stakeholders

**Nice to Have**

-   Experience in regulated industries (healthcare, biotech, pharmaceuticals) or with compliance-critical systems (HIPAA, FDA, etc.)
-   Experience shipping AI or AI-adjacent products; familiarity with ML infrastructure, model serving, or AI-specific system requirements
-   Exposure to biology, bioinformatics, or scientific computing
-   Experience shipping data-intensive products or scientific software
-   Background in infrastructure, DevOps, or platform engineering