VP, Engineering

Role Overview

This is a VP-level position reporting directly to the CTO. You will lead Engineering pods the foundational platform teams powering our Agentic AI and Big Data capabilities. Your immediate mandate is to build the management layer across four existing pods (30 people today) and scale the organization to 6080 engineers over the next few years.

What You Will Lead

• Engineering Pods: The engineering foundation for our Agentic AI and petascale Big Data platform
• Team scale-up: Grow from 30 engineers across 4 pods to 6080 people building the management structure as you go
• Global team: A Prague-centered organization with team members also in Vietnam and the US

Responsibilities

• Establish and scale the leadership infrastructure for four cross-functional engineering pods; identify mentor and elevate high-potential talent into formal leadership roles
• Scale the organization from 30 to 6080 engineers through strategic hiring onboarding and team design
• Define a long-term technical vision for platform foundations that meet scalability security and engineering productivity goals; own the roadmap and deliver against it
• Be present in the work: sit with engineers during technical incidents mediate architectural decisions and stay close to the code and systems
• Drive cross-functional collaboration with Product Management and other engineering teams to build core platform components
• Bridge Czech Republic and the US (East & West Coast): maintain strong alignment with US-based stakeholders
• Champion engineering culture in our Czech Republic hub mentor leaders raise the bar on quality and foster a high-performance high-trust environment
• Establish best practices around agile delivery automated testing CI/CD and continuous process improvement

Qualifications :

Required

• 15 years of software product development experience including 7 years managing (software and data) engineering teams and 3 years as a manager of managers (total org size of 40)
• Proven track record scaling engineering organizations from 30 to 80 people including designing the management structure
• Deep expertise in petascale data processing and storage you can speak authoritatively about distributed data platforms at scale
• Experience with building agentic platforms and understanding the impact on data platform requirements
• Able to articulate how AI acts as a force multiplier in engineering productivity and product capability with demonstrated experience
• Experience with greenfield platform development building foundational systems from scratch not just iterating on existing ones
• Background in a highly regulated industry (financial services defense healthcare life sciences etc.) with a strong appreciation for compliance security and data governance
• Solid cloud architecture knowledge (AWS preferred; Azure/GCP/OCI considered); hands-on comfort with distributed systems REST APIs and SQL/NoSQL databases
• Comfortable working in a distributed remote-first environment with asynchronous communication across time zones
• Located in or able to work in Central European Time with flexibility to join evening calls (8p.m. CET) several times per week

Nice to Have

• Healthcare or life sciences industry experience
• Familiarity with JavaScript or Python

What We Care About

• Curiosity and humility. We are dedicated to learning and constantly improving. We value unknown unknowns and a natural drive to figure out how everything works.
• Agility and ownership. Our teams have a high degree of freedom in how they build but they own what they deliver for the long run.
• Proactivity. An internal drive to leave things in a better state than you found them. Going above and beyond to keep the codebase healthy.
• Monitoring and automation. A fully automated system is key to rapid iteration; an extensive metrics suite surfaces what needs attention.
• Balancing research and product. We value staying current on cutting-edge research while shipping meaningful products that enable researchers to fulfill their mission.

Logistics

• Location: Prague Czech Republic (preferred) or remote within the Czech Republic candidates in the vicinity of Prague are expected to be in the office at least 2 days per week; candidates based further from Prague are expected to be in the office at least one week per month.
• Headquarters: Mountain View California USA
• Team footprint: Prague (primary) Vietnam United States
• Time zone: Central European Time; occasional evening availability (8p.m. CET) required for West Coast US alignment

Additional Information :

Based in Mountain View California DNAnexus is experiencing rapid growth and is searching for the best talent to join our team. We recently completed a $200 million financing round to advance our growth globally to further serve leading healthcare and life science organizations. Key investors include Google Ventures Perceptive Advisors Northpond Ventures TPG Biotech and Foresite Capital. 

DNAnexus will provide the necessary support to enable the ideal candidate to work remotely within the Czech Republic.

Remote Work :

No

Employment Type :

Full-time