Engineering Leader in London

At Veeva Link, we are building the intelligence layer for Life Sciences, creating connected data applications that accelerate drug development and significantly improve patient outcomes. Our core belief is that combining the highest quality data with state-of-the-art software delivers immense value. We believe execution matters most. Progress comes from speed, accuracy, and quality in what we build every day. Our engineering approach emphasizes clear product definitions leading to meticulous technical designs. We leverage a modern tech stack to deliver inherently reliable applications and a great user experience.

Our work spans two critical areas:

• Data-Driven Insights: We develop sophisticated applications that map and understand global scientific and medical expertise, providing high-impact insights and AI-generated intelligence. Engineers here tackle complex data modeling, entity resolution, and advanced machine learning.
• Intelligent Business Workflows: We engineer workflow applications powered by our data, using AI to find patterns and route information precisely. This involves designing scalable pipelines and intelligent automation.

Why Join Veeva Link?

• We build products that create significant positive impact in global healthcare.
• We work in an environment led by a CEO with an engineering background.
• We collaborate with highly skilled teammates who take pride in achieving great outcomes. Excellence matters.
• Work Anywhere means you can work in an office or at home on any given day.
• Empowered Autonomy: Tech decisions are made within teams, giving engineers significant autonomy.

What You’ll Do:

This is the foundational role for our new product, where you architect the platform and define the engineering culture from day one. You will directly determine team agility, product scalability, and the effective integration of AI to deliver core customer value. You have a greenfield mandate to build a modern platform from scratch, granting full ownership over architecture and team composition. This high-visibility role involves multidisciplinary leadership that shapes product strategy through innovative AI integration. You own the technical architecture and strategy, defining everything from APIs to cloud infrastructure and AI implementation. You will lead and mentor a cross-functional team, establishing the processes and quality standards needed to deliver high-impact, reliable features.

• Define Architectural Strategy: Use strong system and API design skills to make decisive architectural choices, ensuring our solutions are robust, scalable, and efficient.
• Guide and Deliver: Lead cross-functional engineering teams to deliver complex, data-intensive, or AI-enabled products, ensuring project momentum and high-quality outcomes even as requirements evolve.
• Cultivate a High-Trust Environment: Champion a people-first, low-ego, and highly collaborative culture, acting with high integrity and guiding the team toward pragmatic, high-value solutions.
• Drive Technical Excellence: Apply expertise across the stack, from modern Python backends and React/frontend architecture to leveraging ML/AI workflows and data pipelines for production.
• Operationalize Stability: Ensure operational readiness through familiarity with cloud infrastructure (AWS and GCP), CI/CD practices, instrumentation, and monitoring.

Requirements:

• 7+ years of software engineering experience, including 2+ years in a dedicated team lead role.
• Strong demonstrated expertise with modern Python backend frameworks.
• Solid understanding of React and contemporary frontend architecture.
• Proven experience delivering data-intensive or AI-enabled products.
• Leadership Style: Collaborative, humble, and possessing the ability to create clarity among ambiguity.
• Excellent written and verbal English communication skills are essential for both technical documentation and team alignment.

Nice to Have:

• Experience working in early-stage or greenfield product environments.
• Hands-on experience with MLOps tools.
• Exposure to TypeScript or GraphQL.
• University degree related to Computer Science.