Vice President - Engineering

About Beam

Beam AI builds AI agents that carry out business processes for enterprise customers. Our platform helps companies identify where agents can help, put them to work, and improve them based on real results.

We’re building for a world where software doesn’t just follow a fixed workflow. It learns from results and gets better over time.

About the Role

We’re looking for a Head of Engineering to build that organisation and help it deliver well as Beam grows.

You’ll lead through the engineers who run our squads: developing them, giving them real ownership and making sure teams can carry work from a customer problem through release and production. You’ll own engineering delivery, hiring and team structure, and work with Product and leadership to make sound choices about priorities and capacity.

You’ll stay close to the technical work. You should be able to review a design, get into code when it matters, help diagnose a production issue and ask the question a team may have missed. We also expect you to use AI coding tools yourself and help engineering adopt practices that make a measurable difference to how we build.

What You’ll Do

• Lead Engineering Execution: Lead engineering across multiple product areas, with clear ownership for delivery, technical quality, and production reliability. Ensure teams stay focused on priorities, execute effectively, and maintain high standards as Beam scales.
• Develop Engineering Leaders: Coach engineering leads to make strong technical decisions, manage and develop their teams, and deliver through others. Build a leadership layer that operates autonomously while maintaining consistent engineering standards.
• Build the Right Team: Shape team structures, ownership, and hiring plans as Beam grows. Identify the capabilities needed at each stage and hire engineers and leaders who strengthen technical execution, raise the bar, and support Beam’s evolving product needs.
• Partner with Product: Work closely with Product to turn priorities into realistic engineering plans. Help teams navigate trade-offs across scope, speed, quality, and technical investment, while ensuring strong follow-through after launches.
• Guide Technical Direction: Set technical direction across squads where architecture, reliability, security, or scalability decisions have broader impact. Create alignment on important technical choices while giving teams autonomy to move quickly.
• Improve Engineering Velocity: Identify what slows teams down and improve how they build, test, deploy, and operate software. Remove unnecessary friction, strengthen feedback loops, and help engineers spend more time solving high-impact problems.
• Scale AI-Assisted Development: Bring practical AI-assisted development into everyday engineering workflows, from coding and debugging to testing and documentation. Establish clear standards for reviewing AI-generated work while maintaining quality, security, and reliability.