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.
Requirements
- Have 10–12+ years of engineering experience, with significant experience leading engineering teams and managing leads across multiple product areas.
- Bring a strong technical foundation, with the ability to review code, assess architectural trade-offs, and help teams solve complex technical problems.
- Have a track record of developing engineering leaders, helping engineers grow into leads who take ownership of people, technical decisions, and delivery.
- Have owned software products beyond launch, including reliability, technical debt, customer feedback, and ongoing improvement.
- Bring strong engineering judgment, knowing when to move quickly, where to invest in foundations, and when to change course.
- Have practical experience with AI coding tools and understand how to use them to improve engineering velocity without compromising quality or reliability.
- Thrive in fast-moving, ambiguous environments, creating clarity, aligning teams, and getting high-impact work shipped.
Experience with TypeScript/Node.js, React/Next.js, PostgreSQL, Redis, event-driven systems or cloud infrastructure is useful, but our specific stack is not a hiring gate. Experience building AI products or software for enterprise customers would also be valuable.
You don’t need to have worked at a company identical to Beam. We’re interested in what you’ve owned, the decisions you made and what changed as a result.
How We Work
We keep teams small and give them meaningful ownership. Engineers are close to the product and to the customers their work serves. We move quickly, use AI in our daily work and expect people to be direct when something needs to change.
If you like building engineering teams without losing touch with engineering, we’d like to hear from you.
Benefits
At Beam, we're building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We're thoughtful about what we build, how we work, and who we hire. The problems we're solving are real. The systems we're building are complex. And the people here care deeply—about craft, about speed, and about doing work that actually matters.
We offer competitive compensation and benefits, equity, flexible working arrangements, work-from-anywhere, parental leave, and the opportunity to grow with a team that values high standards, meaningful work, and learning by doing.
You won't find rigid hierarchies or endless process here. You'll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.
What you can expect from us
Our culture is shaped by our values in action:
- We think in agentic workflows, uses AI tools daily, and looks for leverage through automation.
- We ship fast, learn faster, and favour experimentation over perfection.
- We invest in high-impact work and value ownership.
- We align on outcomes while giving people autonomy.
- We seek clarity, welcome feedback, and continuously improve.
If this is the kind of work you want to do and the kind of team you want to build with, we'd love to hear from you.
Using AI in the Application Process: We encourage candidates to use AI thoughtfully throughout the application process. AI can support research and preparation, but we want to understand your own thinking, experience, and perspective.
If this is the kind of work you want to do and the kind of team you want to build with, we'd love to hear from you.