Engineering Manager providing technical leadership for HS2 Track infrastructure project by ensuring compliance with design standards and collaboration with various teams.
About the role
- Leading engineering strategy and scaling teams at Orbital Copilot, focusing on AI-driven real estate legal solutions. Shaping technical architecture and fostering organizational growth in a collaborative environment.
Responsibilities
- Own and evolve Orbital’s end-to-end technical architecture to support global scale, reliability, and rapid iteration.
- Champion an AGI-pilled engineering vision that leverages cutting-edge model capabilities, autonomous workflows, and agentic systems along with promoting the use of internal AI coding tools so every engineer and non-engineer is 10x'ing their token usage.
- Make foundational architectural decisions across backend, frontend, infra, data, and ML systems.
- Establish engineering-wide standards around security, observability, quality, and operational excellence.
- Ensure engineering systems scale as ARR and usage grows exponentially
- Build the systems and processes to ensure predictable execution across many autonomous and cross-functional squads.
- Increase engineering velocity through better tooling, automation, and architectural simplification.
- Balance short-term needs with long-term technical investments.
- Maintain a strong handle on tech debt and reliability across mission-critical workflows.
- Strengthen CI/CD, on-call performance, and engineering quality culture.
- Lead and grow an engineering organisation of 50+ engineers, hiring exceptional managers and ICs.
- Build a scalable engineering org structure over the next 12 months with clear roles, expectations, and accountability.
- Mentor and develop engineering leaders, fostering a culture of ownership, technical excellence, and high trust.
- Empower teams to operate autonomously while maintaining alignment on architectural and strategic goals.
- Act as the “voice of Engineering” within the exec team, partnering closely with Product, AI, Legal Engineering, and GTM stakeholders.
- Collaborate with Product to translate strategy into realistic engineering plans and technical trade-offs.
- Work with GTM teams to support enterprise requirements, integrations, scalability, and security.
- Build strong bridges between Engineering ↔ AI ↔ Product, smoothing friction and aligning teams around impact.
- Serve as a key thought partner to the CTO, VP of AI, VP of Product and Head of Legal Engineering.
- Bring external perspective from previous scaling journeys, challenging assumptions with sound reasoning and experience. Come to the table with strong opinions, weakly held.
- Contribute to Orbital’s long-term technical vision, especially around agentic workflows, automation, and next-gen real estate legal AI systems.
Requirements
- AGI-pilled mindset with conviction about AI’s transformative impact and a desire to motivate others to adopt a similar mindset.
- Proven experience scaling engineering organisations from Series A/B → C+, managing 50+ engineers across multiple managers and squads.
- Deep architectural and systems-thinking expertise — ideally in distributed systems, cloud infra, AI/ML pipelines, and B2B SaaS platforms.
- Strong technical background (Python preferred) with the ability to review code and evaluate technical designs.
- Experience working with AI/ML-enabled products, ideally agentic systems or complex model-in-the-loop architectures.
- Excellent leadership and team-building capabilities; you’ve hired, coached, and scaled engineering managers and high-performing ICs.
- Strong communicator able to influence exec peers and motivate engineering teams.
- Comfortable being a thought partner and challenger to the CTO.
Benefits
- Matched pension contributions and equity options in a fast-growing startup
- Flexible working hours and hybrid location
- 25 days paid holiday (plus bank holidays)
- Professional equipment and a personal development budget
- Training opportunities to learn and grow
- Cycle-to-work scheme
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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