Senior Engineering Manager - AI Team (London)

About hyperexponential (hx)

At hyperexponential, we are building the AI-powered platform that enables the world’s most critical decisions in a £7 trillion industry. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision, helping them move faster, act smarter, and take on more risk with confidence.

Our Agent teams are building and scaling cutting-edge AI agents that power real customer workflows, from autonomous analysis to interactive assistance and user-facing automation. You will sit at the heart of translating ambitious product ideas and performance targets into robust, production-ready agent capabilities that materially move the needle for our customers.

As Engineering Manager, you will own the technical delivery of one of our Agent roadmaps (Actuarial Agent, Ingestion Agent, or Underwriting Agent), leading AI Engineers to ship features that meet real customer requirements and close gaps surfaced through our eval pipelines. Your impact will be visible in the capabilities customers rely on day to day, and in the compounding velocity of a team that can repeatedly solve problems no one has solved before.

What you’ll be doing:

• Owning end-to-end technical delivery for one Agent team, turning customer requirements and eval-driven performance gaps into shipped capabilities that measurably improve agent success rates, latency, and reliability.
• Designing and institutionalising an explore/exploit operating model for your team, using timeboxed spikes, clear kill criteria, and exploitation triggers to reduce feasibility risk and increase the hit-rate of successful agent solutions.
• Partnering with Product, Design, and Research Engineering to co-design solutions, rapidly assessing feasibility for novel use cases, and steering the roadmap as you learn from real-world performance and customer feedback.
• Building and maintaining a DevEx roadmap focused on engineering velocity, investing in tooling, CI/CD, testing infrastructure, and observability so the team can safely increase deployment frequency and reduce cycle times.
• Coaching and mentoring AI Engineers to take on larger, more complex problems, growing technical leaders who can confidently drive designs, lead research spikes, and own critical areas of the agent stack.
• Creating a culture of high trust and high accountability, where experimentation is encouraged, data and evals guide decisions, and the team takes collective responsibility for the quality and performance of agents in production.

What you’ll need to have done:

• Led the technical delivery of complex, ambiguous products or systems in a domain without established playbooks, breaking down unknowns into testable hypotheses that led to meaningful shipped outcomes.
• Built and iterated on a structured experimentation or discovery framework (for example, spikes, A/B tests, or eval-driven loops) that reduced feasibility risk and accelerated decision making.
• Owned and delivered a DevEx or platform roadmap that materially improved engineering velocity, such as introducing CI/CD, improving testing and observability, or simplifying developer workflows.
• Managed or technically led a high-performing engineering team, creating psychological safety while holding a high bar for quality, delivery, and ownership of outcomes.
• Shipped AI/ML powered features or systems at production scale, working through challenges around reliability, observability, cost, and user trust, not just model performance in isolation.
• Collaborated closely with cross-functional partners (such as Product, Design, and Research/Data Science) to define strategy, shape roadmaps, and make trade-offs between delivery, debt, and foundational investment.

You’re unlikely to thrive here if:

• You prefer working only with well-defined requirements and mature patterns, and feel uncomfortable leading in environments with high uncertainty and few precedents.
• You see DevEx and engineering velocity as separate from product impact, rather than as core levers to ship better capabilities faster.
• You avoid direct ownership of difficult decisions or trade-offs, preferring to escape or defer rather than making and communicating clear calls with imperfect information.

If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you’ll do your best work. We’re building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us.

Compensation

At hx, we’re committed to salary transparency. You’ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations.

Benefits:

• £5,000 training and conference budget for individual and group development.
• 25 days of holiday plus 8 bank holidays (33 days total).
• Company pension scheme via Penfold.
• Mental health support and therapy via Spectrum.life.
• Individual wellbeing allowance via Juno.
• Private healthcare insurance through AXA.
• Income protection and Life Insurance.
• Cycle to Work Scheme.

Additional perks:

• Top-spec equipment (laptop, screens, adjustable desks, etc.).
• Regular remote and in-person hackathons, lunch and learns, socials, and game nights.
• Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry.
• Exceptional opportunities for personal development and growth as we build something remarkable together.

Our commitment to Diversity

hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact.

If you’re energised by complexity and motivated to grow, we encourage you to apply and join our global team.