Engineering Manager

Capsa; Greater London; Sur place; GBP 140 000 - 180 000; Plein temps

Résumé du poste

Capsa AI is building the AI Operating System for private capital. You will manage engineers across three squads (intelligence, experience and platform), own hiring and people development, and strengthen technical leadership within each team.

You’ll partner with the product managers and tech leads to translate priorities into clear objectives, shape solutions, and ensure delivery plans. You’ll drive ownership, capacity planning and risk management across squads, and contribute to a lean,

Qualifications

• Proven experience leading multiple engineering squads
• Ability to hire, develop and retain engineering talent
• Strong delivery focus and cross-functional collaboration

Responsabilités

• Own hiring and people development across three squads
• Shape solutions with product and tech leads to deliver credible plans
• Ensure engineers understand customer problems and seek improvements over pure execution
• Maintain visibility of capacity, dependencies and risks and adapt as priorities change
• Share accountability for outcomes with Product and CTO

Connaissances

Engineering leadership

Hiring

Performance coaching

Outils

Distributed systems

Data pipelines

Platform services

Description du poste

The AI Operating System for Private Capital.

Capsa AI

Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They’ve got to see through the marketing. They’ve got to outbid the competition. And they’ve got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future.

We’re focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we’ve grown ARR 15x, achieved product–market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Now we’re doubling down: we’ve raised a large Series A from top-tier VC investors to scale the team. We’re hiring hyper-talented people who want to work at the forefront of AI and revolutionise an industry.

The role

You’ll manage the engineers across three squads (intelligence, experience and platform), own hiring and people development, and strengthen technical leadership within each team.

You’ll partner with the product managers in Intelligence and Experience and the squads’ technical leads to translate company priorities into clear objectives, shape solutions together, and agree credible delivery plans. You’ll make sure engineers contribute to understanding customer problems and exploring solutions rather than just implementing requirements.

Across the three squads, you’ll be accountable for engineering capability, the quality of our work, and delivery against agreed commitments. You’ll make capacity, dependencies and risks visible, resolve obstacles, and work with Product and the CTO when priorities, scope or timing need to change. Alongside the squads and Product, you’ll share responsibility for the outcomes the work achieves.

The opportunity

• You’ll own hiring, coaching and performance management across all three squads, developing engineers and technical leads who can make good decisions and take responsibility for their work.

• There’s real scope to shape engineering management at Capsa, working with the CTO and Product to establish clear responsibilities and a consistent operating approach in a lean, flat structure.

• You’ll work alongside a small, senior and high performing engineering team

• Meaningful equity in a company that grew ARR 15x last year

What you’ll achieve in the first six months

• Formed an evidence-based view of the codebase, delivery process and engineering capability across all three squads, and agreed the most important improvements with the CTO and Product.

• Made your first hiring and team-shape decisions, grounded in the capabilities and capacity each squad needs.

• Established regular coaching and clear expectations for your engineers, with a grounded view of who’s thriving, who needs support and where the gaps are.

• Established clear technical ownership within each squad, with engineers taking responsibility for decisions and technical leads working effectively with Product.

• Helped the squads deliver meaningful improvements end to end, and assessed their impact on customers or the teams that depend on them.

• Put an agreed, lightweight planning and delivery rhythm into practice across the squads, making commitments, dependencies and risks visible without centralising every decision.

Recent projects from the team

• Agent Harness: our own agent harness built on a custom, streaming-first graph execution framework

• Code Execution Framework: interruptible and resumable mid-execution, for programmatic tool calling

• Document Ingestion, Indexing, and Search: a VLM-based OCR pipeline, a self-hosted search cluster, domain-aware search strategies

• Citations: an end-to-end approach to reviewing supporting documentation behind AI-generated statements

• Document Authoring: agent tooling and a document editor supporting collaborative authoring across Word, Excel, PowerPoint, and email

Track record

• Managed engineers directly for a few years; before that, a strong individual contributor at a venture-backed startup or a serious tech company

• You’ve coordinated work across teams or substantial parallel workstreams, resolving dependencies and competing demands while keeping ownership with the engineers doing the work.

• Hired people, developed them, and made calls about team shape as things scaled or didn’t go to plan

• Shipped distributed systems, data pipelines, or platform services to production through a team you led

• Comfortable operating at pace, with incomplete information

How you operate

• Takes responsibility for what your team ships and its effect on customers, not just internal velocity metrics

• Thinks carefully about the problems being solved and the decisions the team makes; uses AI to sharpen that thinking, not replace it

• Accepts that time is short and information is incomplete, makes progress anyway, and adjusts as more is known

If this opportunity excites you

We’d like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you’d own in the first six months.

Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Capsa AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.