We live in a world that runs on physical industries like energy, logistics, and manufacturing. These sectors are essential to our economy and daily lives, yet they are held back by inefficiencies, fragile legacy systems, and decades-old ways of working. This is not just a business problem; it is a societal one. When grids fail, supply chains stall, or factories falter, entire economies are disrupted.
These companies face unique, complex challenges that typical software was never designed to solve. Cogna was founded to change this. Our mission is to give critical industries their own AI-powered Software Factory: a way to build and deploy bespoke digital tools that solve pressing operational challenges.
Since our launch in May 2023, we’ve seen incredible customer traction and revenue growth. We’re backed by leading VCs, including Notion Capital and Hoxton Ventures, and we’re building a world-class team to take on one of the most important challenges of our time. We’re a team of around 75 today, on a path to Series B and scaling towards 150.
Tackling challenges at this scale takes people who are curious, adaptable, and motivated by impact. If our mission resonates with you, we encourage you to apply, even if your experience doesn’t match every requirement. We are committed to building a diverse team that reflects the industries and societies we serve.
We are looking for a deeply technical, systems-thinking Product Manager to own the core platform that powers Cogna’s AI-first software creation tools. You will be responsible for building large-scale, globally distributed backend systems and for shaping how AI is used in a reliable, reusable capability across the company.
A central part of this role is owning our Agent Platform: a managed set of agents that any of our product teams can easily spin up and surface within their own products. These agents perform a variety of tasks across our platform, including building customer solutions, performing customer service tasks, data security and privacy testing, and context-rich business artifact generation. You will work hand-in-hand with engineering to make AI a dependable building block, not a one-off feature.
This role suits someone who thrives in a 0→1 environment but knows how to operationalise product development for scale. You’ll be joining as we move past the startup stage into scale-up, so you’ll need to bring judgement on how to build for growth.
What You’ll Do:- Own the Agent Platform: Define and ship a managed set of agents that product teams across Cogna can spin up to do a defined set of things, making AI a usable part of our products.
- Build systems at scale: Partner with engineering to design and deliver large-scale, globally distributed backend services and APIs that are extensible and built to grow.
- Go deep on AI/LLMs: Shape how large language models are used at a systems level, you understand what it means for an LLM to have a context bundle, to save and manage state, and how that translates into reliable product behaviour.
- Drive iterative development: Ship MVPs that solve core problems, measure them, and evolve them based on real usage, comfortable discovering something doesn’t work and quickly trying something else.
- Run delivery hands-on: We don’t have TPMs, so you’ll keep dev teams aligned on agreed priorities and track delivery closely in Linear.
- Decide with low signal: Make good calls with limited customer data, relying on technical judgement and intuition where complete signal isn’t available.
- Own outcomes: Define success metrics and use data to track adoption, reliability, and impact, iterating to improve.
- Experience: 4+ years in product management, with a track record across both 0→1 work and scaling systems in high-growth environments.
- Scale-up experience: You’ve worked at mid-to-large company scale, not only at startups you know what a scaling journey actually looks like.
- Deeply technical background: You’ve been a highly technical PM working on backend services, ideally services that have scaled, and you can speak intelligibly about building systems at scale.
- AI/LLM depth: You understand how to build systems that utilise AI context bundles, state, and what it takes to bring LLMs into reliable product experiences.
- Comfortable with AI tooling: You’re happy using tools like Claude Code and Claude Design to prototype and move quickly.
- Enterprise mindset: You’ve built for enterprise customers and understand how they think about experimentation and satisfaction.
- Thrives in ambiguity: You don’t need full clarity before taking action, and you stay effective when signal is low.
- Experimentation mindset: Highly agile, comfortable trying something, measuring it, and changing course quickly.
- Well-rounded PM: You bring the full gamut of product skills rather than a narrow focus (we’ve found purely analyst, technical-program-management, or testing backgrounds tend to fit less well).
- Competitive salary and share option plan
- 25 days annual leave, plus public holidays
- Excellent pension scheme, with Cogna paying 7.5%
- Enhanced parental leave: 12 weeks full salary for all parents (plus up to 4 weeks pre-birth for birthing parents)
- Private healthcare, including family cover and pre-existing conditions
- Flexible hybrid working with 2 days per fortnight in our Farringdon office
- Regular social events and offsites
- Access to a gym and fitness classes in our office building
Cogna London, England Office
London, United Kingdom
