At a Glance
- Tasks: Transform ideas into AI products that revolutionise insurance.
- Company: Join a pioneering tech company reshaping the insurance landscape.
- Benefits: Competitive pay, share options, flexible work, and personal development support.
- Other info: Collaborative environment with opportunities for rapid career growth.
- Why this job: Be part of a dynamic team with real ownership and impact on innovative projects.
- Qualifications: Experience in product management and a passion for AI-driven solutions.
The predicted salary is between 63000 - 77000 £ per year.
Open Agentic is where we're building the next generation of AI products for insurance — products that can reshape how insurance is distributed, understood and managed.
Through partnerships with brands including Avios and Money Super Market, we already have AI products live in the market with household names.
We're hiring two AI Product Managers to help us 10x the pace.
You'll work directly with the Director of Product, Open Agentic, on some of the highest-profile products in the company, with significant autonomy and end-to-end ownership.
You'll build to prove an idea with working prototypes, then work with our engineering team to take it into production.
Think startup within a startup: high agency, high visibility, very little bureaucracy and lots of room to grow.
What you'll do
This is a hands-on product role — as much about deciding what to build as building it.
You'll work across product thinking, prototyping, engineering, AI, UX and deployment rather than owning one narrow part of the stack.
Current Open Agentic product areas include
- Global Product Graph, our structured intelligence layer for insurance products.
- Companion, our consumer-facing AI agent. Today it guides customers through buying insurance. Before long, it should let them put their insurance on autopilot.
- AI distribution, including Chat GPT Apps, MCP quote integrations and partner deployments.
- Agentic Safety Platform, which helps companies evaluate, monitor and manage customer-facing AI deployments.
We don't expect these to be the only things you'll work on. Part of the role is helping us discover and build what comes next.
You'll
- Take ambiguous product ideas and turn them into working software.
- Decide what to build now, what to defer and what not to build at all.
- Ship quickly, get things in front of real users and iterate on what you learn.
- Own products beyond the prototype — from zero to one, then from one to 100.
- Talk to customers and partners to find the problem worth solving, not just to validate a solution.
- Own the Global Product Graph — the ontology, the data, and the workflows that keep it accurate.
- Develop the insurance intelligence on top of it: product scoring, compliance evaluations, and what "good" means for a regulated AI deployment.
- Help shape both what Open Agentic builds and how we build it.
Within your first three months, we'd like you to have taken meaningful ownership of an AI-native product and shipped it.
Within six months, to be owning a major product or workstream end-to-end and taking it towards real customer adoption and revenue.
Who we're looking for
We're looking for builders — people who get excited by a blank page, move quickly and naturally take ownership when something needs doing.
You'll probably have an engineering or computer science background and be able to build things yourself, but your ambitions sit in product: more interested in whether we're building the right thing than in owning the system that runs it.
You're probably more excited by the product and commercial applications than by perfecting the engineering, and you want the next few years to grow your product and commercial mind rather than your engineering craft.
You can build.
You should be able to show us something you've personally built and deployed — we don't care whether it has 1 user (you) or 10 million — and explain how it works and the trade-offs you accepted.
We're not asking you to own production systems.
We are asking that you can prove an idea without needing a team.
You have product judgment.
You start from the problem and who has it, not the feature.
You're opinionated about what to build, comfortable arguing for what to leave out, and you can say how you'd know whether it worked.
You notice when something feels bad — good UX, design and clear communication matter to you alongside good engineering — and you care whether people actually use the thing, not only whether the
You're AI-native.
AI isn't something you recently added to your workflow because everyone else is talking about it — it's already fundamentally changed the way you build.
You're deeply comfortable with tools such as Claude Code, the latest coding models, agentic development workflows and platforms such as Vercel, and you have opinions about which are good at what.
You've also built with models rather than just alongside them, and know where they're reliable and where they aren't.
You keep up with new models and research because you find the space genuinely exciting, and you have a view on where it's going.
You have high agency.
You don't need a perfectly written PRD, detailed Jira tickets and three meetings before you can start.
You're comfortable with: "Here's the problem.
Go figure out what we should build."
You're hungry to grow.
You'll probably have 2+ years building products, but we're far more interested in what you've done than how long you've worked or what credentials you have.
Nice to have
None of this is required, but any of it is useful: insurance, financial services or another regulated industry; shipping AI or ML products in production; evaluations, model judging, red-teaming or guardrails; knowledge graphs, structured extraction or retrieval; Python, Type Script and modern cloud infrastructure; or fast-moving startup experience.
We have AI products live with household-name brands, real customers using them and the regulatory groundwork in place to deploy AI safely in insurance.
What we want next is pace — more products, shipped faster, on foundations that already exist.
You’ll get
- Real ownership: take products that matter to Open’s future from an idea to something customers pay for.
- Direct access to leadership: work with the Director of Product and closely with senior leadership, on work seen across the company and by major external partners.
- Speed: a small team where good ideas become live products quickly, using the best available AI tools rather than legacy ways of working.
- Room to grow: as Open Agentic scales, your scope should scale with it.
- Competitive compensation, including share options, so everyone shares in our success.
- Flexible working, paid company parental leave and a personal development allowance.
Based in our Marylebone office in London, hybrid, with at least three days a week in the office, a rhythm that supports collaboration and the fast, high-trust culture we're building.
You'll work with colleagues across the UK and Australia, including our broader Product and Engineering teams.
You'll need the right to work in the United Kingdom.
More about us
Insurance is one of the world's least digitally mature industries: confusing, paper-based and heavily intermediated.
We launched in Australia in 2016 to digitise the entire process, opened our London office in 2022 and our Manchester office this year.
We're a Certified B Corporation with a team across the UK, Australia and New Zealand.
We do this through three products.
Open Embedded lets businesses offer insurance directly inside their own apps and websites.
Open Agentic uses AI safely and responsibly to guide customers through buying a policy, answering questions in plain English.
Open Intel spots the moments when someone is most likely to need cover — like buying a car or moving house — and helps us reach them at the right time.
Diverse perspectives and lived experiences make us better at what we do.
If your CV doesn't tick every box, apply anyway.
Let us know if you need any adjustments through the process and we'll make it work.
Open is for builders — people who are intellectually curious, courageous and reject the idea that "it can't be done".
If that sounds like you, apply and let's build the future of insurance together.
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AI Product Manager in City of Westminster employer: Open
&Open is an exceptional employer that champions a culture of care and kindness, making it a unique place to work. With a competitive salary, hybrid working model, and generous leave policies, employees are empowered to thrive in a fast-paced start-up environment. The company prioritises diversity and inclusion, offering ample opportunities for professional growth and collaboration across teams, ensuring that every voice is heard and valued.
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We think this is how you could land AI Product Manager in City of Westminster
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We think you need these skills to ace AI Product Manager in City of Westminster
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Open.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Open and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Open
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Open uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.