At a Glance
- Tasks: Lead the development of innovative AI products that transform the insurance industry.
- Company: Join a dynamic startup within a startup, focused on cutting-edge AI solutions.
- Benefits: Enjoy competitive pay, share options, flexible working, and personal development opportunities.
- Other info: Fast-paced environment with significant growth potential and direct access to leadership.
- Why this job: Make a real impact by building AI products from scratch and driving customer adoption.
- Qualifications: Experience in product management or engineering, with a passion for AI and problem-solving.
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 MoneySuperMarket, 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 ChatGPT 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, TypeScript and modern cloud infrastructure; or fast-moving startup experience.
Why join?
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.
If you want a narrowly defined role where somebody else decides what gets built, this probably isn't the right job. If you want to build things from scratch, ship constantly and have an outsized impact on an AI business that's already live and about to get a lot bigger, we'd like to meet you.
Role location
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.
How to apply
Send us your CV, but don't write a cover letter. Instead, answer three short questions:
- Send us a link to something you've built and deployed recently — a side project, website, tool or something professional. In 20 words or fewer, what is it and what did you personally do?
- What's your current preferred coding model / AI development setup? Tell us why in 20 words or fewer.
- One AI product or tool that you love — not ChatGPT or Claude. Why, in 20 words or fewer.
Don't overthink the answers. We're just looking for genuine builders with curiosity and opinions.
Interview process
We want the process to be fast, practical and representative of the actual job. There's no algorithm trivia and no whiteboard coding test.
- Initial conversation with the Director of Product, Open Agentic — what you've built, how you work and what you're looking for next.
- A take-home build. We'll give you a real Open Agentic product problem and ask you to build and deploy something, using Claude Code or whatever tools you like. Then you'll walk us through it with a small group from product and engineering.
- Final conversation with Open's co-CEOs, focused on ambition, culture and where you want to grow.
We want to move quickly when we find exceptional people.
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.
AI Product Manager in Slough 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.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager in Slough
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Open!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Open would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Open through your school's career services!
We think you need these skills to ace AI Product Manager in Slough
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like AI Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the AI Product Manager position at Open. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Open
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.