Product Manager

Proton.ai; Cambridge; On-site; GBP 60,000 - 85,000; Full time

Benefits offered by this job

Company stock options

Flexible schedule

Unlimited PTO

Job summary

Proton.ai in Cambridge, United Kingdom, is hiring a Product Manager to own product domains end to end, reporting to the VP of Product. You will lead a cross-functional squad at the intersection of AI capability and distributor workflows, turning our positioning into differentiating product outcomes.

You inherit an ambiguous problem space and drive discovery through build, launch, and adoption. Expect hands-on collaboration with engineering, design, and data science, plus frequent on-site work

Job description

• We’re hiring a Product Manager to own product domains end to end. Reporting to the VP of Product, you'll lead a multi-functional squad at the intersection of AI capability and real distributor workflows, turning our positioning advantage into compounding product differentiation
• End to end means further than it usually does. You inherit a problem space rather than a backlog: work out where the real value sits across hundreds of distributors, ship in tight cycles with design partners keeping you honest, prove the thing works in production, then drive adoption across the base and make it something sales can sell without you. There is no handoff point where the domain stops being yours
• Own your domain from fuzzy to growth. Take an ambiguous problem space through discovery, definition, build, launch, adoption, and revenue. You are responsible for the outcome
• Get onsite, constantly. Distributors work in warehouses and on sales floors. Onsite visits, shadowing sessions, and discovery calls are how you learn the domain, and the best calls come from standing next to a rep. Our product people know their users by name
• Run genuinely iterative development with customers in the loop. Think big, ship small, put working software in front of real users early, and let what you learn reset the next cycle. Design the feedback loop deliberately rather than waiting for feedback to arrive
• Build hands-on with engineering, design, and data science to ship features and agentic workflows, and to make sure the surrounding UX lets a user act on what AI surfaces
• Own adoption, not just launch. Run alphas and betas, stay close through the first rollouts, then push adoption across the installed base and watch where it stalls and why
• Enable GTM. Give sales and CS the positioning, proof, and training they need. Join customer and prospect calls, show the product yourself when it helps, and make sure what you built is sellable and supportable without you in the room

Benefits

• Company stock options: We believe everyone should own a part of something they help build, so we offer company equity to all employees.
• Flexible schedule: Work is important to us. As is being flexible. We know life doesn't always land outside of a 9-5 schedule and make space for you to live your life.
• Unlimited Required PTO: We offer unlimited PTO, and we make sure everyone takes at least 2 weeks off per year.
• Company wellness days: In addition to company holidays, we offer wellness days, when the whole company takes a day off to rest and recuperate.
• 12 weeks paid parental leave: 12 weeks paid parental benefit for all parents (birthing, non-birthing, adopting, fostering).
• Health benefits: Get access to great healthcare benefits.
• 401k with employer contribution: We believe it's important to help our team plan for the future. For U.S. employees (for now), we directly contribute a 3% match of your salary to a 401k.
• Company-paid off-sites: Enjoy in-person brainstorming and team-building. All expenses covered so you can focus on bonding with the entire team.

Technical and AI collaboration. You've built alongside engineers and data scientists to deploy AI-centric features at scale, and you're fluent enough to hold your own with senior engineers on data models, APIs, and service boundariesProblem-solving and communication. You navigate complexity, distill the key issue, and communicate clearly to technical and non-technical audiences alikeDaily, hands-on use of AI in your own practice. Claude Code, Cursor, or equivalent, used to ship real work rather than generate artifacts. You can say concretely how you structure context and how you check what comes backProduct and startup experience. At least 2 years managing features end-to-end through the SDLC. Early-stage startup experience (Seed through B or C) is a plusData-driven and adaptive thinking. You make data-driven calls while embracing the uncertainty earlier-stage vertical B2B SaaS bringsBusiness sense and a continuous improvement mindset. Strong business intuition and a real appetite for innovation, iteration, and AI excellenceCustomer-facing range. You're as comfortable in a warehouse aisle with a rep as on a call with a VP of Sales, and you can carry a room in front of a prospect. You'd rather be with a user than briefed about themReal agile experience, and the judgment to adapt it. You've worked inside traditional scrum, know what those rituals were for, and can run a tight iterative loop with customers rather than a release calendar. You've shipped something incomplete on purpose because it was the fastest way to learnComplex B2B, enterprise, or ERP-adjacent software, with high-frequency users and workflows people can't opt out ofSystems-of-record or integrations work. You understand how messy real-world source data becomes a clean, canonical model, and what breaks when it doesn'tAgentic products, and the patterns for trust, correction, and handoff between a person and an agent