Senior Product Manager

Job Description

[REDACTED] is building the agentic data team

In the AI economy, demand for data is exploding and manual data engineering cannot keep up. Maia is our AI agent for data engineering. It builds and manages the data products teams depend on, multiplying what a whole data team can deliver. [REDACTED], [REDACTED], and [REDACTED] already run on it.

We started in Manchester and we are now global, with teams across the UK, US and India, and fifteen years of data expertise behind us. We have raised over $300M from some of the world’s best investors, including [REDACTED], [REDACTED], and [REDACTED].

We move fast, hold a high bar, and sweat the details. If you want to do the best product work of your career on a genuinely hard AI problem, this is the place.

About the Role

As a Senior Product Manager, you will own a significant slice of the Maia product, working at the intersection of complex user problems, AI capability, and commercial impact. We need someone who understands what a great agentic product experience looks like and holds the bar for it relentlessly.

You will be user-obsessed and data-driven in equal measure. You define what success looks like before you build, run evals to hold Maia to a high bar, and use AI in your own workflow to move faster. We're not prescriptive about your background: what matters is that you can move fast like a startup and scale with discipline like a larger company, and you know the difference. Most of all, we're looking for depth: the instinct to get to the heart of a hard problem and own it end to end.

Great product work happens through collaboration. You'll partner closely with Engineering and Design to build Maia, and with GTM to take it to market and turn what you learn into what you build next.

What you will be doing:

• Own a core area of Maia end to end: define the problems worth solving, prioritise ruthlessly, make the hard trade-offs with incomplete data, and drive the work through to measurable impact.
• Set the quality bar for agentic behaviour: build the evals that measure how good Maia really is, interrogate the outputs, and hold the line when it isn't there yet.
• Deeply understand our users: get past feature requests to the real friction in a data team's workflow, and the moments that earn trust.
• Work at the frontier of the stack: reason with Engineering about models, context, tools like MCP, and orchestration, and where each one changes the product.
• Accelerate your own output with AI: use AI tools actively across research, synthesis, prototyping, and analysis, always finding ways to move faster without trading away quality.
• Drive cross-functional alignment: work day to day with Engineering and Design, keep GTM ahead of what's shipping, and present your roadmap and priorities clearly to stakeholders, leadership and customers.

What we are looking for:

• A track record of shipping and scaling B2B products. You have built, launched, and grown products people love.
• Real fluency with how modern AI products work. You are familiar with evals, agentic workflows, context, and tools like MCP, and you have clear judgment about where AI earns its place and where it does not.
• A systems thinker. You see how the pieces fit together and balance craft, speed, and commercial impact.
• Sharp judgment under ambiguity. You turn incomplete information into crisp decisions, defend them, and change your mind when the evidence changes.
• Deep data literacy. You are fluent with metrics and let evidence, not opinion, drive the call.
• Excellent communication. You articulate a clear vision, bring cross-functional teams with you, and present with credibility to leadership and customers.
• Strong product instincts and taste. You stay close to the user, know what great looks like, and hold the bar for it.
• Bonus: data domain knowledge. Exposure to data integration, warehousing ([REDACTED], [REDACTED]), or analytics is a plus, not a requirement.

At [REDACTED], we are committed to providing compensation in line with market standards based on the role, job family, job level and country. This role's estimated annual salaried pay range for this position is £76,000 - £114,000. The final salary will be based on your relevant skills, experience and qualifications demonstrated in the hiring process.

More about [REDACTED]

We operate a flexible working culture that promotes work-life balance, with benefits including:

• Company Equity
• 30 days holiday + bank holiday
• 5 days paid volunteering leave
• Private Health Insurance
• Life Insurance
• Pension
• Access to mental health support

Your Safety

[REDACTED] recruiters will only contact you from [REDACTED] email addresses. We occasionally work with trusted recruiting partners; they will always tell you they are working on our behalf. We will never ask for money, fees, or bank details at any point in the hiring process. If something feels off, trust that instinct. Don't click any links. Go straight to [REDACTED] to verify open roles or reach us at [REDACTED].

Want to know more?

Don't tick every box? Apply anyway. We hire for potential, not just experience. A member of our Talent Acquisition team will be in touch.

Cannot find anything suitable role right now? We still want to hear from you. Drop us a line at [REDACTED].

Find out more about life on [REDACTED] here.

[REDACTED] is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. [REDACTED] prohibits discrimination and harassment of any type. [REDACTED] does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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