Matillion 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. Cisco, DocuSign, and Slack 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 General Atlantic, Lightspeed Venture Partners, and Battery Ventures.
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.