Senior Product Manager

Are you ready to shape the future of data?

Matillion is the company behind Maia, the AI Data Automation platform.

In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster.

We started in Manchester and now we’re global - with teams across the UK, US and India.

We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it.

As Senior Product Manager, you'll 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 genuinely great product experience looks like and holds the bar for it relentlessly.

You'll be user-obsessed and data-driven in equal measure. You'll ship dashboards, track leading indicators, run evals and use AI tooling in your own workflow to move faster. We're not prescriptive about your background - whether you've scaled a product at a larger company or moved fast at a startup, what matters is that you've done both at some point and you know the difference. Breadth of scope is easy. We need someone who can go deep.

We believe great product work happens through collaboration - which is why this role ideally follows our hybrid working pattern of two days a week in our Manchester city centre offices. That said, we know the right person isn't always on our doorstep, so we're open to flexibility for candidates based elsewhere in the UK. What matters most is the quality of thinking you bring, not where you sit.

Owning the product roadmap for your area of Maia - defining what problems need solving, prioritising ruthlessly, and ensuring engineering teams always know what they're building and why

Setting and tracking the metrics that matter - defining leading indicators of product success, producing dashboards regularly and using data to continuously evaluate and improve what we're shipping

Setting the bar for what "good" looks like in AI product - running evals, interrogating outputs, and ensuring the user experience of our agentic workflows meets a genuinely high standard

Deeply understanding the user journey - going beyond feature requests to identify the real friction, the unmet needs and the moments that matter most in the data engineer's workflow

Accelerating your own output with AI - you use AI tools actively in your product process today, whether that's for research, synthesis, prototyping or analysis, and you're always looking for ways to move faster without sacrificing quality

Proven experience building, launching and scaling B2B products - ideally with direct exposure to AI products and a genuine understanding of what makes them work for users

Deep knowledge of Data Integration, Business Intelligence or Advanced Analytics markets - familiarity with Snowflake, Databricks or modern data warehousing is a strong plus

A track record that spans both startup and larger company environments - you understand the difference between wide scope and real complexity, and you've operated in both

Highly data-literate and metrics-driven - you define success before you build, you measure relentlessly and you use dashboards to drive decisions not just report on them

A strategic thinker who stays close to the user - you map journeys, identify friction, understand the end-to-end experience and never lose sight of the human on the other side of the product