As a Technical Product Manager, you’ll be defining our product direction in close collaboration with our talented Engineering teams . You’ll own product areas end-to-end and ensuring we ship the right things at pace. You’ll bring technical credibility to every conversation and into product decisions that matter.

You’ll work alongside the VP, Product in a product function that punches well above its size, complementing our engineering and ML teams with product leadership , aligning our roadmap across sales, research and GTM. This is a role for someone with genuine technical depth who wants to grow into more, using their hands-on background to drive product impact in one of the most technically interesting areas in AI today. What will you be doing: Ship ping Voice AI products end-to-end: From discovery and definition through to delivery and iteration.

F ocus ing on shipping value to customers, not just features. That means owning the success definition for key product areas: choosing the right metrics and using data to drive iteration. Speak ing directly to customers: Run ning your own interviews with users building with our Speech APIs for use cases such as voice agents, medical scribes and more.

Understand ing their needs and communicat ing them to the business. Evolv ing the product roadmap for your area: Bringing customer and market insight as well as technical context to build defendable prioritisation decisions.

Requirements

and realities into product decisions. Understand ing what trade-offs need to be agreed and how to deliver efficiently. Work ing with sales and GTM: Defin ing how we package and position what we build, so that what we ship stands out in a competitive market.

Help ing define what great product looks like at Speechmatics : Be ing part of a product culture built on rigour , speed and deep curiosity. Who we’re looking for: Product experience: You've taken a product from problem definition to delivery multiple times and measured the impact. Technical depth: You’ve worked in software engineering, ML, data science or a related technical field.

You're comfortable building scripts and quick prototypes, using the latest AI tools to move fast and validate ideas before committing engineering resource. APIs and deployment: Familiarity with API-based products and SaaS or on-premise deployments would certainly help . ML Product fluency: You understand that shipping an ML model isn't like shipping a software feature.

The definition of " ready to ship " is not black and white , evaluation isn’t pas s or fail. Experience working directly with teams that train, evaluate and ship models is a real advantage. If your background is outside ML, we'll want to understand how you build technical fluency quickly and any relevant experience.

Data instinct: You are comfortable digging into model evaluation results, asking whether the test data reflects real-world conditions, and understanding what a benchmark result does and doesn't tell you. Engineering credibility: You can engage with ML engineers, researchers and developers from day one, earning trust by listening and learning, rather than title. Comfortable with ambiguity: AI is moving quickly and so are we.

You bring enough market and technical awareness to have a point of view on where things are heading, and you use that to shape roadmap decisions rather than just react to them.

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is intended to show the kinds of experience and qualities we’re looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you.

Who We Are

: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Lear