Hiring nowPublic-service and civic AI delivery

Public-Service AI Product Lead

Also called Government AI Product Manager

A Public-Service AI Product Lead shapes AI-assisted services that public bodies can defend. They turn policy aims into working products, and show that those products are accessible, fair and accountable.

What they do

The lead works out which part of a public service could benefit from AI support, and which should stay with people. They map the current workflow, talk to frontline staff and service users, and write the product plan. They set the checks that sit around each AI-assisted step, including who reviews outputs and how people can challenge a decision. They run accessibility testing with real users, work with legal, policy and data teams on risk, and track how the service performs once it is live. They also explain trade-offs to senior officials in plain language.

What a strong hire delivers

In the first months, a strong hire delivers a clear product plan for one live service, agreed with policy, legal and operational owners. They set out the risks and the controls that answer them. They run an early accessibility review and fix the worst barriers. They also put in place an impact evaluation that measures service quality and the fairness of outcomes, so decisions can be explained and defended.

How you can tell they are good

Ask them to walk through a public-facing service they shaped, from first problem statement to live use. Listen for named users, honest trade-offs and what they chose not to automate. Ask how they would evidence fairness and accessibility. Be wary of people who talk only about model capability, or who treat accountability as paperwork added at the end.

Why it is hard to fill

Few people have shipped digital services inside institutions that answer to the public, and fewer have done it with AI. Titles vary widely, from product manager to service owner to policy adviser. Candidates tend to be strong on either delivery or policy, rarely both. Many good people are in the public sector and need a clear reason to move, so the mission and the mandate matter.

Where to find them

Look at service designers and product managers from government digital teams, civic technology organisations and public sector consultancies. Policy advisers who have moved into delivery are a good source. So are people from public administration, regulators and health or justice services who have worked on workflow change. Some come from vendors that sell to the public sector, though check they have owned outcomes, not only sales.

Indicative pay

Not enough published evidence yet to give a fair range for this role, which is common for work this new. We benchmark it for you as part of a search.

Interview questions for a Public-Service AI Product Lead

  1. Tell me about a public-facing service you shaped. What did you change and how did you know it worked?

    A strong answer names the users, the problem and the measures used, such as completion, errors and complaints. They separate their contribution from the team's. Worry if results are vague or only about delivery speed.

  2. How do you decide which steps in a service should use AI and which should stay with a person?

    Look for criteria such as impact on the individual, reversibility, error cost and need for discretion. They should mention frontline staff input. Worry about a blanket answer or a default to automate.

4 more questions, with what a strong answer covers, are in the Role Kit.

Job description you can post

We are hiring a Public-Service AI Product Lead to help public institutions deliver AI-assisted services that people can trust. You will own the product from problem definition to live evaluation, working with policy, legal, technical and frontline teams. Accountability and accessibility are part of the product, not extras.

What you will do

  • Define the problem, users and outcomes for AI-assisted public services
  • Map current workflows and decide where AI support fits and where people decide
  • Write and maintain the product plan, with risks and controls agreed with owners
  • Run accessibility testing with real users and act on the findings
  • Set up the impact evaluation covering service quality, accessibility and fairness
  • Work with policy, legal and data teams on accountable decision-making
  • Explain trade-offs and progress clearly to senior stakeholders

What you will bring

  • Shipped or substantially improved a public-facing or regulated service
  • Experience mapping and redesigning workflows with frontline staff
  • Practical knowledge of accessibility testing and standards
  • Ability to assess and document AI risks and controls
  • Understanding of public policy and how institutions make decisions
  • Evidence of measuring service outcomes, not only delivery
  • Clear writing and confident communication with non-technical leaders

Nice to have

  • Experience in government digital, civic technology or a regulator
  • Worked on a service that used automated or AI-assisted decisions
  • Background in service design or public administration

Free to use and adapt. If it saves you time, a link back to this page is appreciated.

Skills that matter

  • Public policy and economicsAdvancedAnalyse institutional choices and distributional effects
  • AI risk managementAdvancedIdentify, assess, treat and monitor AI risks
  • AccessibilityWorkingEnable equitable use by people with disabilities
  • Workflow and process designWorkingRedesign work with explicit responsibilities and controls

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How we wrote this

Role definitions are our own editorial work, checked against occupational classifications, standards, research and employer pages. Titles vary by company, and this is a description of the work, not a job advert.

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