About the job

Principal Product Manager AI

DescriptionEqual Experts is a consultancy that builds custom software for large enterprise and public sector clients, across digital, online and mobile products. We're known for applying agile and lean delivery well. We have offices in Australia, India, South Africa, the UK, the EU and the USA.

We're looking for a Principal Product Manager AI. You'll also work hands-on as a Product Manager on client engagements, setting priorities for AI-powered products and judging where AI is — and isn't — the right tool.

You'll work with Engagement Managers, Delivery Leads, Data Scientists, ML Engineers and Engineers, plus people from the client's team, using agile practices such as CI/CD, fast experimentation and quick feedback loops.

ResponsibilitiesPractitioner (on client engagements)Work with clients to define the vision for AI products and decide where AI is the right tool
Set product priorities based on cost, risk, value and user needs
Set success metrics and quality thresholds for AI features
Work with data scientists and ML engineers to get solutions into production safely
Build strong relationships across the client organisation
Manage AI risks: bias, privacy, security and regulatory compliance
Translate between technical AI concepts and business value
Make pragmatic calls — including saying no to ideas that aren't worth the cost or risk

Required skillsStrong product/digital experience, including delivering AI, ML or data-driven products
Understanding of the ML/AI lifecycle (data, training, evaluation, deployment, monitoring) — enough to challenge delivery teams
Familiar with LLMs, RAG, prompting, agents and model evaluation
Aware of responsible AI, data governance and relevant regulation
Experience with Lean/Agile methods
Clear communicator who can explain AI to non-technical people
Experience coaching or mentoring others
Comfortable balancing internal practice work with client delivery

Responsibilities

About the job

Principal Product Manager AI

ResponsibilitiesPractitioner (on client engagements)Work with clients to define the vision for AI products and decide where AI is the right tool
Set product priorities based on cost, risk, value and user needs
Set success metrics and quality thresholds for AI features
Work with data scientists and ML engineers to get solutions into production safely
Build strong relationships across the client organisation
Manage AI risks: bias, privacy, security and regulatory compliance
Translate between technical AI concepts and business value
Make pragmatic calls — including saying no to ideas that aren't worth the cost or risk

Required skillsStrong product/digital experience, including delivering AI, ML or data-driven products
Understanding of the ML/AI lifecycle (data, training, evaluation, deployment, monitoring) — enough to challenge delivery teams
Familiar with LLMs, RAG, prompting, agents and model evaluation
Aware of responsible AI, data governance and relevant regulation
Experience with Lean/Agile methods
Clear communicator who can explain AI to non-technical people
Experience coaching or mentoring others
Comfortable balancing internal practice work with client delivery