Start Date
Immediate
Expiry Date
08 Dec, 26
Salary
0.0
Posted On
09 Sep, 26
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Industry
Banking & Credit
We're selective about who comes on board, and you should be too. But if the above sounds like a match, get in touch today and get ready for the possibility of starting a once-in-a-career journey.
Nuix is looking for a Senior Product Manager to help shape how AI creates value for our customers. Working within our AI product group, you will own the roadmap and delivery for one or more AI capability areas - spanning NLP, data enrichment, agents, MCP integrations and the API surface that exposes them - executing against the portfolio strategy set at group level and turning it into shipped, commercially successful capability.
AI at Nuix is different. Our customers - courts, regulators, investigators, legal teams - must stand behind every finding under scrutiny. That means our AI must be explainable, defensible and auditable, built on models and frameworks that are trusted and understood. You will make that promise real in the capabilities you ship: defining how quality is measured, evidenced and continuously improved in production.
This is a hands-on role. You will spend approximately 70% of your time on core product management - discovery, roadmap ownership, delivery and evaluation - and 30% supporting go-to-market for AI releases and launches, working closely with Product Design, Engineering, Data Science and Commercial teams. You'll prototype with AI tools, test hypotheses directly and set up evaluations rather than only writing about them.
This position will be based in our Sydney office. The candidate is required to attend the office a minimum of 3 days per week but may voluntarily elect to work either remotely or from the Sydney office for the remaining 2 days of the wee
PRODUCT MANAGEMENT & EXECUTION (~70%)
• Own the roadmap for your AI capability area(s), executing against the portfolio strategy and translating it into prioritized, sequenced delivery that drives acquisition, activation and monetization.
• Run continuous discovery - market research, competitive analysis and customer engagement - to identify needs, validate solutions and feed insight back into portfolio strategy.
• Define and operate evaluation frameworks for AI quality with Data Science and Engineering: accuracy, precision/recall, explainability and performance benchmarks that hold up in production and under customer scrutiny.
• Work closely with Engineering and Architecture on delivery, ensuring AI capabilities are built as a native, provenance-preserving part of the platform.
• Track the evolving AI landscape - foundation models, agentic workflows, MCP and open protocols, RAG, AI governance regulation - and bring an informed point of view to roadmap decisions.
• Build strong relationships with key customers and partners, acting as a trusted product voice on AI capability, quality and roadmap.
• Define, monitor and report the success metrics for your capability area (adoption, engagement, accuracy, API usage) and use them to inform prioritization.