Product Manager - AI Products
Talent Insights Group · Sydney NSW ·
- Work mode
- Hybrid
- Employment
- Contract
- Category
- Product
- Salary
- AUD 800 – 1,000 / day
Contract (6–12 month) Product Manager role in Sydney (hybrid) for a large enterprise's live AI assistant platform with 5,000+ monthly active users. You'll own AI use cases end to end — discovery with business units, roadmapping, hands-on prototyping with the platform, launch and measuring impact — at a $800–1000/day rate.
Salary: $800-1000 per day
Product Manager, AI Products (Enterprise AI Assistant)- Daily rate contract, 6-12 month initial
- Sydney-based
- Hybrid working
We're looking for a Product Manager to own the development of high value use cases with business units across the organisation. You'll go end to end: find the real problem, shape the opportunity, build the thing hands on with the platform, get it live, measure if it actually worked, and feed that back into the roadmap.
What you'll be doing:
- Working directly with business units to find genuine product opportunities
- Work with users to identify needs, test problems and shape product direction.
- Building and prioritising roadmaps that connect local needs to the wider product strategy
- Prototyping skills, agents and experiences hands on with the platform
- Running practical discovery sessions using real work
- Defining success metrics and using evidence to decide what scales
- Leaving behind playbooks and patterns that make the next use case faster to ship
- Solid product management experience, from discovery through build, launch and iteration
- Strong user-led approach to product discovery and user-facing product development.
- Experience owning roadmaps, backlogs, prioritisation and success metrics
- Hands-on curiosity with AI products, workflow automation or low-code/no-code tools
- Understanding of how AI works in practice: retrieval, prompts, skills, agents, workflow logic, human oversight
- Strong facilitation and stakeholder skills, with the ability to explain AI opportunities and limitations to technical and non-technical audiences
- Grounding in responsible AI, privacy, data access and risk
AI, data, analytics or digital product management. Enterprise SaaS or internal productivity products. Product-led consulting with clear ownership of outcomes.