Do you work as an AI Product Manager and Product Owner?
Yes. I support teams as both AI Product Manager and Product Owner, depending on your delivery model, team structure, and growth stage.
Top AI Product Manager & Product Owner in Sydney
I help startups and enterprise teams hire one operator who can think like an AI Product Manager and execute like a Product Owner. Based in Sydney, I support 0→1 launches, product-market fit sprints, and AI roadmap delivery with measurable outcomes.
A$20M+
Revenue influenced across product launches
1B+
Wedded Week cumulative impressions
Why work with a top AI PM/PO
A top AI Product Manager or Product Owner brings proven execution — CSPO-certified, A$20M+ revenue influenced across the portfolio — hands-on 0→1 experience, and the ability to align strategy with delivery. You get one person who can own discovery, roadmap, and execution without the overhead of a full-time hire.
The difference between a generalist PM and an AI PM is not just vocabulary. An AI PM knows how to scope LLM features so engineers can build them, how to design evaluation loops so you know if an AI feature is actually working, and how to communicate AI tradeoffs to non-technical stakeholders without losing trust. That cross-functional translation is what gets AI products out the door.
I focus on AI-powered products, LLM integration, and measurable outcomes so you can ship faster and iterate with confidence.
How I help as your AI PM / PO
- AI opportunity mapping: Identify where AI creates real leverage in your product — not where it looks impressive in a demo
- Roadmap prioritisation: Sequence features by impact and feasibility, aligned with your business goals and engineering capacity
- Backlog ownership: Sprint leadership, grooming, and cross-functional execution from discovery to delivery
- LLM feature definition: Prompt workflow design, evaluation frameworks, and experiment loops for AI features
- Conversion and retention: Product analytics, funnel analysis, and outcome tracking so you know what is working
- Stakeholder alignment: From engineering briefs to investor updates — clear communication at every level of the organisation
How the engagement works
- 1
Discovery call (30 minutes)
We align on your product stage, team structure, and what PM coverage you actually need. No commitment — just a clear conversation about your product and whether we are the right fit.
- 2
Scope and proposal (within days)
A short written brief covering hours, deliverables, engagement structure, and a 30-day start plan. Agreed quickly, no lengthy procurement process.
- 3
Kick-off sprint (week one)
Deep-dive into your product, users, tech stack, and existing roadmap. I map the stakeholder landscape and identify the first priorities before writing a single line of PRD.
- 4
Ongoing delivery (week two onwards)
Weekly sprints, backlog ownership, stakeholder communication, and measurable progress toward outcomes. You are in the loop at every step.
Industries I have worked across
I have shipped AI and digital products across multiple verticals — which means I understand the domain-specific constraints, user behaviours, and growth levers that vary significantly between industries.
Wedding Tech
Wedded Week — 1B+ impressions, 32,000 users
B2B SaaS
AI-powered workflow tools and LLM integrations
Marketplaces
0→1 two-sided marketplace design and growth
Climate Tech
Impact-first product strategy and roadmap
Fintech
Regulated product delivery and compliance-aware design
E-commerce
Conversion optimisation and AI personalisation
Recent win: Wedded Week
Wedded Week reached 1B+ cumulative impressions and 32,000 users with 75% engagement across 7+ markets. In 2024, it achieved A$500K+ revenue and 600M+ impressions. The A$20M+ revenue influenced figure applies across my portfolio.
The product combined AI matching, vendor discovery, and content personalisation into a single platform — shipped iteratively with a lean cross-functional team based in Sydney.
Read the full Wedded Week case study →What clients say
“Anim brought the strategic clarity and hands-on delivery we needed to move fast. He understood our AI product from day one, aligned the team on priorities, and shipped features that actually drove outcomes. Working with him felt like having a senior PM who had done this before — because he had.”
Engagement models
Choose a model that fits your stage: fractional AI Product Manager/Product Owner for ongoing embedded support, focused product sprint leadership for a defined milestone, or ongoing advisory for growth and roadmap execution.
Fractional PM/POProject-based consulting0→1 launch supportAI roadmap acceleration
FAQs
Can you work with teams outside Sydney?
Yes. I am based in Sydney and work with teams across Australia and globally through remote and hybrid engagement models.
What kind of products do you help build?
I help teams launch and scale AI-powered products, marketplaces, workflow automation tools, and 0→1 digital products with clear business outcomes.
What engagement models are available?
You can engage me as a fractional AI Product Manager/Product Owner, project-based advisor, or short-term product acceleration lead.
How quickly can you start?
Most engagements begin within one to two weeks. The first step is a 30-minute discovery call where we align on your product stage, team structure, and what PM coverage you need. From there I put together a short scope document and we agree on a start date — usually within days.
What does a fractional AI PM engagement cost?
Engagements are typically structured as a monthly retainer scoped to 10–20 hours per week. This is significantly below the cost of a full-time senior PM in Sydney when you factor in salary, superannuation, and recruitment fees. Specific rates are discussed during the scoping call based on hours, scope, and engagement type.
How is an AI Product Manager different from a regular Product Manager?
An AI Product Manager brings the same core product skills — discovery, prioritisation, backlog ownership, stakeholder alignment — plus deep familiarity with how AI systems behave. That means understanding LLMs, embeddings, model evaluation, and how to define AI features so engineers can actually build them. Without that AI domain knowledge, a generalist PM will slow your team down, not speed it up.
Need an AI Product Manager or Product Owner in Sydney?
Book a 30-minute discovery call — we align on your product stage, goals, and whether we are the right fit.
No commitment. You will leave with clarity on your next product priorities regardless of whether we work together.