Hire an AI Product Manager
Not all product managers are built for AI products. If you are building with LLMs, shipping AI-powered features, or trying to bring a new AI product to market, you need a PM who understands both the technology and the product craft. That is what I bring — available for fractional, contract, and project engagements across Australia.
What to look for when hiring an AI PM
The best AI PMs combine three things: genuine AI literacy, strong product fundamentals, and a delivery track record. AI literacy means understanding how LLMs, embeddings, and AI systems actually behave — not just buzzwords. Product fundamentals mean discovery, prioritization, backlog ownership, and stakeholder alignment. And a delivery track record means products shipped, revenue influenced, and teams led through ambiguity to outcomes.
Common hiring mistakes include prioritizing engineering background over product thinking, hiring generalist PMs who learn AI on the job (expensive and slow), or using traditional placement agencies who do not understand what AI PM work actually involves.
Working with Anim is different: you get a PM who has shipped AI products, led cross-functional teams, and built A$20M+ in revenue influenced across the portfolio — available immediately, without the cost and delay of a permanent hire.
A$20M+
Revenue influenced across product launches
1B+
Wedded Week cumulative impressions
How the engagement works
- Discovery call: align on your product stage, team structure, goals, and what PM coverage you need
- Scope and proposal: a short written brief covering hours, deliverables, and engagement structure — agreed within days
- Kick-off sprint: deep-dive into your product, users, and roadmap — map the landscape and identify the first priorities
- Ongoing delivery: weekly sprints, backlog ownership, stakeholder communication, and measurable progress toward outcomes
- Outcomes review: regular check-ins to assess delivery, adjust scope, and plan the next phase of the roadmap
Engagement stages
Every engagement follows a clear path from first conversation to delivery — transparent, fast, and built around your specific product stage and needs.
Discovery callScope & proposalKick-off sprintOngoing deliveryOutcomes review
What the 30-minute call covers
The discovery call is not a sales pitch. It is a structured conversation designed to give you clarity on your product situation and whether an AI PM engagement is the right next step. Here is what we cover:
- Your product stage: Where you are today — idea, MVP, live product, or scaling — and what the next meaningful milestone looks like
- Your team structure: Who is on the team, what roles exist, and where the PM gaps are slowing delivery
- The AI angle: Whether and how AI fits into your product roadmap — and where it creates real leverage versus where it adds noise
- Engagement fit: Whether fractional, project-based, or advisory is the right model for your stage and budget
- Immediate priorities: The two or three product decisions or actions that would have the most impact in the next 30 days
You leave with clarity on your product priorities — whether we work together or not.
Why not just hire a generalist PM?
Generalist PMs are trained to run processes — discovery, prioritisation, delivery — but they often lack the domain knowledge to make good decisions about AI products. They learn on the job, which is expensive when AI development is already moving fast.
Common failure modes with generalist PMs on AI products: shipping features that cannot be reliably evaluated, writing requirements that engineers cannot build against, underestimating latency and reliability tradeoffs in LLM features, and treating AI as a feature layer on top of a traditional product rather than a different product paradigm altogether.
Working with an AI-native PM from the start avoids these failure modes. You move faster, make better bets, and ship products that actually work as intended — with outcomes your team can measure.
FAQs
What makes a good AI Product Manager?
A strong AI PM combines three things: AI literacy (understanding how LLMs, models, and AI systems actually work), core product fundamentals (discovery, prioritization, delivery, and stakeholder alignment), and a delivery track record (products shipped, revenue influenced, teams led). The common hiring mistake is prioritizing technical depth over product thinking — or vice versa. The best AI PMs translate between engineering and business, own outcomes end to end, and bring both strategic clarity and hands-on execution.
How long does it take to get started?
Once we agree on scope, a typical engagement starts within 1–2 weeks. The first step is a discovery call to understand your product, team, and goals. From there I put together a short scope and proposal, and we kick off with a structured onboarding sprint. Most clients are in active delivery by week two.
What does the onboarding process look like?
Onboarding starts with a deep-dive into your product, users, tech stack, and existing roadmap. I map the stakeholder landscape, review any existing documentation, and run a discovery session with the founding team or key leads. By the end of week one I have a clear picture of where the product is and what needs to happen next. Week two begins delivery — backlog grooming, sprint planning, and getting into the work.
What are the rates and how does billing work?
Engagements are typically structured as a monthly retainer for fractional and ongoing work, or a fixed fee for defined project sprints. Rates reflect senior AI PM expertise and are structured to be competitive against the true cost of a full-time PM hire in Australia. All invoicing is straightforward with standard Australian payment terms. Specific rates are discussed during the scoping call based on hours, scope, and engagement type.
Do you work with teams outside Australia?
Yes. I am based in Sydney but work with teams across Australia, the UK, USA, and globally through remote and hybrid engagement models. Time zone overlap is straightforward for Australian and Asian markets, and I have experience working asynchronously with teams in Europe and North America.
Can you help us define what an AI PM role should look like before we hire one full-time?
Yes — this is one of the most common reasons teams engage me. A fractional engagement gives you a working model of what an AI PM actually does in your specific context, which makes the eventual full-time hire much more targeted. I can help write the job description, define success metrics, and assess candidates based on what you actually need rather than a generic PM profile.
Ready to hire an AI Product Manager?
Start with a discovery call — no commitment, just a clear conversation about your product and whether we are the right fit.