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    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+ revenue track record — available immediately, without the cost and delay of a permanent hire.

    $20M+

    Revenue influenced across product launches

    1B+

    Impressions generated through product and growth execution

    12+

    Products launched from 0 to 1 across multiple sectors

    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

    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.

    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.

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