# Fractional AI PM vs Full-Time Hire: Which One Does Your Startup Need? The decision between a fractional AI PM and a full-time hire comes up in almost every early-stage AI startup I work with. The instinct is often to go full-time — it feels more committed, more "serious." But the instinct is usually wrong for the stage most of these teams are actually at. Here is a clear framework for making this decision. ## When Full-Time Is the Right Call A full-time AI PM is the right hire when all three of these are true: **1. You have consistent, high-volume PM work.** If there is 40+ hours per week of genuine product management work — not just backlog administration, but real strategy, discovery, and delivery leadership — then a full-time PM is cost-effective. **2. You have a stable product direction.** Full-time hires make sense when the product vision is clear enough that you can write a job description that describes the role accurately 12 months from now. If the strategy is still in flux, a full-time hire will be learning the role just as the role is changing. **3. You are post-Series A with predictable revenue.** At this stage, the cost of a full-time senior PM ($185K+ all-in) is a manageable investment relative to the product outcomes you are trying to drive. Pre-Series A, it is often too expensive relative to the leverage it creates. If all three are true, hire full-time. The embedded presence, the organisational continuity, and the full-time focus are worth the cost. ## When Fractional Is the Right Call A fractional AI PM is the right model when: **You need senior expertise but cannot justify the salary.** Pre-seed and seed-stage companies often need real product leadership — someone who has done this before, who can make good decisions under pressure, who can run a proper discovery process. But a $200K annual salary is not compatible with an 18-month runway. Fractional gives you the expertise at a fraction of the cost. **Your PM needs are variable.** Some months you are in heavy build mode — 20 hours of PM support per week. Other months you are in maintenance mode — 8 hours is plenty. A fractional engagement scales with your roadmap. A full-time hire does not. **You are defining the role, not filling it.** If you are not sure what an AI PM should own in your specific company, a fractional engagement is the fastest way to find out. Three months of fractional work will tell you more about what the role should look like than three months of interviewing. **You have a specific near-term milestone.** A fundraise, a product launch, a pilot programme — these create a defined window of intense product need. Fractional is a better fit for milestone-driven work than hiring a full-time PM who will have a different job once the milestone is past. ## The Cost Comparison The all-in cost of a senior AI PM in Australia: - Base salary: $160,000–$200,000 - Superannuation (11%): $17,600–$22,000 - Leave entitlements: ~$15,000–$20,000 - Recruitment (15–20% of salary): $24,000–$40,000 - **Total first-year cost: $216,000–$282,000** Plus 3–6 months to source, interview, and onboard — during which your product is understaffed. A fractional AI PM engagement at 15 hours per week typically costs significantly less than the equivalent full-time all-in cost, with no recruitment lag, no onboarding ramp-up, and the flexibility to adjust hours as your roadmap changes. ## The Hybrid Path The model I see work best for most startups: fractional now, full-time when you are ready. A 3–6 month fractional engagement establishes the product process, builds the roadmap, and defines what the full-time PM role actually needs to look like. When you are ready to hire full-time, you have a precise job description built on real execution — not guesswork — and a much shorter time to hire because you know exactly what you are looking for. I often support the transition directly: helping write the JD, assessing candidates, and handing off to the incoming full-time PM with full context on the product, the team, and the roadmap decisions made during the engagement. If you are trying to make this decision for your team, [get in touch](/contact) for a 30-minute call. We will figure out the right model for your stage together.