$70-$160/hr product management work, on your schedule
Review AI-generated PRDs, prioritization, and product strategy the way you'd review a PM on your team. Flag the feature chasing a non-problem, the metric that'll be gamed, the scope that ignores the constraint. The judgment that ships products people want is exactly what AI labs need.
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Hi, we're Zac and Jack, the founders of Terac. We want to talk to you directly, because you are the most important part of what we're building.
Terac is a community of experts. People who have spent years getting good at something specific and hard. The world is about to need more of you, not less. As AI takes on more of the world's work, the bottleneck shifts to the people who actually know what they're talking about.
Expert labor is the rarest resource in the world right now, and it is shockingly hard to find. The companies that need a senior PM's eye on a PRD that solves the wrong problem spend weeks chasing people, paying placement fees, and settling for whoever is available. Meanwhile thousands of qualified people are sitting with knowledge that no one ever asks for.
That gap is what we're here to close. Every project that lands on Terac is routed to the people who actually know the answer, on their schedule, paid fairly, and only when the work is verified. No middleman taking a cut of your time. No vague gigs. No chasing checks.
We care about every single person in this community. If you join Terac, you're not a row in a database to us. We read the feedback. We answer the emails. We will fight for you when a customer is being unreasonable, and we will be honest with you when something on our side is broken. The quality of this panel is our entire company, and we owe you a serious bar.
If you've made it this far, here is what we're asking: claim your profile. Put your expertise on the record. Let the world's most ambitious teams come find you for the work only you can do.
Product Management questions
Still curious? Write to us at support@terac.com.
B2B SaaS and platform product experience is among the most requested, particularly for evaluating AI outputs around API product strategy, developer experience, and enterprise roadmap prioritization. Consumer product specialists are equally valuable for tasks involving growth loops, retention modeling, and jobs-to-be-done frameworks. Your specific vertical sharpens your usefulness rather than limiting it.
Typical tasks include evaluating AI-generated PRDs, critiquing opportunity assessments and prioritization frameworks like RICE or WSJF, reviewing user story maps, and assessing whether AI-produced competitive analyses reflect how a senior PM would actually reason about the space. You may also be asked to produce worked examples showing how you would structure a product strategy document or a discovery brief, so the model can learn from your reasoning process.
Certifications like PSPO, SAFe POPM, or the Pragmatic Institute PMC are useful signals of your background and may be used to match you to tasks involving agile delivery frameworks or market-driven product strategy, but they are not hard requirements. What matters most is that you can demonstrate how a practiced PM reasons through ambiguous tradeoffs, not that you hold a specific credential.
No. Tasks are constructed around hypothetical scenarios, synthetic product briefs, or publicly available information, and you are never asked to input or evaluate anything derived from your current employer's proprietary roadmap, user data, or internal tooling. If a prompt ever appears to solicit that kind of information, you should flag it and skip it.
Working on AI products does not disqualify you and is not treated as a conflict of interest. The evaluation tasks focus on product craft, such as how well an AI structures a discovery process or reasons about user needs, rather than on assessing any specific commercial model or vendor. You should apply the same professional judgment you would use reviewing any junior PM's work, and flag tasks where you feel your current employment creates a genuine bias.
Why your expertise matters
Product management judgment is one of the hardest cognitive skills for AI to replicate because it sits at the intersection of user evidence, technical feasibility, and business tradeoff - rarely written down and rarely reducible to a rule. Frontier AI labs building coding assistants, planning tools, and enterprise copilots need experts who can tell them when a generated PRD solves the wrong problem, when a prioritization rationale is circular, or when a spec ignores the constraint that would kill the feature in sprint two. Without practicing PMs grading that work, models learn to produce confident-sounding output that any experienced PM would reject in their first read.
How pay works
Pay within the $70-$160/hr band reflects the depth and specificity of your domain: PMs who have shipped in high-complexity spaces (platform infrastructure, B2B enterprise, regulated industries, or marketplace two-sided dynamics) consistently reach the top of the range, as do those who can walk through multi-quarter roadmap reasoning or defend prioritization against hostile stakeholder conditions in a conversational interview. All work is fully remote and paid on verified completion - you are compensated for the session, not for the signup.
What the work looks like
A sample of the product management work you would pick up. Every project is scoped, remote, and paid on verified completion.
- Review an AI-generated PRD for a checkout redesign and flag every instance where the stated problem, proposed solution, and success metric are misaligned.
- Evaluate an AI-produced feature prioritization stack for a SaaS roadmap and identify where RICE scores have been gamed or assumptions are untested.
- Walk through a discovery interview transcript generated by AI and annotate which questions are leading, which miss the underlying job-to-be-done, and how you would have redirected.
- Assess an AI-generated go-to-market spec for a new API product and identify the places where technical constraints on adoption have been ignored.
- Write a worked example showing how you would scope, size, and sequence a platform migration that affects three downstream teams with conflicting timelines.
- Read an AI-generated executive narrative for a quarterly roadmap review and rewrite the tradeoff section to reflect the actual reasoning a staff PM would surface.
Specialties we match
Product Management projects span a wide range of focus areas. Tell us where you go deep and we route the work that fits.
- PRD writing and critique
- Opportunity sizing and market validation
- Jobs-to-be-done frameworks
- OKR and metric design
- RICE and ICE prioritization
- Roadmap sequencing and dependency mapping
- Discovery and continuous interview methods
- Stakeholder alignment and executive narrative
- Platform and API product management
- Feature flagging and staged rollout
- B2B enterprise PM
- Marketplace and network-effects product
