Growth Product Managers: $70-$160/hr from AI Labs

Open application· 64 spots this round

$70-$160/hr growth product work, on your schedule

Review AI-generated experiments, funnel analyses, and growth strategy the way you'd review them before a launch decision. Flag the test that's underpowered, the metric that moves for the wrong reason, the funnel fix that just shifts the drop-off. The judgment that drives real, durable growth is what AI labs need.

Fully remoteYour scheduleWeekly pay

Apply nowApply once, get matched on a rolling basis. No prior AI experience needed.

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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 growth PM's eye on an experiment that won't be conclusive 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.

Zac & Jack

Founders

Growth Product questions

Still curious? Write to us at support@terac.com.

Yes. Terac needs experts across the full growth spectrum, including enterprise-motion SaaS where the funnel runs through sales-assisted expansion, usage-based triggers, and account-level activation rather than self-serve virality. Reviewers with B2B experience are particularly valuable when evaluating AI outputs on topics like PQL scoring, expansion revenue modeling, and sales-product alignment - areas where consumer-focused frameworks frequently break down.

Some tasks involve critiquing AI-generated analyses, experiment designs, or lifecycle campaigns that reference specific growth tooling, so familiarity with common platforms strengthens your reviews. You do not need certified or current access to every tool; what matters is that you can identify whether the AI's reasoning about funnel instrumentation, cohort retention curves, or multi-channel sequencing is technically sound. Gaps in tool-specific knowledge can be noted as part of your review rather than treated as disqualifying.

Reforge completion is a recognized signal of structured growth training and is listed as a qualifying credential when you apply. It is treated similarly to other practitioner certifications like the Product-Led Growth certification from ProductLed. What matters for task assignment is the depth of your applied experience in areas like north star metric design, growth accounting, or activation experiments, not the credential alone.

The scope covers the full growth surface, including monetization levers like packaging, paywall design, trial conversion optimization, and expansion revenue - not just top-of-funnel acquisition. You can indicate your strongest sub-domains during onboarding, and the platform will weight your task queue accordingly. Reviewers with deep monetization or retention expertise are in demand because those areas tend to be underrepresented relative to acquisition-focused generalists.

The work does not ask you to endorse, certify, or distribute AI outputs as authoritative guidance, so there is no conflict with practitioner frameworks from ICAgile, SVPG, or similar bodies. Your role is evaluative: you assess whether the AI's reasoning about growth strategy, experimentation design, or product analytics is sound, flag errors, and explain what a qualified practitioner would do differently. That is consistent with the professional obligation to apply your expertise critically rather than rubber-stamp outputs.

Why your expertise matters

Growth product management sits at the intersection of quantitative experimentation, behavioral psychology, and product intuition - a combination that AI models consistently struggle to replicate accurately. When a model reasons about A/B test design, activation funnel optimization, or viral coefficient mechanics, it needs calibration from practitioners who have actually shipped growth loops, interpreted noisy experiment results, and made hard calls about statistical significance versus business reality. Your ability to spot when an AI recommendation would cause an engagement metric to rise while destroying long-term retention is exactly the kind of judgment that makes training data valuable.

How pay works

Compensation toward the top of the $70-$160/hr band goes to practitioners with hands-on experience running high-velocity experimentation programs, owning north-star metrics at scale, or working across PLG (product-led growth) motions where activation and monetization intersect. All work is fully remote and asynchronous - you pick up tasks when your schedule allows, and payment is released after a Terac reviewer confirms the work meets quality standards, not on a time-based clock-in.

What the work looks like

A sample of the growth product work you would pick up. Every project is scoped, remote, and paid on verified completion.

Review an AI-generated A/B test design for a SaaS onboarding flow and flag where the holdout group definition would contaminate results or underpower the test.
Evaluate a model-written growth strategy memo for a B2C app and annotate where the recommended activation triggers are misaligned with typical new-user motivation patterns.
Create a worked example showing how you would diagnose a sudden drop in week-2 retention using cohort analysis in Amplitude, explaining each diagnostic step as you would to a junior PM.
Rate a set of AI-generated experiment hypothesis statements on specificity, measurability, and whether the proposed metric actually captures the intended behavior change.
Write a reference explanation of how viral coefficients compound over time, correcting a model output that conflated invitation send rate with invitation acceptance rate.
Assess an AI-drafted pricing page copy variant and identify where the framing would likely suppress conversion for price-sensitive SMB buyers based on standard loss-aversion principles.