Product Analyst

We're hiring a Product Analyst (Growth & Opportunity)

Summary

• Flexible Title: Can tailor to reflect your skills & experience.
• Flexible Time: Can do full-time, part-time, side-gig (off-hours), or fractional (contract).
• Flexible Commitment: Can do short-term, long-term, or intermittent.

Why so flexible? We're a FUNDED startup racing to launch end of Q2 2026. That gives us just 3 months to stack features while raising additional working capital. Feel free to jump in, help us ship, then bounce >> or stick around. A successful launch translates into lots of permanent jobs for those that want them. We're also interested in long term "side gig" relationships, if that's what you're into - in our experience, a few expert hours often beat full-time learning-curve hours.

About Us

We're a credible, funded, remote-first startup led by a serial [technical] founder, and backed by a 20-person team. The product is live in private alpha.

Learn more about our founder, team, and comp structures at list-lab.org.

About The Role

This is not a product manager role. We're not looking for someone to write PRDs, run standups, or babysit a backlog. We're looking for the person who figures out what we should build next — using real signals, not opinions.

You run experiments, not meetings. You turn user behavior, market dynamics, and competitive landscape into product direction that the team can act on. You understand what motivates people — the incentives, psychology, and friction that drive real behavior — and you can apply that thinking across industries to anticipate how users will act before they do. You're closer to a quant or an operator than a traditional PM — someone who finds leverage, surfaces the opportunities that matter, and makes it obvious where to focus.

You won't manage engineers. You'll influence what they build by giving them something most teams never have: a clear, evidence-based picture of what matters most right now and why.

This role works closely with the founder and engineering leadership. You're the person who makes sure we're building the right thing — not just building things right.

If your background is primarily writing feature specs and attending sprint ceremonies, this likely isn't a fit. If you've shaped product direction through research, data, and experimentation — and you've been right more often than not — keep reading.

Compensation

Up to $300,000 max total compensation in Tier 1 cities; cash and equity components to be negotiated (amount reflects combined cash and equity components).

What Success Looks Like in 30 Days

• You've identified at least one high-leverage opportunity the team wasn't seeing — backed by evidence, not intuition alone
• You've established a lightweight system for continuously capturing and synthesizing signals from users, competitors, and the market
• Engineering and product leadership are using your analysis to make real prioritization decisions
• You can articulate our biggest product risks and opportunities clearly enough that the founder can act on them immediately
• You're already using AI tooling to accelerate research, analysis, and synthesis — and it's visibly compressing your cycle time

What You'll Do

• Find the opportunities that matter — conduct market research, analyze user behavior, study competitors, and surface the insights that should change what we build next
• Run experiments, not meetings — design and execute lightweight tests that validate or kill ideas before engineering invests heavily. You're hypothesis-driven and allergic to building on assumptions
• Turn signals into direction — synthesize messy, incomplete information from multiple sources into clear recommendations the team can act on. You don't just report findings — you make the call on what they mean
• Shape prioritization — work with the founder and engineering leadership to ensure the roadmap reflects the highest-leverage opportunities, not just the loudest requests
• Understand the user deeply — talk to users, study their behavior, map their workflows. You build empathy through evidence, not personas
• Think in incentives and motivation — understand why people do what they do — what drives adoption, what creates friction, what makes someone come back
• Monitor the landscape — track competitive moves, market shifts, and adjacent opportunities so we're never surprised and al