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.
Product Analyst (Growth & Opportunity) – Flexible Title & Commitment
Location
United States
Posted
52 days ago
Salary
PEN1 - PEN300,000,000K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Product Analyst (Growth & Opportunity) – Flexible Title & Commitment
59 Pines
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 always positioned to move first - Communicate with clarity — present findings and recommendations at an executive level. You write clearly, visualize data effectively, and make complex trade-offs easy to understand - Leverage AI as a research multiplier — use AI tooling to accelerate market research, competitive analysis, data synthesis, and hypothesis generation What We're Looking For - Signal finder, not spec writer — you've shaped product direction through research and analysis, not just documented requirements. You know how to find the insight in the noise - Experiment-driven — you default to testing, not debating. You've designed and run experiments that changed what a team built — whether A/B tests, user interviews, market analyses, or prototype validations - Quantitative and qualitative range — you're comfortable with data analysis and user research. You can pull insights from a spreadsheet and a conversation with equal confidence - Early and avid AI adopter — you're already using AI tooling to move faster — research, synthesis, analysis, writing. You see it as a natural extension of how you think, not a novelty - Product instincts grounded in behavioral thinking — you understand incentives, motivation, and friction well enough to predict how users will respond — across industries, not just one domain. You have a sense for what will work before the data confirms it - Clear communicator — you can explain a complex opportunity or risk to the founder in two minutes. You write well, you present well, and you don't hide behind jargon - Startup fluency — you've worked in environments where the data is messy, the user base is small, and you have to triangulate from imperfect sources. You find that energizing, not frustrating - Independent operator — you don't need a manager to tell you what to research next. You see gaps, form hypotheses, and go after answers Nice to Have - Experience in an analyst, product strategy, or growth role at an early-stage startup - Background in marketplace, network, or platform products where user dynamics were complex - Experience working directly with a founder or executive team to shape product direction - Comfort with SQL, analytics tools, or data platforms — enough to self-serve, not necessarily to build pipelines - Track record of killing bad ideas early — saving engineering time by disproving assumptions before they became features - Experience synthesizing competitive intelligence into actionable product strategy - Cross-industry experience — you've worked across multiple verticals or user types and can transfer behavioral insights between them
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