G-P
Principal Product Manager
United States (Remote-First) · Principal · Full-time
Sponsorship not specified$170k-$206kDetected 49 days ago
Data AnalysisLLMsAgentic AIAI OrchestrationResearch
About the role
- Our diverse, remote-first teams are essential to our success.
- We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.
- The work you do here will positively impact lives around the world.
Responsibilities
- Extreme Product Ownership: Drive the end-to-end H3 discovery process-framing the jobs-to-be-done (JTBD), building prototypes, and managing low-fidelity experiments.
- Gather Customer Insights: Talk to target users, alpha participants, and industry edge-cases constantly. Build deep qualitative empathy to uncover latent human needs from real workflows, not feature requests.
- Defend Horizon 3 Boundaries: Maintain a disciplined focus on radical innovation, calling out and rejecting ideas that are merely incremental optimizations.
- Agentic AI Fluency: You leverage modern AI primitives daily (e.g., Cursor agents, LLM orchestration) and treat AI as a structural foundation to build products.
- Drive the end-to-end H3 discovery process-framing the jobs-to-be-done (JTBD), building prototypes, and managing low-fidelity experiments.
- Build deep qualitative empathy to uncover latent human needs from real workflows, not feature requests.
- Maintain a disciplined focus on radical innovation, calling out and rejecting ideas that are merely incremental optimizations.
- You leverage modern AI primitives daily (e.g., Cursor agents, LLM orchestration) and treat AI as a structural foundation to build products.
Requirements
- 0-to-1 Product Chops: A proven track record of taking raw ideas from concept to early product-market fit, running discovery, and turning qualitative data into immediate execution.
- You develop mid-fidelity prototypes independently when required without a designer.
- Core Data Analysis Skills: Exceptional ability to work with fragmented usage data, behavioral metrics, and qualitative research to generate fast insights.
Nice to have
- Past Founder or Co-Founder: Experience starting a venture-backed company or acting as the first product hire at an early-stage startup.
- Complex Systems Exposure: Experience navigating fintech, marketplaces, web3, or heavily regulated global compliance frameworks.
- Our ranges are established using objective market benchmarking data for this level of work.
- Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role.
- For Full-Time Regular Employees, this position is also eligible for additional compensation as follows:
Skills
- Exceptional ability to work with fragmented usage data, behavioral metrics, and qualitative research to generate fast insights.
- Opportunity Made Possible.
- About The Position
Compensation
- Experience navigating fintech, marketplaces, web3, or heavily regulated global compliance frameworks.
- The annual gross base salary range for this position is $170,000 - $206,000 plus variable compensation.
- Our ranges are established using objective market benchmarking data for this level of work.
- Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role.
- Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location.
- For Full-Time Regular
Benefits
- G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time
- This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.
- Run Behavioral Probes: Collaborate with your Engineering counterpart to ship weekly "sketchy V0s" and fake-door experiments rather than scalable V1s, optimizing for speed of validated learning.
- Manage by Learning Milestones: Obsess over a strict succession of metrics before considering delivery economics or monetization.
Company info
- Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we're dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.
- Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.
- The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.
- At G-P, we assist organizations in building exceptional global teams in days, not months-streamlining the hiring, onboarding, and management process to unlock growth potential for all.
- Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities.
- At G-P, we're dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.
- We stand by our promise: Opportunity Made Possible.
- In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.
- We are building G-P's Horizon 3 (H3) Discovery Engine-an autonomous unit unconstrained by existing corporate assets, designed to explore radical macroeconomic shifts and AI-agent economies.
- This isn't an internal strategy team or a think tank; it is an agile builder pod that shifts code, breaks assumptions, and runs fast, low-fidelity experiments to find product market fit.
This listing is sourced directly from G-P's careers page and normalized into a canonical job model.