Overview
TL;DR : As our Founding Product Manager, you’ll own core parts of the product that power this experience end-to-end: how teams ask questions, how AI designs and runs research, and how insights are synthesized and delivered into decision-ready outputs. You’ll operate in a true 0 to 1 environment, partnering closely with engineering, design, research, and GTM to turn an ambitious vision into a scalable, compounding product. This is a high-ownership role for someone excited to build a foundational product surface area at the intersection of AI, customer research, and real-world decision-making. Background : Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours, not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights : product-led company highlights include world-class team, hypergrowth, traction, performance, market validation, and a viral product that supports PLG and organic expansion. Technical Challenges
McKinsey On Demand : Building a research agent. Hiring McKinsey is different than buying software. We build Listen with that perspective: You have an AI agent on your side that knows everything about our platform and the best research practices. It helps you set up your project, conduct interviews with your goals in mind, and analyze thousands of responses. Database of Humanity : We are building a database of millions of humans. This enables finding people with unmatched accuracy and, in the long run, extrapolating what a person would say based on all previous conversations. Realtime Video Interviews : The next version of our AI interviewer will have emotional understanding of video and voice to read between the lines, making interviewers more nuanced and effective. Distributed Information Mining : We build an agent that finds the right people to talk to, asks the right questions, and returns a report and actionable recommendations. Customer Preference Model & Synthetic Personas : Building profound understanding of customers to extrapolate to new questions via synthetic personas, involving complex modeling of human behavior and decision-making processes. What You’ll Do
Self-Serve Growth Own the evolution of Listen’s self-serve motion alongside our enterprise business Define high-leverage self-serve use cases and ideal customer journeys Identify friction across onboarding, activation, and usage Drive product changes that unlock a scalable path to $[XX]M+ in self-serve revenue Participant Panel Build and scale Listen’s participant network so researchers consistently talk to the right people Design systems for participant acquisition, retention, and quality Develop matching logic to ensure the best-fit participants for each research project Improve the reliability and speed of access to high-quality research participants Core Product Delivery & Prioritization Help us evolve beyond founder-led product development through sharper prioritization Deeply understand customer needs and translate them into clear product bets Organize and synthesize inbound requests across customers and internal teams Set sequencing and tradeoffs to maximize impact Implement lightweight product processes that increase velocity without adding bureaucracy Who You Are
Entrepreneurial and independent: Thrives in ambiguity and thrives when building from scratch. Experienced: Typically 5–8+ years in product management, startup/early-stage experience, with a track record of launching successful products. Founder background or strong ownership experience is a plus. Technically fluent: Comfortable working closely with engineering teams; ability to understand and synthesize technical tradeoffs. Technical degrees or equivalent experience strongly preferred. Data-driven and user-centric: Uses metrics, experimentation, and user insight to guide decisions while balancing long-term strategy with short-term learning. Excellent communicator: Effectively aligns internal teams and presents strategy to stakeholders across engineering, research, leadership, and external partners. Flexible and curious: Quick learner comfortable navigating evolving product domains such as AI, data pipelines, dev tools, or RL environments. What You’ll Bring
Strong strategic thinking paired with practical execution skills. Proven ability to take ownership and drive broad outcomes with limited structure. A passion for building products with real impact and a bias for action. Life at Listen Labs
Competitive Compensation: We’re backed by world-class investors, including Sequoia Capital and others, offering competitive compensation packages with meaningful equity ownership. Benefits that Support You: Comprehensive healthcare and dental coverage, flexible time off to recharge, and an environment that values balance and trust. Room to Grow: As an early member of the team, you’ll have the opportunity to take on new responsibilities, shape processes from scratch, and grow alongside the company.
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TL;DR : As our Founding Product Manager, you’ll own core parts of the product that power this experience end-to-end: how teams ask questions, how AI designs and runs research, and how insights are synthesized and delivered into decision-ready outputs. You’ll operate in a true 0 to 1 environment, partnering closely with engineering, design, research, and GTM to turn an ambitious vision into a scalable, compounding product. This is a high-ownership role for someone excited to build a foundational product surface area at the intersection of AI, customer research, and real-world decision-making. Background : Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours, not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights : product-led company highlights include world-class team, hypergrowth, traction, performance, market validation, and a viral product that supports PLG and organic expansion. Technical Challenges
McKinsey On Demand : Building a research agent. Hiring McKinsey is different than buying software. We build Listen with that perspective: You have an AI agent on your side that knows everything about our platform and the best research practices. It helps you set up your project, conduct interviews with your goals in mind, and analyze thousands of responses. Database of Humanity : We are building a database of millions of humans. This enables finding people with unmatched accuracy and, in the long run, extrapolating what a person would say based on all previous conversations. Realtime Video Interviews : The next version of our AI interviewer will have emotional understanding of video and voice to read between the lines, making interviewers more nuanced and effective. Distributed Information Mining : We build an agent that finds the right people to talk to, asks the right questions, and returns a report and actionable recommendations. Customer Preference Model & Synthetic Personas : Building profound understanding of customers to extrapolate to new questions via synthetic personas, involving complex modeling of human behavior and decision-making processes. What You’ll Do
Self-Serve Growth Own the evolution of Listen’s self-serve motion alongside our enterprise business Define high-leverage self-serve use cases and ideal customer journeys Identify friction across onboarding, activation, and usage Drive product changes that unlock a scalable path to $[XX]M+ in self-serve revenue Participant Panel Build and scale Listen’s participant network so researchers consistently talk to the right people Design systems for participant acquisition, retention, and quality Develop matching logic to ensure the best-fit participants for each research project Improve the reliability and speed of access to high-quality research participants Core Product Delivery & Prioritization Help us evolve beyond founder-led product development through sharper prioritization Deeply understand customer needs and translate them into clear product bets Organize and synthesize inbound requests across customers and internal teams Set sequencing and tradeoffs to maximize impact Implement lightweight product processes that increase velocity without adding bureaucracy Who You Are
Entrepreneurial and independent: Thrives in ambiguity and thrives when building from scratch. Experienced: Typically 5–8+ years in product management, startup/early-stage experience, with a track record of launching successful products. Founder background or strong ownership experience is a plus. Technically fluent: Comfortable working closely with engineering teams; ability to understand and synthesize technical tradeoffs. Technical degrees or equivalent experience strongly preferred. Data-driven and user-centric: Uses metrics, experimentation, and user insight to guide decisions while balancing long-term strategy with short-term learning. Excellent communicator: Effectively aligns internal teams and presents strategy to stakeholders across engineering, research, leadership, and external partners. Flexible and curious: Quick learner comfortable navigating evolving product domains such as AI, data pipelines, dev tools, or RL environments. What You’ll Bring
Strong strategic thinking paired with practical execution skills. Proven ability to take ownership and drive broad outcomes with limited structure. A passion for building products with real impact and a bias for action. Life at Listen Labs
Competitive Compensation: We’re backed by world-class investors, including Sequoia Capital and others, offering competitive compensation packages with meaningful equity ownership. Benefits that Support You: Comprehensive healthcare and dental coverage, flexible time off to recharge, and an environment that values balance and trust. Room to Grow: As an early member of the team, you’ll have the opportunity to take on new responsibilities, shape processes from scratch, and grow alongside the company.
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