G2 - Principal Product Manager, Buyer Products
Requirements
• We realize applying for jobs can feel daunting at times. Even if you don’t check all the boxes in the job description, we encourage you to apply anyway. • 10+ years of product management experience, including Principal- or lead-level ownership of a major consumer-facing product. • B2B SaaS experience, with a clear understanding of how buyers research, evaluate, and purchase software and how vendors go to market. • A GM mindset. You have owned a P&L, a business line, or a growth number, and you make decisions on business impact. • A record of shipping consumer-grade products at scale: growth, personalization, search and discovery, or marketplace experiences where the product had to earn adoption on its own. • 0-to-1 experience. You have launched or scaled a new product or category from concept through growth. • Strong product taste and craft. You can critique a design, set a quality bar, and know the difference between good and finished. • Fluency with data and experimentation. You use metrics, A/B tests, and closed-loop reporting to make high-stakes decisions. • AI-native working style. You use AI tools daily to research, prototype, analyze, and ship, and you have a point of view on how AI changes discovery and evaluation. • Excellent written and verbal communication, and the ability to influence senior stakeholders in ambiguous environments. • WHAT CAN HELP YOUR APPLICATION STAND OUT: • Experience with a two-sided marketplace, review or UGC platform, media or content-led product, or a data and insights product. • Experience growing logged-in or registered user bases and building lifecycle, personalization, or recommendation systems. • Experience designing for AI assistants, agents, or MCP and similar integrations. • Our Commitment to Inclusivity and Diversity • At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here https://culture.g2.com/commitments. • For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice https://legal.g2.com/applicant-privacy-notice before applying to this job. • How We Use AI Technology in Our Hiring Process • G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment. • Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team. • For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice https://legal.g2.com/applicant-privacy-notice.
Responsibilities
• Strategy and Roadmap • Own the product vision, roadmap, and operating metrics for Buyer Products. Make clear bets, sequence them, and say what we will not build. • Start from the buyer. Obsess over what helps someone make a confident software decision, and treat their trust as the long-term asset. • Make business tradeoffs when they matter. Understand how the buyer experience supports G2's business, and work with Marketing, Sales, Finance, and monetization teams to balance buyer value against revenue. • Lead discovery, define requirements, and drive delivery with Engineering and Design. Prototype, write specs, and ship changes yourself with AI-native tools where it creates speed. • Run a high-cadence experimentation program. Define hypotheses, read results, and make ship, iterate, or kill decisions quickly with Data Science and Analytics. • Work in small, AI-enabled squads with a bias toward shipping and learning over planning. • Be the company's expert on how buyers research and evaluate software, including how AI assistants change that process. Run continuous qualitative and quantitative research, including with senior buyers. • Translate buyer signals into product decisions and a clear narrative for the executive team. • Align Product, Engineering, Design, Data, Marketing, and Revenue teams around one buyer strategy. • Mentor PMs, help set the hiring bar, and shape how the PM organization operates.
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