Senior AI Product Builder, G2

• 6+ years of experience spanning product management, software engineering, and/or product design, with demonstrated strength across at least two of the three
• Proven track record building and shipping AI-powered products (LLM integrations, AI workflows, agent-based features, etc.)
• Hands-on experience building with AI tools (Cursor, Copilot, Claude Caude, Lovable, or equivalent)
• Strong engineering foundation: can read and write code, understand system design tradeoffs, and partner deeply with engineers
• Ability to own a product end-to-end—from problem definition through launch and iteration—without requiring heavy process scaffolding
• Comfort operating in ambiguity
• Demonstrated ability to move fast
• Clear passion for G2’s mission and a point of view on where B2B software discovery is heading
• High-energy, low-ego; you care more about outcomes than credit
• BS/BA in related field
• Even if you don’t check all the boxes in the job description, we encourage you to apply anyway

Desirable

• G2 is investing in a new kind of product function: builders who work seamlessly across product, design, and engineering, using AI to close the gap between an idea and a shipped product
• As a Senior AI Product Builder, you'll be one of the first people in this model — taking ownership of a product area, shaping what the experience should be, and building it directly based on what you hear from real customers
• This is a highly independent role: you'll interpret open-ended problems, decide what's worth pursuing, and carry it straight through to a working product, rather than routing it through separate product, design, and engineering steps
• We're looking for someone who has shipped a real product to external users, treats AI as a natural part of how they build rather than a separate tool, and is confident making product and design calls with no fixed plan to follow
• Define what to build and why—move from a raw customer insight to a product hypothesis, test it, and turn it into a roadmap
• Balance user needs, business outcomes, and technical feasibility without needing a committee to translate between them
• Move fluidly between product management, engineering, and design—no handoffs, just fast, high-quality product creation
• Write production code, prototype in a low-code/AI environment, or get deep in the weeds with engineering partners—you are hands-on
• Use AI coding tools fluently and know how to move fast without cutting corners that matter
• Design AI-powered experiences with intent, understanding how LLMs, agents, and AI workflows behave
• Translate AI behavior into product experiences that feel useful and trustworthy
• Know the difference between AI as a feature and AI as a foundation
• Talk to customers and users, bringing curiosity and rigor to discovery
• Move from a customer conversation to a working prototype fast
• Operate independently while making everyone around you better
• Communicate clearly to execs, engineers, and go-to-market teams
• Align stakeholders without losing momentum