Senior AI Product Builder

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.

Responsibility Area: Product Vision & Strategy

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.

Responsibility Area: Building & Shipping

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.

Responsibility Area: AI Product Design

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.

Responsibility Area: User & Market Insight

Talk to customers and users, bringing curiosity and rigor to discovery.

Move from a customer conversation to a working prototype fast.

Responsibility Area: Cross-Functional Influence

Operate independently while making everyone around you better.

Communicate clearly to execs, engineers, and go-to-market teams.

Align stakeholders without losing momentum.

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.

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

Experience in B2B SaaS; familiarity with the software buying/selling space is a plus.

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.

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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.

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