GTM AI Agent Builder
at Gusto
- Work model
- Hybrid
- Location
- Atlanta, GA - Remote; Denver, CO - Hybrid; New York, New York, United States; Phoenix, AZ - Remote; San Francisco, CA - Hybrid
- Posted
- 5d ago
go
at Gusto
<div class="content-intro"><p style="line-height: 1.2;"> </p> <hr> <p><strong>About Gusto</strong></p> <p>At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.</p> <p> <br>All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our<a href="https://gusto.com/about/careers/total-rewards" target="_blank"> <u>Total Rewards philosophy</u></a>.</p> <p> <br>AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.</p></div><p><strong>About the Role:</strong></p> <p>We're looking for a <strong>GTM AI Agent Builder</strong> to build, implement, and support the AI and automation foundations that make Gusto's revenue engine smarter, faster, and more human. This role sits at the intersection of Revenue Operations, AI systems, and GTM strategy — helping shape how Gusto's Sales, Marketing, and Partner teams work in an AI-native future. You'll translate business problems into intelligent, scalable workflows that automate manual work, enhance decision-making, and accelerate growth.</p> <p>If you thrive on turning complex systems into elegant, measurable solutions — and want to help define what AI-native selling looks like at scale — this is the role for you.</p> <p><strong>About the Team:</strong></p> <p>The Revenue Operations team is the connective tissue between strategy, systems, and execution across Gusto's Go-to-Market (GTM) organization. We enable Sales, Marketing, and Partnerships to operate efficiently, make data-informed decisions, and deliver exceptional experiences to customers and partners.</p> <p>As Gusto embraces an AI-first future, this team is building the infrastructure, workflows, and evaluation frameworks that power intelligent, high-performing GTM operations. You'll collaborate closely with RevOps, Data, BizTech, and GTM leadership to bring automation and AI to life across our revenue systems and processes.</p> <p><strong>Here’s what you’ll do day-to-day:</strong></p> <ul> <li><strong>Support GTM AI Strategy</strong>: Contribute to the GTM AI strategy and roadmap, including technology evaluation, critical business use cases (e.g., sales productivity, marketing personalization, customer support automation), and change management initiatives.</li> <li><strong>Build & Execute</strong>: Design and deploy AI-driven workflows and automation that streamline manual GTM processes and improve sales productivity.</li> <li><strong>Partner Cross-Functionally</strong>: Work closely with RevOps and GTM leaders to identify automation opportunities, support trade-off discussions, and connect AI initiatives to measurable business outcomes.</li> <li><strong>Measure Performance & Impact</strong>: Help define and maintain evaluation frameworks that measure prompt reliability, latency, cost, and business impact (e.g., conversion lift, time saved).</li> <li><strong>Build Data & Systems Connections</strong>: Implement integrations connecting Salesforce, GTM tools, and Gusto's data warehouse to AI-powered insights and workflows.</li> <li><strong>Support Model & Vendor Selection</strong>: Contribute to model and vendor evaluation processes, helping ensure flexibility to test and scale best-in-class AI tools.</li> <li><strong>Execute Program Management</strong>: Support the rollout and adoption of AI initiatives, ensuring pilots ship with clear ownership, training, and measurable outcomes.</li> <li><strong>Scale Reusable Patterns</strong>: Collaborate cross-functionally to implement automation patterns and guardrails that make AI-enabled operations safe, efficient, and repeatable across teams.</li> </ul> <p><strong>Here’s what we're looking for:</strong></p> <ul> <li><strong>4–6 years of experience</strong> in Revenue Operations, Business Operations, or Product, ideally within high-growth SaaS or technology companies <strong>or 2–4 years</strong> in an earlier-stage AI-focused company.</li> <li><strong>Demonstrated experience</strong> building and implementing operational systems or automation that improved productivity, accuracy, or revenue outcomes.</li> <li>Comfortable experimenting with AI tools, agents, and automation workflows — strong intuition for where AI adds leverage, even without deep ML expertise.</li> <li>Experience working with GTM systems (Salesforce, Gong, Outreach, data warehouses) and connecting insights to commercial impact.</li> <li><strong>Solid program execution and prioritization skills</strong> — able to manage multiple cross-functional workstreams and drive measurable progress.</li> <li>Technical background is valued and a plus.</li> <li><strong>Strong communication and stakeholder collaboration skills</strong> — can translate technical concepts into clear narratives for GTM and business audiences.</li> <li><strong>AI-native mindset</strong>: Curious, adaptable, and excited to help shape how AI transforms the future of revenue operations.</li> </ul> <p>Our annual base salary compensation range for this role is <strong>$222,000 - $242,000 in San Francisco </strong>and<strong> New York,</strong> and<strong> $189,473 - $205,000 in Denver, Atlanta </strong>and <strong>Phoenix metro areas. </strong> This role is also eligible for an annual variable cash bonus (up to 20%). Final offer amounts are determined by multiple factors, including candidate experience and