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GTM Engineer (GTM Automations)

Gong.io
CompanyGong.io
CategoryEngineering
LocationAustin | Chicago | New York City | Salt Lake City | San Francisco
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted22 Jul 2026
Last verified2 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. We’re hiring a GTM Engineer to design, build, and own the automations, AI agents, and internal tools that power Gong’s go-to-market organization. GTM engineering is an emerging discipline: builders embedded in the revenue organization who combine AI, code, and automation platforms to ship systems that help acquire, convert, and grow customers. You’ll join the GTM Automations & Data team within Revenue Operations and help define how this discipline scales at Gong.  You’ll ship production automations and applications across Sales, SDR, Customer Success, and Partnerships, including prospecting intelligence, account signals, pipeline governance, renewals, and expansion. We operate like a small product engineering team, with short sprints, clear instrumentation, and ownership after launch. We measure success through business outcomes such as pipeline created, conversion improved, retention and expansion, and seller productivity, not tickets closed.  This role also plays a key part in our Gong-on-Gong / Customer Zero initiative. We use Gong's own AI platform internally as a proving ground for new agentic workflows and revenue infrastructure, and what we learn shapes what ships to customers. RESPONSIBILITIES AI & Agentic Workflows Design, build, and deploy AI-powered workflows and agents across the GTM lifecycle, including prospecting intelligence, account research, signal monitoring, pipeline management, and renewal and expansion plays. Evolve our automation portfolio intelligently from deterministic rules toward agentic logic, with the guardrails, audit trails, and human review steps that revenue-critical work demands. Translate ambiguous operational problems into scoped, shippable builds. Automation & Integration Engineering Build and scale production automations across the revenue stack using platforms such as Workato, plus custom code where platforms run out of road. Own reliability for what you ship through observability, retries, alerting, safe failure paths, and human review where appropriate. Build the workflows that keep the revenue engine running: lead routing and lifecycle management, enrichment orchestration, territory and account ownership, pipeline governance. Internal Apps & Tooling Design and ship internal applications using AI-native development tools and modern web stacks, reducing reliance on fragmented point solutions. Inform build-vs-buy decisions with working prototypes rather than slide decks. Customer Zero Build using Gong's own platform, including conversation data, signals, trackers, and workflows, using our products internally to develop new AI capabilities. Prototype automation patterns that shape how modern revenue teams operate, and feed what we learn back to Gong's product teams. Instru