Director, GTM Engineering at Tekion in Pleasanton HQ

Job description

About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. Director, GTM Engineering • Reports to: SVP of GTM & Growth • Location: Bay Area preferred "This isn't a traditional GTM Engineering role. It's a commercialization architect role responsible for building the systems, automation, workflows, and operating model that will help Tekion turn product innovation into scalable revenue growth." Job Introduction GTM Engineering is an emerging function that sits between Revenue Operations and Software Engineering. This person designs, builds, and operates the data pipelines, enrichment workflows, AI agent deployments, and automated plays that the GTM team runs on. Every major SaaS company scaling AI-assisted GTM motions in 2026 is hiring for this role — it is the operational backbone that makes distribution, sales, and CS teams significantly more productive. At Tekion, the Director of AI Distribution will build the campaign engine. The Director of GTM Engineering makes that engine — and every other GTM workflow — faster, smarter, and more automated. They define, deploy, evaluate, and optimize AI agent workflows across the GTM org: lead enrichment, outbound personalization, campaign QA, call prep, competitive intelligence, and pipeline analytics. Key Role & Responsibilities • AI agent workflow design and deployment across GTM — selecting, configuring, and orchestrating agents for lead enrichment, outbound personalization, content generation, campaign QA, and call preparation • GTM tech stack architecture and optimization — owning the integration layer across HubSpot, Salesforce, Databricks, Clay, and emerging AI tooling • Automation of repetitive GTM workflows — replacing manual processes with agent-driven or rule-based systems that scale without adding headcount • Evaluation and QA of deployed agents — monitoring output quality, measuring impact on conversion rates and pipeline velocity, and iterating based on data • Data pipeline and enrichment infrastructure — ensuring GTM teams have accurate, real-time data on accounts, contacts, intent signals, and competitive positioning • Internal tooling and dashboards — building the operational views that let GTM leadership see pipeline health, campaign performance, and agent effectiveness in real time What This Person Does NOT Own • Campaign strategy, messaging, or creative — that belongs to the Director of AI Distribution and GTM leads • Product engineering or platform infrastructure — this role builds on top of Tekion's platform, not inside it • Sales execution or quota — this role makes sellers more effective, not more numerous • Marketing brand, events, or content strategy — this role automates distribution of content, not creation of it Basic Qualifications • 5–8 years in GTM operations, revenue operations, growth engineering, or sales operations — with a strong technical/builder orientation • Has personally built and shipped automation workflows using tools like Clay, n8n, Zapier/Workato, or custom scripts — not just managed vendors who did it • Deep fluency in AI agent frameworks — understands how to prompt, chain, evaluate, and mon