Director, GTM Engineering

Reposted 5 Days Ago
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Pleasanton, CA, USA
In-Office
197K-246K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Retail • Software
The Role
The Director of GTM Engineering builds and operates AI-powered workflows, data pipelines, integrations, automation, dashboards, and internal tooling for go-to-market teams. Responsibilities include architecting the GTM technology stack, deploying and evaluating AI agents, automating repetitive processes, improving enrichment infrastructure, and measuring effects on conversion and pipeline velocity. The role requires hands-on technical building experience across CRM, marketing automation, enrichment platforms, APIs, SQL, and data systems in a high-growth B2B SaaS environment.
Summary Generated by Built In
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 monitor AI agents in production GTM workflows

  • Strong data engineering instincts — comfortable with SQL, API integrations, data pipelines, and can work alongside engineering teams without being one

  • Experience with CRM architecture (Salesforce), marketing automation (HubSpot/Marketo), and enrichment platforms (Clay, ZoomInfo, Apollo)

  • Systems thinker who sees GTM as an interconnected machine, not a collection of point tools

  • Has operated in a high-growth B2B SaaS environment where speed of iteration mattered more than perfection

  • Comfortable being the first hire in a new function — can define the role, build the roadmap, and execute without waiting for direction

 
First 90 Days
  • GTM tech stack audit complete — map of current tools, integration gaps, and automation opportunities documented

  • First 3 agent workflows deployed and in production (e.g., lead enrichment, outbound personalization, campaign QA)

  • Measurable time savings quantified — hours saved per GTM team member per week from automation

  • Data pipeline improvements — enrichment coverage increased, lead-to-account matching accuracy improved

  • Dashboard or reporting layer built that gives GTM leadership a real-time view of agent performance and pipeline health

 
Reporting Structure

Both roles report directly SVP of GTM & Growth. They sit alongside Director of GTM and the five GTM leads (Fixed Ops, Retail, Accounting, T1, OEM/Integrations). The Director of AI Distribution and the Director of GTM Engineering are peers — not a reporting chain.

 
Perks & Benefits
  • Competitive compensation and generous stock options

  • 100% employer-paid top-of-the-line medical, dental and vision coverage

  • Great benefits including unlimited PTO, parental leave and free snacks and beverages

  • The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies

  • Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper

  • Work on the latest and coolest technologies – everything is home-grown and built ground-up

  • A dynamic work environment with a strong sense of community and collaboration

  • The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy

  • Exciting opportunities for career growth and development

Current Tekion Employees: Please apply via the Internal Job Board in Ashby

Note: Tekion recently transitioned to a new recruiting tool and we appreciate your patience and feedback as we adjust to our new system!

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.

For more information on our privacy practices, please refer to our Applicant Privacy Notice here.

Skills Required

  • 5-8 years of experience in GTM operations, revenue operations, growth engineering, or sales operations with a strong technical and builder orientation
  • Hands-on experience building and shipping automation workflows using Clay, n8n, Zapier, Workato, or custom scripts
  • Deep fluency in AI agent frameworks, including prompting, chaining, evaluation, and production monitoring
  • Strong data engineering skills, including SQL, API integrations, and data pipelines
  • Experience with Salesforce CRM architecture
  • Experience with HubSpot or Marketo marketing automation
  • Experience with enrichment platforms such as Clay, ZoomInfo, or Apollo
  • Experience operating in a high-growth B2B SaaS environment
  • Ability to define a new function, build its roadmap, and execute independently
  • Ability to work alongside engineering teams without being a software engineer

Tekion Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tekion and has not been reviewed or approved by Tekion.

  • Healthcare Strength — Healthcare coverage includes 100% employer-paid medical, dental, and vision for many U.S. roles, often extending to families. Additional options like HSA/FSA and pet insurance are cited as part of a robust health offering.
  • Fair & Transparent Compensation — Pay is considered competitive overall, with total rewards (pay, stock, equity, and benefits) frequently viewed favorably. Many accounts characterize compensation as strong alongside comprehensive benefits.
  • Wellbeing & Lifestyle Benefits — Perks such as free meals/snacks, wellness resources, and on-site amenities are highlighted. Flexible or remote options are available for some roles, adding convenience and flexibility.

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The Company
HQ: Pleasanton, CA
1,858 Employees
Year Founded: 2016

What We Do

At Tekion, we believe that business applications don’t have to be boring. In fact, they should be simple, fun and cool! They should be as delightful to use as your favorite social or consumer application, yet powerful enough to seamlessly and efficiently run global businesses that provide unparalleled consumer experience without compromise. Founded by visionary entrepreneur and innovator Jay Vijayan, we are building the world’s best business applications on the cloud starting with the automotive retail industry. We inherently use cutting-edge technologies like big data, machine learning/AI, and human computer interaction (voice, touch, vision, sensors and IoT). We are inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it! Our flagship product offering, Automotive Retail Cloud ™- an industry-first cloud-native retail platform, including all functionalities of a Dealer Management System (DMS) launched recently.

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