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Tekion

Cloud-native automotive retail platform with DMS

Director, GTM Engineering

Sales OperationsConfirmed live in the last 24 hours
Full-timePleasanton, CA, USA

About the Job

Requirements

  • Five to eight years of experience in GTM operations, revenue operations, growth engineering, or sales operations, with a strong technical and builder orientation.
  • Personally built and shipped automation workflows using tools such as Clay, n8n, Zapier, Workato, or custom scripts; vendor management alone is insufficient.
  • Deep fluency in AI agent frameworks, including prompting, chaining, evaluating, and monitoring agents in production GTM workflows.
  • Strong data engineering instincts and comfort with SQL, API integrations, data pipelines, and working alongside engineering teams.
  • Experience with CRM architecture such as Salesforce, marketing automation such as HubSpot or Marketo, and enrichment platforms such as Clay, ZoomInfo, or Apollo.
  • Experience operating in a high-growth B2B SaaS environment where speed of iteration mattered more than perfection.
  • Comfort defining a new function, building its roadmap, and executing without waiting for direction.

Responsibilities

  • Design and deploy AI agent workflows across GTM, selecting, configuring, and orchestrating agents for lead enrichment, outbound personalization, content generation, campaign quality assurance, and call preparation.
  • Own and optimize the GTM technology stack architecture and integration layer across HubSpot, Salesforce, Databricks, Clay, and emerging AI tools.
  • Automate repetitive GTM workflows by replacing manual processes with agent-driven or rule-based systems that scale without adding headcount.
  • Evaluate and quality-assure deployed agents by monitoring output quality, measuring impact on conversion rates and pipeline velocity, and iterating based on data.
  • Build and maintain data pipeline and enrichment infrastructure so GTM teams have accurate, real-time account, contact, intent-signal, and competitive-positioning data.
  • Build internal tools and dashboards that give GTM leadership real-time visibility into pipeline health, campaign performance, and agent effectiveness.
  • Complete an audit of the GTM technology stack, documenting current tools, integration gaps, and automation opportunities.
  • Deploy the first three agent workflows into production, such as lead enrichment, outbound personalization, and campaign quality assurance.
  • Quantify time savings from automation in hours saved per GTM team member per week.
  • Improve data pipelines by increasing enrichment coverage and lead-to-account matching accuracy.
  • Build a dashboard or reporting layer that gives GTM leadership a real-time view of agent performance and pipeline health.

About the Company

Tekion

Cloud-native automotive retail platform with DMS

Tekion provides a cloud-native Automotive Retail Cloud (ARC) that unifies sales, CRM, service, parts, F&I, and accounting for dealers, OEMs, and consumers. ARC runs as a SaaS platform in the cloud on any device and uses AI, machine learning, and big data to enable digital retailing, personalized upsell opportunities, real-time analytics, and automated workflows, removing data silos. Tekion differentiates itself by offering an end-to-end single platform instead of separate tools, backed by unicorn funding and major automotive investors. Its goal is to standardize and modernize automotive retail and become the software backbone for auto retailers worldwide.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$635.1M
Headquarters
Pleasanton, CA
Founded
2016

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