Director, Gtm Engineering

1Password 1Password · Enterprise · United States, Canada · Remote · GTM

Director of GTM Engineering to lead the integration of AI and data intelligence into the go-to-market strategy. This role will architect how 1Password uses AI-powered insights to improve speed, decision-making, and customer protection. Responsibilities include defining the vision for GTM intelligence infrastructure, translating data into insight products, owning the deployment and governance of an AI agent platform, and building/leading a team of GTM Engineers. The role requires hands-on experience with AI/LLM tools in a business context and a strong understanding of their responsible governance.

What you'd actually do

  1. Define and execute the vision for 1Password's GTM intelligence infrastructure — the systems, models, and outputs that give leadership timely signals on pipeline health, retention risk, expansion opportunity, and market position
  2. Translate data across Customer Relationship Management (CRM), marketing automation, product usage, and financial systems into curated insight products — dashboards, briefings, alerts, and AI-generated summaries — consumed by senior GTM leadership
  3. Own the deployment and organizational change management for 1Password's AI agent platform across the GTM organization, including prioritizing the use case roadmap and building the governance model that makes AI deployment safe, repeatable, and measurable
  4. Serve as a senior thought partner to Sales, Marketing, Customer Success, and Finance leaders — bridging the gap between business questions and the intelligence products that answer them
  5. Build and lead a high-performing team of GTM Engineers, setting standards for analytical rigor, communication quality, and AI fluency

Skills

Required

  • 8+ years of experience in analytics, strategy, business intelligence, or GTM operations
  • Demonstrated ownership of insight products consumed by senior leadership
  • Proven, hands-on experience implementing AI and Large Language Model (LLM)-based tools in a business context
  • A track record of translating data into decisions
  • Cross-functional credibility with VP- and C-suite stakeholders
  • Experience building and developing teams
  • Comfort operating in greenfield, ambiguous environments

Nice to have

  • Experience deploying AI agents at an organizational level
  • Familiarity with modern GTM data stacks (Salesforce, Snowflake or equivalent data warehouse, dbt, Looker or similar business intelligence tooling)
  • Prior experience at a Business-to-Business (B2B) Software as a Service (SaaS) or security company
  • Exposure to enterprise sales motion and revenue forecasting methodologies

What the JD emphasized

  • Proven, hands-on experience implementing AI and Large Language Model (LLM)-based tools in a business context
  • Experience deploying AI agents at an organizational level

Other signals

  • AI-powered insight to move faster, decide better, and protect more people and businesses
  • AI agent platform across the GTM organization
  • governance model that makes AI deployment safe, repeatable, and measurable