Director, GTM Engineering

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.

About 1Password

At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.

If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.

1Password is building the intelligence layer for its global go-to-market engine, and this is the role at the center of that transformation. The Director, Go-To-Market (GTM) Engineering is a newly created senior leadership position within the Revenue Operations team, owning the intersection of AI strategy, data intelligence, and GTM execution. You will architect how 1Password uses AI-powered insight to move faster, decide better, and protect more people and businesses around the world. Reporting to the VP, Revenue Operations, this role is based remotely in North America.

How we're using AI

Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate, from real-time coaching that sharpens how we sell and interact with customers to surfacing insights that help us anticipate needs. This creates more time for meaningful customer engagement.

If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here.

What we're looking for

8+ years of experience in analytics, strategy, business intelligence, or GTM operations, with demonstrated ownership of insight products consumed by senior leadership

Hands-on experience building or architecting AI agents or Large Language Model (LLM)-based systems in a business context, from identifying the use case through deployment and iteration

A working understanding of Python, data analytics, data feeds, data structures, and data warehouse architecture

Experience designing or evolving GTM systems across Customer Relationship Management (CRM), data enrichment, revenue intelligence, workflow automation, and related data infrastructure

Experience translating data into decisions, with a track record of building systems or insight products that changed how leaders and teams operate

Experience setting technical standards for how AI agents and intelligence capabilities are architected, built, deployed, and maintained

Cross-functional credibility with VP- and C-suite stakeholders, earned through the quality of your thinking and the clarity of your communication

Experience building and developing teams, including analysts or technical contributors

Comfort operating in greenfield, ambiguous environments where the approach is still being defined

Bonus points for

Familiarity with modern GTM and data tools, including Salesforce, Snowflake or an equivalent data warehouse, dbt, Looker, Clay, ZoomInfo, Gong, Clari, CPQ, or workflow automation platforms

Experience working with version-controlled development workflows and deploying technical solutions into production environments

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 you can expect