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.

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.

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.

• 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

• 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

• Define and execute the vision for 1Password’s GTM intelligence infrastructure, including the systems, models, and outputs that give leadership timely signals on pipeline health, retention risk, expansion opportunity, and market position

• Partner with Data and RevOps Systems to define the architecture, data models, warehouse structures, and technical standards that support the GTM Intelligence Engine

• Translate data across CRM, marketing automation, product usage, and financial systems into curated insight products, including dashboards, briefings, alerts, and AI-generated summaries consumed by senior GTM leadership

• Own the architecture, standards, and deployment approach 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

• Build and maintain a portfolio of trusted AI agents that support GTM workflows, including pipeline reviews, account research, enablement, forecasting, onboarding, and frontline execution

• 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

• Evaluate how GTM systems should evolve as AI changes how teams interact with CRM, revenue intelligence, workflow automation, and other business applications

• Represent the intelligence function in executive forums, from board preparation to Quarterly Business Reviews (QBRs) to strategic planning cycles

• Build and lead a high-performing team of GTM Engineers, setting standards for analytical rigor, technical quality, communication, and AI fluency

• Develop the broader organization’s capacity to work with AI tools and data-driven insights, fostering a culture where intelligence shapes every significant GTM decision

USA-based roles only: The annual base salary for this role is between $200,000 USD and $300,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.

Canada-based roles only: The annual base salary for this role is between $184,000 CAD and $276,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.


At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.

This posting is for an existing vacancy.

1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.

Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.

Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.

Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.

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