Staff GTM Engineer

Responsibilities

• 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.
• 1Password is looking for a Staff GTM Engineer to join our Revenue Operations (RevOps) team and design, build, and scale Artificial Intelligence (AI)-powered workflows across sales, marketing, and Customer Success (CS). You’ll connect business strategy, analytics, and engineering to turn go-to-market challenges into reliable solutions that improve efficiency, intelligence, customer experience, and cost to serve. Reporting to the VP, Revenue Operations, this role is remote in the United States or Canada.
• • Understanding of data enrichment, revenue automation, sales intelligence, and the systems that support sales, marketing, and Customer Success teams.
• • Experience with tools such as Clay, Apollo, ZoomInfo, Clearbit, 6sense, Demandbase, LeadIQ, Instantly, Smartlead, Zapier, Tableau, Looker, Qlik Sense, MicroStrategy, Domo, ThoughtSpot, Salesforce, HubSpot, Gong, or Outreach.
• • Experience deploying internal tools or applications using platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Retool, Streamlit, Slack bots, Git, vector databases, or similar technologies.
• • Design and implement AI-powered solutions across go-to-market tools and workflows.
• • Partner with Revenue Operations and go-to-market leaders to identify, evaluate, and prioritize high-impact AI use cases.
• • Build automations for data enrichment, lead scoring, summarization, routing, sales intelligence, and related revenue workflows.
• • Develop Python scripts, internal APIs, and integrations that connect and streamline SaaS platforms.

Languages