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Salary: USD 139,000 - 166,000 / annual
1Password is seeking a Staff GTM Engineer to join the Revenue Operations team and design, build, and scale AI-powered workflows across sales, marketing, and Customer Success. This role reports to the VP of Revenue Operations and focuses on connecting business strategy, analytics, and engineering to solve go-to-market challenges with reliable, scalable solutions that improve efficiency, intelligence, customer experience, and cost to serve.
You will design and implement AI-powered solutions across go-to-market tools and workflows, partnering with Revenue Operations and GTM leaders to identify, evaluate, and prioritize high-impact AI use cases. Key responsibilities include building automations for data enrichment, lead scoring, summarization, routing, and sales intelligence; developing Python scripts, internal APIs, and integrations that connect and streamline SaaS platforms; integrating and evaluating third-party AI and automation platforms such as OpenAI, LangChain, Zapier, and Tray; and helping establish scalable, reliable, and well-governed AI workflows and infrastructure.
You will also document solutions, communicate technical recommendations clearly, and stay current on emerging AI applications for go-to-market teams. 1Password is transforming how it works with AI across GTM, expecting every seller, CSM, and team member to become a power user. The company has surpassed $400M in ARR, earned a spot on the Forbes Cloud 100 for four years running, and partners with iconic brands like Oracle Red Bull Racing. Over 180,000 businesses trust 1Password for secure identity and access management.
Note: All go-to-market roles require in-person onboarding in Toronto. The role is remote-first within the United States or Canada, though occasional travel may be required for department offsites, quarterly meetings, and customer events.
REQUIREMENTS:
• Experience applying business strategy to go-to-market challenges (Revenue Operations, sales, consulting, or related function)
• Analytics experience in data, go-to-market, marketing, solutions engineering, or similar field, with ability to turn insights into action
• Strong technical experience with Python, SQL, API integrations, and automation across SaaS tools
• Experience applying AI to business workflows, governance, infrastructure, or operational processes
• Understanding of data enrichment, revenue automation, sales intelligence, and systems supporting 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 AWS, GCP, Retool, Streamlit, Slack bots, Git, vector databases, or similar technologies
