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GTM Engineering
Full-time
Remote

Staff GTM Engineer

1Password Remote$139k–$166kPosted 4d ago

About the role

  • 1Password is hiring a Staff GTM Engineer to join its Revenue Operations team, reporting to the VP, Revenue Operations. This posting is for an existing vacancy.
  • Design, build, and scale AI-powered workflows across sales, marketing, and Customer Success. 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.
  • This role is remote within the United States or Canada. Remote employees must work from their home country. All go-to-market roles require in-person onboarding in Toronto.
  • 1Password has surpassed $400 million in ARR, earned a place on the Forbes Cloud 100 for four consecutive years, and partnered with organizations including Oracle Red Bull Racing.
  • The company builds enterprise password management and Unified Access Management solutions, helping ensure authentic identities, secure application sign-ins, and trusted devices. More than 180,000 businesses use 1Password to securely adopt SaaS and AI tools.
  • AI is embedded in GTM operations, including real-time coaching and customer insights. Sellers, CSMs, and other team members are expected to become daily AI power users.

Responsibilities

  • Design and implement AI-powered solutions across go-to-market tools and workflows.
  • Partner with Revenue Operations and GTM 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.
  • Integrate and evaluate third-party AI and automation platforms such as OpenAI, LangChain, Zapier, and Tray.
  • Help establish scalable, reliable, and well-governed AI workflows and infrastructure.
  • Document solutions, communicate technical recommendations clearly, and stay current on emerging AI applications for GTM teams.

Requirements

  • Experience applying business strategy to go-to-market challenges in Revenue Operations, sales, consulting, or a related function.
  • Analytics experience in data, GTM, marketing, solutions engineering, or a similar field, with the 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 the 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.
  • Adaptability, curiosity, receptiveness to feedback, and the ability to deliver results in a demanding, fast-paced environment with ambiguity and change.
  • Actively learn AI best practices, identify meaningful applications, and use AI to drive innovative solutions in daily work.
  • Occasional travel may be required for offsites, quarterly department meetings, and customer events across Canada, the United States, or EMEA. Leadership roles generally involve travel once per month.

Benefits

  • Immediate eligibility for benefits, including health and dental coverage, and 401(k) participation for US employees or RRSP participation for Canadian employees.
  • Generous paid time off, an equity grant, and incentive program participation where applicable.
  • Maternity and parental leave top-up programs.
  • Retirement matching program and an RSU program for most employees.
  • Free 1Password account.
  • Paid volunteer days and peer-to-peer recognition through Bonusly.
  • Remote-first work environment.
  • Compensation is guided by fair market value and internal equity, reflecting experience and specific skills. The salary figures provided in the structured fields reflect the US annual base salary range.

Culture and working environment

  • 1Password prioritizes collaboration, clear and transparent communication, openness to feedback, and its core values: keep it simple, lead with honesty, and put people first.
  • Teams challenge the status quo, experiment, and iterate to find better solutions. The company emphasizes excellence, challenging work, continuous growth, and measurable impact.
  • The company supports both remote work and in-person collaboration. Some other GTM roles are hybrid in Toronto or Austin and are identified separately in their postings.
  • 1Password is an equal opportunity employer committed to an inclusive, diverse, equitable workplace built on trust, support, and respect. It welcomes individuals without discrimination based on gender identity or expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken, or veteran status.

Application process

  • Candidates may use AI tools responsibly and thoughtfully during the application process, but live interviews must be completed without AI tools.
  • Recruitment accommodations are available at any stage. Contact your talent acquisition partner or nextbit@agilebits.com.
  • Successful applicants must complete a background check, which may include employment verification, references, education confirmation, criminal background, publicly available social media, credit history, or other information permitted by local law.
  • 1Password uses AI and machine learning, including natural language processing and predictive analytics, to assist with initial application screening.
  • Candidates may review the third-party bias audit, opt out of AI/ML assessment, or read the Candidate Privacy Notice.