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GTM Engineer

GTM Engineer

WorkOSSan Francisco, CA, US
24 days ago
Job type
  • Full-time
Job description

Job Description

Job Description

About WorkOS \uD83D\uDE80

WorkOS provides developers with the tools to easily implement authentication, identity, authorization, and other key enterprise features. Our team is fully distributed, spanning across North American time zones. We’re backed by $100m in funding from top investors such as Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Today, hundreds of the fastest-growing SaaS companies — including OpenAI, Cursor, Perplexity, Vercel, and Plaid — rely on WorkOS to power their enterprise infrastructure.

\uD83C\uDFAF About the Role

We’re looking for a GTM Engineer to join our team. You are a growth-minded builder who thrives at the intersection of sales, marketing, and engineering. In this role, you’ll design and operate automated go-to-market systems, build scalable pipeline and develop repeatable plays that drive measurable revenue growth. You’ll continuously experiment with data, messaging, and targeting to optimize every stage of the pipeline.

Think of this role as a blend of growth engineer and five world-class BDRs in one. You’ll automate discovery, enrichment, and outreach workflows using tools like Clay, Unify, HubSpot, and custom code, ensuring every prospect interaction is precise, personalized, and scalable.

\uD83D\uDCCC Responsibilities

  • Design and run automated GTM systems : Build and maintain outbound workflows that use tools like Clay, Unify, Apollo, and HubSpot to identify, qualify, and contact high-fit leads.
  • Design outbound plays : Architect and test new outreach strategies — combining enrichment logic, triggers, and messaging to find what resonates.
  • Develop ICP and TAM models : Define and operationalize ideal customer profiles, map total addressable markets, and continuously refine based on conversion data.
  • Integrate and automate tools : Connect CRM, enrichment, and outreach tools using APIs, Zapier, or code (e.g., Python, JavaScript) to eliminate manual work.
  • Collaborate with Sales and Marketing : Partner with BDRs, AEs, and Ops to ensure seamless lead flow and consistent data quality.
  • Measure and iterate : Analyze campaign performance, reply rates, and conversion data to continuously optimize.
  • Prototype GTM experiments : Test new channels, data sources, and sequencing tactics to increase efficiency and scale.

✅ Requirements

  • 3+ years of experience in GTM Engineering or GTM Systems
  • Highly preferred : Previous experience as a BDR or AE
  • Experience in a high-growth startup or scaling B2B SaaS company
  • GTM Tool Orchestration : Clay orCargo and similar tools.
  • Experience managing a GTM tech stack including Salesforce, HubSpot, Apollo / Outreach, 6sense, and call recording tools (Gong / Chorus / Attention.io).
  • Data-driven mindset—comfortable with reporting, dashboards, and automation.
  • Strong problem-solving and process improvement skills.
  • SQL is a plus
  • The annual US base salary falls within the range of $160,000 to $185,000. This range does not encompass the full spectrum of benefits such as equity, health insurance, vacation time, and paid parental leave. The final compensation will be determined considering various factors, including experience, skills, and qualifications.

    Benefits  ( US Only)  \uD83D\uDC96

    At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.

    Benefits include :

  • Competitive pay
  • Substantial equity grants
  • Healthcare insurance (Medical, Dental and Vision) for you and your family
  • 401k matching
  • Wellness and fitness monthly allowances
  • PTO + paid holidays + unlimited sick leave
  • Autonomy and flexibility with remote work
  • Equal Opportunity Employer

    WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.

    We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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