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GTM Systems Engineer

Builds and maintains integrations, automations, and AI-powered systems across GTM tools for Sales, Marketing, and CX teams. Requires 5+ years in integrations, data fluency with SQL/Snowflake, and scripting in Python or similar, with Salesforce experience.

174k – 215kSan Francisco, CANew York, NYGTM EngineeringHybrid5+ YOE

About the role

Responsibilities

  • Architect and build reliable integrations across our GTM stack — connecting tools like Salesforce, Slack, Braze, Intercom, and Clay to keep data clean and workflows running.
  • Identify and eliminate manual work across GTM teams by designing automation that scales — building systems that let our Sales, Marketing, and CX teams operate faster and scale efficiently while improving the experience for both customers and internal teams.
  • Contribute to AI-powered GTM initiatives, embedding LLM-based tooling and intelligent automation into workflows to surface insights and unlock net-new capabilities for revenue teams.
  • Own data pipeline health across the GTM ecosystem — proactively monitoring syncs, resolving failures, and ensuring the data our teams depend on is accurate and timely.
  • Collaborate cross-functionally with RevOps, Marketing, Sales, CX, and Engineering to understand business priorities and translate them into scalable, maintainable system designs.
  • Document systems, processes, and architectural decisions as a first-class output — building the institutional knowledge that lets the team scale.
  • Design and implement human-in-the-loop workflows that balance AI automation with operational quality, escalation management, and customer trust.

Requirements

  • 5+ years of integration and automation experience: You've built and maintained integrations across complex SaaS ecosystems and are comfortable working with APIs, webhooks, and working alongside engineering teams.
  • Data fluency: You understand how data moves between systems, can write SQL with confidence, and have experience working with or adjacent to modern data platforms like Snowflake.
  • Broad GTM tooling familiarity: You've worked across some combination of Sales, Marketing, and CX tooling — you don't need to be an expert in every platform, but you know how to ramp quickly and build with good architectural instincts.
  • You’ve either built AI-assisted operational workflows directly, or have strong systems engineering fundamentals and genuine excitement to work deeply in this space.
  • Systems thinking: You design for scalability and maintainability, and you know how to balance moving fast with building things that last.
  • Clear communicator: You can translate technical decisions for non-technical stakeholders and work fluidly across functional teams.
  • Proactive ownership: You spot problems, propose solutions, and drive them to resolution — without needing to be asked twice.
  • Scripting and development fluency: You can write scripts or build lightweight services in one or more languages (Python, Ruby, Java, or similar) and are comfortable working with cloud data platforms like Snowflake.
  • Experience with Salesforce at the admin or configuration level.

Compensation

  • US base salary range: $174,000 - $215,000 annually.
  • Competitive salary and meaningful equity in a fast-growing company.

Skills

SalesforceSQLSnowflakePythonAPIsWebhooksSlackBrazeIntercomClay

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