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GTM Engineer, Post-Sales

120k – 155kSan Mateo, CAHybrid
Summary

GTM Engineer focused on post-sales operations. Builds internal tools, integrations, automations, and AI-powered applications to improve Customer Success, Support, and Operations workflows.

About the role

How You'll Make an Impact

Find the right problems to solve

  • Spend time with Customer Success, Support, Field Services, Training, and Operations teams to understand where friction exists and where technology can help
  • Turn vague problems into clear requirements, technical designs, and measurable outcomes
  • Evaluate opportunities based on impact, scalability, and long-term value
  • Maintain and prioritize a backlog focused on the highest-leverage work

Build things that scale

  • Own the full build cycle: design, build, ship, iterate
  • Design systems that create a reliable source of truth across customer-facing workflows
  • Build internal applications, integrations, automations, and AI-powered tools that reduce manual work and improve visibility
  • Connect and operationalize data across systems such as Salesforce, NetSuite, Jira, Databricks, Palantir Foundry, and other business platforms
  • Use the right tool for the job, whether that's a custom application, integration, workflow, reporting layer, or AI-powered solution

Drive adoption, not just delivery

  • Document and systematize what you build so knowledge lives in the organization, not in your head
  • Track outcomes and improve based on adoption, feedback, and business impact

What We're Looking For

You understand operational systems

  • You've spent meaningful time working with or alongside Customer Success, Support, Operations, Business Systems, BizOps, or similar teams
  • You understand how customer records, product usage, support cases, orders, RMAs, assets, and operational workflows fit together
  • You can translate business problems into technical solutions and communicate effectively with both operators and engineers

You're a builder with strong technical instincts

  • You've built internal tools, integrations, automations, data products, or AI-powered applications in a real environment
  • Experience building applications, dashboards, and operational tooling that people rely on every day
  • Experience working with large operational datasets and building the data models, transformations, and pipelines that power analytics and business workflows
  • Experience designing integrations, APIs, workflows, and system-to-system writebacks across platforms such as Salesforce, NetSuite, Jira, Databricks, and similar systems
  • Understands the fundamentals of modern application development, including APIs, authentication, routing, deployments, source control, and operating software in production
  • Familiarity with modern AI systems including retrieval, embeddings, semantic search, and LLM-powered applications

You build for scale

  • You think about maintainability, ownership, and long-term system design from the beginning
  • You document as you go and build with handoff in mind
  • You know the difference between a prototype and a durable system

You've got the right instincts

  • You move quickly and are comfortable operating with incomplete information
  • Strong prioritization and problem-solving skills
  • Clear communicator who can translate between business stakeholders and technical teams

Nice to Have

  • Direct experience working with Palantir Foundry
  • Experience with Databricks or similar lakehouse platforms
  • Experience with Salesforce and NetSuite data models
  • Experience building data pipelines, analytics layers, and business intelligence solutions
  • Experience building AI-powered applications using LLMs, retrieval systems, and embeddings
  • Hands-on experience building automations with Make, n8n, Zapier, or similar tools
Skills
SalesforceNetSuiteJiraDatabricksPalantir FoundryAPIsdata pipelinesLLMsMakeZapier
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