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