GTM Engineer

At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us!About the TeamSolarWinds is building a purpose-built GTM Engineering function — a small, high-output team that designs, deploys, and operates AI agents and automation systems across the full revenue motion. We sit inside GTM Technology, serve both Marketing and Sales, and measure ourselves on one thing: tangible reduction in manual work and measurable impact on pipeline. We operate across four pillars — Seller Experience, Demand Generation, RevOps & Marketing, and Intelligence Layer — with a live backlog of scored projects across all four. This is our second GTM Engineer hire, opening a parallel build track as the team scales. We hire for range. Our best builders have come from sales floors, ops teams, and everything in between.The RoleYou'll own the end-to-end lifecycle of AI and automation projects — from problem discovery to deployed workflow to measured outcome. You won't be handed clean requirements. You'll sit with sellers, marketers, or ops teams, map what they do manually, design an automation that replaces it, build it on the stack, pilot it with real users, and report back on the ROI. Your primary focus will be Demand Generation and the Intelligence Layer — telemetry-triggered signals, inbound AI SDR programs, lead routing and enrichment pipelines, and cross-system attribution integrations. You'll also contribute to Seller Experience and RevOps projects as the team scales.Core ResponsibilitiesAI Engineering & Automation Design, build, and deploy AI agents and multi-step automation workflows across the GTM stack Build integrations between core revenue systems using native connectors, automation platforms, and REST APIs Architect LLM reasoning patterns — prompt design, structured output, fallback logic, and human-in-the-loop approval gates for high-risk workflows Build for reuse: modular components, documented standards, and templates that other builders can extend Operations & Governance Spec every build before touching a tool — problem statement, scope, success metric, rollback plan Monitor workflow health, error rates, and agent output quality post-launch Track KPIs at 30/60/90 days and report outcomes to leadership Maintain documentation standards so every shipped workflow is auditable and transferable Discovery & Stakeholder Translation Run discovery sessions with Sales, Demand Gen, CS, and Analytics stakeholders to surface automation opportunities Translate business pain into technical specifications without requiring stakeholders to understand the underlying stack Participate in a recurring intake cadence to validate and prioritize workflow candidates from the field Enablement Document what you build — playbooks, one-pagers, training materials — so other GTM builders can adopt and extend your work Contribute to internal AI fluency programs as the team scales its builder community Required Technical Skills Automation platform proficiency — Advanced multi-step workflow builds, branching logic, error handling, and governance. Zapier is our primary orchestration layer; equivalent experience with Make or similar transfers. CRM data model literacy — Salesforce object relationships, field mapping, and activity/event logging. Enough depth to build integrations without breaking production data. LLM prompt engineering — Structured output design, chain-of-thought patterns, failure mode management, and confidence/fallback logic. Production experience with Claude, Gemini, or GPT-4 class models. REST API fundamentals — Reading API docs, constructing authenticated requests, handling pagination and error responses, and building integrations where no native connector exists. GTM systems fluency — Working knowledge of at least three platforms across: sales engagement (Outreach, Salesloft), conversation intelligence (Gong), intent data (6sense), AI search (Glean), or prospecting/enrichment (Clay, Apollo.io). Required Soft Skills Autonomous executor — You close the loop without being chased. When a build stalls, you surface the blocker. You own HOW and DONE. Systems thinker — You see downstream consequences before they happen. You ask what breaks before you ship. Documentation discipline — You write things down not because you're asked, but because you understand a workflow that lives in your head is a liability. Stakeholder translator — You can sit with a seller who has never heard of an API and walk out with a clear problem statement and a proposed automation architecture. Bias toward done over perfect — You pilot with real users, gather feedback, and iterate. Speed plus measurement beats slow plus perfect. Preferred / Nice to Have Foundational Python or JavaScript, or demonstrated aptitude for using LLMs to write and debug code against APIs Experience with agent platforms: Glean Agents, Relevance AI, Google Agentspace, or similar Familiarity with MCP (Model Context Protocol) for GTM tool integration SQL or BigQuery for querying telemetry data and validating signal accuracy Background in demand generation operations, lead routing, or marketing automation Location: Austin, TX (preferred) or Charlotte, NC Experience2–4 y