GTM Engineer, Pulumi

• You've shipped high-quality production software - apps, APIs, or automations - that real users depend on, and you hold yourself to a high bar on code quality
• You have 2+ years of full-stack or backend development experience
• You're fluent with AI-assisted development - Claude Code is a core part of your workflow, not a novelty - and you're comfortable working with LLMs and AI APIs (OpenAI, Anthropic, etc.) to build practical, production-grade tools
• You understand GTM systems - you know what Salesforce is for, why lead routing matters, and how data flows between marketing and sales
• You have experience with automation and integration tooling (n8n, Make, Zapier, or similar)
• You can work across the stack: write a Python script, wire up an API, build a lightweight front end, and deploy it
• You take ownership of outcomes - you don't wait to be told what to build next, you identify the problem, ship the solution, and measure whether it worked
• You communicate well with non-technical stakeholders - you can translate a GTM problem into a systems solution and explain your work clearly
• Experience building for AI-native workflows or agentic systems

Desirable

• We’re looking for a GTM Engineer to join our Growth team. This is a high-ownership, builder role where you’ll define problems, design solutions, and be accountable for outcomes
• You’ll develop AI-powered tools, workflows, and automations that accelerate and enhance the effectiveness of our sales and marketing teams. Working across the full stack, you’ll take end-to-end ownership of what you build and ship
• Build internal AI apps and workflow automations that remove friction from GTM processes - projects like automating our paid digital program, improving Pulumi's visibility in AI search platforms, and accelerating trial conversion
• Work closely with Sales, Marketing, Community Engineering, and Customer Success - embed in their workflows, understand their problems, and ship solutions that stick
• Analyze high-performing GTM behaviors and translate them into scalable systems—operationalizing best practices so they become the standard across the team
• Build activation tooling that gets new users realize value faster - onboarding sequences, trial health scoring, and personalized nudges based on product usage
• Create signals and workflows that identify when free users or trial organizations are ready to upgrade and route them to the appropriate motion—self-serve or sales-assisted
• Build early-warning systems that surface accounts showing signs of disengagement before they churn, and give Customer Success the tools to act on them at scale
• Instrument funnel analytics so the team can clearly see where users drop off across acquisition, activation, and retention—and take action on those insights