Role Description As the first GTM Engineer at Pogo, you'll partner with our Growth, Sales, Design, and Engineering teams to build AI-powered systems that compound revenue. You'll work on our enterprise AI SaaS product as both a builder and an operator: shipping code that drives pipeline and conversion. - Ship AI-powered workflows that scale our growth and sales motions as a competitive advantage. - Audit our existing GTM stack, identify the gaps and redundancies, and start shipping against them fast. - Embed with our sales and growth teams to turn their best plays into systems the whole org can run on. - Build internal tools and agents that replace manual workflows - lead routing, enrichment, outbound personalization, account research, content distribution, attribution. - Know when to reach for off-the-shelf tools and when to build something custom. - Partner closely with engineering and design to test new features, give feedback, and dogfood our own AI capabilities for GTM use cases. - Publish playbooks and internal guides so wins propagate across the team. Qualifications - Likely 2-5 years of professional software engineering experience, with at least some of that applied directly to GTM, growth, or revenue systems. - You're a heavy user of AI tools like Claude Code, Cursor, or Codex and have shipped non-trivial things with them. - You've built with LLMs and AI agents - think RAG, evals, tool use, prompt engineering. - You're hands-on with the modern GTM stack (Clay, HubSpot or Salesforce, Apollo, Cargo, Gong, Outreach/Instantly, etc.) and can navigate APIs, webhooks, and integrations fluently. - You have strong product and design taste - the internal tools you build should feel as polished as the product. - You think in systems and like turning messy operational problems into clean, automated ones. - You have real commercial instinct - you can sit in a sales call or read a growth dashboard and immediately see where leverage exists. - You communicate clearly across technical and non-technical stakeholders, especially when things are ambiguous. - You've built and maintained production systems used by real users (internal users count). Requirements - Experience at early-stage startups or building your own products (bonus). - You've shipped AI agents that moved an actual revenue metric, not just demos (bonus). - Background in RevOps, Marketing Ops, or Sales Engineering before moving fully into building (bonus). Benefits - Ship real systems that get real usage and move real numbers - pipeline, conversion, retention. - Sit at the center of the company. Partner with Growth, Sales, Design, and Engineering. - Use the latest tech. Build with the latest coding tools, LLMs, and GTM platforms. - Move fast. Ship weekly and get rapid feedback from the teams using what you build. - Shape what this function looks like at Pogo as we scale.

• Help ensure our IDEs look slick and run fast by providing low-level support for UI frameworks like Swing and Compose for desktop.

• Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios • Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning • Productionize and deploy solutions onto autonomous vehicle fleets • Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance • Communicate progress and challenges to leadership

• Work independently and lead end-to-end tasks • Provide technical leadership to the engineering team by improving and guiding the architecture • Contribute to reducing development process complexity • Work closely with Product to translate business needs into creative, elegant, incremental, and efficient solutions • Design and develop components and applications with simplicity, efficiency, maintainability, and code reusability in mind • Ensure documentation of applications and architectural decisions • Ensure observability of production applications and participate in incident resolution • Actively analyze and improve application scalability, stability, and security • Take ownership of projects end-to-end • Strong collaboration skills to remove any blockers encountered • Stay up to date with web development trends, frameworks, and best practices, and recommend improvements to enhance development processes