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 - You've shipped AI agents that moved an actual revenue metric, not just demos - Background in RevOps, Marketing Ops, or Sales Engineering before moving fully into building 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 Why you might not be excited about us - Priorities may shift quickly. Oftentimes, we're tackling very ambiguous problems that don't have clear-cut answers. - At times, you'll need to build things in a day: we live and breathe a value called "Calculated Speed". - We don't have structured management (yet!). We don't have the management overhead to provide direction every step of the way. - We expect more than 9 to 5 - raw hours make an impact at our current stage, but we trust each team member to create a flexible work schedule. - We strongly encourage time off to recharge the batteries: in addition to unlimited PTO, we've implemented a minimum 20 days vacation policy.

• Work as part of an experienced team focused on our core software: especially computation and storages • Improve and further develop the provisioning and components behind our entire cloud stack • Focus especially on our Compute stack - including VM provisioning, CPU, and GPU • Enhance and upgrade our internal integrations and collaborate with our other development teams • Participate in building our next level of cloud offering, like improved storages and compute plans

• Own the Feature Discovery phase for new work within your domain. • Produce high-quality Discovery outputs, including specifications, technical assessments, and risk registers that development teams can execute against without follow-up. • Architect scalable, reliable, and maintainable systems that provide a strong foundation for future development. • Drive technical decision-making and maintain the technical health of your domain. • Identify technical debt and create prioritised plans for continuous improvement. • Proactively manage risks and dependencies across features and initiatives. • Translate technical trade-offs and recommendations for Product, Design, and other non-technical stakeholders. • Ensure teams consistently have well-scoped, well-estimated, development-ready work. • Own technical delivery and Discovery activities within a defined domain. • Mentor Junior and Mid-level Engineers, supporting their growth through structured guidance and feedback. • Participate in hiring activities and evaluate engineering talent against established standards. • Set and maintain standards for AI tool usage within Discovery and development workflows. • Contribute to a culture of engineering excellence, collaboration, and continuous improvement.

• Define and drive the company's technical strategy, architectural principles, and engineering standards. • Own the Opportunity Review process, providing feasibility assessments and architectural guidance for major initiatives before Discovery. • Make platform-level decisions across infrastructure, data, security, integrations, and build-vs-buy evaluations. • Lead and deliver high-impact engineering initiatives, including foundational services, platform architecture, and proof-of-concepts. • Ensure the overall technical health, scalability, and long-term evolution of the platform. • Partner with Product, Sales, Customer Success, and leadership teams to align technical direction with business objectives. • Champion engineering excellence through quality standards, best practices, and continuous improvement. • Define and drive AI strategy across engineering workflows and product capabilities. • Mentor and develop Lead Engineers, helping strengthen technical leadership across the organisation. • Support engineering hiring, talent development, and promotion standards.