• Support team members and external partners in their understanding of the technical stack. • Design, develop, test, and deploy scalable, high-quality software solutions, including backend systems and APIs. • Write clean, maintainable, and efficient code following industry best practices. • Optimize web application performance and ensure compliance with strict regulations, such as HIPAA. • Manage cloud infrastructure, CI/CD pipelines, and automate deployment processes. • Identify and capitalize on opportunities for technical impact by meeting with external leadership and collaborating with data scientists. • Apply best engineering practices, including continuous integration/continuous deployment (CI/CD), automated testing, and DevOps principles. • Research and adopt new technologies, especially generative artificial intelligence, to securely enhance software performance and business outcomes. • Stay updated on policy changes and new research in child welfare to integrate relevant insights into the technological framework.

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.