• Own the technical architecture and quality of a defined product surface — including system design, code, tests, performance, and operational health of what ships. • Partner with your Product Owner as a trio; bring clarity on what’s feasible, what tradeoffs exist, and how to deliver scope on the timeline you’ve committed to, and push back substantively when specifications need refinement. • Build software using AI-augmented workflows as a core practice — drafting, reviewing, refactoring, testing, and documenting code with AI tools — and continuously raising your effectiveness with them. • Make architectural decisions and defend them — across data models, API design, integration patterns, and system tradeoffs; document your reasoning so others can build on it. • Mentor and develop the engineer you’re paired with — through code review, pairing, technical guidance, and modeling strong engineering practice. • Maintain production responsibility for your surface — including monitoring, incident response, performance, and the security posture appropriate to a platform serving regulated public sector customers. • Contribute to platform-wide engineering standards, tooling, and processes — not just your own surface. • Support enterprise sales and customer conversations with substantive technical depth when needed. • Write code that is correct, secure, maintainable, and tested — the AI accelerates you, but the work you ship is yours.

• Build, test, and ship full-stack features using AI-augmented workflows. • Use AI tools as a core part of your daily practice. • Partner with your Product Owner and Senior Software Engineer as a trio. • Participate actively in code review. • Contribute to operational ownership of your product surface. • Continuously raise your effectiveness with AI tooling and with our stack. • Write code that is correct, tested, and maintainable.

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 - Bonus: 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. - As the first GTM Engineer at Pogo, you'll shape what this function looks like at Pogo as we scale. Company Description - 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 expect more than 9 to 5 - raw hours make an impact at our current stage. - We trust each team member to create a flexible work schedule that allows them to be most productive while accommodating other priorities outside of work. - We also strongly encourage time off to recharge the batteries: in addition to unlimited PTO, we've implemented a minimum 20 days vacation policy.

Role Description As a Full Stack Engineer, you’ll work on our enterprise AI SaaS product and own meaningful parts of the product end-to-end. This is a hands-on role with real responsibility. Specifically, you will: - Build and own user-facing product features from idea to production - Work closely with engineering, product, and design to plan, architect, and ship features - Design, build, and implement AI agents, backend services, APIs, and web UIs - Partner with functional leaders across the organization (i.e., GTM, finance, customer support) to design and build internal tools to streamline operations and eliminate manual workflows Qualifications - 2-4 years of professional full-stack software development experience - Heavy user of AI tools like Claude Code, Cursor, or Codex - Stay up to date with the latest in AI, including new LLMs, agent frameworks, and tooling - Strong product and design taste with a clear sense of what “good” looks like - Take ownership and are comfortable driving an entire part of a product - Manage your own time and priorities well - Happy moving across frontend and backend when needed - Communicate clearly and work well with others, especially when things are ambiguous - Built and maintained production systems used by real users - Comfortable learning new tools and building things from scratch Requirements - Experience at early-stage startups or building your own products (bonus) - Familiarity with Animations.Dev, Devouring Details, or InterfaceCraft (bonus) Benefits - Ship real products that get real usage, from customer-facing features to internal tools - Work cross-functionally with product, design, ops, GTM, data, and CS - Use the latest tech and coding tools - Move fast, ship quickly, and get rapid feedback from real users and teammates - Flexible work schedule with unlimited PTO and a minimum of 20 days vacation policy