GTM AI Engineer

GTM AI Engineer At Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity. At TigerData, we’re not treating AI as a side project; we’re actively rethinking how go-to-market teams operate because of it. This role sits at the intersection of RevOps, Sales, Marketing, and Product, reporting into the Head of RevOps. It’s a builder role for someone who sees inefficiencies across the GTM motion and instinctively starts figuring out how to fix them. You don’t need to have had this exact title before. Some of the strongest people in this role started in adjacent roles (SDR, RevOps, Growth, Engineering) and taught themselves how to build. The common thread isn’t background, it’s intellectual curiosity, creativity, and a bias toward experimentation. You won’t be handed a fully defined roadmap — but you’ll work closely with GTM leaders to identify where you can have the biggest impact. If you’re the kind of person who sees a broken process and thinks, “I could automate that by tonight,” you’ll feel at home here. This role is remote. We have a strong preference for candidates based in Pittsburgh or similar US markets. What you will be responsible for in this role: - Identifying inefficiencies across Sales, Marketing, and RevOps and proactively fixing them - Building and shipping AI-powered workflows, tools, and MVPs (internal-first, occasionally customer-facing) - Automating repetitive GTM processes (lead enrichment, outbound personalization, CRM workflows, routing, etc.) - Rapid experimentation: going from idea → prototype → live usage in days, not weeks - Partnering across teams to deeply understand problems and deliver solutions that actually get used - Acting as an internal thought partner on how AI can transform our GTM motion - Continuously exploring new AI tools, workflows, and ideas and bringing the best ones into the company - Shipping is the goal, not prototypes that never get used You could be a great fit if you: - Are a hands-on AI operator. You regularly build with LLMs, APIs, agents, or automation tools and understand their real-world limitations - Are comfortable using agentic coding tools like Claude Code to go from idea to working product without waiting on engineering resources - Can point to real things you’ve built with AI (workflows, tools, automations, side projects) that have been used in practice - Have a track record of teaching yourself new things quickly and applying them immediately - Default to action: you’d rather ship a scrappy MVP today than debate for a week - Thrive in ambiguity and don’t need a roadmap to get started - Are highly curious and constantly experimenting with new tools and ideas - Care about solving real business problems (time saved, pipeline generated, processes improved) - Can work cross-functionally and confidently engage with Sales, Marketing, and Ops teams - Can write code or comfortably work with APIs (Python, JavaScript, or similar) or can ramp quickly - Have exposure to GTM systems (Salesforce, HubSpot, Clay, etc.) or can learn them quickly You might not be a great fit if you: - Want a clearly defined role with a fixed roadmap - Prefer planning and discussion over building and shipping - Are more interested in AI as a concept than as a tool to drive business outcomes - Need close direction or structured problem statements to be effective - Haven’t spent meaningful time building and shipping with AI tools yet (beyond light experimentation) - Avoid cross-function ... (truncated, view full listing at source)