GTM Engineer

About the company

SageOx is a startup that builds shared context infrastructure to capture decisions, intent, and history for human–AI agent collaboration.

About this role

This role is based in Seattle, Washington (open to considering San Francisco-based candidates) WHY THIS ROLE EXISTS Teams increasingly build through prompts, coding agents, assistants, meetings, and automations — and the context across those surfaces fragments quickly. SageOx is the hivemind for human-agent teams: a new product and a new category to explain. That takes someone who can build the market alongside the product, not operate a mature acquisition channel. We are looking to onboard a superstar who owns the loop from customer conversation → experiment → measured learning, and runs it every week. This is an early, hands-on position with meaningful influence over positioning, distribution, integrations, and the product roadmap. You’ll work closely with the founders on the narrative as you learn from customers and the ecosystem what resonates. Your mission is to make SageOx known by customers. Build and run the demand engine: content, channels, community, outbound, experiments, and the tooling underneath them. We're looking for a GTM Engineer who loves building and lives on the cutting edge of AI. This role doesn't just tell the story, it engineers the machine that spreads it. AN EXTENSION OF US This role speaks as SageOx. Whoever holds it becomes an extension of the founding team in public — which is why deep alignment with SageOx's mission and culture is a hard requirement, not a preference. The center of gravity matters: this person promotes SageOx, not themselves. Their skill will make them visible: that's a byproduct we're glad about, but it’s not the goal. The audience they build belongs to the company. If your ambition is to make a company famous and create great value in the process, this is one of the best seats in the ecosystem to do it from. This is a high-impact, high-agency role: as our first hire in this area, you'll wear a lot of hats while setting the strategy. You’ll have a high degree of autonomy to work with any function, with any support from the team you need. You'll work directly with leadership to find the highest-leverage problems, then own them end to end. WHAT THE JOB ENTAILS Learn — own the customer and market loop - Talk directly with founders, engineers, product teams, and other agent-heavy builders to understand where context is lost and what they've already tried. - Map the territory around the ideal customer: the tools, communities, search terms, adjacent products, and workflows that already surround them. - Be the tip of the spear for market feedback. This person spends their days where the conversation happens — reading, commenting, engaging on social media and in communities. Surface important trends and developments to the team; relay the feedback that matters from prospects and ecosystem players. Outside-in signal is a deliverable of this role, not a byproduct. - Create a steady customer-learning cadence and make the findings legible to product and engineering. Evangelize — turn learning into voice - Run the content machinery around SageOx: turn internal insights and learnings, customer stories, and shipped features into X threads, posts, short video, and longer pieces: on cadence, every week. - Turn customer conversations into precise positioning inputs, demos, tutorials, comparison pages, workflow documentation, case studies, and product feedback. - Be the team's external voice engine. Many great insights and ideas originate inside the team, as we experiment with internal tooling and practices. This role turns those raw ideas into public voice. - Amplify the founders directly: identify the highest-impact platforms, podcasts, and moments for the founders to show up, get them there, and connect them with the audiences that matter. - Run community marketing: launches, dev-influencer collabs, and hackathons — measured in signups flowing in. Own event presence. Help develop SageOx's presence across the Seattle and San Francisco builder communities. - Dogfood SageOx daily and evangelize from lived use, not talking points. Build — engineer the machine - Build AI-powered tools and agents across the business: prospecting automation, lead scoring and enrichment, customer-facing utilities and demos. - Build lightweight technical assets: integrations, MCP-based workflows, public utilities, templates, and examples that pull the ecosystem toward SageOx. - Build the outbound engine: find teams building agents, surface champions inside companies already using us, and automate personalized outreach. - Automate the GTM stack: wire together our CRM, data sources, and onboarding funnel so the machine runs itself. - Build repeatable agent-assisted workflows for research, monitoring, drafting, outreach, and reporting, without outsourcing judgment to the agents. Experiment — measure, decide, systematize - Run small distribution experiments across developer communities, events, content, integrations, marketplaces, partnerships, and targeted outbound. Own the process end to end: form a hypothesis, build the thing, ship it, measure it, and kill it or scale it. - Instrument everything: define useful activation and conversion signals, and decide what to stop, improve, or scale. - Turn wins into playbooks: find the bottleneck, wire up the automation that removes it, and make every winning play repeatable. WHAT SUCCESS LOOKS LIKE - Numbers, not vibes; traction, not vanity. The metrics that count are meaningful company traction: qualified signups/trials sourced per week, engaged conversations that convert into customers, experiments run per month with documented learnings (a kill is a result). Follower counts and impressions are not the scoreboard; a smaller audience that converts beats a big one that scrolls past. Audience growth matters only on channels that demonstrably convert. - 7 days: publishing on cadence from founder brain-dumps with a light review pass; first channel experiments live with bas