{"id":2582494,"url":"https://alion.io/job/sageox-gtm-engineer","title":"GTM Engineer","company":{"id":10796,"name":"Sageox","domain":"sageox.ai","url":"https://alion.io/company/sageox","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Sales","role_family":"Sales","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":118000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3570},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"AWS","optional":false},{"name":"Hugging Face","optional":false},{"name":"Model Context Protocol","optional":false}],"status":"live","first_seen_at":"2026-08-21T00:06:18Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-10-15T06:38:25Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"This role is based in Seattle, Washington (open to considering San Francisco-based candidates)\nWhy this role exists\nTeams 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.\nThis 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.\nYour mission is to make SageOx known by customers. Build and run the demand engine: content, channels, community, outbound, experiments, and the tooling underneath them.\nWe'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.\nAn extension of us\nThis 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. \nThis 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.\nWhat the job entails\nLearn - own the customer and market loop\nTalk directly with founders, engineers, product teams, and other agent-heavy builders to understand where context is lost and what they've already tried.\n\nMap the territory around the ideal customer: the tools, communities, search terms, adjacent products, and workflows that already surround them.\n\nBe 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.\n\nCreate a steady customer-learning cadence and make the findings legible to product and engineering.\n\nEvangelize - turn learning into voice\nRun 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.\n\nTurn customer conversations into precise positioning inputs, demos, tutorials, comparison pages, workflow documentation, case studies, and product feedback.\n\nBe 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.\n\nAmplify 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.\n\nRun 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.\n\nDogfood SageOx daily and evangelize from lived use, not talking points.\n\nBuild - engineer the machine\nBuild AI-powered tools and agents across the business: prospecting automation, lead scoring and enrichment, customer-facing utilities and demos.\n\nBuild lightweight technical assets: integrations, MCP-based workflows, public utilities, templates, and examples that pull the ecosystem toward SageOx.\n\nBuild the outbound engine: find teams building agents, surface champions inside companies already using us, and automate personalized outreach.\n\nAutomate the GTM stack: wire together our CRM, data sources, and onboarding funnel so the machine runs itself.\n\nBuild repeatable agent-assisted workflows for research, monitoring, drafting, outreach, and reporting, without outsourcing judgment to the agents.\n\nExperiment - measure, decide, systematize\nRun 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.\n\nInstrument everything: define useful activation and conversion signals, and decide what to stop, improve, or scale.\n\nTurn wins into playbooks: find the bottleneck, wire up the automation that removes it, and make every winning play repeatable.\n\nWhat success looks like\nNumbers, 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.\n\n7 days: publishing on cadence from founder brain-dumps with a light review pass; first channel experiments live with baselines.\n\n14 days: ~3 posts + 1 long piece weekly, sustained; visible and targeted social media engagement daily; at least two channel experiments concluded with keep/kill decisions; first GTM automation prototyped; customer-learning cadence established and legible to the team; first measurable inbound signups attributed to content.\n\n2 months: the demand engine runs without founder production time; outbound engine v1 live (target lists, champion surfacing, personalized outreach automated); a repeatable experiment playbook exists; inbound is a visible share of new trials.\n\nHow this person operates\nShips useful things instead of producing strategy decks without execution.\n\nMoves from an ambiguous customer problem to a testable hypothesis to a finished experiment.\n\nBalances speed with taste. The goal is not maximum output; it is impactful output for the right audience. In the age of AI slop, that often entails editing and synthesizing, rather than producing more.\n\nComfortable talking to customers, asking sharp questions - and changing direction when evidence contradicts the original idea.\n\nFinds a distribution path rather than waiting to inherit one.\n\nWorks well with founders and team, communicates progress without excessive process, and makes the next decision clearer.\n\nWhat we're looking for\nWe don't care which door you came through - engineering, solutions engineering, technical marketing, or growth. We care that you build relentlessly and understand what AI makes possible right now.\n2-7 years of experience in software engineering, solutions engineering, technical marketing, or growth - the background matters less than the builder instinct and the willingness to experiment until you've hit the target.\n\nMission & culture alignment (non-negotiable): believes in what SageOx is building - the hivemind for human-agent teams - enough to represent it as their own. Company-first orientation.\n\nA track record of shipping: core or side projects, internal tools, hackathon wins, open source - show us things you've built. Has personally grown an audience, a funnel, or a channel somewhere.\n\nDeep, hands-on fluency with AI, daily (non-negotiable): you've built with the latest AI models and agent frameworks, have opinions about them, and use AI to scale your own work. The pitch is only credible from a practitioner.\n\nTechnical enough to build the machine: works comfortably with AI tools and AI coding agents, MCP, integrations, analytics, and modern AI development workflows.\n\nExperiment-minded: thinks creatively, makes many parallel bets, and picks the winners; can talk in hypotheses, baselines, and results.\n\nDeep customer empathy: genuinely wants to understand and solve customer problems and orients toward finding those customers.\n\nCommunicates clearly - via writing, video, or practical projects built with SageOx itself; explains a technical product through concrete workflows rather than category jargon.\n\nStrong sense of ownership: owns outcomes, not tasks, and makes things happen with limited resources; a great sense of direction and prioritization amid the ambiguity of an early-stage startup.\n\nCultural fit: ships fast, tolerates public failure, measures, iterates; needs direction, not supervision; embraces transparency; focused on making the team win.\n\nConnected to the builder scene - in San Francisco, Seattle, and online.\n\nLocation - Seattle, In Person\nSame as every role here. In person, five days a week, in Seattle. We move fast and the work benefits enormously from being in the room.\nOne narrow exception: Bay Area-based candidates we can get to Seattle at least two weeks a month, through end of 2026.\nHow We Hire\nNo traditional interviews. We'll clear an initial assessment and invite you to a work trial: 3-5 days in Seattle, working on something real alongside the team, the way the team actually works. Most of what matters shows up there faster than any interview loop could reveal.\nBefore applying, please learn more about our work trials.\nAjit wrote up why we hire this way: Read the post\nSageOx Today\n$15M seed led by Canaan, with A.Capital, Pioneer Square Labs, and Founders' Co-op. Founded by Ajit Banerjee (AWS EC2/EBS, XetHub → Hugging Face), Ryan Snodgrass (early Amazon, Kindle/AWS-scale cloud systems), and Milkana Brace (EVP of Product at Remitly). Small on purpose. More about the team →\nCompensation\nCompetitive salary and meaningful equity. We'll talk specifics once we know it's a real mutual fit.\nApply\nWe're not working with recruiters or recruiting agencies/consultants at this time - direct applications only, please.","description_format":"text","description_chars":10498,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","Knowledge Graphs"],"lifecycle":[{"event":"open","at":"2026-10-15T02:24:19Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.37,"p_room":0.28,"age_days":55,"expected_fill_days":17,"reasons":["conf:3","win:tail","crowd:junior"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/sageox-gtm-engineer","json_url":"https://alion.io/job/sageox-gtm-engineer.json","meta":{"generated_at":"2026-10-15T08:16:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12592,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":10796},"rest":"https://alion.io/mcp/rest/get_company?id=10796"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsageox-gtm-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsageox-gtm-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsageox-gtm-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sageox-gtm-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsageox-gtm-engineer"}]}