{"id":649311,"url":"https://alion.io/job/nscale-revops-specialist","title":"GTM Engineer","company":{"id":48155,"name":"Nscale","domain":"nscale.com","url":"https://alion.io/company/nscale","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":91,"open_postings":24,"ghost_share":0,"stale_share":0.333,"repost_share":0.042,"time_to_fill_p50_days":56,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Sales","role_family":"Sales","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","San Francisco, United States","Houston, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anyscale","optional":false},{"name":"HubSpot","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"Salesforce","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-09T21:30:34Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T04:56:59Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"About the role: Nscale's GTM organization is being built right now - and the revenue infrastructure underneath it does not exist yet. The commercial source of truth, the account intelligence, the data layer behind pipeline and forecasting, and every automation on top will be designed, built and shipped by this role, from a blank page. This is a hands-on builder role that combines revenue operations judgment with GTM engineering: you decide what the highest-leverage system is, then you build it.\nNscale sells the infrastructure that the agentic era runs on, and we intend to run our GTM the same way. The agentic workflows for research, enrichment, signal routing and competitive intelligence that this team will run on are yours to architect, build and ship from the ground up. You are not improving someone else's system; you are creating the one every future hire inherits.\nWhat you'll own:\nThe commercial source of truth\nImplement and structure the CRM from the ground up: account and opportunity data models, pipeline stages, required fields, routing, process hygiene and reporting - one trusted record for every deal and every tranche of capacity\nArchitect and build the GTM stack from scratch with integrations and automations that eliminate manual work before it ever becomes habit\nOwn field governance and data integrity with Revenue Enablement - the standard is enforced in the system, not in reminders\nThe data layer and reporting\nCreate the data layer the GTM operating rhythm will run on - pipeline health, deal velocity, forecast accuracy, ASP by SKU, utilization, capacity sold-forward. None of this data exists today; you define it, instrument it and make it trustworthy\nBuild the first reporting these forums will ever run on - the weekly pipeline review, the capacity allocation forum and the WPR are being stood up in parallel with this role\nBuild executive dashboards that make funnel performance, pipeline coverage and launch adoption legible at a glance\nAI-native workflows and automation\nBuild and ship the first agentic and automated workflows for research, enrichment, account intelligence, signal capture and routing - removing repetitive work while preserving human judgment on strategic accounts\nBuild the internal tools, dashboards and agents that become this team's core infrastructure - a competitive intelligence hub and rep-facing agents are on the blueprint; you build the first versions\nBuild the automation behind deal capture and commercial document assembly from zero, as deal desk standardizes its structures\nEcosystem and signal mining\nMine Nscale's unique data - the Ray and Anyscale ecosystem, open-source community activity, platform usage telemetry - to identify high-value prospects, warm paths and expansion signals before competitors see them\nTurn usage and adoption signals into sales triggers: who is scaling, who is about to hit capacity, who went quiet\nSeller workflows and adoption\nDesign the first selling workflows with the sellers - there is no playbook to inherit; what you build with them becomes the playbook\nBuild the onboarding path for every seller who follows: how new hires learn the stack, with Revenue Enablement\nYou might be a good fit if you have:\n4-8 years in revenue operations, sales operations, or GTM engineering at a B2B technology company - ideally including an early-stage or high-growth environment\nHands-on experience implementing and administering a CRM (Salesforce, HubSpot or similar): data models, pipeline design, routing, hygiene and reporting\nStrong ability to work with data, APIs, integrations, enrichment sources, automation tools and lightweight scripting (SQL plus Python or similar) to turn fragmented commercial information into usable workflows\nThe blank-sheet muscle: you can take an ambiguous problem, identify the highest-leverage system to build, and ship it without waiting for detailed requirements\nA working understanding of how an early-stage sales org operates - ICP definition, prospect research, pipeline management, handoffs - and a sharp sense for the difference between useful process and unnecessary process\nComfort working directly with sellers, commercial leadership, product, engineering and finance, and translating commercial needs into clear system and data requirements\nStrong candidates may also have:\nBuilt 0-to-1 GTM infrastructure before the company had a mature CRM, documented ICP or standardized sales process\nExperience with AI-native GTM workflows: research automation, enrichment, account intelligence, workflow orchestration, agent building\nExperience at an infrastructure, developer-tools, open-source or consumption-priced company - familiarity with GPUs, Ray or Kubernetes is a plus, not a requirement\nMined community or product-usage data as a source of commercial intelligence\nExposure to quota reporting, attainment tracking or sales compensation operations (a growing part of this role's scope over time)\nWhy this role, now: Every system this role builds becomes the central nervous system of Nscale's revenue organization - there is no legacy stack to maintain, no process to inherit, and no committee between you and shipping. You will see your work in the Monday pipeline review within weeks of building it.\nThe range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.\nSalary Range\n$120,000—$200,000 USD\nFor information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.\nNscale does not accept unsolicited candidate submissions from recruitment agencies.","description_format":"text","description_chars":5918,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-10T20:22:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 10","filings_12m":10,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":198500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":48,"band":"ok","label":"Likely open","p_open":1,"p_active":0.805,"p_room":0.6,"age_days":51,"expected_fill_days":56,"reasons":["conf:1","velocity","win:late","crowd:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":true},"html_url":"https://alion.io/job/nscale-revops-specialist","json_url":"https://alion.io/job/nscale-revops-specialist.json","meta":{"generated_at":"2026-10-31T08:05:05Z","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":12053,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":48155},"rest":"https://alion.io/mcp/rest/get_company?id=48155"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnscale-revops-specialist"},{"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%2Fnscale-revops-specialist"},{"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%2Fnscale-revops-specialist"},{"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/nscale-revops-specialist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnscale-revops-specialist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":649311}},{"tool":"search_jobs","arguments":{"company":"nscale.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":649311},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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