{"id":4080383,"url":"https://alion.io/job/pragmatike-gtm-engineer-pacific-time","title":"GTM Engineer (Pacific Time)","company":{"id":8591,"name":"Pragmatike","domain":"pragmatike.com","url":"https://alion.io/company/pragmatike","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":94,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Sales","role_family":"Sales","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"PT","utc_offset_min":-8,"utc_offset_max":-8},"hiring_geo_confidence":"inferred","locations":["Sacramento, United States","Los Angeles, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":["US","CA","CO","MX","CR","SG"],"hiring_countries_total":6,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Python","optional":true},{"name":"SQL","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-11T15:22:35Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T17:01:59Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Location: Fully Remote (Pacific time zones)\nStart Date: ASAP\nLanguages: Fluent English required\nIndustry: AI / Data Infrastructure\nTeam: Go-to-Market (GTM)\nType: Full-time\nAbout the Opportunity\nPragmatike is hiring a GTM Engineer on behalf of a fast-growing AI company building reliable, fair and open infrastructure for AI training data.\nIts marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies and frontier AI labs. Backed by leading venture investors, including Y Combinator, the company is scaling rapidly and expanding its commercial operations.\nThe company operates a two-sided marketplace where leading AI labs specify the data they need, and the commercial team identifies businesses and individuals who can provide it. As the business grows, the focus is shifting towards building the systems and infrastructure needed to scale these operations efficiently.\nAs a GTM Engineer, you'll approach go-to-market as an engineering challenge. You'll own the technical infrastructure behind the commercial team, building data pipelines, automations, integrations and internal tools that help a lean team source, qualify and close opportunities at scale.\nThis is an engineering-first role with a strong commercial focus, ideal for someone who enjoys building practical systems, solving operational bottlenecks and working closely with sales teams and founders.\nThe company has offices in San Francisco and Singapore, with remote opportunities also available. Working hours will align with either Singapore or US Pacific business hours, depending on your location.\nWhat You'll Do\nOwn the GTM tooling stack end to end, including selecting, configuring, integrating and maintaining the tools used by the commercial team.\n\nBuild scalable sourcing systems, including scrapers and data enrichment pipelines, to identify relevant data providers and opportunities.\n\nDevelop and maintain the data infrastructure behind GTM, connecting CRM, marketplace and product data into a reliable source of truth for pipeline, listings and revenue.\n\nBuild internal tools to support provider research, listing quality checks, pipeline management and sales forecasting.\n\nAutomate repetitive workflows across sourcing, qualification, lead routing and reporting.\n\nIdentify operational bottlenecks with the founders and commercial team, prioritising automation projects with the highest impact.\n\nExplore and implement AI agents where they provide clear advantages over traditional automation.\n\nMake build-versus-buy decisions for GTM tooling, keeping the technical stack efficient, reliable and easy to maintain.\n\nWhat We're Looking For\n2+ years of professional software engineering experience.\n\nStrong programming skills in Python or TypeScript, with fluent SQL.\n\nExperience building internal tools, automations or integrations used by other teams in their day-to-day operations.\n\nHands-on experience developing data pipelines and API integrations between different business systems.\n\nStrong problem-solving skills and the ability to translate business needs into practical technical solutions.\n\nCommercial awareness and an interest in revenue operations, with the ability to understand sales workflows and prioritise projects that directly support business growth.\n\nClear written communication skills and the ability to take ownership in ambiguous, fast-moving environments.\n\nNice to Have:\nExperience in RevOps, growth engineering, sales engineering or forward-deployed engineering.\n\nHands-on experience implementing LLMs or AI agents in production environments.\n\nPrevious experience in an early-stage startup or as a founder.\n\nFamiliarity with AI training data, including RL environments, evaluations and benchmarks.\n\nWe're open to motivated candidates who don't meet every requirement. Strong engineering fundamentals, ownership and the ability to learn quickly are what matter most.\nWhy This Opportunity\nBuild systems that drive revenue: Develop the tools, integrations and pipelines that power the entire commercial operation.\n\nHigh impact in a lean team: Automate critical workflows and help a small GTM team operate at significantly greater scale.\n\nWork directly with founders: Collaborate closely with the founding and commercial teams, identifying problems and deciding what is worth building.\n\nWork with modern AI tooling: Explore and implement AI agents and automation solutions where they deliver real operational value.\n\nFlexible working setup: Choose between on-site opportunities in San Francisco or Singapore, or remote work aligned with Singapore or US Pacific business hours.\n\nEqual Opportunity & Privacy\nPragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.\nThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.\nWe are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. 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