{"id":226003,"url":"https://alion.io/job/fal-gtm-operations-engineer","title":"GTM Operations Engineer","company":{"id":44380,"name":"Fal","domain":"fal.ai","url":"https://alion.io/company/fal","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":29,"ghost_share":0,"stale_share":0.448,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Sales","role_family":"Sales","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Salesforce","optional":false},{"name":"BigQuery","optional":true},{"name":"Google BigQuery","optional":true},{"name":"n8n","optional":true},{"name":"SQL","optional":true},{"name":"Zapier","optional":true}],"status":"live","first_seen_at":"2026-08-05T22:40:03Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-10-01T23:29:24Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":56},"description":"fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.\nAs generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.\nAbout the role\nWe are hiring our second GTM operations teammate: a hands-on GTM Engineer who owns the execution layer of our revenue systems. You will report to the manager of Revenue Operations and work as the front-line builder and operator for a GTM org of 30, running on one of the most modern, AI-native revenue stacks anywhere.\nThis is an AI-first seat. You will work with Claude/Cursor/Codex and agentic tooling every day, and we expect AI leverage to make you dramatically more productive than a traditional ops hire. It is also a service seat: real people need real help daily, and you will be the first call when a rep is blocked. You know what a BDR's morning looks like, what an AE needs mid-deal, and what an AM checks before a renewal call, and you genuinely enjoy dropping what you are doing to unblock them, running down a minor technical issue, and getting them back to selling. If you want to build systems AND love being the person who unblocks a team, this role is for you.\nWhat you'll do:\nRecurring, high-volume execution & systems support:\nCreate target lists and audiences for outbound, campaigns, and marketing programs, ensuring swift, and effective sales execution\n\nBuild novel, custom, agentic workflows to enable the BDR, AE, and AM teams across pre-sales, sales, and post-sales\n\nRun data enrichment, hygiene, and processing: cleaning, dedupe, and enrichment pipelines in Clay and Salesforce\n\nProvide daily systems support, user management, and front-line issue resolution across the GTM stack: Salesforce, Gong, Outreach, Apollo, Clay, Common Room, etc\n\nExecute territory refinements and CRM build work prioritized by RevOps & sales leadership\n\nWork closely with sales leadership and operations to refine and improve GTM processes through system design and enablement\n\nEnsure new hires are setup and fluent in their tools\n\nSystems you'll manage directly:\nOutreach (sales engagement), Common Room (community and signal tracking), Gumloop (agentic workflows), and Default (inbound lead routing)\n\nRequirements/Nice to have:\n3 to 5 years in GTM, revenue, or sales operations at a B2B software company; usage-based or PLG experience is a plus\n\nFluent in how revenue teams actually run: the day-to-day of BDRs (lists, sequences, meeting handoffs), AEs (pipeline hygiene, deal cycles, forecasting), and AMs (renewals, expansion, account health), so everything you build and every fix you make fits how sellers really work\n\nHands-on operator of a modern GTM stack: Salesforce administration (declarative: flows, permissions, reports), a sales engagement platform, and an enrichment tool (Clay strongly preferred)\n\nComfortable with APIs and webhooks; you can wire two systems together and debug a broken sync without waiting for engineering. SQL is a plus, software engineering is not required\n\nFluent with AI tools as a builder, not just a chat user: you use Claude, Cursor, or similar to script, automate, and ship fast\n\nA systems-design mind with a service heart: empathetic and support-minded, you see the process behind the ticket, you still answer the ticket fast, and you will happily set aside deep work to unblock an AE or research a small technical issue through to resolution\n\nHigh ownership and low ego: unglamorous data work done precisely is how revenue teams win\n\nCPQ or quote-to-cash experience\n\nWorkflow automation platforms (Gumloop, n8n, Zapier, Make)\n\nData warehouse or rETL exposure (BigQuery, Hightouch, Census)\n\nFamiliarity with the generative media or AI infrastructure space\n\nWhat we offer at fal\nInteresting and challenging work\n\nCompetitive salary and equity\n\nA lot of learning and growth opportunities\n\nHealth, dental, and vision insurance (US)\n\nRegular team events and offsites\n\nCompensation\n$150K - $180K + Equity + comprehensive benefits package\n\nU.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:\nfal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.","description_format":"text","description_chars":4780,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Growth opportunities","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Generative Image","Generative Video","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-05T09:20:50Z"}],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.631,"p_room":0.55,"age_days":56,"expected_fill_days":45,"reasons":["conf:5","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":true},"html_url":"https://alion.io/job/fal-gtm-operations-engineer","json_url":"https://alion.io/job/fal-gtm-operations-engineer.json","meta":{"generated_at":"2026-10-02T01:37:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1985,"day_limit":5000,"remaining_today":3015,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}