{"id":439246,"url":"https://alion.io/job/samba-tv-ai-gtm-engineer","title":"AI GTM Engineer","company":{"id":171913,"name":"Samba TV","domain":"samba.tv","url":"https://alion.io/company/samba-tv","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":55,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":143,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","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":175000,"max":215000,"currency":"USD","period":"year","gross":null,"usd_annual":215000},"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":"Claude Code","optional":false},{"name":"dbt","optional":false},{"name":"Function Calling","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Slack","optional":false},{"name":"Snowflake","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Azure","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-06-16T13:58:13Z","employer_posted_date":"2026-06-16","last_verified_at":"2026-10-25T17:54:56Z","board_verified":true,"closed_at":null,"days_open":131,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":130},"description":"About the Role\nMost companies are experimenting with AI in their GTM motion. We are not experimenting. We are building an AI-native revenue organization from scratch, and this is the person who leads that build.\nSamba TV's core product is knowing what the world watches, in real time, at scale, across a billion consented devices. The Revenue team should be the most data-intelligent sales org in the industry, with our own data as the unfair advantage. Right now, it is not fully there yet. Your job is to close that gap.\nThere is a massive amount of signal available across our GTM stack. Gong call transcripts, Salesforce pipeline data, Snowflake viewership tables, Slack conversations, inbound intent signals, People AI data, calendar events, Hubspot leads, renewal timelines. Almost none of it is connected in a way that actually helps a seller do their job better. This role exists to change that. You will build the systems that tie those signals together, eliminate the manual thrashing that slows our team down, and create throughput where there is currently friction.\nClaude is our primary AI platform across the Revenue Org. We need someone who is not just a power user but an expert who can architect reliable production systems, train others, and push what is possible in a GTM context. If you have been waiting to work somewhere that treats AI as infrastructure rather than a feature, this is the role.\nWhat You’ll Do\nGTM systems architecture and automation\nDesign and operate multi-agent systems connecting Salesforce, Gong, Slack, Snowflake, and Samba's proprietary TV data assets into unified, real-time GTM workflows\n\nBuild and maintain MCP (Model Context Protocol) servers that give Claude governed, real-time access to our GTM stack, including live Salesforce records, Gong call data, and Samba viewership signals\n\nEliminate manual data transfer and context-switching for sellers by automating the aggregation, summarization, and routing of deal intelligence across tools\n\nCreate RAG pipelines and prompt libraries that give Claude accurate, governed context on our products, prospects, pricing, and competitive landscape\n\nArchitect integrations between AI services and internal systems using Python and APIs, enriching contact and account records with live signals\n\nEvals, reliability, and continuous improvement\nDesign and run structured evals across all production AI systems: measure output quality, accuracy, regression risk, and real business impact, not just vibes\n\nBuild eval frameworks that catch prompt drift, model behavior changes, and degraded tool use before they hit sellers in production\n\nRun A/B experiments across workflows to prove what is actually moving pipeline and revenue, not just what looks good in demos\n\nMonitor agentic systems in production and own the feedback loop: what broke, why, and what the fix is\n\nBe the internal authority on Claude across the Revenue Org: best practices, MCP architecture, prompt engineering standards, and enablement\n\nWrite documentation and run enablement sessions so sellers and operators extract real value from every system you ship\n\nSignal integration across the sales org\nBuild systems that automatically surface deal risk, flag renewal exposure, draft personalized outreach, and score accounts by conversion likelihood using real viewership signals\n\nConnect Gong call intelligence, Salesforce pipeline data, and Samba TV audience signals into a unified account view that sellers can act on without digging through five tools\n\nDesign workflow automation that reduces the cognitive load on sellers so they spend more time selling and less time updating CRM fields, hunting for context, or writing the same email for the 40th time\n\nIdentify the highest-friction points in our GTM process and systematically eliminate them through automation\n\nWho You Are\n3 to 5 years in software engineering, data engineering, or GTM/revenue operations engineering with serious technical depth\n\nYou have owned an AI or automation function, not just contributed to one\n\nProduction-level Python and/or JavaScript; you write, ship, and maintain code others depend on\n\nHands-on LLM production experience: prompt engineering, tool use, multi-turn agentic workflows, RAG\n\nExperience building and operating MCP servers that connect LLMs to live business systems and data sources\n\nA real eval practice: you know how to measure whether an AI system is working, build regression tests, and catch drift before it causes problems\n\nDeep, production-level Claude expertise including the API, structured outputs, tool use, agentic workflows, and system prompt design; you can also teach it and build reliable systems around it\n\nHands-on experience with Claude Code as a primary development environment\n\nSalesforce hands-on (SOQL, APIs, Flows) plus at least one sales engagement platform, preferably Gong\n\nSnowflake and dbt working knowledge for querying and transforming data to support AI workflows\n\nGenuine understanding of sales pipeline mechanics: forecasting, deal inspection, pipeline hygiene, ABM\n\nComfortable in both a command line and a boardroom; you move between implementation and executive conversation without losing either audience\n\nNice to have\nAzure (data services, API management) and Power BI\n\nSlack API and workflow automation (Bolt framework or similar)\n\nAdTech, media measurement, or data-driven intelligence background\n\nLLM orchestration frameworks: LangChain, LlamaIndex, LangGraph\n\nMLOps experience: eval infrastructure at scale, drift monitoring, inference cost management\n\nPrior experience at a high-growth data or media company","description_format":"text","description_chars":5604,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Media & Audience Measurement"],"lifecycle":[{"event":"open","at":"2026-09-06T07:20:12Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3 · green card filings: 1","filings_12m":3,"filings_prev_12m":5,"green_card_filings_12m":1,"median_offered_wage_usd":183750,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":2}],"liveness":{"score":46,"band":"ok","label":"Likely open","p_open":1,"p_active":0.764,"p_room":0.6,"age_days":130,"expected_fill_days":143,"reasons":["conf:3","win:late","crowd:"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":215000,"is_top_pay":true},"html_url":"https://alion.io/job/samba-tv-ai-gtm-engineer","json_url":"https://alion.io/job/samba-tv-ai-gtm-engineer.json","meta":{"generated_at":"2026-10-25T18:41:52Z","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":26451,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":171913},"rest":"https://alion.io/mcp/rest/get_company?id=171913"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsamba-tv-ai-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%2Fsamba-tv-ai-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%2Fsamba-tv-ai-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/samba-tv-ai-gtm-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsamba-tv-ai-gtm-engineer"}]}