{"id":3297105,"url":"https://alion.io/job/samba-ai-gtm-engineer","title":"AI GTM Engineer","company":{"id":1800218,"name":"Samba","domain":"samba.com","url":"https://alion.io/company/samba-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":{"grade":"C","score":67,"open_postings":44,"ghost_share":0.545,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-27T05:46:45Z"}},"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":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","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":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Power BI","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}],"status":"live","first_seen_at":"2026-06-16T13:58:13Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-27T20:55:27Z","board_verified":true,"closed_at":null,"days_open":133,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":132},"description":"Samba connects the advertising industry. Today, a trillion dollars of media flows through platforms that don’t talk to each other, and each one measures its own results. We built the independent alternative: consented first-party data and AI that give the world’s biggest advertisers, publishers, and platforms one clear view across all of it.\nThe next era of advertising will run on AI agents, and those agents will need data they can trust. We’re building that foundation, and the agents that act on it. Join us and help build what the industry runs on.\nAbout the Role\nMost companies are experimenting with AI in go-to-market. Samba is building an AI-native revenue organization from scratch, and you lead that build. The signal exists in Gong, Salesforce, and Snowflake, but almost none reaches a seller. Claude is our primary platform; AI here is infrastructure, not a feature.\nWhat You'll Do\nArchitect the GTM Stack: Design multi-agent systems connecting Salesforce, Gong, Slack, Snowflake, and Samba's TV data into real-time workflows, integrating AI services with internal systems in Python.\n Build MCP Servers: Build and maintain Model Context Protocol (MCP) servers giving Claude governed, real-time access to live Salesforce records, Gong call data, and Samba viewership signals.\n Ground Claude in Context: Create retrieval-augmented generation (RAG) pipelines and prompt libraries giving Claude governed context on Samba's products, prospects, pricing, and competitive landscape.\nRun Real Evals: Run structured evals across production AI systems, building frameworks that catch drift and degraded tool use, A/B testing what moves pipeline, and monitoring production.\nOwn Claude Enablement: Be the internal authority on Claude across Revenue, setting MCP and prompt-engineering standards, writing documentation, and running enablement for sellers and operators.\nSurface Deal Intelligence: Build systems that flag deal risk and renewal exposure, score accounts by conversion likelihood, draft outreach, and unify Gong, Salesforce, and viewership signals into one account view.\n Remove Seller Friction: Identify the highest-friction points in go-to-market and eliminate them through automation, cutting manual data transfer and context-switching so sellers spend more time selling.\nWhat You Bring\n3+ years in software, data, or revenue-operations engineering, having owned an AI or automation function rather than contributed to one, and delivered in a competitive market.\nProduction-level Python and/or JavaScript, hands-on LLM experience across prompt engineering, tool use, agentic workflows, and RAG, plus eval practice at scale: regression tests, drift monitoring, cost management.\nDeep production-level Claude expertise across the API, structured outputs, tool use, agentic workflows, and system prompts, plus MCP servers against live systems and daily Claude Code use.\nHands-on Salesforce (SOQL, APIs, Flows) and a sales engagement platform, preferably Gong, plus Snowflake and dbt for querying and transforming data.\nGenuine understanding of pipeline mechanics, including forecasting, deal inspection, pipeline hygiene, and account-based marketing (ABM), with an adtech, media measurement, or data-intelligence background a plus.\nPreferred: Azure data services and API management, Power BI, Slack API automation (Bolt or similar), and LLM orchestration frameworks like LangChain, LlamaIndex, or LangGraph.\nComfortable in both a command line and a boardroom, able to teach what you build; high-growth data or media company experience a plus.\nCompensation\n$175,000 - $215,000 a year (OTE)\nSamba expects to offer on-target earnings (OTE) of $175,000 to $215,000 per year for roles to be performed in California; OTE comprises base salary plus target variable compensation, and actual earnings will depend on various factors, including but not limited to, location, experience, performance, and attainment against targets. OTE is one component of Samba's total compensation package for employees. Other rewards may include long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.\nSamba is an equal opportunity employer.\nYour personal information\nWe collect personal information directly from you when you apply. Where the law permits, we may also receive it from third parties, such as through background, employment, or reference checks. For details, see Samba’s Applicant Privacy Policy. For EU residents, Samba Inc. is the data controller.\nUse of AI in hiring\nWe may use AI tools to help review applications, analyze resumes, or assess responses. These tools support our recruiting team. People make every hiring decision. 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