> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # AI GTM Engineer Canonical URL: https://nextmove.md/fde/jobs/6af92266eeb5fd35 Samba TV posts a FDE role to build for teams inside the company in San Francisco, CA with no pay posted. Design and operate multi-agent systems connecting Salesforce, Gong, Slack, Snowflake, and Samba's proprietary TV data into unified real-time GTM workflows Read from the employer’s posting on November 8, 2026. - [Samba TV](https://nextmove.md/fde/companies/samba-tv) Posted Jun 16, 2026 by Samba TV · open on Lever as of Nov 8, 2026 Pay not posted San Francisco, CA On-site Full-time Design and operate multi-agent systems connecting Salesforce, Gong, Slack, Snowflake, and Samba's proprietary TV data into unified real-time GTM workflows - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F6af92266eeb5fd35&placement=top) - [View posting at Samba TV](https://jobs.lever.co/sambatv/1eb9e4ee-d524-4825-a3ed-d906e1533524/apply) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay Not posted Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds for teams inside the company Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: Internal teams - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **3+ years** software engineering, data engineering, or GTM/revenue operations engineering Background - **Software engineering** - **Implementation and data engineering** ### Do you meet what the posting states? The posting asks for 3+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in San Francisco, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: San Francisco, CA - **Work arrangement**: On-site - **Employment type**: Full-time ## More like this [Rubrik](https://nextmove.md/fde/companies/rubrik) ### [Senior AI Engineer, Agentic Systems](https://nextmove.md/fde/jobs/75ba2b037647994d) Palo Alto, CA 3w ago $188,500–$282,700 [AssemblyAI](https://nextmove.md/fde/companies/assemblyai) ### [Senior GTM AI Engineer](https://nextmove.md/fde/jobs/f11b9f241b74e158) San Francisco, CA 2mo ago $160,000–$220,000 [LinkedIn](https://nextmove.md/fde/companies/linkedin) ### [AI Architect - SaaS GTM Tech & Analytics | IC4](https://nextmove.md/fde/jobs/5059032a435a0a6f) San Francisco, CA · Sunnyvale, CA · +2 more Hybrid 2w ago $141,000–$231,000 - [Other jobs at Samba TV (1)](https://nextmove.md/fde/companies/samba-tv) ## The job description from Samba TV Posted by Samba TV on Jun 16, 2026 **Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. ** ### About the Role Most 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. Samba 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. There 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. Claude 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. ### What You’ll Do ### GTM systems architecture and automation - Design and operate multi-agent systems connecting Salesforce, Gong, Slack, Snowflake, and Samba's proprietary TV data assets into unified, real-time GTM workflows - Build 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 - Eliminate manual data transfer and context-switching for sellers by automating the aggregation, summarization, and routing of deal intelligence across tools - Create RAG pipelines and prompt libraries that give Claude accurate, governed context on our products, prospects, pricing, and competitive landscape - Architect integrations between AI services and internal systems using Python and APIs, enriching contact and account records with live signals ### Evals, reliability, and continuous improvement - Design and run structured evals across all production AI systems: measure output quality, accuracy, regression risk, and real business impact, not just vibes - Build eval frameworks that catch prompt drift, model behavior changes, and degraded tool use before they hit sellers in production - Run A/B experiments across workflows to prove what is actually moving pipeline and revenue, not just what looks good in demos - Monitor agentic systems in production and own the feedback loop: what broke, why, and what the fix is - Be the internal authority on Claude across the Revenue Org: best practices, MCP architecture, prompt engineering standards, and enablement - Write documentation and run enablement sessions so sellers and operators extract real value from every system you ship ### Signal integration across the sales org - Build systems that automatically surface deal risk, flag renewal exposure, draft personalized outreach, and score accounts by conversion likelihood using real viewership signals - Connect 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 - Design 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 - Identify the highest-friction points in our GTM process and systematically eliminate them through automation ### Who You Are - 3 to 5 years in software engineering, data engineering, or GTM/revenue operations engineering with serious technical depth - You have owned an AI or automation function, not just contributed to one - Production-level Python and/or JavaScript; you write, ship, and maintain code others depend on - Hands-on LLM production experience: prompt engineering, tool use, multi-turn agentic workflows, RAG - Experience building and operating MCP servers that connect LLMs to live business systems and data sources - A real eval practice: you know how to measure whether an AI system is working, build regression tests, and catch drift before it causes problems - Deep, 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 - Hands-on experience with Claude Code as a primary development environment - Salesforce hands-on (SOQL, APIs, Flows) plus at least one sales engagement platform, preferably Gong - Snowflake and dbt working knowledge for querying and transforming data to support AI workflows - Genuine understanding of sales pipeline mechanics: forecasting, deal inspection, pipeline hygiene, ABM - Comfortable in both a command line and a boardroom; you move between implementation and executive conversation without losing either audience ### Nice to have - Azure (data services, API management) and Power BI - Slack API and workflow automation (Bolt framework or similar) - AdTech, media measurement, or data-driven intelligence background - LLM orchestration frameworks: LangChain, LlamaIndex, LangGraph - MLOps experience: eval infrastructure at scale, drift monitoring, inference cost management - Prior experience at a high-growth data or media company **Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.** Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. ** For further details, please see Samba's ** **Applicant Privacy Policy** **.** ** For residents of the EU , Samba Inc. is the data controller. ** [View posting at Samba TV](https://jobs.lever.co/sambatv/1eb9e4ee-d524-4825-a3ed-d906e1533524/apply) ## About Samba TV Samba TV uses automatic content recognition embedded in smart TVs to measure cross-screen viewership and power audience targeting and ad measurement for brands and agencies. Late-stage private · 200–500 people ## Similar jobs [Patch](https://nextmove.md/fde/companies/patch) ### [Software Engineer - Market Intelligence](https://nextmove.md/fde/jobs/37f1a4334c032ed2) San Francisco, CA Hybrid 4w ago $170,000–$220,000 [Etched](https://nextmove.md/fde/companies/etched) ### [Internal Acceleration, Engineer (Production)](https://nextmove.md/fde/jobs/50520a6cf33f35c2) San Jose, CA On-site 3w ago $150,000–$400,000 [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [Senior AI Engineer](https://nextmove.md/fde/jobs/c6b417fca88c2035) Santa Clara, CA 11d ago $224,000–$356,500 [OpenAI](https://nextmove.md/fde/companies/openai) ### [Software Engineer, Safety Engineering](https://nextmove.md/fde/jobs/830735363503685c) San Francisco, CA Hybrid 2mo ago $207,000–$385,000 [Fluidstack](https://nextmove.md/fde/companies/fluidstack) ### [Forward Deployed Engineer, Infrastructure Development & Delivery](https://nextmove.md/fde/jobs/63088fdb73337a6a) San Francisco, CA On-site 5w ago $224,000–$300,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area) - [Similar jobs that build for teams inside the company](https://nextmove.md/fde/jobs?role=internal-deployment) Hiring at Samba TV and want this page changed or removed? 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