> Markdown version of [/jobs/ext/1890312-ai-gtm-engineer](https://www.wearedevelopers.com/jobs/ext/1890312-ai-gtm-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI GTM Engineer - **Company:** Special Agents Mutual Benefit Association - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $175,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Business Systems, Command-Line Interface, Data as a Services, Data Transmissions, Information Engineering, Data Transformation, Integrated Development Environments, Python (Programming Language), Regression Testing, Reliability Engineering, Power BI, Salesforce.Com, Samba (Software), Software Engineering, Systems Architecture, Scripting, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, AI Platforms, Slack, Data Analytics, Star Schema, Salesforce Object Query Language (SOQL), Build Tools, Machine Learning Operations, Automation Anywhere, Api Management - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-gtm-engineer-san-francisco-ca--cc153e6d-3a63-41b2-856c-0014ccc4c833 ## About the Role * 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, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Business Solutions, Command Line, Continuous Improvement, Cost Control, Customer Conversion, Customer Relationship Management (CRM), Documentation, Entertainment and Media, Forecasting, Hunting, JavaScript, MCP - Microsoft Certified Professional, Microsoft Windows Azure, Organizational Skills, Power BI, Pricing, Production Systems, Python Programming/Scripting Language, Quality Metrics, Regression Testing, Reliability Engineering, Risk, Sales, Sales Pipeline, Salesforce.com, Samba, Slack, Snowflake Schema, Software Engineering, System Architecture, Training/Teaching ## Description 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., * 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 ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Stack Overflow: Community and AI](https://www.wearedevelopers.com/videos/600-stack-overflow-community-and-ai) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [Got AI ideas but no money? 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