3 months ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$175k - $215k/yr
Responsibilities
- Design and operate multi-agent GTM systems connecting Salesforce, Gong, Slack, Snowflake, and Samba TV data assets.
- Build and maintain MCP servers that provide Claude with governed, real-time access to business systems and data.
- Create RAG pipelines, prompt libraries, and AI integrations for product, prospect, pricing, competitive, and deal intelligence.
- Automate data aggregation, summarization, routing, account enrichment, outreach drafting, deal-risk detection, renewal-risk identification, and account scoring.
- Design and run structured AI evaluations, regression tests, A/B experiments, production monitoring, and feedback loops.
- Serve as the internal Claude authority by establishing best practices, documenting systems, and enabling sellers and operators.
- Identify and eliminate high-friction points in the GTM process through workflow automation.
Requirements
- 3–5 years of experience in software engineering, data engineering, or GTM/revenue operations engineering with serious technical depth.
- Experience owning an AI or automation function and shipping production code others depend on.
- Production-level Python and/or JavaScript experience.
- Hands-on LLM experience with prompt engineering, tool use, multi-turn agentic workflows, and RAG.
- Experience building and operating MCP servers connecting LLMs to live business systems and data sources.
- Experience designing AI evaluations, regression tests, and drift detection practices.
- Deep production-level Claude expertise, including its API, structured outputs, tool use, agentic workflows, and system prompt design.
- Hands-on experience using Claude Code as a primary development environment.
- Hands-on Salesforce experience with SOQL, APIs, and Flows, plus experience with a sales engagement platform, preferably Gong.
- Working knowledge of Snowflake and dbt for querying and transforming data.
- Understanding of sales pipeline mechanics, including forecasting, deal inspection, pipeline hygiene, and ABM.
- Ability to work across technical implementation and executive-level communication.
- Preferred experience with Azure data services or API management, Power BI, Slack API and workflow automation, AdTech or media measurement, LangChain, LlamaIndex, LangGraph, and MLOps.
Tech Stack
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