The Role
Lead the development of Samba’s AI-native go-to-market infrastructure. Build multi-agent systems, MCP servers, RAG pipelines, evaluation frameworks, and Claude integrations across Salesforce, Gong, Slack, Snowflake, and advertising data. Create deal intelligence, seller automation, governed AI workflows, and enablement standards while reducing manual revenue operations work.
Summary Generated by Built In
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.
The 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.
Most 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.
- Architect 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.
- 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.
- 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.
- Run 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.
- Own 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.
- Surface 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.
- 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.
What You Bring
- 3+ 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.
- Production-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.
- Deep 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.
- Hands-on Salesforce (SOQL, APIs, Flows) and a sales engagement platform, preferably Gong, plus Snowflake and dbt for querying and transforming data.
- Genuine 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.
- Preferred: Azure data services and API management, Power BI, Slack API automation (Bolt or similar), and LLM orchestration frameworks like LangChain, LlamaIndex, or LangGraph.
- Comfortable in both a command line and a boardroom, able to teach what you build; high-growth data or media company experience a plus.
Compensation
$175,000 - $215,000 a year (OTE)
Samba 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.
Samba is an equal opportunity employer.
Your personal information
We 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.
Use of AI in hiring
We may use AI tools to help review applications, analyze resumes, or assess responses. These tools support our recruiting team. People make every hiring decision. To learn more about how we process your data, please reach out.
Skills Required
- 3+ years of experience in software, data, or revenue-operations engineering
- Experience owning an AI or automation function and delivering solutions in a competitive market
- Production-level Python and/or JavaScript experience
- Hands-on LLM experience with prompt engineering, tool use, agentic workflows, and RAG
- Experience with AI evaluation practices, including regression testing, drift monitoring, and cost management
- Production-level Claude expertise including APIs, structured outputs, tool use, agentic workflows, and system prompts
- Experience building MCP servers against live systems
- Daily Claude Code usage
- Hands-on Salesforce experience with SOQL, APIs, and Flows
- Experience with a sales engagement platform, preferably Gong
- Experience with Snowflake and dbt for querying and transforming data
- Understanding of pipeline mechanics, forecasting, deal inspection, pipeline hygiene, and account-based marketing
- Azure data services and API management experience
- Power BI experience
- Slack API automation experience using Bolt or similar
- Experience with LangChain, LlamaIndex, or LangGraph
- Adtech, media measurement, or data-intelligence background
- Experience at a high-growth data or media company
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The Company
What We Do
Samba is a media-intelligence company that combines consented first-party viewership data from streaming, linear TV, the web, and video games with AI to map content, audiences, and outcomes. Its platform gives advertisers, publishers, and media platforms insight into audience behavior and supports campaign planning, targeting, measurement, and optimization across channels. Samba’s data and analytics help clients understand audiences and make marketing decisions.
