What we do:

GTM Engineering builds the internal products and AI systems that make our sellers, traders, and account teams faster and sharper — from sprint and pipeline dashboards to agentic assistants that prep a rep before a call or flag a deal at risk before it slips. We sit at the intersection of engineering, data, and revenue strategy, shipping tools that directly move the needle on revenue growth and sales productivity.

What you'll do:

• Architect and build agentic systems that automate and augment GTM workflows — pipeline hygiene, account research, call prep, deal risk scoring, forecasting, and rep coaching — using LLM orchestration frameworks( Ex: LangGraph ).
• Define the agentic platform strategy for the pod: agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails for revenue-critical workflows.
• Integrate core GTM systems (Salesforce, Outreach, ZoomInfo, Slack, and Confidential (Registered Users Only)'s own platform data) as agent-accessible tools and data sources via internal data platforms and MCP-style interfaces.
• Set the technical bar for the pod — reviewing designs, establishing engineering standards, and leading architectural reviews across the GTM Engineering roadmap.
• Partner directly with Product, Sales, Trading, and RevOps leadership to translate agentic capability into measurable outcomes — pipeline velocity, forecast accuracy, rep ramp time, and sales productivity — and mentor engineers in the pod on AI-first thinking.

Who you are:

• BS degree in Engineering related discipline and 8+ years of software engineering experience, with at least 2 years building production LLM or agentic applications (agents, RAG pipelines, tool-use, multi-agent orchestration).
• Deep fluency in Python and TypeScript/JavaScript, with hands-on experience in agentic frameworks — LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
• Strong command of enterprise integration patterns: REST/GraphQL APIs, event-driven architecture, and connecting SaaS GTM platforms (CRM, sales engagement, data enrichment) programmatically.
• Experience building full-stack applications end to end — from data pipelines and backend services to the front-end tools sellers and traders actually use daily.
• Track record as a technical lead: driving architectural decisions, writing RFCs, and raising the quality bar across a team without relying on management authority.

Nice to have:

• Prior experience in Sales/RevOps tooling, GTM engineering, or internal tooling domains — especially in ad tech, media, or programmatic advertising.
• Familiarity with Salesforce, Outreach, Gainsight, or similar GTM platforms — especially via API or integration layer.
• Experience evaluating and red-teaming LLM agents for safety, reliability, and correctness in revenue-critical business contexts.
• Exposure to media buying, campaign performance data, or advertising analytics. #LI-TP1

Confidential (Registered Users Only) does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Confidential (Registered Users Only). Confidential (Registered Users Only) is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] Confidential (Registered Users Only) will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.