Lead AI Engineer – GTM Systems

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and take ownership of the technical vision for AI-driven GTM systems encompassing low-code automation and customized agentic AI implementations.

• Develop and disseminate reference architectures, design patterns, and decision-making frameworks for GTM engineering.

• Lead the architectural design of complex GTM systems, including integrations, agentic workflows, event processing, and data orchestration.

• Assess, choose, and promote the use of emerging AI tools, frameworks, and platforms.

• Act as the technical expert on LLM orchestration, prompt safety, RAG, model context management, tool invocation, multi-agent coordination, and responsible AI practices.

• Manage the integration architecture strategy, which encompasses APIs, event contracts, and data models.

• Establish governance, extensibility patterns, and operational standards for low-code automation.

• Collaborate with VP-level GTM stakeholders to develop architectural roadmaps that include trade-offs, timelines, and success criteria.

• Conduct architecture reviews and promote enhancements in system design quality.

• Create white papers, architecture decision records, and engineering documentation.

• Work closely with GTM engineering leadership, Sales Ops, BizTech, and executive stakeholders.

• Design, prototype, and implement organization-wide patterns for GTM engineering.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

• Over 10 years of software engineering experience in building and delivering production-grade backend systems.

• At least 3 years of experience in a Technical Lead role.

• Proven experience in personally developing and deploying AI agents utilized by real end users.

• Hands-on expertise with LLM orchestration and agentic frameworks such as LangGraph, LangChain, CrewAI, or LlamaIndex.

• Experience in designing and implementing RAG systems, including vector databases, retrieval strategies, chunking methods, and embedding pipelines.

• Strong foundation in backend engineering with Python and/or Node.js, FastAPI or similar technologies, and asynchronous/event-driven architecture patterns.

• Experience with AWS services including Bedrock, Lambda/serverless, SQS/SNS/EventBridge, or equivalent cloud-native infrastructure.

• Excellent communication skills and the ability to engage directly with non-technical business stakeholders.

• Preferred qualifications include knowledge of LLM evaluation and observability tools, familiarity with sales/deal desk/finance workflows, experience with FastMCP, LiteLLM or MCP, exposure to Salesforce data sources, a background in AI for GTM or RevOps, mentoring or hiring experience, prompt engineering, model tuning, LLM provider knowledge, and full-stack development experience.

🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Ongoing equity refresh opportunities linked to performance.

• Performance-based bonus/variable pay.

• Above-market total compensation.

• Flexible, employee-led remote work model.

• Professional development stipend.

• Comprehensive health plans.

• Parental leave plans.

• Flexible working model.

• Career development opportunities.

• Opportunities to experiment and excel in your craft.

• Supportive, high-caliber team environment.