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Tier-1 employer, remote role, and a common senior manager title create high candidate competition.
Specialized GTM, Salesforce, and LLM engineering requirements raise industry specificity and reduce transferability.
Explicit 8+ years and mandatory Salesforce, LLM, AWS, and management requirements make filters strict.
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Lead and develop a team of 4–7 senior engineers building AI orchestration engines, Salesforce/CRM/PRM integrations, and agentic workflows for global sales operations.
Stay hands-on by contributing to system architecture, code/design reviews, and owning technical decisions for critical GTM AI systems.
Own the engineering roadmap, collaborating cross-functionally with Sales Ops, BizTech, Finance, and GTM leadership to deliver scalable AI-first GTM systems with high engineering quality and responsible AI practices.
8+ years software engineering experience with at least 2 years in engineering management or tech lead role with direct reports.
Strong expertise in Python (production services, async processing, LLM integration) and TypeScript/JavaScript (React, Node.js).
Hands-on Salesforce platform experience including REST/Bulk/Streaming APIs, SOQL, CPQ/Steelbrick, platform events, and flow automation.
Proven experience building and deploying LLM-powered systems using OpenAI API, Anthropic API, LangChain, LangGraph, or equivalent agentic frameworks; Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Technical leader comfortable balancing deep hands-on coding with people management and career development.
Experienced in building and scaling AI-first sales technology platforms in high-growth B2B SaaS environments, particularly GTM engineering and RevOps tooling.
Skilled collaborator and communicator who can translate complex technical decisions to executive-level non-technical stakeholders and drive engineering quality and responsible AI culture.