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TechLead,GTMAppliedAI&Analytics
“Tech Lead, GTM Applied AI & Analytics at LinkedIn. Skills: Agentic AI, LLM Application Development, GTM Systems Integration, Python. Architect & Build agentic workflows. Develop AI-powered applications”
Industry & Context.
Reduce friction; Accelerate execution; Solve GTM business problems; Optimize for quality and efficiency
What They're Looking For.
Must Have
2+ years of experience building tools, workflows, or products for GTM functions (Sales, Marketing, Customer Success, Revenue Operations), or embedded directly within a GTM, Sales Ops, or Revenue Operations team, SQL experience with large-scale data warehouses (e.g. , Presto, Trino, Spark SQL), 1+ years of experience with GenAI technologies, LLM APIs, and agent frameworks (e.g. , LangChain, LangGraph, LlamaIndex, or equivalent), 1+ years of architecting, building, and deploying AI-powered applications, agents, or automated solutions in production environments, BAS in Computer Science, Statistics, Operations Research, Engineering, or a related quantitative field (or equivalent practical experience)
Nice to Have
Working knowledge of the lead-to-revenue lifecycle, sales processes, and customer journey, Experience in software engineering, applied AI, data science, or analytics engineering, with a track record of shipping production systems, Experience integrating with GTM systems such as Salesforce/Dynamics, Outreach, Gong, Marketo, or Slack, Experience designing evaluations, guardrails, and monitoring for LLM-based systems, Experience as an "AI builder" or "automation lead" embedded within a GTM, Revenue Ops, or Sales Strategy team at a B2B SaaS company, Proven ability to lead ambiguous, complex technical initiatives from 0 to 1, Demonstrated experience influencing technical roadmaps in fast-moving environments, Resilient, resourceful, and self-directed with a bias for action, Passion for AI with a clear, strategic perspective on applying agentic systems to drive business outcomes
What You'll Do.
Architect & Build agentic workflows
Develop AI-powered applications
Automate GTM processes
Automate Product Experience processes
Define agentic AI roadmap
Write production-ready Python and SQL
Build agentic workflows
Maintain agentic workflows
Develop GTM integrations
Orchestrate GTM toolkit
Apply agentic patterns
Mentor colleagues on AI tooling
Set high bar for technical rigor
Establish KPIs for agents
Optimize for quality and efficiency
Implement guardrails for agents
Translate technical concepts
Collaborate with Product teams
Collaborate with Engineering teams
Collaborate with Data Science teams
Scale agentic systems
How You'll Work.
Team & Collaboration
Partner with R&D; Partner with Operations; Partner with Data Science; Partner with Engineering teams; Collaborate with Product teams; Collaborate with Engineering teams; Collaborate with Data Science teams
Communication Scope
Executive Storytelling; Translate complex technical concepts; Clear, concise, and actionable narratives
Process & Methodology
Own complex initiatives end-to-end, Lead ambiguous, complex technical initiatives
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