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LangChain

Builds open-source tools for making AI agents

Head of GTM Enablement

Sales OperationsUpdated on Nov 14
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 10 years of relevant experience in GTM enablement within high-growth B2B SaaS organizations, including significant leadership experience.
  • A demonstrated track record of building and scaling global enablement teams and programs across multiple regions.
  • Experience supporting complex enterprise sales motions for technical products and enabling multiple GTM roles across use cases, buyer types, and the full buyer and customer lifecycle.
  • Practical AI fluency, including judgment to lead strategy and orchestration, determine what AI can carry, define the knowledge behind it, and identify where human judgment remains in the loop.
  • Experience standing up or governing a shared knowledge or content system used by multiple teams and tools.
  • Deep expertise in enterprise sales methodologies such as MEDDPICC, Command of the Message, Challenger, or Value Selling, and a practical approach to embedding them into field execution.
  • Proven success designing onboarding, ongoing learning, product enablement, and manager coaching programs.
  • Experience partnering with systems and engineering teams to deliver enablement technology, with enough fluency to set requirements without owning the platforms.
  • Strong analytical skills, including evaluating program effectiveness and communicating business impact to executive stakeholders.
  • Communication, storytelling, and cross-functional influence skills.
  • Credibility with field leaders and sellers, and judgment to recognize when conversation or coaching will move behavior more than a scalable program.
  • Ability to define strategy, systems, and standards while staying close to execution in a fast-moving environment.

Responsibilities

  • Define and execute a GTM enablement strategy aligned with revenue growth, customer expansion, and market priorities.
  • Partner with executive and regional leaders to identify capability gaps and execution bottlenecks, and direct investment toward high-impact opportunities.
  • Own enablement planning, budget, governance, and operating cadence, with clear priorities, ownership, and success measures across onboarding, technical and product enablement, and outbound enablement.
  • Decide where AI changes the enablement model and where human-led work remains, and set the standard for the rest of GTM.
  • Develop role-based enablement for Account Executives, Account Managers, Sales and Business Development Representatives, Partner/Channel Managers, Customer Engineering, and Deployed Engineering.
  • Tailor programs by segment, industry, and geography where doing so improves execution, preparing teams to support multiple use cases, buyer types, and platform opportunities.
  • Design and scale role-based 30/60/90-day onboarding that accelerates time to productivity and, for sellers, time to first deal.
  • Establish continuous learning, coaching, and certification programs that reinforce skills beyond onboarding.
  • Embed enterprise sales methodologies into day-to-day workflows, deal reviews, and pipeline inspections.
  • Equip frontline managers to reinforce skills, inspect execution, and coach consistently, making enablement part of team operations.
  • Structure programs so their knowledge can be reused by AI-assisted practice, reinforcement, and certification, extending reach without proportional headcount.
  • Maintain human coaching where it changes behavior, extending program reach without replacing skill-building conversations.
  • Partner with Product Management and Product Marketing to deliver timely, role-specific training and certification as new capabilities launch.
  • Own internal training, practice, and reinforcement behind customer-facing messaging and assets so GTM teams apply them effectively.
  • Turn product and market expertise into current, accessible playbooks, competitive guidance, demo guides, and value-selling resources for customer conversations.
  • Own decisions about which assets are canonical so teams and tools use the same version as products and markets change.
  • Turn patterns from customer conversations, deal outcomes, and field feedback into updates to shared knowledge.
  • Build, coach, and develop a high-performing enablement team supporting members across the Americas, EMEA, and APAC.
  • Establish decision rights and collaboration practices across global and regional teams, balancing consistency with local market needs and competitive dynamics.
  • Hire and develop talent for knowledge architecture and program strategy so the function can operate without depending on the role holder.
  • Set the enablement technology vision across learning, content management, and conversation intelligence, and work with GTM Systems and GTM Engineering to execute it, including embedding enablement into workflows.
  • Define canonical GTM content, ownership, and maintenance practices so GTM Systems and GTM Engineering tools operate from one source.
  • Lead orchestration across GTM Systems, GTM Engineering, Product Marketing, and Revenue Operations, setting requirements for how tools consume, refresh, and contribute to shared knowledge.
  • Build measurement frameworks and executive reporting that connect enablement investments to skill application, behavior change, pipeline, and revenue across roles and regions.
  • Use performance data, manager input, and field feedback to improve programs and prioritize resources.

Desired Qualifications

  • Experience leading or enabling customer-facing technical teams, such as Customer Engineering, Deployed Engineering, or Solutions Engineering, alongside a revenue organization.

About the Company

LangChain

Builds open-source tools for making AI agents

LangChain makes free, open-source code libraries and a paid platform that software teams use to build and run AI agents, programs that use large language models to plan and finish tasks on their own. Its first library came out in October 2022, a month before ChatGPT, and in 2023 GitHub listed it among the open-source projects with the most contributors. Developers write agents with its LangChain, LangGraph, and Deep Agents libraries, which connect AI models to company data and software tools. Companies then pay for LangSmith, a platform that records each step an agent takes, scores its answers, and hosts finished agents. LangChain was founded in 2023 and is based in San Francisco.

Company size
201-500
Company stage
Late Stage VC
Total funding
$460M
Headquarters
San Francisco, CA
Founded
2023

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