About Us

About the Role

LangChain is looking for a GTM Enablement Program Manager to help keep our growing go-to-market organization informed, enabled, and ready to execute as our products and company evolve.

We operate in one of the fastest-moving areas of technology. Our products evolve quickly, new capabilities launch frequently, and the knowledge our GTM teams rely on is constantly changing. As we scale, we need a strong operating system that ensures sellers understand what we're building, why it matters, how to talk about it, and where to find the information they need.

This role will own three critical areas of our enablement engine: Product Enablement, GTM Knowledge & Content, and Enablement Communications.

You'll partner closely with Product, Engineering, Product Marketing, Sales, and Revenue Operations to turn product changes and company knowledge into scalable training, resources, communications, and systems for GTM.

Working with cross funtional subject matter experts, your job is to turn messaging, trainings, and artifacts into field readiness—making sure GTM can learn it, find it, understand it, and use it.

What You'll Do

Own Product Enablement

• Own the product enablement engine. Stay closely connected to Product, Engineering, and Product Marketing to understand what's changing, determine the impact to GTM, and partner with these SMEs to build practical field enablement.

• Own GTM readiness for product launches and major changes. Build the enablement plan from initial intake through launch, including training, communications, resource publication, reinforcement, and ongoing maintenance.

• Build and maintain product training. Create and continuously improve product curriculum in our LMS and Content Hub so sellers have a clear learning path across our platform, products, use cases, positioning, and value.

• Run live product enablement. Determine when asynchronous learning isn't enough, coordinate the right SMEs, and facilitate live sessions, workshops, demos, and deeper product training.

• Measure readiness and close gaps. Use feedback, participation, knowledge checks, field questions, and other signals to understand where GTM needs additional reinforcement.

Own GTM Knowledge & Content

• Own the GTM knowledge system. Make it easy for sellers to quickly find accurate, relevant, and current information across our Content Hub, LMS, and other GTM systems.

• Build scalable information architecture and governance. Establish clear taxonomy, templates, ownership, review cadences, freshness standards, and archival processes that keep GTM knowledge organized and current.

• Manage the content lifecycle. Ensure training, product resources, competitive guidance, FAQs, recordings, and other enablement materials stay current as the business changes—and remove or archive information that is no longer relevant.

• Operationalize canonical GTM content. Partner with Product Marketing and other subject matter experts to ensure approved messaging, competitive guidance, objection handling, and other core GTM knowledge is consistently structured, maintained, and accessible.

• Build for humans and AI. Structure GTM knowledge so both sellers and AI-powered tools can reliably retrieve and use accurate context. Explore ways AI can improve content discovery, maintenance, gap detection, and enablement workflows.

Own Enablement Communications & Cadence

• Own the GTM enablement communications engine. Manage Weekly Trace and other recurring enablement communications, consolidating product, program, and company updates into clear guidance for the field: What changed? Why does it matter? Where can I learn more? What do I need to do?

• Run our recurring enablement cadence. Own the operational execution behind weekly enablement, including the calendar, SME coordination, materials, recordings, recaps, and follow-through.

• Create signal from noise. Build predictable ways for GTM to stay current without requiring sellers to monitor dozens of Slack channels, documents, and product updates.

• Improve the enablement operating system. Identify breakdowns in how information moves from Product, Engineering, Product Marketing, and other teams into GTM—and build scalable systems rather than continually working around them.

What We're Looking For

• 4+ years of experience in GTM enablement, product enablement, sales enablement, enablement operations, or a related role in a B2B technology company.

• Experience owning product enablement programs, including product launches, training, ongoing curriculum, and field communications.

• Experience building or managing product training for Sales or broader GTM audiences.

• Strong technical curiosity. You don't need to be an engineer, but you should want to understand technical products deeply enough to explain them clearly and accurately.

• Ability to translate complex product information into practical seller guidance: what it is, why it matters, who it's for, how to position it, and when to use it.

• Experience organizing and maintaining a GTM knowledge or content system—not just creating individual pieces of content.

• Strong understanding of content governance, information architecture, taxonomy, and knowledge lifecycle management.

• Strong written communication skills and the ability to turn a large volume of information into clear, concise, actionable guidance.

• Strong program management skills. You can manage multiple workstreams, SMEs, launches, deadlines, and recurring programs without losing the details.

• High ownership and follow-through. You don't wait for someone to tell you that a launch isn't ready, information is outdated, or a process is broken—you proactively drive it to resolution.

• A builder mentality. You're comfortable starting with an imperfect system, creating a V1, learning from users, and continuously improving it.

• Experience working cross-functionally with Product, Engineering, Product Marketing, Sales, and Revenue Operations.

• AI fluency and curiosity about how structured knowledge can power agents, search, content generation, and internal GTM workflows.

• Experience with knowledge-management platforms such as Notion and learning-management systems such as WorkRamp is a plus.

• Familiarity with developer tools, AI/ML infrastructure, LLM applications, or agentic AI is a plus.

Compensation: $150,000-180,000 base salary + options