GTM Enablement Program Manager, Systems & Product
LangChain is hiring a GTM Enablement Program Manager, Systems & Product in San Francisco, United States. It pays $150k-$180k a year and Level rates it ; you can apply on Level.
AI in this role
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
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
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BenefitsBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
How we rate this
GTM Enablement Program Manager, Systems & Product at LangChain rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used LangGraph in your day-to-day work.
- What are the limits of Clay that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents, LangGraph, and Clay. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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