Product Marketing - Agent Infrastructure

LangChain, Inc.

Job Overview

Location

San Francisco, CA

Job Type

Full-time

Full Job Description

📋 Description

• As a Senior Product Marketing Manager for Agent Infrastructure at LangChain, you will own the go-to-market strategy for LangSmith’s core infrastructure products—LangSmith Deployment, Sandboxes, and related self-hosted and cloud offerings—enabling enterprises to securely deploy, scale, and manage AI agents in compliance-sensitive environments. Your work will directly influence how technical buyers perceive and adopt LangChain’s platform in high-stakes, security-conscious markets.
• You will lead end-to-end product launches for infrastructure capabilities, collaborating closely with product, engineering, and GTM teams to ensure messaging resonates with platform engineers, DevOps leads, and AI/ML infrastructure teams, differentiating LangSmith in a rapidly evolving and competitive landscape.
• You will own and evolve the positioning, messaging, and narrative for LangSmith’s infrastructure suite, shaping how customers understand deployment flexibility, environment isolation, and scalability—from website copy and sales decks to technical documentation and thought leadership content.
• You will build comprehensive sales enablement assets including battlecards, use case briefs, talk tracks, and objection handling guides tailored to enterprise buyers navigating complex procurement processes involving security reviews, compliance checks, and infrastructure evaluations.
• You will partner with product and pricing teams to inform packaging and pricing decisions for infrastructure products, grounding strategies in market trends, customer feedback, and competitive analysis to support both product-led and sales-led motions.
• You will create compelling customer-facing content such as case studies, technical blogs, webinars, and solution briefs that translate technical capabilities into business outcomes, empowering internal champions and clearing procurement hurdles.
• You will feed insights from customer interactions, win/loss analysis, and competitive trends into the product roadmap, ensuring that engineering and product teams build what enterprises truly need to adopt and expand their use of LangSmith.
• You will work within a high-impact, fast-moving team where your contributions are visible, measurable, and directly tied to LangChain’s enterprise growth—helping define the GTM playbook for AI infrastructure at a pivotal moment in the industry.

🎯 Requirements

• 4-8+ years of product marketing experience, with proven ownership of positioning and messaging for technical products or platforms from strategy to execution.
• Demonstrated experience marketing developer tools, cloud infrastructure, DevOps platforms, or AI/ML infrastructure, including deep understanding of enterprise buying motions, build vs. buy evaluations, and security/compliance-driven procurement.
• Ability to engage technically with platform engineers, security architects, and senior leaders—asking insightful questions about deployment topologies, container orchestration, network isolation, and environment management—and translating those insights into clear, customer-centric messaging.

🏖️ Benefits

• Direct impact on business outcomes: Your work will unlock enterprise adoption in security-conscious, high-value accounts where LangSmith infrastructure is critical to closing deals.
• Opportunity to shape the narrative around AI agent infrastructure at a transformative time, as LangChain builds the platform defining how teams deploy, isolate, and manage AI workloads.
• Real scope and ownership on a growing team: You’ll help build the enterprise infrastructure GTM playbook from the ground up in a fast-moving, high-bar environment that values shipping and iteration.

Skills & Technologies

Kubernetes

DevOps

Onsite

$210k-235k

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LangChain, Inc.

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About LangChain, Inc.

LangChain, Inc. provides open-source software libraries and cloud services for building applications that integrate large language models with external data sources and workflows. Its tools help developers create retrieval-augmented generation systems, manage prompts, chain model calls, and monitor performance in production environments. The company was founded in 2023 and is headquartered in San Francisco, California.

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