Product Marketing Manager

LangChain, Inc.

Job Overview

Location

San Francisco, CA

Job Type

Full-time

Full Job Description

📋 Description

• As a Product Marketing Manager at LangChain, you will own the go-to-market strategy for LangSmith Observability and Evaluation—two core products that empower engineering teams to build, monitor, and optimize reliable AI agents at scale. Your work will directly influence how technical buyers perceive and adopt LangChain’s infrastructure in a rapidly evolving AI landscape, making your role critical to the company’s growth and market positioning.
• You will lead end-to-end product launches for new LangSmith capabilities, collaborating closely with product, engineering, and GTM teams to ensure messaging resonates with senior engineers and AI/ML leaders. This includes crafting launch narratives, coordinating cross-functional efforts, and measuring impact in a market where innovation cycles are measured in weeks, not quarters.
• You will own and evolve the positioning, messaging, and overarching narrative for LangSmith Observability and Evaluation, ensuring consistency across all customer touchpoints—from the website and sales decks to conference talks and content assets—so that LangChain stands out in a crowded market of AI-native observability and evaluation tools.
• You will build comprehensive sales enablement assets, including battlecards, talk tracks, objection handling guides, and customer-facing storytelling materials, specifically tailored to help the sales team win enterprise deals with technical buyers who demand deep product understanding and clear differentiation.
• You will continuously monitor the competitive landscape of AI infrastructure, observability, and evaluation platforms, synthesizing insights into actionable differentiation strategies that hold up under technical scrutiny and inform product, pricing, and packaging decisions.
• You will create high-impact content such as customer stories, technical use cases, solution briefs, and thought leadership pieces that empower technical champions to advocate for LangSmith internally and help enterprise buyers understand the business value of adopting LangChain’s agent engineering platform.
• You will synthesize qualitative and quantitative feedback from customer conversations, win/loss analysis, and market trends into clear, actionable insights that directly influence the LangSmith product roadmap, ensuring that development priorities align with real customer needs and market opportunities.
• You will partner with product and finance teams on pricing and packaging strategies as LangSmith evolves, bringing market intelligence and customer feedback to bear on decisions that impact adoption, expansion, and revenue growth.

🎯 Requirements

• 5-8+ years of product marketing experience, with a proven track record of owning positioning and messaging for technical products or platforms end-to-end, not just contributing to it.
• Demonstrated experience marketing developer tools, AI/ML infrastructure, or observability/monitoring platforms, with a deep understanding of how technical buyers evaluate, adopt, and expand software solutions.
• Exceptional written communication skills, with the ability to craft clear, compelling product messaging, solution briefs, and enablement materials tailored to technical audiences.

🏖️ Benefits

• Direct impact on revenue: Your work will drive adoption and expansion of LangSmith Observability and Evaluation, core products that are central to LangChain’s business growth.
• Opportunity to shape the narrative of AI agents: You’ll help define how the market understands and adopts the next generation of software engineering, working at the forefront of the agent ecosystem.
• High-autonomy, fast-moving environment: Join a small, scaling team where you’ll help build the GTM playbook, ship quickly, and see the direct results of your efforts without bureaucratic delays.

Skills & Technologies

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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