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职位LangChain

Product Marketing Manager

LangChain

Product Marketing Manager

LangChain

San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

必备技能

Go

ABOUT LANGCHAIN:

At Lang Chain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.

Our open source frameworks, Lang Chain and Lang Graph, see 100+ million downloads per month and help developers build agents with speed and granular control. Lang Smith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.

Lang Chain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, and Workday.

ABOUT THE ROLE:

We're looking for a senior PMM to own go-to-market for two of our core products: Lang Smith Observability and Evaluation. Lang Smith Observability gives engineering teams full visibility into agent behavior (tracing, production monitoring, automated insights). Lang Smith Evaluation gives them the confidence to ship (offline and online evals, human feedback, prompt optimization). You'll own messaging in a market that moves weekly, launch new capabilities for a technical audience, and build the enablement that helps our sales team win.

WHAT YOU'LL DO:

  • Lead product launches. AI infrastructure moves fast, and we ship to match. You'll partner with product and GTM to launch new capabilities and products in ways that resonate with technical buyers and stand out in a noisy market.

  • Own positioning, messaging, and the agent narrative for Lang Smith Observability and Evaluation. You'll shape how customers think about Lang Smith products and how we show up in the market, from the homepage to sales decks.

  • Build sales enablement that helps close enterprise deals. Our buyers are senior engineering and AI/ML building agents in production. You'll create the talk tracks, battlecards, and objection handling the sales team needs.

  • Own competitive positioning across established and emerging AI-native observability tools. You'll stay close to the landscape and define differentiation that holds up to scrutiny.

  • Partner on pricing and packaging as products evolve, bringing market and customer observations into decisions.

  • Create content that helps buyers move forward. Customer stories, technical use cases, solution briefs: the materials that help technical champions make the case for Lang Smith internally and help enterprise buyers understand our value.

  • Feed the product roadmap. You'll synthesize customer conversations, win/loss signals, and competitive trends into clear feedback that helps our product teams decide what to build.

WHAT YOU’LL BRING:

  • You have 5-8+ years product marketing experience.

  • You've owned positioning and messaging for a technical product or platform end-to-end, not just contributed to it. You've been the person accountable for the narrative, and you can point to results.

  • You've marketed developer tools, AI/ML infrastructure, or observability/monitoring platforms. You know how technical buyers evaluate software, what moves them to adopt, and what drives expansion.

  • You're comfortable in a room with senior engineers and VP+ leaders. You can follow a technical conversation about tracing, evaluation workflows, or agent architectures, ask good questions, and turn what you learn into clear messaging.

  • You like to ship. You'd rather get something strong out the door and iterate than wait for perfect, without losing the bigger narrative.

  • You write clearly. Your product messaging, solution briefs, and enablement materials are written for the customer.

  • You have a genuine curiosity about how agents are shaping the future of software. You'll be carrying the narrative for Lang Smith's most important products, and that curiosity comes through in the work.

  • You use AI tools in your own work and you're always looking for new ways to increase your effectiveness with them.

  • You know how to tell customer stories that clearly make the case for the products you own.

NICE TO HAVE:

  • Familiarity with the LLM/agent developer ecosystem. You've used or marketed tracing platforms, eval frameworks, or similar AI infrastructure.

  • Experience with both product-led and sales-led GTM motions.

  • Experience partnering with sales on enterprise deals, including enablement, competitive support, and customer-facing storytelling.

  • Exposure to the open-source developer community and how community adoption can work as a GTM advantage.

WHY JOIN:

  • Your work will directly impact the business. Lang Smith Observability and Evaluation drive Lang Chain's revenue. This is a small product portfolio where what you do is visible and measurable.

  • Agents are where software is heading. Lang Chain is at the center of that, and you'll shape how the story gets told to the teams building them.

  • Real scope on a growing team. You're joining a small team that's scaling fast. You'll help build the playbook.

  • A team that ships. We move fast, we hold a high bar, and we don't wait for layers of approval.

COMPENSATION AND LOCATION:

  • Location: San Francisco, CA (strong preference)

  • Annual salary: $210,000 – $235,000 + equity

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关于LangChain

LangChain

LangChain

Series B

A platform that provides open-source frameworks and tools for engineering and deploying language model agents.

51-200

员工数

San Francisco

总部位置

$200M

企业估值

评价

3.4

3条评价

工作生活平衡

2.5

薪酬

3.0

企业文化

2.8

职业发展

3.2

管理层

2.3

35%

推荐给朋友

优点

Working with cutting-edge AI technologies like LangChain and RAG

Hands-on experience building end-to-end AI projects

Exposure to modern applied AI development

缺点

Uncertainty about long-term career prospects and employability

Projects rarely make it to production use

Lack of senior developer mentorship and guidance

薪资范围

13个数据点

Mid/L4

Senior/L5

Mid/L4 · Product Designer

1份报告

$178,619

年薪总额

基本工资

$155,147

股票

-

奖金

-

$178,619

$178,619

面试经验

10次面试

难度

2.7

/ 5

时长

14-28周

录用率

60%

体验

正面 50%

中性 40%

负面 10%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Take-home

4

Technical Interview

5

Virtual Onsite/Final Round

6

Offer

常见问题

System Design

Machine Learning/AI Knowledge

Coding/Algorithm

Technical Architecture

Behavioral/STAR