---
title: 'Business Value Strategist at LangChain'
canonical: 'https://feeny.ai/job/business-value-strategist-langchain-san-francisco-vncwthmwck52'
type: 'job'
last_seen: '2026-11-12'
---

# Business Value Strategist at LangChain

- **Company:** [LangChain](https://feeny.ai/companies/langchain)
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-11
- **Last confirmed live:** 2026-11-12
- **Apply:** https://jobs.ashbyhq.com/langchain/0ea7e53d-9692-42d8-8f2d-a893dca3aef6

## Job description

## About Us

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

At LangChain, Business Value Strategists are trusted thought partners that help our most strategic enterprise customers get the most value out of LangSmith. This is a multi-disciplinary role that sits at the heart of sales, deployed engineering, finance, product and operations. You’ll partner directly with customers to understand their production agent use cases and broader business goals. You’ll work alongside sales & deployed engineering to measure, quantify and articulate the value of customer agents on LangSmith, grounded in usage trends and data. You’ll build financial models that capture the return on investment (ROI) on building agents on LangSmith, and work closely with key customer stakeholders to align on, iterate and track the ROI case over time, to ensure our largest customers are very successful. You’ll also craft the playbook that will serve as the foundation for scaling Business Value practice globally. This is a high-impact role on the agent frontier, working hand-in-hand with the world’s largest enterprises, and helping them define & scale their agent strategy on LangSmith. This role is based in San Francisco or New York.

## What you'll do

- Work closely with customers to understand their production agents, how they use LangSmith, and the business objectives they're solving with agents
- Build a deep understanding of how customers are using LangSmith, which products they are using and why, specific agent use cases, product success stories & feedback, to serve as the baseline for the business value case
- Use customer data to measure agent-bespoke outcome results such as time saved, lower costs, incremental revenue etc. to quantify the impact of agents built on LangSmith
- Communicate the business value case to customer executives, with clear ROI models and defensible assumptions
- Partner with account executives to turn ROI findings or gaps into customer success plans to drive adoption
- Work with product & operations teams to connect usage data with customer results and impact, and help surface those insights directly into LangSmith

## What we're looking for

- 7+ years in value engineering, consulting, strategic finance, investing, or business operations, with experience at a high-growth B2B company
- Experience working directly with enterprise customers and senior decision-makers to influence significant investments
- Strong analytical and financial modeling skills
- Hands-on experience building and using agents, and the curiosity to keep experimenting
- Strategic judgment and creativity: you ask good questions, find opportunities, and make clear recommendations with incomplete information

Salary: $210,000-$240,000 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.

## Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

## About LangChain

## Company Overview
- **One-liner**: LangChain provides an agent engineering platform and open source frameworks that help developers build, evaluate, deploy, and operate reliable AI agents at scale.
- **Entity Type**: Private (Series B, unicorn)
- **Headquarters**: San Francisco, California, United States (with offices in New York, Boston, and Amsterdam)
- **Founded**: Early 2023
- **Founders**: Harrison Chase and Ankush Gola

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Developer Tools, Agent Engineering
- **Target customers**: B2B – developers and engineering teams at enterprises (35% of Fortune 500 are customers) and startups
- **Mission or purpose statement**: “Make intelligent agents ubiquitous” – develop tools that make it easy to build reliable agents that can use data and take actions.

## Products & Services
- **[LangSmith](https://www.langchain.com/)**: Commercial agent engineering platform offering observability, evaluation (LLM-as-judge, human feedback), and deployment. Includes LangSmith Engine for automated issue detection and root cause analysis. Supports Python, TypeScript, Go, and Java SDKs.
- **[LangGraph](https://www.langchain.com/)**: Open source framework for building production agents with low-level control, durable checkpointing, and support for human-in-the-loop, multi-agent swarms, and A2A/MCP protocols.
- **[LangChain](https://www.langchain.com/)**: Original open source framework for building agents quickly with templates and any model provider.
- **[Deep Agents](https://www.langchain.com/)**: Agent harness for autonomous, long-horizon tasks with built-in memory and concurrency.
- **[Fleet](https://www.langchain.com/)**: No-code agent builder that lets non-technical users describe tasks in plain language; agents act across daily tools with enterprise security.

## Market Standing
- **Valuation/Market Cap**: $1.25 billion (unicorn status, per November 2025 Series B round)
- **Key Metric**: Total Funding – $160 million (Seed: $10M led by Benchmark; Series A: $25M led by Sequoia Capital; Series B: $125M led by IVP). Annual Revenue (LinkedIn estimate): $8.5 million.
- **Notable Investors/Partners**: IVP (lead Series B), Benchmark (lead Seed), Sequoia Capital (lead Series A). Customers include Zip, Vanta, Klarna, Workday, LinkedIn, Cloudflare.
- **Growth Signals**:
  - Headcount: 212 employees (+264.8% YoY, +9.9% monthly)
  - 1 billion+ monthly open source downloads
  - 1 billion+ events ingested per day on LangSmith
  - 35% of Fortune 10 are LangSmith customers
  - 6,000+ active LangSmith customers
  - Awards: Forbes AI 50, InfraRed 100, IA40, Enterprise Tech 30
  - Active job postings: 123 (monthly +4.2%, yearly +668.8%)

## Competitive Advantages
- **Open source ecosystem**: LangChain and LangGraph are the most popular open source frameworks for building LLM agents, with a massive community (100M+ monthly downloads) that drives adoption and talent.
- **Full lifecycle platform**: Covers building (open source frameworks), evaluating (LangSmith), deploying (agent server), and operating (LangSmith Engine) – a vertically integrated solution.
- **Framework-agnostic**: LangSmith works with any agent stack (OpenAI, Anthropic, etc.) via SDKs, reducing vendor lock-in.
- **Enterprise trust**: Already embedded in Fortune 500 companies; strong security and compliance features for production AI.

## Strategic Focus
- **Agent reliability**: Investing heavily in evaluation and observability to make agents “reliably good” – the hardest problem in production AI.
- **Long-horizon autonomy**: Deep Agents and Fleet target autonomous, multi-step tasks that require memory and human collaboration.
- **Global expansion**: Offices in US, Europe, and India; hiring across sales, engineering, and customer success to serve a growing international customer base.

## Why Work Here
- **Culture**: Fast-moving, open source–first startup with a mission to shape how the world uses AI. Described as hiring “the best in the business” with a focus on engineering excellence.
- **Work policy**: Hybrid/office presence in San Francisco, New York, Boston, and Amsterdam. Remote roles may exist (not explicitly stated, but global hiring suggests flexibility).
- **Notable perks/engineering culture**:
  - Work on cutting-edge agent technology used by millions of developers.
  - High autonomy and impact – small team with big ambitions.
  - Strong alumni network from top tech companies (AWS, Datadog, HashiCorp, GitLab, etc.).
  - Recent departures include VP of Marketing (Diana Smith, Mar 2026) – indicates some churn, but overall rapid hiring.
  - Active job postings across engineering, sales, product, and consulting – strong growth trajectory.

## Sources
1. [langchain.com](https://www.langchain.com/) – Official website (products, stats, customers)
2. [langchain.com/careers](https://www.langchain.com/careers) – Careers page (awards, values)
3. [langchain.com/about](https://www.langchain.com/about) – About page (mission, history, funding, team)
4. [linkedin.com/company/langchain](https://www.linkedin.com/company/langchain) – LinkedIn profile (headcount, revenue, funding rounds, job trends, talent sources)

## Other roles at LangChain

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- [Revenue Manager](https://feeny.ai/job/revenue-manager-langchain-san-francisco-t6ta7rtfzkks) — San Francisco, CA
- [Engagement Manager (NYC)](https://feeny.ai/job/engagement-manager-nyc-langchain-new-york-1bxc2masvt0r) — New York, NY
- [Engagement Manager  (London)](https://feeny.ai/job/engagement-manager-london-langchain-london-wfcnnp3fx1yw) — London, United Kingdom
- [Activation Specialist (London)](https://feeny.ai/job/activation-specialist-london-langchain-london-mqd02pnx3qbq) — London, United Kingdom
- [Web Lead](https://feeny.ai/job/web-lead-langchain-san-francisco-p80x2s62f90m) — San Francisco, CA
- [Sales Development Representative (NY)](https://feeny.ai/job/sales-development-representative-ny-langchain-new-york-7v3njrx83deb) — New York, NY
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- [Performance Marketing Manager, Paid Search & AI Advertising](https://feeny.ai/job/performance-marketing-manager-paid-search-ai-advertising-langchain-san-francisco-174znjg9xjjp) — San Francisco, CA