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What you'd actually do: Follow up on inbound and outbound leads by phone, email and LinkedIn, qualify teams exploring AI agents, and hand meetings to Account Executives.
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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.
We’re hiring
to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.
You’ll work closely with our
alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on
with teams exploring agentic AI.
What makes this role different: You’ll drive pipeline and revenue while learning to leverage
to become a next-generation GTM operator.
Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.
Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.
Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.
Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.
Use LangChain powered agents to test, learn, and improve prospecting strategies
1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)
Clear, confident communicator who can engage both technical and business audiences
Motivated by learning, iteration, and experimentation you treat outreach like a craft
Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way
Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate
Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction
On Target Earnings: $125,000
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 include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
GTM @ LangChain
GTM @ LangChain | Ex-McKinsey
GTM @ LangChain
Account Executive @ LangChain
MBA Candidate @ Berkeley Haas
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