--- title: 'AWS Alliances Lead at LangChain' canonical: 'https://feeny.ai/job/aws-alliances-lead-langchain-new-york-hy1marm40bsh' type: 'job' last_seen: '2026-11-05' --- # AWS Alliances Lead at LangChain - **Company:** [LangChain](https://feeny.ai/companies/langchain) - **Location:** New York, NY - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-11-02 - **Last confirmed live:** 2026-11-05 - **Apply:** https://jobs.ashbyhq.com/langchain/8928b6e9-aa61-4bbe-9d63-bf9acaba18b1 ## 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 You will be LangChain's dedicated cloud alliance lead for AWS, owning the relationships and revenue motions that make these partnerships produce real pipeline. This is a senior individual contributor role sitting within the Partnerships team where you'll be close to the product, close to the field, and expected to drive results without a lot of hand-holding. You'll own co-sell execution and marketplace presence end-to-end, working with cloud partner teams, field sellers, and LangChain's GTM organization to turn partner relationships into closed deals. ## What You'll Do Co-sell and pipeline - Own and grow LangChain's co-sell motion with AWS: manage joint pipeline, coordinate deals with AWS field teams, and drive sourced and influenced revenue. - Partner with LangChain sales leadership to define priority co-sell accounts, map territories to AWS coverage, and run co-sell plays region by region. - Keep ACE hygiene high across the sales team so that opportunity sharing, acceptance, and launch become routine rather than a partnerships-team chore. Marketplace - Own LangChain's AWS Marketplace presence end to end: listings, private offers, CPPO through channel partners, and program enrollment. - Operate our marketplace GTM platform (Suger today) and extend referral and offer automation so sellers can transact through Marketplace without partnerships-team involvement. Programs and funding - Operationalize AWS funding mechanisms across the team: MDF (market development funds for co-marketing), proof-of-concept credits, ISV Accelerate benefits, and any strategic collaboration funding we secure. - Pursue AWS competency and specialization programs that strengthen our positioning with AWS sellers. - Track funding drawn down against funding available and report it monthly. Executive and partner relationships - Own LangChain's working relationships at AWS: partner development managers, ISV sales managers, Marketplace category leads, and the Bedrock and AgentCore partner teams. - Build executive sponsorship on both sides, and run a joint business plan with AWS that sets shared goals and a review cadence. - Navigate the coopetitive dynamic: partner closely with AWS on Bedrock and AgentCore while differentiating LangGraph and LangSmith where AWS has competing offerings. Field enablement and marketing - Equip LangChain sales, solutions engineering, and marketing with better-together messaging, competitive positioning, and joint sales plays for AWS accounts. - Partner with marketing on co-branded campaigns, content, and events that generate pipeline, including re:Invent, AWS Summits, and joint customer programs. - Communicate results clearly to internal stakeholders, including a monthly readout on pipeline, Marketplace, and program activity. ## What You'll Bring - 6+ years in cloud alliances, partner sales, or business development, with direct, hands-on ownership of an AWS relationship. - A track record of scaling a hyperscaler co-sell motion, not just starting one: you have taken a working AWS alliance to materially higher Marketplace share, pipeline, or partner-sourced revenue, and you can describe the mechanisms that got you there. - Deep working knowledge of AWS Marketplace transactions and programs: private offers, CPPO, ACE, ISV Accelerate, and the funding programs available to ISVs. - Experience operating a marketplace GTM platform such as Suger, Tackle, or WorkSpan, including referral and offer automation. - Experience shaping and running a joint business plan with a hyperscaler, including executive sponsorship on both sides. - Enough technical foundation to speak credibly with builders. You do not need to write code, but you need to understand how LangGraph, LangSmith, and LangChain fit into a customer's AWS stack. - Experience in a startup or high-growth environment where you set the operating rhythm for a partner motion rather than inheriting one. - Strong operational discipline: you manage pipeline in the CRM, track partner activity, and report results clearly to internal stakeholders. - Excellent communication and relationship-building skills, with comfort owning senior relationships at a large cloud organization and resolving conflict constructively across company lines. ## Nice to Have's - Prior experience inside AWS in partner sales, ISV, or Marketplace roles, with a working understanding of how co-sell decisions and seller compensation work internally. - Experience with commercial contracts with AWS like SCAs. - Existing relationships across the AWS ISV, field, Marketplace, and Bedrock partner teams. - Familiarity with the AI/ML ecosystem: how LLMs, agents, and developer tooling fit into enterprise stacks. - Experience with AWS partner programs specific to AI and data, such as the Generative AI Competency and related partner tracks. - Prior experience at a developer tools or infrastructure company with a product-led growth motion. Annual salary range: $200,000 - $250,000 OTE + Equity 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 - [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 - [Integrated Campaigns Manager](https://feeny.ai/job/integrated-campaigns-manager-langchain-san-francisco-fjj3jqga8bby) — San Francisco, CA - [Vice President, EMEA](https://feeny.ai/job/vice-president-emea-langchain-london-vvs9r1b3xfk2) — London, United Kingdom - [Regional Vice President, Sales APAC](https://feeny.ai/job/regional-vice-president-sales-apac-langchain-australia-9btf6k13cqpx) — Australia - [AWS Alliances Lead](https://feeny.ai/job/aws-alliances-lead-langchain-chicago-cd19436swjp0) — Chicago, IL - [Senior Backend Software Engineer, AI Observability & Evals Platform (NYC)](https://feeny.ai/job/senior-backend-software-engineer-ai-observability-evals-platform-nyc-langchain-f0tdn9z8291z) — New York, NY - [Director, EMEA Professional Services](https://feeny.ai/job/director-emea-professional-services-langchain-london-mdsshs5x336k) — London, United Kingdom - [AWS Alliances Lead](https://feeny.ai/job/aws-alliances-lead-langchain-san-francisco-q9trmqqbj1av) — San Francisco, CA - [Sales Development Representative (SF)](https://feeny.ai/job/sales-development-representative-sf-langchain-san-francisco-yct2tdkq4etv) — San Francisco, CA - [EMEA Technical Support Engineer](https://feeny.ai/job/emea-technical-support-engineer-langchain-london-9mxvjqnfry2f) — London, United Kingdom