AWS Alliances Lead
LangChain is hiring an AWS Alliances Lead for a remote role open to applicants in United States. It pays $200k-$250k a year and Level rates it ; you can apply on LangChain.
Level's read on this job
- Little AI โโโโ is how Level rates this role: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include LangGraph, Bedrock and Clay.
- Level lists 97 other open roles at LangChain.
- The role was posted in the last few days.
AI in this role
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, weโre at a stage where weโre 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 youโre 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.
BenefitsBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
How we rate this
AWS Alliances Lead at LangChain rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- โโโโ Builds AI80 to 100
- โโโโ Works on AI60 to 79
- โโโโ Uses AI40 to 59
- โโโโ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used LangGraph in your day-to-day work.
- What are the limits of Bedrock that you've run into, and how did you work around them?
- What's a project where you used Clay hands-on?
Adapt your resume
- List these exact terms on your resume: AI agents, LangGraph, Bedrock, and Clay. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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