Top Tech Jobs & Startup Jobs

Lead a small systems team building SmithDB: write and review Rust production code, make architecture decisions for storage and query execution, drive performance profiling and fixes, deploy and harden distributed Kubernetes services, integrate cloud object stores, build observability, and manage hiring, mentorship, and the technical roadmap.

Own and manage the sales cycle, acting as a trusted advisor to customers, driving proof-of-concept efforts, and building relationships to support post-sale success.

Collaborate with customer engineers to design and deploy AI agents in production. Provide technical guidance, conduct training, and ensure successful outcomes for customers.

Own technical sales wins by leading discovery, evaluations, architecture reviews, proofs of concept, demos, and competitive assessments. Co-architect and build production AI agents with customers, support deployments, provide post-sale technical guidance, and identify expansion opportunities. The role also includes customer training, reusable technical content, upstream contributions, and sharing field feedback with product teams.

Own the full enterprise software sales cycle from lead generation through close. Build trusted relationships with technical decision-makers, lead proof-of-concept efforts, communicate product value, negotiate pricing and contracts, and support post-sale success. Collaborate with engineering, product, customer success, deployment, and legal teams while contributing customer insights and helping develop LangChain’s sales playbook and go-to-market strategy.

Own the full enterprise sales cycle for LangChain’s AI products, from lead generation through contract negotiation and close. Build trusted relationships with technical decision-makers, lead proof-of-concept efforts, communicate product value, and support post-sale success. Collaborate with sales engineering, product, engineering, legal, deployment, and support teams while providing customer feedback and helping develop the company’s sales playbook and go-to-market strategy.

Create industry and use-case solution narratives that map LangChain's platform to enterprise buyer needs. Develop sales enablement, campaign assets, and repeatable sales plays; partner with sales, product, field marketing, and customer teams to drive pipeline and enable complex buying committees for production-ready AI agents.

Design developer-focused product experiences across LangChain's platform. Conduct user research with developer teams, own end-to-end feature design from concept to shipped UI, solve complex interaction problems for dense technical data, and collaborate closely with product and engineering to iterate quickly.

Develop and maintain benchmarks, run experiments across models, prompting, tools, and orchestration, and implement fine-tuning or post-training improvements. Analyze production agent failures, optimize for cost/latency/reliability, and ship measurable production improvements while guiding ML roadmap and mentoring teammates.

Provide commercial legal support across sales, partnerships, vendor, and operational contracts. Draft, review, and negotiate MSAs, DPAs, security addenda, vendor agreements, and partner deals. Advise cross-functional teams on privacy, security, IP, AI/LLM usage, and risk. Build contracting templates, playbooks, intake workflows, and help implement Ironclad to scale legal operations.