Top Tech Jobs & Startup Jobs

Own and govern the end-to-end marketing tech stack and campaign operations: roadmap, integrations, tracking, tag management, data flows, and reporting. Build AI-powered automations and operational tooling, ensure data hygiene, and support ABM and PLG initiatives through signal and workflow design.

Own the full enterprise sales cycle for LangChain's platform, drive POCs with sales engineers, act as a trusted advisor to technical buyers, negotiate contracts, support post-sale success, and provide product feedback to shape roadmap and sales playbooks.

Lead product and solutions marketing for Fleet: positioning, launches, content, enablement, campaigns, and enterprise solutions. Translate technical capabilities into customer narratives, build sales enablement, partner with product, sales, and demand generation, and develop industry-specific programs to drive awareness, adoption, and revenue.

Join the founding SDR team to convert inbound and outbound interest into qualified opportunities. Prospect via phone, email, and LinkedIn; collaborate with AEs; use LangChain-powered agents and automation to improve outreach and capture insights to inform sales and product.

Perform high-volume inbound and outbound prospecting via phone, email, and LinkedIn to qualify opportunities, partner with AEs to hand off pipeline, capture buyer insights, and experiment with messaging and automation using LangChain-powered agents to improve conversion and efficiency.

Manage full sales cycle for federal accounts, act as an advisor, drive proof-of-concept, maintain relationships, and navigate procurement mechanisms.

Design scalable AI infrastructure, build agent applications, engage with enterprise customers for requirements, and optimize deployment strategies. Work with cross-functional teams to implement solutions.

The GTM Engineer will architect customer agents, drive case deflection, and enhance onboarding experiences using AI-native systems and LangChain tools.

Own the full sales cycle for enterprise customers: build relationships, run proofs-of-concept with sales engineers, negotiate contracts, and collaborate with product, engineering, and customer success to drive GenAI adoption and inform product roadmap.

The Solutions Architect will design and deploy scalable AI infrastructure and applications, working closely with enterprise clients to optimize agent systems and ensure customer success.