Jobs at Kensho Technologies

Build and improve Kensho’s ML platform, tooling, infrastructure, and workflows. The role supports ML engineers by developing scalable, auditable processes for model fine-tuning, reinforcement learning, LLM and agent evaluation, and production observability. Responsibilities include integrating open-source solutions, debugging distributed systems, monitoring model and agent performance, and promoting engineering best practices across teams. The position requires collaboration across ML, infrastructure, SRE, and security teams.

Own AI partnership development and a portfolio of strategic clients. Manage partner relationships, coordinate cross-functional launches, drive product adoption and expansion, convert trials, support renewals, and resolve partnership or client issues. The role requires technical fluency in AI/ML, APIs, and software implementation, along with strong communication, senior relationship management, commercial judgment, and comfort operating autonomously in ambiguous environments. Approximately 25% travel is required within the United States and to company hubs.

Design, build, and scale production RAG systems and retrieval pipelines integrating chunking, embeddings, vector databases, and LLM orchestration. Optimize vector search, indexing, and evaluation; collaborate with product, design, and MLOps to deploy and maintain end-to-end ML solutions.

Drive market expansion and adoption of Kensho's AI products by bridging technical AI capabilities and commercial strategy. Lead go-to-market planning, customer demos, co-development partnerships, market analysis, sales enablement, and cross-functional alignment to translate customer needs into product and roadmap priorities.

Design and build AI-centric full‑stack TypeScript web applications (SPAs and APIs). Collaborate on product and architecture, own technical decisions, mentor peers, perform code reviews, and manage project priorities and deliverables.