LlamaParse is the world. Backed by Greylock and Norwest.
About the role
LlamaIndex makes enterprise data useful for AI applications. You will own engineering execution, technical direction, hiring, and team development. You will work closely with company leadership and product teams to decide what we build, how we build it, and how we deliver it reliably to customers. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience leading multiple engineering teams in B2B SaaS, at a scope comparable to a 20–30-person organization, with responsibility for delivering and operating customer-facing products
- Strong, current hands-on engineering skills: you can read and write production code, review architecture, and diagnose complex technical problems
- Practical familiarity with model serving and model training, including training or fine-tuning workflows, evaluation, deployment, and production operations
- Understanding of the tradeoffs between model quality, latency, throughput, GPU resources, reliability, and cost
- Strong background in backend systems, APIs, distributed systems, and cloud infrastructure
- A track record of hiring and developing engineers, setting clear expectations, and giving constructive feedback
More about this role
Join us and help shape the future of AI by defining the narrative around document understanding.
LlamaIndex makes enterprise data useful for AI applications.
You will own engineering execution, technical direction, hiring, and team development. You will work closely with company leadership and product teams to decide what we build, how we build it, and how we deliver it reliably to customers.
This is a hands-on role. You should be comfortable reviewing code and architecture, debugging production issues, and writing code for critical systems. We are looking for someone who has shipped and operated B2B API products and understands both model serving and model training—from experimentation and evaluation to deployment and production operations.
Lead and develop our engineering team, setting clear priorities, ownership, and accountability.
Partner with company leadership to translate customer needs into a focused roadmap and deliver software predictably.
Stay directly involved in architecture, code reviews, production debugging, and implementation of critical changes.
Set technical direction across application services, APIs, data pipelines, and ML infrastructure, balancing immediate...
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