Founding Member of Technical Staff — Developer Relations

TensorZero is an open-source platform that creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.

• Integrate our model gateway
• Send metrics or feedback
• Optimize prompts, models, and inference strategies
• Watch your LLMs improve over time
  
  

It enables a data & learning flywheel for LLMs by unifying:

Inference: one API for all LLMs, with <1ms P99 overhead

Observability: inference & feedback → your database

Optimization: from prompts to fine-tuning and RL

Evaluations: compare prompts, models, inference strategies

Experimentation: built-in A/B testing, routing, fallbacks

We’ve raised from FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We’re lucky to have years of runway, giving us the flexibility to fully focus on open source for now with an ambitious long-term vision.

Role

We're looking for a Founding Member of Technical Staff with a background in developer relations. This is the perfect role for a community-minded engineer. You'll work on technical content to drive adoption: demos, integrations & partnerships, documentation, videos, social media, and more. You're a "wartime growth hacker" who can think outside the box, with the technical background to build best-in-class software.

Team & Culture

We’re a small technical team based in NYC (in person). As an early contributor, you’ll work closely with us and have a significant impact on the project’s future and vision.

• Viraj Mehta (CTO) recently completed his PhD from Carnegie Mellon, with an emphasis on reinforcement learning for LLMs and nuclear fusion, and previously worked in machine learning at KKR and a fintech startup; he holds a BS in math and an MS in computer science from Stanford.
• Gabriel Bianconi (CEO) was the chief product officer at Ondo Finance ($10B+ valuation) and previously spent years consulting on machine learning for companies ranging from early-stage tech startups to some of the largest financial firms; he holds BS and MS degrees in computer science from Stanford.
• Andrew Jesson (MTS) is an ML researcher with deep expertise in Bayesian ML, causal inference, RL, and LLMs. He’s finishing his post-doc at Columbia and previously received a PhD from Oxford, during which he interned at Meta. He has 3.3k+ citations and several first-author papers at NeurIPS and other top ML venues.
• Aaron Hill (MTS) is a back-end engineer with deep expertise in Rust. He became one of the maintainers of the Rust compiler team… while still in college. Later, he worked on back-end infrastructure at AWS and Svix. He’s also an active contributor to many notable open-source Rust projects (e.g. Ruffle).
• Kincaid O’Neil (incoming MTS) is a full-stack engineer who previously founded Gathers, a consumer social startup that curated intimate in-person experiences. Before that, he built open-source payments infrastructure for the Interledger Protocol and worked at blockchain startups Coil, Ripple, and Kava.
• █████ (incoming MTS) is an ML researcher with a background in causal inference, sequential decision making, uncertainty quantification, and algorithmic fairness (1.2k+ citations). Previously, he was an AI Research Lead at █████ and received a PhD in Statistics from CMU, during which he interned at █████ and █████.
• _____ You?
  
  

What We Offer

• Competitive compensation — We believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup.
• Open-source contributions — The vast majority of your work will be open-source and public.
• Learning and growth opportunities — You’ll join with a background in design engineering but will have the opportunity (& be encouraged) to expand your skill set way beyond that (curious about ML?).
• Small, technical, in-person team — You’ll work alongside a 100% technical team and help shape our vision, culture, and engineering practices.
• Best-in-class investors — We’re lucky to be backed by leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We have years of runway and a long-term mindset.
  
  

We’re Looking For

• Strong technical background — You’ve tackled hard technical problems. You’re comfortable driving large projects from inception to deployment.
• Community leader — You're excited to build a community of developers, teach them about TensorZero, and more.
• Technical writing & speaking — You're comfortable writing technical content, public speaking, organizing events, and more.
• Hungry for personal growth — There are no speed limits at TensorZero. You’re excited about learning and contributing across the stack.
• In-person in NYC — We work in-person five days a week in NYC. We work hard and obsess about the craft – but maintain and encourage a healthy lifestyle with a long-term mindset.
  
  

You can find us on Github: https://github.com/tensorzero/tensorzero

TensorZero is an open-source platform that creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models. We've raised from FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We're lucky to have years of runway, giving us the flexibility to fully focus on open source for now with an ambitious long-term vision.