Founding Member of Technical Staff Product Engineering (Full-Stack)

TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluations, and experimentation.

See our GitHub repository to learn more.

Our ultimate goal is to enable LLM applications to learn from real-world experience . The current offering is the first step towards that vision : it enables a feedback loop for optimizing LLM applications, turning production data into smarter, faster, and cheaper models.

There are engineering teams building with TensorZero in all sorts of industries : healthcare, finance, recruiting, developer tools, consumer, etc.

Here's a case study : Automating Code Changelogs at a Large Bank with LLMs

Our technical team includes a former Rust compiler maintainer, machine learning researchers (Stanford, CMU, Oxford, Columbia) with thousands of citations, and the chief product officer of a decacorn startup.

We’re backed by the same investors as leading open-source projects (e.g. ClickHouse, CockroachDB) and AI labs (e.g. OpenAI, Anthropic). 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 are looking for a Founding Member of Technical Staff who's hungry to learn and contribute across the stack. Early on, you'll work as a product engineer focused on the highest-impact user-facing features.

You'll work alongside and learn from experts in front-end (e.g. co-creator of Radix UI, React Router, RemixJS), back-end (e.g. ex-maintainer of the Rust compiler), and ML (e.g. researchers with thousands of citations).

The vast majority of your work will be open source. You can learn more about our technical roadmap and vision here .

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 (Co-Founder & CTO) is an ML researcher with deep expertise in reinforcement learning, generative modeling, and LLMs. He received a PhD from CMU with an emphasis on data-efficient RL for nuclear fusion and LLMs, 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 (Co-Founder & CEO) was the chief product officer at Ondo Finance ($20B+ 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.

Aaron Hill (MTS) is a back-end engineer with deep expertise in Rust. He became one of the maintainers of the Rust compiler… 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).

Andrew Jesson (MTS) is an ML researcher with deep expertise in Bayesian ML, causal inference, RL, and LLMs. He recently completed a postdoc 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.

Kincaid O’Neil (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 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 █████.

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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 work alongside experts in front-end, back-end, and ML to build high-impact user-facing products.

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 (to start, TensorZero’s observability dashboard).

Passionate about your craft & design — You're excited about the idea of re-thinking developer tooling from first principles to build interfaces and workflows that don't just work but also delight.

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