Member of Technical Staff — Product Management & Growth

TensorZero.com

200k - 300k USD/year

Office

NYC

Full Time

TensorZero enables a data and learning flywheel for optimizing LLM applications: a feedback loop that turns production metrics and human feedback into smarter, faster, and cheaper models and agents.

Today, we provide an open-source stack for building industrial-grade LLM applications that unifies an LLM gateway, observability, optimization, evaluation, and experimentation. You can take what you need, adopt incrementally, and complement with other tools. Over time, these components enable you to set up a principled feedback loop for your LLM application. The data you collect is tied to your KPIs, ports across model providers, and compounds into a competitive advantage for your business.

Our vision is to automate much of LLM engineering. We're laying the foundation for that with open-source TensorZero. For example, with our data model and end-to-end workflow, we will be able to proactively suggest new variants (e.g. a new fine-tuned model), backtest it on historical data (e.g. using diverse techniques from reinforcement learning), enable a gradual, live A/B test, and repeat the process. With a tool like this, engineers can focus on higher-level workflows — deciding what data goes in and out of these models, how to measure success, which behaviors to incentivize and disincentivize, and so on — and leave the low-level implementation details to an automated system. This is the future we see for LLM engineering as a discipline.

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Role

We're looking for a Member of Technical Staff with a background that combines product and engineering. As the first product hire at TensorZero, you'll wear many hats and quickly grow with the company. Early on, the role will be especially focused on our developer community. From coding to content creation, you'll work on whatever it takes to drive adoption: demos, integrations & partnerships, documentation, videos, social media, events, and more. You're a "wartime product manager" who can think outside the box, with the technical background to scale your impact independently.

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.
Alan Mishler (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 JPMorgan AI Research and received a PhD in Statistics from CMU, during which he interned at Google and Box.
Shuyang Li (MTS) previously was a staff software engineer at Google focused on next-generation search infrastructure, LLM-based search, and many other specialized search products (local, travel, shopping, maps, enterprise, etc.). Before that, he worked on ML/analytics products at Palantir and graduated summa cum laude from Notre Dame.
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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 ML, Rust, etc. and will be encouraged to grow your technical and non-technical skillset.
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 can code as needed to scale your impact in product and GTM.
Community leadership — 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 company while wearing many hats.
Wartime product manager — "Either you win with grace or by force. But you have to win." TensorZero is a "win by force" company, and you're a "do whatever it takes to win" person.
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