TensorZero
Founding Member of Technical Staff — Product Engineering (Full-Stack)
TensorZero, New York, New York, us, 10261
Founding Member of Technical Staff — Product / Full-Stack Engineering
Join to apply for the
Founding Member of Technical Staff — Product / Full-Stack Engineering
role at
TensorZero Founding Member of Technical Staff — Product / Full-Stack Engineering
1 week ago Be among the first 25 applicants Join to apply for the
Founding Member of Technical Staff — Product / Full-Stack Engineering
role at
TensorZero Get AI-powered advice on this job and more exclusive features. This range is provided by TensorZero. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$200,000.00/yr - $300,000.00/yr 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
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 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 (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 FAIR. 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). _____ 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 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
Compensation Range: $200K - $300K
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at TensorZero by 2x Sign in to set job alerts for “Member of Technical Staff” roles.
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Join to apply for the
Founding Member of Technical Staff — Product / Full-Stack Engineering
role at
TensorZero Founding Member of Technical Staff — Product / Full-Stack Engineering
1 week ago Be among the first 25 applicants Join to apply for the
Founding Member of Technical Staff — Product / Full-Stack Engineering
role at
TensorZero Get AI-powered advice on this job and more exclusive features. This range is provided by TensorZero. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$200,000.00/yr - $300,000.00/yr 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
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 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 (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 FAIR. 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). _____ 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 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
Compensation Range: $200K - $300K
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at TensorZero by 2x Sign in to set job alerts for “Member of Technical Staff” roles.
Member of Technical Staff - Technical PM
New York, NY $100,000.00-$300,000.00 5 hours ago Founding Member of Technical Staff — ML Engineering / Research
New York, NY $200,000.00-$300,000.00 6 months ago New York, NY $91,090.00-$185,000.00 22 hours ago Bronx, NY $112,500.00-$150,000.00 1 week ago Assistant or Associate Professor - Chief of Technical Services - CCNY Libraries
New York, NY $110,107.00-$165,161.00 1 month ago Training Instrument Coordinator II - Sterile Processing - Mount Sinai West - Full Time - Day Shift
Chief of Technical Services (Assistant or Associate Professor)
New York, NY $170,500.00-$250,000.00 6 days ago New York, NY $95,000.00-$105,000.00 1 week ago Bronx, NY $112,500.00-$150,000.00 3 months ago MRI Technologist Virtual Interview Day - Throughout MAY - Manhattan, Staten Island, Queens and Long Island
Managing Director, Equities/Listed Options
Senior Tax Manager, Private Client Service
Registered Nurse (RN), Health Center Manager
New York, NY $300,000.00-$350,000.00 4 weeks ago Member of Technical Staff - Infrastructure
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New York, NY $170,000.00-$220,000.00 3 months ago New York, NY $170,000.00-$220,000.00 3 months ago Member of Technical Staff - Data Engineer
New York, NY $117,200.00-$294,000.00 2 weeks ago Member of Technical Staff - Agent Management
New York, NY $100,000.00-$300,000.00 1 week ago Member of Technical Staff - Data Engineer
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr