Founding Staff Product Manager, Normal Computing
$185-235k
+benefits + equity.
Generative AI for enterprise
Job no longer available
Generative AI for enterprise
21-100 employees
Job no longer available
$185-235k
+benefits + equity.
21-100 employees
Company mission
To bridge artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe.
Role
Who you are
- 4+ years of experience in a customer-facing Product Manager role
- Experience building AI/ML application products with B2B focus
- Experience working in startups or AI-native high growth companies
- Bachelor of Science in Computer Science, Engineering, Statistics, or similar field
- Excellent verbal and written communication and presentation skills
Desirable
- Former startup founder or founding product manager with demonstrated track record of building customer-facing AI products through entire lifecycle from inception to business success
- Hands-on experience with modern AI/ ML infrastructure, libraries and frameworks
- Advanced degree in Computer Science, Engineering, Statistics, or similar field, or Master of Science or Business Administration degrees
What the job involves
- As the founding product manager, your mission will be to ensure that Normal builds a category-defining generative AI application development platform powered by probabilistic AI to solve high-stakes enterprise customer applications
- You will work on Normal’s highest impact and most pressing problems alongside our leadership, engineering, operations and Go To Market teams
- Build relationships with key stakeholders internally and externally to understand how Normal can deliver value efficiently and effectively
- Build deep understanding of Normal’s end users through market research and data analysis
- Establish and manage our product development and deployment processes, including company-wide product management best practices and rituals to instill a culture of customer obsession, rapid iteration and effective KPI tracking
- Develop and maintain a comprehensive product roadmap that aligns with company goals and objectives
- Own cross-functional collaboration across various teams and guide the prioritization of new features, considering feasibility, impact, cost, and time in decision making
Our take
As the rate of AI adoption accelerates, Normal Computing is positioning itself to make advanced AI more usable and scalable for enterprises, where ris,, reliability and energy constraints remain major barriers. While generative AI has so far flourished in consumer settings, enterprise use has lagged due to concerns around control, auditability and cost. Normal's approach hopes to unlock these more complex use cases by rethinking how AI systems are built and deployed from the ground up.
At the core of the company's strategy is its Probabilistic AI framework, which gives customers greater control over reliability, adaptivity and auditability when working with private data. This software vision is now being reinforced by a major hardware milestone: the successful tape-out of CN101, the world's first thermodynamic computing chip. By harnessing natural physical dynamics such as stochasticity and noise, CN101 is designed to dramatically improve energy efficiency on AI and scientific workloads, allowing tasks like complex underwriting, probabilistic sampling and large-scale optimization to run faster and within fixed data centre energy budgets.
By tackling both the trust and energy bottlenecks that limit enterprise AI adoption, Normal is expanding its ambition from AI software into next-generation compute infrastructure. With a clear roadmap from CN101 to more advanced chips over the next few years, and substantial funding behind its R&D efforts, the company has the potential to play a meaningful role in shaping how high-performance AI scales in practice.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Mar 2026
$50m
EARLY VC
Nov 2024
$66m
GRANT
Total funding: $133m
Company HQ
Civic Center, New York, NY
Leadership
Faris Sbahi
(Co-Founder & CEO)Previously worked as a Research Scientist at X, the moonshot factory, a Software Engineer at Google, and as a Forward Deployed Engineer at Palantir Technologies.
Matthias Tan
(Co-Founder & COO)Venture Partner at NextGen Venture Partners. Former Principal of Strategy and Partnerships at X, the moonshot factory, and Director of Product and Partnerships at Pony.ai.
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