Product Manager Lead, Normal Computing
$180-250k
+Equity
Generative AI for enterprise
Open for applications
Generative AI for enterprise
21-100 employees
Open for applications
$180-250k
+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
- The ideal candidate has a strong entrepreneurial mindset, hands-on business generalist experience, and is comfortable working under ambiguity
- 4+ years of experience in a Product Manager role with direct interface to and facilitation of clients
- Exceptional capability to build rapport with highly technical engineering and research teams and enterprise customers alike (VP level and above)
- Strong business generalist skills to engage on GTM strategy and playbooks, and successfully drive enterprise-driven sales motion
- Experience working in startups or deep tech high growth companies
- Bachelor of Science in Engineering, Computer Science, Statistics, or similar field
- Excellent verbal and written communication and presentation skills
Desirable
- Meaningful experience working and building within the semiconductor industry, and developing hardware products or software for hardware products
- Former startup founder or founding product lead 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 Electrical Engineering, Semiconductors, Computer Science, Statistics or similar field, or Master of Science or Business Administration degrees
What the job involves
- As a Product Lead, you will work closely with Normal’s founders and leadership to advance our company’s strategic goals by driving complex, cross-functional product development which ships to some of the free world’s most important institutions
- This is a demanding and high visibility role that will offer you the opportunity to gain diverse operating experience in a fast-paced startup environment at the frontier of AI and chips, while driving critical initiatives that shape Normal’s growth and success
- You will work on Normal’s highest impact and most pressing problems alongside our leadership, engineering, research, operations and got-to-market teams
- Build relationships with key stakeholders internally and externally to understand how Normal can deliver value effectively, with rapid expansion, at some of the most important institutions in the world
- Advance deep understanding of Normal’s end users through discovery, market research, and value analysis
- Partner to 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, robust iteration and effective KPI tracking
- Develop and maintain comprehensive product roadmaps 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 sets out to make it more usable and scalable for enterprises, where risk is a central barrier to its implementation. The hope is that this will allow enterprises to make use of technologies such as Generative AI which has so far only been considered appropriate for early consumer applications.
The company's Probabilistic AI gives control over reliability, adaptivity, and auditability to AI models powered by its customers' private data. It boasts the ability to support such applications as automating complex underwriting processes, generating and validating specialized code, and mitigating risks in situations where the conditions are dynamic and fluctuating.
By targeting a major roadblock to enterprise AI adoption, Normal Computing has the chance to make a major (and profitable) contribution to accelerating complex AI use cases. The company has raised considerable funding to support its endeavours, which it will use to double down on the R&D of its application development platform and Probabilistic AI technology.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Nov 2024
$63.2m
GRANT
Jun 2023
$8.5m
SEED
Total funding: $80.2m
Company HQ
Civic Center, New York, NY
Articles
Leadership
Faris Sbahi
(Co-Founder & CEO)Has 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)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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