Full-Time

Product Manager Lead

Confirmed live in the last 24 hours

Normal Computing

Normal Computing

11-50 employees

Develops generative AI for enterprises

Enterprise Software
AI & Machine Learning

Mid

New York, NY, USA

Category
Product Management
Product
Required Skills
Market Research
Product Management
Requirements
  • 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
  • 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
Responsibilities
  • 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

Normal Computing develops generative AI specifically for critical enterprise applications, focusing on large-scale enterprises like Fortune 500 companies in sectors such as semiconductor manufacturing, supply chain management, banking, and government. Their technology, based on Probabilistic AI, utilizes statistical analysis to predict outcomes, allowing businesses to have greater control over the reliability, adaptivity, and auditability of their AI models. This approach addresses the significant risks that have hindered AI adoption in these industries. Unlike many competitors, Normal Computing tailors its AI solutions to meet the specific needs of its clients, operating on a subscription or contract basis. The goal of Normal Computing is to mitigate risks associated with AI implementation, making it a more viable option for enterprises.

Company Stage

Grant

Total Funding

$80.7M

Headquarters

New York City, New York

Founded

2022

Growth & Insights
Headcount

6 month growth

27%

1 year growth

43%

2 year growth

411%
Simplify Jobs

Simplify's Take

What believers are saying

  • Selected for ARIA's £50M Scaling Compute Program, boosting funding and visibility.
  • Raised $8.5M in seed funding, supporting R&D and platform development.
  • Growing demand for energy-efficient AI solutions aligns with their thermodynamic AI focus.

What critics are saying

  • Rapid AI advancements may render their technology obsolete without continuous innovation.
  • Reliance on thermodynamic computing poses risks if it fails to deliver as promised.
  • Focus on large enterprises may limit market reach and expose to economic downturns.

What makes Normal Computing unique

  • Normal Computing uses Probabilistic AI for reliable, adaptive enterprise applications.
  • Their thermodynamic computer enhances AI reliability and controls, reducing hallucinations.
  • Founded by ex-Google Brain and X engineers, they have a strong AI pedigree.

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