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Full-Time

Product Manager Lead

Confirmed live in the last 24 hours

Normal Computing

Normal Computing

1-10 employees

Develops generative AI for enterprises

AI & Machine Learning
Enterprise Software

Mid, Senior

New York, NY, USA

Category
Product Management
Product
Required Skills
Market Research
Sales
Communications
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
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

Seed

Total Funding

$8.5M

Headquarters

New York City, New York

Founded

2022

Growth & Insights
Headcount

6 month growth

28%

1 year growth

28%

2 year growth

412%
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Simplify's Take

What believers are saying

  • Normal Computing's innovative technology could lead to widespread adoption among Fortune 500 companies, significantly boosting revenue and market presence.
  • Their focus on risk management in AI applications makes them highly attractive to industries that have been hesitant to adopt AI due to potential risks.
  • The strong background of the founding team enhances credibility and attracts top-tier talent, fostering a culture of innovation and excellence.

What critics are saying

  • The high level of customization required for each client could limit scalability and strain resources.
  • Operating in a rapidly evolving AI market means Normal Computing must continuously innovate to stay ahead of competitors.

What makes Normal Computing unique

  • Normal Computing leverages Probabilistic AI to offer unprecedented control over AI model reliability, adaptivity, and auditability, setting it apart from traditional AI solutions.
  • The company's founders come from elite backgrounds at Google Brain, Palantir, and X, providing a strong pedigree and deep expertise in AI.
  • Normal Computing focuses on high-risk industries like semiconductor manufacturing and banking, where their risk-mitigating AI solutions are particularly valuable.