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Normal Computing

Develops probabilistic AI for enterprise applications

Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$205.5k - $225k /yrHybrid

About the Job

Requirements

  • A degree in computer science, electrical engineering, physics, mathematics, or a similar field, or equivalent self-taught knowledge.
  • One to three years of experience in product management, engineering, research, technical program management, or a related technical role.
  • Demonstrated ability to turn an idea into a real outcome.
  • Fluency with coding agents such as Claude Code, Codex, Cursor, or similar tools.
  • Experience building or evaluating products powered by large language models.
  • Ability to communicate clearly in speaking and writing.
  • Comfort working with ambiguity and framing underspecified problems into proposals.
  • Interest in how chips are designed.

Responsibilities

  • Investigate how the ASIC team spends its time, determine which AI tools to build, and be accountable for their adoption.
  • Write requirements documents and user journeys for engineering, and build prototypes when they communicate more effectively than documents.
  • Work with engineers to turn promising prototypes into reliable tools for the ASIC team.
  • Work in the codebase with coding agents, open pull requests for bug fixes or user interface changes, learn from engineers' code reviews, and develop judgment about which changes to make.
  • Help decide what to build and deliver incremental milestones toward tapeout.
  • Work with chip architects on benchmarking architectures, observe verification debugging and propose automation, scope requirements and success criteria for custom electronic design automation tools, and prototype experiment dashboards.

Desired Qualifications

  • Coursework, research, or internship experience in chip architectures, digital design, verification, or hardware performance modeling.
  • Exposure to SystemVerilog.
  • Familiarity with the mechanisms underlying large language model inference.

About the Company

Normal Computing

Develops probabilistic AI for enterprise applications

Normal Computing builds AI systems for large, mission-critical workloads and provides generative AI tailored for enterprises. It uses Probabilistic AI, which uses statistical analysis to predict outcomes, giving firms more control over reliability, adaptability, and auditability. The company differentiates itself through leadership from Google Brain, Palantir, and X, and by focusing on risk-aware, enterprise-grade AI for industries with strict risk constraints. Its goal is to help Fortune 500 companies and government agencies deploy AI in critical operations with strong reliability, clear audit trails, and manageable risk.

Company size
51-200
Company stage
Early VC
Total funding
$133M
Headquarters
New York City, New York
Founded
2022

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