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Omen AI

Real-time fluid analysis for machinery health

Lab Manager

Physical SciencesConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

  • A professional background in chemistry or analytical chemistry is strongly preferred, with biology experience as a plus.
  • Candidates with a primarily biology-oriented background should have some experience with organic and/or physical chemistry.

Responsibilities

  • Establish professional analytical chemistry laboratory standards and rigorous quality assurance and quality control practices, including running blanks, calibration curves, spike recoveries, and monitoring instrument drift.
  • Develop robust sample preparation methodologies for industrial oils and liquid cooling mixtures, and process and test samples day to day.
  • Collaborate with the research and development team to transition manual sample preparation and testing into a software-defined automated pipeline, and help define analytical workflows and test plans for SCARA robots.
  • Manage procurement of laboratory consumables, reagents, specialty gases, and calibration standards, and assist with procurement of adjacent equipment such as resin 3D printers.
  • Establish and enforce safety protocols, set up hazardous waste management streams for acid waste, solvent waste, and oil disposal, and ensure compliance with local environmental regulations.

Desired Qualifications

  • Experience in biology is a plus.

About the Company

Omen AI

Real-time fluid analysis for machinery health

Omen AI provides a continuous fluid intelligence platform that monitors the health of liquids inside machinery in real time to prevent costly failures. It uses spectroscopic sensors installed in machines to track 21+ elemental signatures in fluids like oil, coolant, and water, including wear metals, bio-contaminants, and degradation indicators. The system supports both a permanent, non-invasive sensor for single-machine monitoring and a portable diagnostic unit for on-site checks across multiple assets, eliminating the need for slow off-site lab tests. Its goal is to reduce unplanned downtime for data centers and industrial operators and to scale manufacturing and product engineering after its Series A funding.

Company size
11-50
Company stage
Series A
Total funding
$31M
Headquarters
San Francisco, CA
Founded
2024

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