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Artificial intelligence • berkeley ca
Product Owner - Artificial Intelligence
TephraSan francisco, CA- Promoted
Research Scientist, Artificial General Intelligence - Data Services
AmazonSan Francisco, CA, United StatesAssistant Research Scientist AI Safety Center for Human-Compatible Artificial Intelligence
InsideHigherEdBerkeley, California, United StatesIntelligence Analyst
Crisis24San Francisco, CA, United States- Promoted
Applied Artificial Intelligence & Autonomous Systems Postdoctoral Fellow
Lawrence Berkeley National LaboratoryBerkeley, CA, United States- Promoted
Artificial Intelligence Engineer
VirtualVocationsOakland, California, United StatesExecutive Director of Artificial Intelligence
University of California, RiversideOakland, CA, United States- Promoted
Executive Director of Artificial Intelligence
University of California - RiversideOakland, CA, United StatesArtificial Intelligence Solutions Lead
K&L GatesSan FranciscoArtificial Intelligence Co-Founder CCO (100 remote) (mfd)
EWOR GmbHSan Francisco, California, USADirector, Strategy (Artificial Intelligence)
Expedia GroupSan Francisco, CA, United StatesSr. Director Head of Artificial Intelligence Practice
VisaSan Francisco, CA, US- Promoted
Senior Director, Artificial Intelligence & Data Infrastructure
Danaher CorporationSan Francisco, California, United StatesCSC Artificial Intelligence Lead
MaximusSan Francisco, US- New!
Artificial Intelligence(AI) Solutions Consultant - Go-to- Market Lead
RedolentSan Francisco, CA, United States- Promoted
VP, Product Management - Artificial Intelligence Experiences
6senseSan Francisco, California, United StatesApplied Artificial Intelligence & Autonomous Systems Postdoctoral Fellow
Berkeley LabBay Area, California, USArtificial Intelligence(AI) Solutions Consultant – Go-to- Market Lead
Redolent IncSan Francisco, California, USAVice President, Sales Executive - Operate Practice - Artificial Intelligence & Engineering
DeloitteSan Francisco, California, US- software development manager (from $ 220,000 to $ 273,000 year)
- nuclear medicine (from $ 153,470 to $ 250,984 year)
- veterinarian (from $ 115,000 to $ 250,000 year)
- python developer (from $ 135,000 to $ 244,125 year)
- office administrative assistant (from $ 47,840 to $ 243,900 year)
- vp of engineering (from $ 68,428 to $ 237,500 year)
- embedded systems engineer (from $ 133,875 to $ 222,134 year)
- product director (from $ 157,500 to $ 220,750 year)
- applications engineer (from $ 149,709 to $ 218,500 year)
- startup (from $ 136,250 to $ 216,250 year)
- Atlanta, GA (from $ 141,107 to $ 240,000 year)
- Dallas, TX (from $ 135,100 to $ 230,000 year)
- Washington, DC (from $ 119,952 to $ 223,712 year)
- Seattle, WA (from $ 138,650 to $ 220,520 year)
- Chicago, IL (from $ 151,268 to $ 220,000 year)
- San Francisco, CA (from $ 138,000 to $ 218,460 year)
- New York, NY (from $ 132,732 to $ 217,133 year)
- Phoenix, AZ (from $ 127,447 to $ 212,500 year)
- San Diego, CA (from $ 131,904 to $ 212,313 year)
- San Jose, CA (from $ 124,500 to $ 212,250 year)
The average salary range is between $ 115,000 and $ 203,375 year , with the average salary hovering around $ 150,615 year .
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Product Owner - Artificial Intelligence
TephraSan francisco, CA- Full-time
Description :
Role : Product Owner - Artificial Intelligence - Life Sciences, Healthcare, Energy, Resources, Utilities IndustriesLocation : San Francisco, CA (other US Locations can be considered - compensation mentioned is for Bay Area location)Responsibilities : An AI Product Owner is a specialized product technical associate who manages the development, deployment, and lifecycle of AI-powered products. They bridge the gap between business needs, customer expectations, and the technical capabilities of artificial intelligence. Their primary role is to ensure that AI solutions are not only technologically sound but also align with user needs, ethical considerations, and business strategy. Technical acumen : Minimum of 8 years of relevant experience-Experience in programming languages (like Python and SQL), AI development tools (like auto ML tools and specific ML programming libraries), and cloud-based infrastructure -Ability to communicate effectively with technical teams on above languages and tools-Experience and knowledge in one or more of the following industries : Life Sciences, Healthcare, Energy, Resources, Utilities Industries
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