35 mlops manager jobs at 26 companies in Costa Mesa, CA
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Senior Product Manager – Artificial Intelligence
Frisco or Newport Beach or San Jose or New York or Toronto
$124k-$204k/yrHybridFull Time
McAfee: Provides digital security and privacy software for consumers.
Lead AI/ML product strategy, own lifecycle for ML models and LLMs, build evals and safety guardrails, partner with engineering and MLOps, and communicate technical metrics to executives.
San Francisco or Atlanta or Austin or Boston or Chicago or Dallas or Denver or Houston or Jacksonville or Los Angeles or Miami or New York City or Phoenix or Portland or Sacramento or Salt Lake City or San Diego or Seattle or Washington, D.C. or Ottawa or Toronto or Vancouver or Mexico City
$195k-$280k/yrHybridFull Time
Scribd: Subscription-based digital library for e-books, audiobooks, and documents.
8+ YOE8+ years product management experience (5+ leading search/recommendations), deep ML/AI fluency, experience shipping ML-driven features, familiarity with retrieval/ranking/embeddings, strong communication, and quantitative skills.
Anduril Industries: Defense technology building autonomous military hardware and software.
8+ YOERequires 8+ years in software product management, including 3+ years with AI/ML products, manufacturing or industrial expertise, ML lifecycle knowledge, and ability to travel up to 25%. U.S. Person status required.
United States or New York City or Los Angeles County or Massachusetts
$160k-$200k/yrRemoteFull Time
EPAM SystemsNYSE: EPAM: Provides global digital platform engineering and software development services.
Hands-on AI/ML/GenAI expertise with production delivery, proficiency in Python and PyTorch/TensorFlow, familiarity with GCP/AWS/Databricks/Azure and MLOps, leadership experience driving cross-functional teams, and knowledge of semantic technologies a plus.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
10+ YOE5+ Mgmt10+ years in digital transformation/data/AI, 5+ years leading enterprise AI programs, experience in financial services, cloud/AI platform experience, GenAI/LLMs/MLOps knowledge, strong stakeholder and financial management.
Amazon Web Services, Microsoft Azure, Google Cloud, Anthropic, GenAI, LLMs, MLOps
Los Angeles or Northridge or Atlanta or Seattle or Washington or Boston or New York City or California or United States
$109k-$185k/yrHybridFull Time
MiniMed GroupNasdaq: MMED: A full‑stack insulin delivery focused on building connected care systems to support people living with diabetes.
3+ YOE3+ years technical product experience (or 5+ with bachelor), experience delivering AI/ML products, Scrum/Product Owner experience, knowledge of LLM patterns, MLOps, cloud AI services, and agile tooling; strong stakeholder and communication skills.
RAG, prompt engineering, MLOps, Microsoft Azure AI, AWS SageMaker, Google Vertex AI, Jira, Confluence, Jira Align, OpenAI, Microsoft Azure OpenAI, Anthropic Claude, Salesforce, SAP, vector databases
Data Science Senior Manager (Newport Beach, CA, US, 92660)
Newport Beach, California, United States
$245k-$554k/yrHybridFull Time
SAPFrankfurt Stock Exchange: SAP: Sells enterprise resource planning and business management software solutions.
8+ YOE3+ MgmtBachelor's in a quantitative field, 8+ years in data science/ML, 3+ years managing technical teams, proven production ML/AI delivery, experience with data platforms, MLOps, Python and SQL, and enterprise cloud environments.
Databricks, Snowflake, SAP Datasphere, Kafka, Spark, MLflow, Python, SQL, AWS, GCP, Azure, SAP BTP, SAP AI Core, SAP AI Foundation
Eagan or Frisco or New York City or Ann Arbor or Toronto or San Francisco or Los Angeles or Irvine or McLean or Washington
$171k-$318k/yrHybridFull Time
Thomson ReutersNASDAQ: TRI: Provides professional software, data, and news services globally.
8+ YOEPhD or Master’s plus comparable experience; 8+ years building IR/NLP systems; experience with LLMs/GenAI, production ML delivery, prior people management, and strong Python/Java/Scala skills.
LTIMindtreeNational Stock Exchange of India: LTIM: Global technology consulting and digital solutions.
5+ YOERequires 5+ years in product or data management, bachelor's degree, data and AI product lifecycle experience, SQL, stakeholder communication, and experience with data platforms and AI/ML ecosystems.
Senior Product Owner- Tech Ex AI Assets Foundry Team
Chicago or Dallas or Los Angeles or Minneapolis or New York City or San Francisco or Seattle or Washington
$185k-$250k/yrOnsiteFull Time
West Monroe: Business and technology consultancy specializing in digital transformation.
7+ YOE7+ years product management or related experience with 2+ years supporting AI/ML or cloud products; strong Agile experience; ability to define roadmap, own backlog, and embed responsible AI practices.
SCAN Health Plan: Providing Medicare Advantage plans and integrated healthcare for seniors.
8+ YOERequires 8+ years of software engineering experience, including 3+ years in production ML, MLOps, or AI safety infrastructure; Python and systems-language expertise; and enterprise AI architecture experience.
Python, Go, Java, C++, Large Language Models (LLMs), Machine Learning (ML), MLOps, Retrieval-Augmented Generation (RAG), OpenAI, Anthropic, HIPAA, HL7, FHIR, CI/CD, OWASP Top 10 for LLMs
Altasciences: Provides clinical research and manufacturing services for drug development.
10+ MgmtBachelor's degree (or equivalent experience), 10+ years senior leadership experience building data platforms, strong knowledge of data architecture, AI/MLOps, security, validation, and proven ability to lead cross-functional transformation.
Microsoft Word, Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, MLOps
KFC Pan EuropeNYSE: YUM: Quick-service restaurant chain specializing in fried chicken products.
12+ YOE12+ years in governance, cyber, AI/ML or technology leadership; experience building enterprise governance programs; strong understanding of ML, GenAI, data platforms and MLOps; familiarity with regulatory and data privacy frameworks; executive influence.
Pacific Life: Provides life insurance, annuities, and investment products for financial security.
20+ YOE8+ MgmtRequires 20+ years of engineering experience, including 8+ years leading Director-level teams, production AI/ML delivery, cloud-native architecture, MLOps/LLMOps, AI governance, security, privacy, and compliance expertise.
Atlanta or Milwaukee or Herndon or Dallas or Columbus or Kirkland or Irvine or Cincinnati or New York or Cleveland or Oklahoma City or Austin or Albany or Chicago or Arlington or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Scottsdale or Mountain View or Morristown or San Francisco or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$305k/yrOnsiteFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
8+ YOE8+ years engineering experience in cybersecurity, 1+ year hands-on production agentic AI experience, 6+ years end-to-end security delivery ownership, cloud security experience (AWS/Azure/GCP), bachelor\u0002s degree or equivalent, people management experience.
Claude Code, Cursor, GitHub Copilot, AWS, Azure, GCP, OWASP LLM Top 10, NIST AI RMF, EU AI Act, MLOps, RAG
Fujifilm SonositeTokyo Stock Exchange: 4901: Develops portable ultrasound systems for point-of-care medical diagnostics.
10+ YOE5+ Mgmt10+ years leading data and analytics with 5+ years in regulated life sciences; BS/BA in relevant field; enterprise data platform, MLOps, bioinformatics, GxP/CSV knowledge; people management experience.
Boot BarnNYSE: BOOT: Specialty retailer of western and work-related apparel and footwear.
5+ YOEBachelor's or advanced degree in a quantitative field, 5+ years in data science/ML with leadership experience, building production ML and teams, strong ML/statistics, and familiarity with Python and cloud/MLOps ecosystems.