HP

Senior AI/Machine Learning, Data Platform SW Product Manager

HP

full-time

Posted on:

Location Type: Office

Location: Palo AltoCaliforniaTexasUnited States

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Salary

💰 $147,050 - $230,850 per year

Job Level

About the role

  • Lead the strategy, development, and launch of HP's AI/ML and Data Platforms
  • Translate complex customer and business needs into clear product requirements
  • Drive innovation using advanced data techniques like multimodal data analysis and data fusion
  • Ensure the delivery of high-impact data products across the organization
  • Define and champion the product vision, strategy, and roadmap for AI/ML and Data Analytics solutions
  • Collaborate with cross-functional teams including data scientists, data engineers, software engineers, data analysts, designers, and marketing to guide products from conception to launch
  • Oversee the development, testing, and deployment of machine learning models and AI-powered features
  • Spearhead data collection strategies, define data modeling requirements, and collaborate on data governance and compliance to ensure availability and quality of datasets
  • Define, instrument, and analyze key performance indicators (KPIs) and telemetry data to measure product performance
  • Cultivate strong relationships with internal and external stakeholders

Requirements

  • 8+ years of proven experience in product management
  • 3-5 years specifically focused on AI, ML, data analytics, or data platforms
  • Proven track record of successfully launching and scaling AI-driven products from 0-to-1 and beyond
  • Experience working in an Agile/Lean development environment
  • Strong understanding of the AI/ML lifecycle, including data collection, model training, deployment, and monitoring (MLOps)
  • Familiarity with data technologies such as data warehouses, data lakes, SQL, and cloud platforms (AWS, GCP, or Azure)
  • Proficiency in data analysis and experimentation design using tools like Python, R, or BI platforms (Tableau, Looker, Power BI)
  • Knowledge of concepts like natural language processing (NLP), computer vision, predictive modeling, and data enrichment techniques
  • Bachelor's degree in a relevant technical field (e.g., Computer Science, Data Science, Engineering, Statistics) or equivalent practical experience
  • MBA/ Master's degree is preferred
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AIMLdata analyticsdata platformsdata modelingdata collectionMLOpsnatural language processingpredictive modelingdata enrichment
Soft Skills
leadershipcollaborationcommunicationrelationship buildinginnovationstrategic thinkingproblem solvingproduct visionstakeholder managementcross-functional teamwork
Certifications
Bachelor's degreeMBAMaster's degree