Staff Machine Learning Engineer driving engagement and user growth for Snapchat. Designing, building, and deploying impactful machine learning solutions in a team - oriented environment.
About the role
- Senior AI/Machine Learning & Data Platform SW Product Manager at HP. Leading strategy and development for AI/ML and data platforms.
Responsibilities
- Define and champion the product vision, strategy, and roadmap for AI/ML and Data Analytics solutions
- Lead and 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
- Drive the application of advanced data techniques, including multimodal data analysis and data fusion
- Define, instrument, and analyze key performance indicators (KPIs) and telemetry data
- Cultivate strong relationships with internal and external stakeholders
- Conduct market research, competitive analysis, and user research
Requirements
- 8+ years of proven experience in product management
- At least 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
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
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