Senior Product Manager – AI for Data Security
| Company | Palo Alto Networks |
|---|---|
| Location | Santa Clara, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- BS/MS in Computer Science, Engineering or a related field or equivalent military experience required
- Demonstrated experience building and launching AI applications, with a deep understanding of machine learning models and deployment challenges.
- 3+ years in product management
- Strong technical background with experience working with data scientists and ML engineers
- Strong understanding of user experience design principles and methodologies
- Excellent communications and collaboration skills, with experience working with cross-functional teams
- Strong analytical and problem-solving skills, with experience using data to inform product decisions
- Experience working in an Agile development environment
- Experience launching cloud products and services
- Demonstrable track record of success
Responsibilities
- Define and drive the product vision, strategy and roadmap for our Data Security product line with focus on using AI to solve customer problems
- Conduct market research, competitive analysis and customer feedback to inform product decisions
- Collaborate with design and engineering teams to develop product prototypes and interfaces
- Work closely with data scientists and ML engineers to develop and integrate ML algorithms into the Data Security product lines
- Create and maintain product documentation, including user guides, training materials and release notes
- Monitor product performance and customer feedback to inform product improvements and updates
- Work across functional agile teams (Engineering, UX, customer support, operations, finance, sales and marketing)
- Identify technology partners and drive integration into market leading product
- Drive joint sales (SKUs, solution bundles, incentives) and marketing (collaterals, webinars, trade shows) models with cross-functional teams within and partners
Preferred Qualifications
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No preferred qualifications provided.