Principal Product Manager, Enterprise AI Platform
Principal Product Manager, Enterprise AI Platform
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1 Vacancy
Job Description
Your Career
AI and automation are key enablers for Palo Alto Networks to grow at the scale and speed necessary to support our cybersecurity customers. As the Principal Product Manager for the Enterprise AI Platform you will be at the forefront of identifying significant opportunities and driving the product vision strategies and roadmaps for our foundational AI infrastructure and tooling. This platform will enable widespread AI development across IT and all enterprise business functions (such as marketing sales HR legal customer support product etc.) supporting both code-based and low-code/no-code approaches. You will work across multiple aspects of our enterprise partnering with relevant AI engineering data science and IT operations teams as well as internal application teams to achieve a bold vision for AI-driven transformation. Your strategic mindset will be crucial in developing path-breaking solutions that accelerate the journey from AI concept to large-scale deployment enhancing developer productivity and enabling innovative AI applications across the organization.
Your Impact
Platform Vision & Strategy: Define and champion a bold AI-first product vision and strategic roadmap for the Enterprise AI Platform ensuring its alignment with broader organizational goals and the needs of internal AI developers and application teams.
Internal Developer/User-Centric Product Development: Cultivate deep empathy for your internal customers (data scientists ML engineers software engineers citizen developers) to collaboratively gather and translate complex needs into robust problem statements clear feature requirements and intuitive platform experiences for AI development and deployment.
Data-Driven & Outcome-Focused Execution: Champion an outcome-driven approach by defining clear success criteria metrics and dashboards for platform adoption efficiency and impact. Incorporate data research and analysis of platform usage performance and developer feedback to inform product strategies guide prioritization and make decisions.
Full Lifecycle & Cross-Functional Leadership: Lead the end-to-end product lifecycle for the Enterprise AI Platform from ideation and platform capability definition to launch and iteration by directing and motivating cross-functional teams through influence coordinating resources and guiding them through key milestones to deliver high-quality scalable and secure platform services efficiently.
AI/ML Platform Expertise & Application: Apply deep expertise in AI automation MLOps LLMs and Generative AI to identify the right platform technologies and capabilities for enabling impactful use cases across enterprise functions. This includes areas like data pipelines model training infrastructure inference services model registries experimentation platforms and responsible AI tooling.
Culture of Innovation & Learning: Foster a culture of rapid iteration experimentation and continuous learning within the platform team and its users. Maintain a strong curiosity regarding the evolving AI/ML and MLOps landscape proactively integrating internal customer feedback and identifying new platform technologies to drive ongoing enterprise AI transformation.
Stakeholder Communication & Influence: Excel in communication by delivering impactful technical presentations and authoring documents with extreme clarity to articulate platform strategy value proposition progress and insights to diverse audiences including executive leadership internal business stakeholders and technical development teams.
- Platform Governance & Best Practices: Partner with the Distinguished AI Architect to define and enforce platform governance security responsible AI guidelines and best practices for AI development and deployment across the organization ensuring the platform facilitates compliant and ethical AI applications.
Qualifications :
Your Experience
Minimum 10 years of product management experience with a significant 3-5 years of domain-specific experience launching and scaling core AI/ML platforms MLOps tools or foundational data science infrastructure in an enterprise environment.
Proven success in managing the entire lifecycle of platform-level products including ideation incorporating internal user feedback into requirements driving prioritization and leading pre/post-launch execution with measurable impact on developer productivity and platform adoption.
Demonstrated strategic mindset with experience defining and executing innovative product strategies for enterprise-grade AI platforms and aligning them with broader business objectives.
Strong technical background in AI/ML well-versed in LLMs Generative AI concepts MLOps principles and their practical application in building scalable platform services.
Extensive experience working in a fast-paced technical environment leading broad cross-functional engineering teams (Data Scientists ML Engineers Data Engineers DevOps) to define product vision crystalize requirements and guide projects through key milestones.
Hands-on experience with platform UX/developer experience principles and a track record of developing intuitive interfaces and APIs for technical users coupled with a strong sense of internal customer empathy.
Exceptional ability to manage ambiguity and unpredictability inherent in the AI/ML domain demonstrating enthusiasm adaptability and resilience in a constantly evolving fluid environment.
Excellent analytical and problem-solving skills with proven experience using large-scale platform usage data to inform decisions drive strategy and influence stakeholders.
Outstanding communication and interpersonal skills with experience delivering compelling technical presentations authoring clear and concise documentation and effectively engaging with both technical and non-technical audiences at all levels.
Demonstrated ability to manage multiple complex projects effectively prioritize tasks and meet deadlines.
A proactive team-oriented individual with a can-do attitude and a strong curiosity that fuels continuous learning in the rapidly evolving AI and enterprise technology landscape.
Additional Information :
The Team
Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. Youll join the brightest minds in technology creating building and supporting tools and enabling our global teams on the front line of defense against cyberattacks.
Were connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at .
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Compensation Disclosure
The compensation offered for this position will depend on qualifications experience and work location. For candidates who receive an offer at the posted level the starting base salary (for non-sales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at .
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
