Technical Product Manager – AI/ML Inference (serving & management)

Key Skills

Aartificial intelligence, Agile methodologies, Analytical and Problem solving, Causal inference, Database, DevOps, Docker, Effective communication skills, Employee life cycle, Kubernetes-K8s, Machine learning techniques, Product Management, UI design

Job Description

Help us build the future of AI & ML software platforms at HPE!

Our customers are scientists and engineers working on the the leading edge of autonomous driving, pharmaceutical research, automated video analysis and similar use cases.

Our AI/ML platforms are installed in some of the largest computing clusters in the world, enabling cutting-edge deep learning teams to build & operationalize AI easer, faster and with with lower cost than ever before.

As a technical product manager focused on machine learning, you will play a key role in shaping the future of our cutting-edge AI/ML software platform.

• You will decompose technical customer challenges and goals into product solutions.
• You will work with customers, open-source users, and internal experts to define our product direction and roadmap.
• You will collaborate with product designers and engineers to scope intuitive, elegant, and technical new features
• You will work cross-functionally with our engineering team to deliver those features to our customers.

As a technical PM, you will particularly focus on understanding new developments in machine learning, infrastructure (like Kubernetes, Docker, Databases, etc.), and defining how our product should adapt to those advances.

What You’ll Do

• Use your strong technical acumen to work with customers, open-source users, and internal experts to define our product direction and roadmap.
• Collaborate with product designers and engineers to scope intuitive, elegant, and technical new features, and you will work cross-functionally with our engineering team to deliver those features to our customers.
• As a technical PM, focus on understanding new developments in machine learning, infrastructure, and define how our product should adapt to those advances.
• Your work will include gathering and prioritizing product and customer requirements, defining the product vision, and working closely with engineering, sales, marketing and support to meet our company’s goals.
• Engage in strong user research skills to work closely with HPE’s customers, community users, researchers, and internal experts to keep up with the state-of-the-art in machine learning, and to identify challenges and opportunities for the next generation of machine learning infrastructure.
• Gather requirements, conduct market research, and formulate user stories for new product features.
• Refine and improve our UX 
• Develop mockups and prototypes for user testing and write product feature specifications to handoff to engineering for execution.
• Collaborate with a cross-functional team of engineers towards delivery of features.

What you’ll need:

• A Bachelor's degree in computer science, engineering, or a related discipline, with at least 5 years of experience in technical product management.
• Strong proficiency in AI/ML and machine learning inference products; specific expertise in deep learning is essential.
• Familiarity with Agile methodologies, backlog planning, and a proven track record in product-to-market execution.
• Demonstrated leadership abilities, with the capacity to influence cross-functional teams and oversee complex projects.
• Deep analytical and critical reasoning skills, with a flair for innovative problem-solving.
• Outstanding communication skills, both verbal and written, complemented by effective presentation capabilities.
• Familiarity with DevOps and key infrastructure technologies such as Kubernetes and Docker is advantageous but not mandatory.