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Staff Product Manager (AI / Cloud)

NetApp

Staff Product Manager (AI / Cloud)

NetApp

Bangalore, India Office (BANGALORE)

·

On-site

·

Full-time

·

5mo ago

Required skills

AWS

Go

Azure

Job Summary

Net App’s Cloud Storage group develops solutions that help organizations manage and protect their data across hybrid and multi-cloud environments. Cloud Volumes ONTAP (CVO) is our leading cloud data management platform, designed to deliver advanced storage management, data protection, and cost optimization for workloads in AWS, Azure, and Google Cloud.

Job Requirements

At least 8+ years of product management experience in B2B or cloud technology businesses.

Bachelor’s or master’s degree in engineering is required.

Proven experience delivering technology products from concept through launch and beyond.

Knowledge of multiple functional areas such as product management, engineering, UX/UI, customer support, or marketing is highly desired.

Experience with cloud technologies is required.

Experience with storage technologies is an advantage.

Proven track record of integrating Agentic AI capabilities into enterprise products and management platforms.

Familiarity with cloud-native AI services is an advantage.

Understanding of AI governance, compliance, and security best practices.

Experience with cloud platforms and IaaS/PaaS products, especially AWS, Microsoft Azure, and Google Cloud.

Experience with IT and security infrastructure products is an advantage.

Ability to manage multiple projects involving diverse customers and stakeholders.

Demonstrated ability to focus on driving measurable outcomes for the business and customers.

Strong leadership skills and the ability to influence teams toward common objectives.

Responsibilities

Use a customer-centric approach to develop and drive product vision, strategy, and business plans for Cloud Volumes ONTAP, including planning, roadmap development, and lifecycle management.

Define technical requirements, set priorities, and guide product development in collaboration with engineering teams.

Lead integration of Agentic AI features to enable intelligent automation, predictive analytics, and autonomous workflows.

Work directly with leading cloud providers (AWS, Microsoft Azure, Google Cloud) to ensure product integration, alignment with partner initiatives, and ongoing joint success.

Collaborate with AI/ML teams and external partners to design and optimize AI-driven capabilities.

Create product documentation and launch materials, and support go-to-market activities.

Establish and track key performance indicators (KPIs) to measure product success.

Gather and analyze customer feedback and usage data to identify areas for improvement and inform product decisions.

Monitor industry trends in cloud storage, AI technologies, and the competitive landscape to help position our offerings effectively.

Lead cross-functional teams to deliver impactful solutions and align stakeholders around shared goals.

Education

IC - Typically requires a minimum of 12 years of related experience.

  • Mgr & Exec
  • Typically requires a minimum of 8 years of related experience.

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About NetApp

NetApp

NetApp

Public

NetApp is a multinational computer storage and data management company that provides software, systems and services for managing enterprise data.

10,001+

Employees

San Jose

Headquarters

$18.2B

Valuation

Reviews

3.5

10 reviews

Work-life balance

4.0

Compensation

2.8

Culture

4.2

Career

2.5

Management

2.7

65%

Recommend to a friend

Pros

Good work-life balance and flexible hours

Supportive management and colleagues

Diverse and inclusive environment

Cons

Limited career advancement opportunities

Poor management and leadership direction

Pay and compensation issues

Salary Ranges

48 data points

Mid/L4

Senior/L5

Director

Mid/L4 · Product Manager

4 reports

$214,500

total per year

Base

$165,000

Stock

-

Bonus

-

$208,000

$266,500

Interview experience

1 interviews

Difficulty

3.0

/ 5

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Challenge

5

Hiring Manager Interview

6

Onsite/Virtual Interviews

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience