トレンド企業

NetApp
NetApp

Staff Product Manager (AI/ML)

職種機械学習
経験Staff+
勤務地Bangalore, Karnataka, India
勤務オンサイト
雇用正社員
掲載1週間前
応募する

Job Summary

The AI Product team within Net App’s Cloud Storage & Services division is responsible for building industry-leading products that power enterprise data and AI workloads. Our mission includes delivering cloud storage services, integrating Net App storage with hyperscaler AI/ML platforms, and developing AI-native services that support the data and AI needs of Fortune 500 customers across hybrid and public cloud environments.

We are seeking a Staff Product Manager to help define and deliver the next generation of generative and agentic AI services. In this role, you will play a critical part in shaping the vision, strategy, and execution of Net App’s AI-powered agentic platform. You will collaborate closely with engineering, data science, UX, go-to-market, and customer-facing teams to deliver scalable, secure, and customer-centric AI solutions built on Net App’s data infrastructure.

This is a high-impact opportunity for a product leader who is deeply passionate about AI innovation, agentic systems, and enterprise-scale data management.

Job Requirements

Key Responsibilities

  • Define and articulate product vision, strategy, and roadmap for AI-powered features and services, aligned with business objectives and customer needs.
  • Own the full product lifecycle—from ideation and requirements definition through development, pricing, launch, iteration, and growth.
  • Partner with engineering and design teams to deliver high-quality, scalable, and resilient cloud-based AI services.
  • Develop and manage a transparent, prioritized product backlog; author PRFAQs, product requirements documents, and detailed user stories.
  • Define and track key performance indicators (KPIs) for product and feature success; leverage data and customer insights to drive continuous improvement.
  • Stay current with AI and industry trends, particularly in agentic AI, large language models, and enterprise AI platforms.
  • Communicate product strategy, progress, and outcomes to executives, stakeholders, and cross-functional teams.
  • Support customer onboarding, adoption, and value realization in collaboration with Go-To-Market and Customer Success teams.

Required Qualifications

  • 12–15 years of experience in product management or a related technical role, preferably within a SaaS, cloud services, or enterprise software company.
  • Proven experience building and launching generative AI–powered products or services.
  • Strong understanding of AI and ML concepts, and hands on experience building products with:
  • Agentic systems and frameworks
  • Retrieval-Augmented Generation (RAG)
  • LLM orchestration, fine-tuning, and evaluation
  • Reinforcement learning concepts
  • Data pipelines (ETL/ELT), search indexing, vector databases, and knowledge graphs
  • Demonstrated experience defining product roadmaps, authoring product requirements, and launching cloud services at scale.
  • Strong analytical and problem-solving skills, with the ability to evaluate trade-offs and translate business needs into clear product requirements.
  • Excellent written and verbal communication skills, with the ability to influence stakeholders across engineering, leadership, and customer-facing teams.

Education

  • Bachelor’s degree in engineering, Computer Science, Data Science, or Information Systems.
  • MBA or master’s degree strongly preferred.

At Net App, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

Net App is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at Net App

At Net App, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

Net App is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

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NetAppについて

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+

従業員数

San Jose

本社所在地

$18.2B

企業価値

レビュー

10件のレビュー

3.5

10件のレビュー

ワークライフバランス

4.0

報酬

2.8

企業文化

4.2

キャリア

2.5

経営陣

2.7

65%

知人への推奨率

良い点

Good work-life balance and flexible hours

Supportive management and colleagues

Diverse and inclusive environment

改善点

Limited career advancement opportunities

Poor management and leadership direction

Pay and compensation issues

給与レンジ

48件のデータ

Mid/L4

Mid/L4 · Data Scientist

1件のレポート

$175,840

年収総額

基本給

$134,493

ストック

-

ボーナス

-

$175,840

$175,840

面接レビュー

レビュー1件

難易度

3.0

/ 5

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Challenge

5

Hiring Manager Interview

6

Onsite/Virtual Interviews

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience