2 дня назад
Senior Product Manager (AI)
196 350 - 292 600$
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Описание вакансии
Текст:
TL;DR
Senior Product Manager (AI/Enterprise Storage): Driving strategy, roadmap prioritization, and execution for ONTAP platform capabilities supporting enterprise storage, Google Distributed Cloud, and AI infrastructure with an accent on customer requirements, technical use cases, and cross-portfolio execution. Focus on defining scalable platform capabilities, aligning hyperscaler and engineering roadmaps, and solving performance, scale, security, automation, Kubernetes, and distributed infrastructure challenges.
Location: United States; hybrid working environment with some in-office and in-person expectations.
Salary: $196,350–$292,600 per year, depending on location, qualifications, experience, and education.
Company
provides enterprise storage, data management, unified data infrastructure, and cloud-integrated solutions for traditional, AI, and multicloud workloads.
What you will do
- Define strategy, roadmap, prioritization, and lifecycle plans for core ONTAP Platform capabilities.
- Lead Google Distributed Cloud execution across ONTAP, Trident, StorageGRID, and related product teams.
- Partner with engineering and product leadership to scope features, negotiate tradeoffs, sequence investments, and deliver integrated capabilities.
- Translate customer, partner, and field input into requirements, user stories, success metrics, and adoption plans.
- Identify new use cases, adoption blockers, and expansion opportunities across enterprise, edge, regulated, and sovereign environments.
- Represent in customer engagements, partner meetings, executive briefings, and roadmap discussions.
Requirements
- 8+ years of experience in product management, product marketing, business consulting, or related business operations.
- Experience defining and executing product strategy, roadmaps, prioritization, and lifecycle plans for enterprise infrastructure products.
- Experience with customer discovery, technical requirements, competitive analysis, positioning, launch readiness, and adoption.
- Ability to influence engineering, product leadership, partner roadmaps, investment decisions, and cross-team priorities.
- Strong analytical, communication, customer-facing, and executive engagement skills.
- Bachelor’s degree required; MBA preferred or relevant experience.
Nice to have
- Experience in enterprise storage and data management, including familiarity with and competitors.
- Knowledge of networking, protocols, security, edge-cloud infrastructure, AI data infrastructure, automation, and AI workload storage requirements.
- Experience using AI tools for product research, requirements analysis, communication, or workflow efficiency.
Culture & Benefits
- Hybrid work environment designed to support connection, collaboration, and flexibility.
- Health insurance, life insurance, retirement or pension plans, paid time off, and leave options.
- Performance-based incentives, employee stock purchase plan, and potential restricted stock units.
- Inclusive culture focused on diversity, initiative, ownership, innovation, and work-life balance.
Hiring process
- Applications are reviewed through the company website.
- Selected hiring stages may use AI-assisted tools alongside human decision-making.
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