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Product manager - activescale

Gand
Chef de produit
Publiée le 8 janvier
Description de l'offre

Quantum is seeking an experienced Product Manager to lead product strategy, roadmap development, and end-to-end lifecycle management for the ActiveScale object storage platform. ActiveScale is Quantum’s large-scale, high-durability object storage solution designed for data lakes, AI/ML pipelines, HPC, media archives, and long-term unstructured data preservation. As Product Manager, you will define the vision, translate customer needs into requirements, work closely with Engineering on execution, and ensure the product’s success in highly demanding enterprise and cloud-integrated environments.

Key Responsibilities

Product Strategy & Market Leadership

1. Define and evolve the long-term vision for ActiveScale, including scale, performance, data durability, metadata architecture, hybrid-cloud workflows, and cost-optimized storage tiers.
2. Identify and validate new market opportunities across AI/ML storage pipelines, media workflows, HPC, analytics, large-scale archiving, and S3-compatible cloud workloads.
3. Monitor competitive trends (cloud object stores, on-prem object systems, distributed storage architectures) to guide market positioning.

Roadmap Definition & Execution

4. Own and maintain the ActiveScale roadmap, balancing customer needs, competitive pressures, and engineering capacity.
5. Prioritize features using customer input, business value, telemetry insights, and technical feasibility.
6. Collaborate with Engineering to determine release scope, detailed requirements, acceptance criteria, and milestones.

Requirements & Product Design

7. Gather feedback from customers, partners, and field teams to translate real-world use cases into clear product requirements.
8. Write detailed MRDs, PRDs, user stories, and acceptance criteria for major enhancements (, S3 API expansion, durability/erasure coding improvements, metadata scaling, observability advances, security and multi-tenant enhancements).
9. Partner with architects, QA, and UX teams to develop intuitive management workflows, dashboards, and API-driven integrations.

Cross-Functional Leadership

10. Act as the primary interface between Engineering, Sales, Support, Marketing, Operations, and Executive teams for all ActiveScale initiatives.
11. Work with Customer Support and L3 Engineering to identify recurring issues, drive product quality improvements, and ensure supportability in large deployments.
12. Collaborate with Sales Engineering to provide competitive guidance, develop solution architectures, and support strategic customer engagements.

Customer, Partner & Ecosystem Engagement

13. Engage directly with enterprise customers, ISVs, and cloud partners to gather insights, validate roadmap features, and support major deployments.
14. Lead roadmap presentations, customer briefings, and technical workshops for key accounts.
15. Build strong relationships within the object storage ecosystem, including S3-compatible software and workflow partners.

Lifecycle Management

16. Manage the product lifecycle from concept to GA, through maintenance releases, refresh cycles, and EOL planning.
17. Contribute to pricing, licensing models, capacity planning, and hardware platform selection.
18. Use field telemetry, sizing data, and customer feedback to guide continuous improvements.

Go-to-Market & Launch Ownership

19. Work with Marketing to develop product messaging, competitive content, launch materials, and sales enablement collateral.
20. Provide training, competitive analysis, and sales tools to Sales and Channel teams.
21. Support major product launches, release communications, and public announcements.

Required Qualifications

22. 5–10+ years of product management experience in enterprise storage, cloud infrastructure, distributed systems, or object storage technologies.
23. Strong understanding of:
24. Object storage architectures, S3 APIs, metadata models, erasure coding, and multi-site replication
25. Linux-based distributed systems, clustering, network design, and large-scale deployments
26. Hybrid-cloud workflows and integration with AWS/Azure/GCP
27. Data-intensive workloads (HPC, AI/ML, media archiving, analytics, scientific computing)
28. Proven ability to gather customer requirements and convert them into actionable product plans.
29. Experience working with software engineering teams through full product lifecycles.
30. Excellent communication, executive-level presentation, and stakeholder management skills.

Preferred Qualifications

31. Hands-on knowledge of ActiveScale or similar object storage systems (Ceph, MinIO, ECS, Scality, Cloudian, etc.).
32. Background in distributed system design, large-scale storage architectures, or cloud-native infrastructure.
33. Experience with Kubernetes, containerized workloads, or microservices.
34. Technical degree in CS, EE, or similar field (or equivalent engineering experience).
35. Certifications in cloud, product management, or storage technologies.

Soft Skills

36. Strategic thinker with strong analytical and problem-solving ability.
37. Customer-centric mindset with a passion for long-term data management.
38. Ability to lead through influence and work cross-functionally across technical and business teams.
39. Comfortable engaging with executives, architects, customers, and engineering teams.

Quantum provides a diverse portfolio of health plans for medical and prescription, dental, vision, life, disability, and supplemental medical insurance options. We also support our team members’ efforts to develop and maintain a healthy lifestyle through reimbursement and educational programs. Quantum offers a company-matched 401(k) plan to help employees save for retirement in a tax-advantaged way. We also have an Employee Stock Purchase Program for purchasing Quantum stock at a discounted rate.

Anticipated Salary Range: 70,000 EUR to 90,000 EUR for qualified applicants.

The above pay range represents Quantum's good faith and reasonable estimate of possible compensation at the time of posting. Pay within the range will be based on a variety of factors, including but not limited to, relevant experience, knowledge/education, skills/abilities, internal equity, and budgetary considerations.

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