Data Storage Managed Services Technical Product Manager - CTO Office jobs in United States
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Bloomberg · 7 hours ago

Data Storage Managed Services Technical Product Manager - CTO Office

Bloomberg is a data company that delivers timely insights to clients through specialized databases and data augmentation pipelines. The role involves developing the vision for managed data services and collaborating with engineering teams to create products that meet business needs.

AnalyticsBusiness Information SystemsFinancial ServicesInformation ServicesNews
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Develop the vision for Bloomberg’s managed data services, supporting the next evolution of structured and unstructured data storage
Define unified products and capabilities, and partner tightly with engineering teams to develop the architecture and deliver these products, directly serving business needs
Bring technical expertise to help bridge business needs and technology delivery
Define standards/policies, maturity levels and other guidelines to ensure consistency
Focus on API-driven self-service enablement and management
Develop, refine and communicate a compelling product vision and roadmap based on customer and stakeholder input, aligning with customer needs, business goals and engineering capabilities
Translate technical features into business value; interface with engineering, operations, legal, security teams as well as executive stakeholders
Communicate with empathy to understand pain points for users
Collaborate with others to evolve the enterprise data maturity model through data classification, data governance frameworks, and data catalog technologies

Qualification

DatabasesData storage technologiesAPI-driven self-serviceSecurity controlsProduct managementSQLNoSQLCaching technologiesData integration patternsKubernetesAutomation technologiesUser-centric approachEmpathyData lifecycle managementCommunication skillsCollaboration

Required

10+ years of experience working on databases or unstructured data storage technologies as a developer
Strong written and verbal communication skills
A bachelor's degree in systems engineering, electrical engineering or computer science, or equivalent
A strong understanding of relational (SQL), non-relational (NoSQL) databases, from an operational, scale, and design perspective
Ability to define and evaluate architectures for scalable, resilient, durable and high-performance data stores, including both geographically distributed on-premises and public cloud implementations
Working knowledge of caching technologies, data access APIs, query languages, and data integration patterns
Ability to work with or define SDKs or connectors for integration
Familiarity with unstructured data storage technologies (such as Ceph with RADOS)
Knowledge of security and compliance controls, such as encryption at rest/in transit, access controls, integration into data governance regimes, and compliance standards
Experience integrating security controls across diverse data storage technologies including secure by default configurations, Enterprise IAM (authentication & authorization), and encryption strategies in-transit (TLS) and at-rest (storage-level, TDE, and application/client-side methods)
Developer Experience Focus
User-centric approach, ability to synthesize user requirements and journeys for a wide variety of users (i.e. developers, data engineers, data scientists, etc.)
Define standards/policies, maturity levels and other guidelines to ensure consistency
Focus on API-driven self-service enablement and management
Ability to develop, refine and communicate a compelling product vision and roadmap based on customer and stakeholder input, aligning with customer needs, business goals and engineering capabilities
Strong ability to translate technical features into business value; interface with engineering, operations, legal, security teams as well as executive stakeholders
Able to communicate with empathy to understand pain points for users
An understanding of the use of KPI frameworks (OKRs, success metrics) to drive product outcomes. DORA
Ability to collaborate with others to evolve the enterprise data maturity model through data classification, data governance frameworks, and data catalog technologies
Good insight into integrating reliability, robustness, resilience, security and scalability into a roadmap, alongside customer features and capabilities. Able to make the right trade-off between technical debt and new features

Preferred

2+ years of experience as an infrastructure technical product manager or similar role focused on product development and 'go to market' strategies
A strong philosophy of creating reusable, reliable and robust shared services
Experience with automation technologies (i.e. Ansible, Chef, Salt, etc.) for managing infrastructure at scale, as well as resource management technologies (e.g. Kubernetes, OpenStack)
Industry/community involvement in databases and data storage, through open source contribution, standards development, academic journals, conference presentations, or the equivalent
Understanding of observability tools for performance monitoring for a variety of user personas
AI-Related Database Technologies & Tools, including but not limited to Vector DBs for RAG, indexing methods, inference, etc
Data lifecycle management techniques and technologies

Benefits

Merit increases
Incentive compensation (exempt roles only)
Paid holidays
Paid time off
Medical
Dental
Vision
Short and long term disability benefits
401(k) +match
Life insurance
Various wellness programs

Company

Bloomberg

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Bloomberg provides news, data, analytics, and communication services for the global business and financial world.

H1B Sponsorship

Bloomberg has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (496)
2024 (382)
2023 (363)
2022 (426)
2021 (442)
2020 (588)

Funding

Current Stage
Late Stage

Leadership Team

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David Rosenberg
Head of Machine Learning Strategy, CTO Office
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Nabil Bitar
CTO - Head of Network Architecture
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Company data provided by crunchbase