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Senior Product Manager

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: MariaDB
Full Time position
Listed on 2026-01-03
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below

Senior Product Manager

Maria

DB is making a big impact on the world. Whether you're checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan, or ordering takeout Maria

DB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run Maria

DB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments, and public clouds, Maria

DB is uniquely positioned as the leading database for modern application development.

Senior Product Manager

Modern applications demand a data foundation that is not only fast and reliable but also intelligent and infinitely scalable. At Maria

DB, we are building the data platform that powers these mission‑critical systems. We are seeking a technical and customer‑focused Product Manager to help drive the strategy and execution for the core of our platform : our distributed database engine, integrated AI capabilities, and high‑availability solutions.

This is an important role at the intersection of distributed systems, artificial intelligence, and open‑source innovation. You will contribute to the product direction for our scalable distributed architecture, our cutting‑edge AI features (including RAG, embeddings, and LLMs), and our synchronous high‑availability offerings powered by Galera Cluster. You will be the voice of the developer, the data scientist, and the enterprise architect, translating their most complex challenges into a product roadmap that pushes the boundaries of what a database can do.

While providing key product support for our core Maria

DB‑based OLTP server, you will collaborate with the open‑source community that is core to our identity. Your work will empower organizations worldwide to build resilient, high‑performance, and intelligent applications.

Responsibilities
  • Product Strategy & Vision :
    Contribute to and communicate a compelling product strategy for our distributed database, AI, and high‑availability solutions, grounded in market research, competitive analysis, and direct customer engagement.
  • Roadmap & Backlog Management :
    Manage and prioritize the product backlog for your areas of ownership, working with senior product leaders on the overall roadmap and making data‑driven trade‑off decisions to balance new feature development, architectural improvements, and technical debt.
  • Technical Specification :
    Collaborate closely with engineering teams to translate the product vision into detailed technical requirements, user stories, and product specifications for distributed architectures, AI / ML products, and HA mechanisms.
  • Go‑to‑Market Collaboration :
    Partner with Product Marketing to support the development of positioning, messaging, and go‑to‑market strategies. Create technical content, product demos, and sales enablement materials that clearly articulate our value proposition.
  • Community & Ecosystem Collaboration :
    Serve as a technical product expert. Collaborate with developer relations to support our open‑source community, gathering feedback and representing their needs to inform the product roadmap.
  • Cross‑Functional Alignment :
    Ensure alignment across engineering, marketing, sales, and support, working with product leadership to communicate progress and dependencies to all stakeholders.
Required Qualifications
  • 5-7 years of product management experience, with a focus on deeply technical products such as database internals, distributed systems, and data infrastructure.
  • A strong technical background, demonstrated by a BS in Computer Science, Engineering, or equivalent practical experience.
  • Strong understanding of distributed database architectures (e.g., CAP theorem, sharding, consensus protocols, replication) and OLTP systems.
  • Demonstrable knowledge of modern AI concepts and their application in data systems, including Retrieval‑Augmented Generation (RAG), vector embeddings, and LLMs.
  • Proven track record of launching successful enterprise software or SaaS products from concept to market adoption.
  • Exceptional communication skills, with the ability to articulate complex technical concepts to both…
Position Requirements
10+ Years work experience
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