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Redis

Open-source in-memory data store, cache, broker

Principal Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeVancouver, BC, CanadaNo salary listedHybrid

About the Job

Requirements

  • Experience in product management for cloud platforms, data infrastructure, databases, developer platforms, or AI-related products.
  • Strong technical depth in storage, networking, and modern software development processes, including Agile development practices and effective use of AI tools to accelerate discovery, specification, iteration, and execution.
  • Ability to adapt to product management in an AI-enabled software development life cycle, including faster feedback loops, AI-assisted engineering workflows, and evolving cross-functional ways of working, and understand architecture trade-offs and translate them into product requirements.
  • Solid understanding of cloud platform ecosystems across Amazon Web Services, Google Cloud Platform, and Azure, including core infrastructure services, marketplace and procurement models, application programming interfaces, identity and access patterns, observability, and partner integrations.
  • Familiarity with cloud product and service lifecycles, including provisioning, upgrades, maintenance windows, reliability, operational readiness, supportability, and end-of-life considerations.
  • Strong product sense for enterprise and digital-native customers, with the ability to turn ambiguous customer, field, and market input into clear requirements, prioritization decisions, and measurable outcomes.
  • Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.

Responsibilities

  • Own product strategy and execution for Redis Cloud capabilities serving enterprise customers, digital-native companies, and AI-native applications.
  • Define detailed product requirements with engineering and key stakeholders, and manage one or more product areas end to end.
  • Work directly with customers and internal stakeholders to understand pain points, validate priorities, and turn feedback into roadmap decisions.
  • Partner with sales, solutions, marketing, enablement, and customer success to support launches, adoption, and business alignment.
  • Collaborate across distributed teams and global stakeholders to prioritize work, communicate trade-offs, and drive high-quality execution.
  • Act as an internal and external product evangelist, helping teams communicate customer value, product direction, and use cases.
  • Bring technical judgment to discussions involving cloud infrastructure, modern application architectures, data platforms, and AI workloads.

About the Company

Redis

Open-source in-memory data store, cache, broker

Redis is an in-memory data store used as a database, cache, and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets, and streams, enabling fast data access for real-time applications. Data is kept primarily in memory for sub-millisecond latency and high throughput, with options for on-disk persistence. Features include replication, Lua scripting, eviction policies, transactions, and multiple persistence modes, along with high availability via Redis Sentinel and scalable partitioning with Redis Cluster. This combination lets Redis power use cases like caching, session management, real-time analytics, and message queuing. Compared with other data stores, Redis stands out for its in-memory performance, rich built-in data structures, scripting support, and mature HA and sharding capabilities. The goal is to provide a fast, flexible, and reliable data store that can function as a database, cache, or message broker for real-time workloads.

Company size
1,001-5,000
Company stage
Private
Total funding
$356.6M
Headquarters
Mountain View, CA
Founded
2011

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