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Redis

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

Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of quota-carrying software sales experience to enterprise customers in a fast-paced and competitive market.
  • Ability to build and execute an account plan to close net-new-logo opportunities in the assigned territory.
  • A proven track record of meeting and exceeding sales targets.
  • Ability to present the business value of complex solutions in a clear and straightforward way.
  • A consultative and value-based approach to selling open-source software for cloud, on-premise, and hybrid deployments.
  • Must be located in the Midwest: Chicago, Minneapolis, Detroit, Cleveland, Columbus, or Cincinnati.

Responsibilities

  • Formulate and execute a sales strategy plan to drive revenue growth for the assigned territory.
  • Identify, qualify, and develop a robust sales pipeline in collaboration with internal teams.
  • Close business to exceed monthly, quarterly, and annual quota objectives.
  • Build trusted relationships with customers at the executive, IT leadership, and developer levels.

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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