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Redis

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

Regional Sales Director

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

About the Job

Requirements

  • At least three years of proven sales team management and four years of direct sales experience.
  • A deep understanding of subscription sales models and strategic software licensing.
  • Ability to measure and analyze key performance indicators using existing analytical tools and drive a team to overachieve.
  • Availability to work remotely and travel at least 30% of work time.
  • A four-year university degree.

Responsibilities

  • Drive strategic account planning and tactical execution.
  • Manage accurate monthly and quarterly forecasting across the region.
  • Nurture broad, high-value key client executive relationships to ensure customer retention and loyalty.
  • Oversee the planning and implementation of regional marketing and sales programs.
  • Maintain appropriate reporting systems to participate in meetings and business reviews.
  • Recruit, train, and manage a world-class sales organization.
  • Grow and accelerate the sales funnel across the region.

Desired Qualifications

  • Database sales experience.
  • Salesforce (SFDC) experience.

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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