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Redis

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

Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeDelhi, India

About the Job

Requirements

  • Must be based in the Delhi NCR region.
  • Must have 10 or more years of experience in B2B technology sales.
  • Must have enterprise-level sales experience.
  • Must take a consultative and value-based approach to selling open-source software for cloud, on-premises, and hybrid deployments.
  • Must have a deep understanding of the sales cycle, from lead generation and lead development through opportunity management and closing.
  • Must have a proven track record of consistently achieving targets and objectives.

Responsibilities

  • Formulate and execute a sales strategy plan to drive revenue growth for the territory.
  • Identify, qualify, and develop the sales pipeline in collaboration with internal teams.
  • Close business to exceed monthly, quarterly, and annual quota objectives.
  • Build strong and effective customer relationships, delivering the value customers expect from the candidate and Redis.
  • Work independently and with the team to upsell and cross-sell.

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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