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Redis

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

Enterprise Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • At least 3 years of experience selling SaaS software technology to enterprise clients.
  • Use a consultative and value-based approach to selling open source software for cloud, on-premise, and hybrid deployments.
  • Have domain expertise across banking, fintech, igaming, betting, and ecommerce.
  • Have a deep understanding of the sales cycle, from lead generation and lead development through opportunity management and closing.
  • Communicate effectively and present the business value of complex solutions in a simple and straightforward way.
  • Have a proven track record of consistently achieving targets and objectives.
  • Have experience working with channels and partners.

Responsibilities

  • Formulate and execute a sales strategy plan to drive revenue growth for the assigned 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 relationships with customers and partners, delivering the value they expect from the candidate and Redis.
  • Work independently and with the team to upsell and cross-sell.

Desired Qualifications

  • Knowledge of other NoSQL databases, graph platforms, or search data platforms.

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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