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Redis

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

Director Engineering Operations

Engineering LeadershipUpdated on Nov 5
Full-timeRemote in USARemote

About the Job

Requirements

  • A deep technical background in software engineering, distributed systems, or cloud infrastructure operations, alongside experience in a strategic leadership or business operations role.
  • Ability to turn ambiguous, cross-functional problems into clear decisions, ownership, operating mechanisms, and measurable outcomes.
  • Experience designing and running operating cadences, business reviews, planning processes, leadership forums, or comparable mechanisms that improve execution.
  • Ability to influence without relying on formal authority and build trust across geographies, functions, and organizational levels.
  • Comfort working in a fast-changing environment with incomplete information and competing priorities.

Responsibilities

  • Design, run, and continuously improve the CTO organization’s operating cadence, including quarterly business reviews, initiative and program reviews, goal-setting cycles, leadership forums, and internal communications.
  • Establish lightweight, reusable standards for agendas, pre-reads, synthesis, status, risk and confidence language, ownership, dependencies, decision capture, and follow-through.
  • Turn fragmented execution signals into concise, decision-ready narratives for the CTO and Engineering leadership.
  • Ensure forums drive decisions and tradeoffs rather than simply status updates.
  • Make Engineering priorities, commitments, dependencies, and risks visible across the company.
  • Improve the quality and timeliness of early risk detection and escalation.
  • Use data and qualitative signals together to distinguish real progress from activity or optimism.
  • Partner with the CTO, Engineering leaders, Finance, People, Product, and other functions to connect strategy, priorities, capacity, headcount, funding, and operating norms.
  • Support workforce and headcount planning, financial and investment alignment, and organizational planning with clear analysis and decision materials.
  • Improve cross-geography and cross-functional operating norms so expectations are explicit rather than assumed.
  • Bring structure to ambiguous, cross-cutting, or high-risk initiatives that do not yet have a natural program home.
  • Support high-impact company priorities such as major transformations, IPO readiness, mergers and acquisitions diligence, or other initiatives requiring CTO-level coordination.
  • Determine when to stay involved, when to escalate, and when to exit so Engineering Operations does not become a permanent dependency.
  • Institutionalize good judgment into reusable systems, templates, and standards.
  • Use automation, analytics, and AI-assisted workflows thoughtfully to improve signal quality and operating leverage.
  • Socialize changes effectively and build adoption through clarity, usefulness, and trust.
  • Architect and execute strategic initiatives that integrate AI technologies into software development lifecycles, continuous integration and continuous delivery pipelines, and cloud operations to accelerate innovation and developer efficiency.
  • Establish frameworks and benchmarks to evaluate the adoption, effectiveness, and impact of AI tools across engineering and cloud infrastructure teams.
  • Lead cross-functional programs focused on automated observability, AI-driven incident management, and intelligent cloud resource optimization.

Desired Qualifications

  • Experience supporting a CTO, VP of Engineering, or comparable technology executive in a high-growth or transformation environment.
  • Experience with annual planning, portfolio management, headcount planning, financial modeling, or investment reviews.
  • Experience supporting IPO readiness, mergers and acquisitions diligence, organizational transformation, or other enterprise-scale change.
  • Experience building operating standards, metrics, dashboards, or lightweight automation that materially improves decision quality.
  • Hands-on experience designing or deploying AI tooling, large language model integrations, AI-assisted coding, or automated operations platforms within large-scale engineering or cloud environments.

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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