Director, Engineering Operations

Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? Why would you love this job? Engineering Operations is a high-leverage function within the CTO organization. Its purpose is to make Engineering and Cloud Operations execution legible, commitments durable, and leadership time scalable—primarily through clarity, technical depth, and strategic influence. As Director, Engineering Operations, you will build and evolve the operating system of the CTO organization while steering the AI transformation of our engineering and cloud infrastructure operations. You will work across Engineering, Cloud Ops, and product partners to create confidence in delivery, surface technical risks early, drive modern AI-enabled engineering workflows, and empower leaders to focus on long-term strategy and architectural outcomes. This is a highly visible role for a deeply technical operator who can move comfortably between software architecture, cloud platforms, AI-driven automation, data, and organizational dynamics. You will succeed not by adding bureaucracy, but by introducing intelligent, modern structures for better architectural decisions, clear ownership, and scalable execution. What you’ll do: Own the Engineering operating system - 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—not simply status updates. Create execution visibility and confidence - 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. Align priorities, people, and investment - 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-geo and cross-functional operating norms so expectations are explicit rather than assumed. Provide leverage on strategic and special initiatives - 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, M&A diligence, or other initiatives requiring CTO-level coordination. - Know when to stay involved, when to escalate, and when to exit so Engineering Operations does not become a permanent dependency. Build durable operating muscle - 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—not compliance theater. Drive AI Transformation in Engineering and Cloud Operations - Architect and execute strategic initiatives that integrate AI technologies into software development lifecycles, CI/CD 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. What will you need to have? - Deep technical background in software engineering, distributed systems, or cloud infrastructure operations alongside experience in a strategic leadership or business operations role. - A demonstrated 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. - The ability to influence without relying on formal authority and to build trust across geographies, functions, and levels of the organization. - Comfort working in a fast-changing environment with incomplete information and competing priorities. Extra great if you have: - Experience supporting a CTO, VP 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, M&A 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, LLM integrations, AI-assisted coding, or automated ops platforms within large-scale engineering or cloud environments. We give back to our employees: Our culture is what makes Redis a fun and rewarding place to work. To support you at work and beyond,