Senior Engineering Manager

Zillow Zillow · Consumer · United States · Remote

Software-first leader to evolve a database platform engineering team into a modern, self-service, automation-first organization. The role involves setting technical strategy, growing talent, and partnering with product, analytics, AI, and security teams to build reliable data foundations. Emphasis on improving developer experience, reliability, security, and cost efficiency using modern tooling and AI-assisted workflows.

What you'd actually do

  1. You’ll set the technical strategy and operating model, grow engineering talent, and partner with product engineering, analytics, AI, and security to create reliable “paved roads” for relational and NoSQL workloads.
  2. You’ll get a chance to develop a team into a high-leverage engineering organization that ships tools, APIs, and golden paths that developers trust.
  3. Using product mindset and customer-centricity, you’ll drive measurable improvements in developer experience, reliability, security, and cost efficiency while reducing manual work and handoffs through modern tooling and AI-assisted workflows.
  4. You’ll attract and develop engineering talent, raise the bar on modern AI-assisted SDLC practices, and create durable partnerships across the Product and Engineering organization.

Skills

Required

  • 5+ years of people leadership experience
  • strong background in data infrastructure and/or data platforms
  • solid understanding of RDBMS, NoSQL, and analytics ecosystems
  • public cloud experience (AWS and/or GCP)
  • bias toward automation, APIs, and infrastructure-as-code (IaC)
  • familiarity with modern engineering stacks (Python/Golang)
  • high sense of ownership
  • low ego
  • can-do attitude
  • sense of curiosity
  • passionate about career development
  • mentoring and coaching
  • ability to seamlessly adapt communication style
  • strong commitment to operational excellence
  • using data to guide decision-making
  • fostering a culture of ongoing improvement
  • energized by problem solving, collaboration, and technical challenges

Nice to have

  • AI tools to increase leverage

What the JD emphasized

  • modernized data infrastructure teams from reactive operations to proactive platform engineering
  • AI-assisted workflows
  • modern AI-assisted SDLC practices