Senior Product Design Manager, Observe by Snowflake

Snowflake Snowflake · Data AI · CA-Menlo Park, United States · Product Management

The Senior UX Manager will lead UX strategy for Snowflake's AI-powered observability platform, Observe by Snowflake. This role involves defining UX for AI SRE, APM, Metrics, Log/Trace Explorers, and the Observability Context Graph, and managing a design team. The focus is on creating AI-native design patterns and anticipating how AI agents will reshape user workflows in observability.

What you'd actually do

  1. Lead UX strategy across Observe's core surfaces: AI SRE, service maps, log/metric/trace explorers, dashboards, alerting, and onboarding flows
  2. Champion AI-native design patterns that meet SREs, developers, and executives in their native workflows (IDE via MCP, CLI, chat, visualization)
  3. Partner with senior PM and engineering leadership as a co-architect of product and UX strategy, ensuring every design decision maps to customer outcomes and business impact
  4. Manage and grow a diverse, technically fluent design team with a focus on career development, AI upskilling, and design craft
  5. Drive a prototype-first, code-enabled design culture that validates ideas fast and ships with velocity

Skills

Required

  • 8–10+ years designing complex, data-heavy developer or infrastructure products
  • Deep familiarity with observability, monitoring, or incident management user workflows
  • Demonstrated ability to design for AI-native surfaces: chat interfaces, agent workflows, context-aware UI, and explainability patterns
  • Track record of shipping high-quality work at speed using iterative, prototype-driven processes
  • Strong systems thinking
  • Experience managing and developing high-performing design teams
  • Excellent communication skills

Nice to have

  • Background as an SRE, developer, or platform engineer
  • Experience designing MCP-integrated or CLI-adjacent developer tools
  • Familiarity with OpenTelemetry, distributed tracing, or observability platforms
  • Experience contributing code to the product

What the JD emphasized

  • AI-native design patterns
  • AI agents and agentic workflows
  • AI upskilling