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Figma

Makes browser-based tools for teams to design apps

Engineering Manager - AI Observability

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 4 years of experience leading and growing engineering teams in infrastructure, observability, platform, or AI systems, with a track record of delivering reliable production systems at scale.
  • A strong foundation in distributed systems and a platform mindset, building systems that other teams adopt and rely on.
  • Hands-on depth in observability, AI systems telemetry, or both, including metrics, logs, distributed tracing, traces, classification, or evaluations that power AI products.
  • Fluency with modern tools in the relevant area, such as Datadog, OpenTelemetry, and Prometheus, or large language model tracing, prompt and model versioning, and evaluation workflows.
  • A high operational bar covering instrumentation and data quality, service-level objective design, and incident response, and the ability to set technical direction and drive cross-functional alignment in complex environments.

Responsibilities

  • Lead and grow a six-engineer team responsible for the reliability, scalability, and evolution of the observability and AI observability platforms.
  • Own and evolve the AI observability ecosystem: a privacy-safe telemetry pipeline that aggregates trace, conversation, and model data, runs classification, and enables teams to run evaluations to measure and improve AI feature quality.
  • Own the core observability stack, including platforms such as Datadog, ensuring high availability, strong data quality, and a healthy signal-to-noise ratio across metrics, logs, and traces.
  • Set technical strategy for instrumentation standards, libraries, agents, and operators that monitor services across the company.
  • Explore and ship AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.
  • Partner across infrastructure, product engineering, finance, and security to give teams clear visibility into system health at scale, including cost efficiency as the team's scope grows.
  • Coach and develop engineers through career growth, feedback, and technical leadership, building a culture of ownership and high-quality execution.

Desired Qualifications

  • Breadth across both classic observability and AI observability, or curiosity to grow into the area that is newer to the candidate.
  • Experience creating AI telemetry-assisted improvement feedback loops for services, particularly for AI products and features.
  • Experience improving infrastructure efficiency, including cost attribution, forecasting, vendor negotiation, and usage modeling.
  • A track record designing company-wide observability standards, shared libraries, and agent- or operator-based integrations.
  • Experience applying AI or machine learning to anomaly detection, root cause analysis, or operational automation.
  • Experience scaling and mentoring high-performing teams through platform expansion or major architectural change.

About the Company

Figma

Makes browser-based tools for teams to design apps

Figma makes design software that runs in a web browser, where designers, developers, and product managers create apps and websites together. Its first public release in 2016 brought Google Docs-style live editing to professional design, so several people could work in the same file at once. Teams draw screens and clickable prototypes in Figma Design, brainstorm on the FigJam whiteboard, and hand designs to engineers through Dev Mode, while Figma Make turns written prompts into working prototypes and apps. Anyone can start on a free plan, and companies pay a monthly or yearly fee for each user, plus extra for heavy AI use. Figma was founded in 2012 and is based in San Francisco.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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