Manager, Software Engineering - Observability
AI summary of the role
Lead a 6-engineer team owning Figma's observability and AI observability platforms, including metrics, logs, tracing, and an AI telemetry pipeline for evals.
What you’ll do
- Lead and grow a 6-engineer team for observability and AI observability platforms.
- Own the AI observability ecosystem: privacy-safe telemetry pipeline for traces, conversations, and model data, enabling classification and evals.
- Own core observability stack (Datadog, etc.) ensuring high availability, data quality, and signal-to-noise.
- Set technical strategy for instrumentation standards, libraries, agents, and operators.
What you’ll bring
- 4+ years leading engineering teams in infrastructure, observability, platform, or AI systems.
- Strong foundation in distributed systems and platform mindset.
- Hands-on depth in observability, AI telemetry, or both.
- Fluency with Datadog, OpenTelemetry, Prometheus, or LLM tracing/evals.
Technologies
Datadog · OpenTelemetry · Prometheus · distributed tracing · LLM tracing · evals · AI telemetry · anomaly detection · SLO · instrumentation
About Figma
Browser-based collaborative design platform for product teams; expanding from UI design into AI-native multi-surface creation (Weave, Slides, FigJam, CMS, Dev Mode).
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
excited to shape the future of design and collaboration, join us! As the Engineering Manager for Observability, you'll lead the team building the systems that show Figma how its platform and its AI products actually behave in production. That spans our core observability stack, meaning metrics, logs, and distributed tracing, as well as a fast-growing new frontier: the AI observability pipeline that turns traces, conversations, and model outputs into the classification and evals that make Figma's AI features measurably better. You'll set strategy across both, raise the bar on instrumentation and data quality, and push into AI-driven approaches to anomaly detection and operational automation. Observability was an unowned space at Figma until recently, so this is a rare chance to shape an early-stage, high-leverage platform that every engineering team here depends on. This is a full time
More from the job description
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As the Engineering Manager for Observability, you'll lead the team building the systems that show Figma how its platform and its AI products actually behave in production. That spans our core observability stack, meaning metrics, logs, and distributed tracing, as well as a fast-growing new frontier: the AI observability pipeline that turns traces, conversations, and model outputs into the classification and evals that make Figma's AI [... source excerpt omitted ...] ou if you have: 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: you build systems other teams adopt and rely on, not just for your own team. Hands-on depth in observability, AI systems telemetry, or both, whether that means metrics, logs, and distributed tracing, or the traces, classification, and evals that power AI products. Fluency with the modern tooling in your area, such as Datadog, OpenTelemetry, and Prometheus, or LLM tracing, prompt and model versioning, and eva [... source excerpt omitted ...] right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides
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