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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Software Engineering - AI Observability - **Company:** AI, INC. - **Location:** New York, United States - **Experience:** Experienced - **Salary:** $258,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Distributed Systems, Machine Learning, Prometheus, Screen Reader, Datadog, System Availability, Large Language Models, Build Tools, Figma, Software Version Control, Dynatrace - **Published:** September 12, 2026 - **Apply:** https://startup.jobs/manager-software-engineering-ai-observability-figmadesign-9020756 ## About the Role * 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 eval workflows. * A high operational bar (instrumentation and data quality, SLO design, incident response) and the ability to set technical direction and drive cross-functional alignment in complex environments., * Breadth across both classic observability and AI observability, or the curiosity to grow into whichever is newer to you. * Experience creating AI Telemetry-assisted improvement feedback loops for services, in particular 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., 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. ## Description * Lead and grow a 6 engineer team responsible for the reliability, scalability, and evolution of Figma's 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 lets teams run evals to measure and improve AI feature quality. * Own Figma's core observability stack, including platforms like Datadog, ensuring high availability, strong data quality, and a healthy signal-to-noise ratio across metrics, logs, and traces. * Set the technical strategy for the 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., * Holding interviews in an accessible location * Enabling closed captioning on video conferencing * Ensuring all written communication be compatible with screen readers * Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. ## Related Videos - [Unlocking the AI Black Box: Building Trust in the Era of Agentic Production](https://www.wearedevelopers.com/videos/100086-unlocking-the-ai-black-box-building-trust-in-the-era-of-agentic-production) - [Boost Productivity with AI: Figma & Playwright MCP Workflows - Aris Markogiannakis](https://www.wearedevelopers.com/videos/1768-boost-productivity-with-ai-figma-playwright-mcp-workflows-aris-markogiannakis) - [The Power of Purpose: Unlocking Potential and Innovation](https://www.wearedevelopers.com/videos/1110-the-power-of-purpose-unlocking-potential-and-innovation) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Mastering AI-Driven Problem Solving in Engineering with Observability](https://www.wearedevelopers.com/videos/994-mastering-ai-driven-problem-solving-in-engineering-with-observability) - [Designing the Future of Human<>Agent Collaboration](https://www.wearedevelopers.com/videos/1447-designing-the-future-of-human-agent-collaboration) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)