Software Engineer - AI Platform Team

As a Staff Software Engineer on our Satori AI Platform team, you will drive the architecture of the internal platform that every Proofpoint product team uses to build agentic applications - spanning AI-assisted development, evaluation-based release gates, OpenTelemetry observability for agents in production, and cross-product AuthX for AI workloads.

Your direct users are fellow product engineers, and the products they ship protect business-critical communications for Fortune 100 customers 24/7/365. The patterns and primitives you set will define how mission-critical agentic software ships across the company. This is a uniquely-challenging role: we empower small teams to make large impacts, the systems are inherently non-deterministic, and the bar for what we ship to product teams is high.

- Set architectural direction for one or more platform pillars: AI-assisted developer workflows, eval-driven release gates, OpenTelemetry for LLM/agent traffic, cross-product AuthX, etc.

- Design agent runtimes and SDKs on frameworks like LangGraph, OpenAI Agents SDK, Anthropic's Agent SDK, and MCP, in Python (typed) and TypeScript/Node

- Define what "release-ready" means for an agent at Proofpoint: the eval suites, safety checks, telemetry, and AuthX contracts that gate every rollout

- Partner with product team tech leads across the org to land your architecture in their stacks; turn one-off integrations into reusable platform capabilities

- Drive the standards for prompt management, model selection, cost/latency budgets, and observability across products Design, code, review, test, and deploy software features in our application stack - Staff engineers at Proofpoint still write code

- Mentor engineers across the platform and product teams; raise the company-wide bar for what production agentic software looks like

- Experience developing and supporting AI-powered applications, with exposure to agentic or LLM-based systems in development, testing, or production environments.

- Proficiency in Python and/or TypeScript/Node.js, with the ability to write maintainable, scalable, and well-tested code.

- Familiarity with agent frameworks such as LangGraph, LangChain, OpenAI/Anthropic Agents SDK, MCP, or similar technologies.

- Exposure to evaluation, monitoring, and observability concepts for AI applications, including experience with tools such as LangSmith, Braintrust, promptfoo, OpenTelemetry, or similar solutions.

- Experience troubleshooting application and service issues using logs, metrics, traces, and other diagnostic tools.

- Ability to collaborate effectively with engineering, product, and platform teams to deliver solutions and resolve technical challenges.

- Experience designing, developing, and supporting applications in cloud-based and/or microservices environments.

- Strong written and verbal communication skills with the ability to clearly share ideas, provide updates, and participate in technical discussions.

- Demonstrated curiosity, attention to detail, and a willingness to learn new technologies and apply feedback.

- A proactive, team-oriented mindset with a willingness to take ownership of assigned work and contribute to team success.

- B.S. or M.S. in Computer Science or a related field, or equivalent practical experience.

SF Bay Area, New York City Metro Area: Base Pay Range: 136,200.00 - 214,005.00 USD

California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska: Base Pay Range: 112,700.00 - 177,100.00 USD

All other cities and states excluding those listed above: Base Pay Range: 101,600.00 - 159,720.00 USD