Engineering Manager (TLM, Agents)

About the Team Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams. About the Role As an Engineering Manager, Identity Platform you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products. In this role, you will: Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth. Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems. Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance. Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards. Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals. Establish processes and a culture that enable fast learning, high trust, and responsible innovation. Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong sec

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid’s Network Health team protects Plaid and our network from fraud and abuse. We build robust, intelligent yet flexible risk platforms and services to empower risk detection, mitigation, and resolution across all Plaid products and applications. As Engineering Manager for Network Health, you will lead a growing, deeply technical team responsible for risk engineering at Plaid. You will set the long-term strategy and roadmap, translate evolving fraud scenarios and business requirements into technical priorities, and drive execution with a high technical bar. You will manage and grow software engineers, partner closely with embedded data scientists and machine learning engineers, and work hands-on with the data to identify trends and opportunities. This role is well suited to a high-agency leader who thrives in ambiguity and wants to remain close to the work while shaping a critical new team. Responsibilities: You’ll lead a team of 5 engineers and 2 embedded data scientists, developing them through clear goal setting, coaching, and feedback. You’ll drive the long-term Network Health strategy and roadmap, in close partnership with technical and product leaders across Plaid You’ll u

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Agent Orchestration team builds the runtime and model orchestration layer that powers Decagon’s agents in production. This is the orchestration layer that turns workflows, tools and guardrails into a reliable, low-latency, and delightful experience for end users. At the core of this work is the agent harness: the routing, execution logic, tool orchestration, and control-plane systems that determine how an agent behaves in a live conversation. The team owns the full execution lifecycle of each conversation—from selecting workflows and orchestrating multiple models (e.g., router/planner/supervisor patterns), to coordinating tool calls, enforcing safety constraints, and communicating back to the user. The team operates across both real-time systems (e.g., voice interactions with strict latency requirements) and longer-horizon execution (supporting more complex reasoning and workflows). Our research shows that an agent’s task execution reliability increasingly depends on the orchestr

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview Harvey is building the AI platform trusted by the world's leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We're looking for a Engineering Manager to lead our Infrastructure Production Engineering organization. This team is responsible for building and operating Harvey's core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations that enable engineering teams to move quickly with confidence. In this role, you'll own the reliability, scalability, security, and efficiency of Harvey's infrastructure platform. You'll lead a team of high-performing engineers responsible for comput

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As the Engineering Manager for Model Infrastructure, you'll lead the team responsible for the platform powering every model request across Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external AI providers to ensure our platform remains reliable, scalable, and cost-efficient as our business grows. Model Infrastructure is one of Harvey's most strategic engineering organizations. Every product capability—from chat experiences and agents to document workflows and future reasoning systems—depends on this platform. Over the next several years, the team will evolve beyond operating third-party models to building the infrastructure that enables Harvey to train, evaluate, deploy, and operate our own frontier AI models. This role off

About the team Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work. Rosalind Workbench brings together the scientific tools, data sources, interactive biology file viewers and core life sciences workflows into a central environment to help scientists investigate questions, design experiments, analyze results, and advance discovery. Rosalind Workbench can be used with any OpenAI models including GPT-Rosalind, our dedicated life sciences model, which combines frontier reasoning with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications. Our long term vision is for teams of agents to work together across these domains, giving researchers access to broader expertise and the ability to pursue more ambitious scientific questions. About the role We’re looking for an Engineering Manager to lead the team building Rosalind Workbench and its supporting infrastructure. You’ll hire and develop engineers, set technical direction, and turn an ambitious product roadmap into focused, reliable releases. This is a hands-on leadership role. You should be comfortable reviewing architecture and code, investigating difficult failures, and helping engineers make consequential technical decisions. You’ll work closely with product, design, research, Codex engineering, and customer-facing teams to bring new scientific capabilities into everyday use. In this role, you will Build and lead the engineering team. Hire strong engineers, coach technical leaders, provide clear feedback, and establish ownership and accountability across product and infrastructure work. Drive technical planning and delivery. Translate scientific and cust