Ai Agent Engineer in United States

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Risk Operations Technology Enablement team sits within the Risk Operations org and is responsible for partnering across Risk teams to shape the technical infrastructure that enables us to scale our Risk operations and achieve our dual goals of preventing bad actors from exploiting Stripe’s systems and delivering an exceptional user experience for legitimate users. More specifically, our team partners with Risk product and engineering teams to identify, scope, prioritize, pilot, and roll out technical infrastructure and tooling improvements to protect Stripe and serve our users. From the application of AI to our reviews, to agent diagnostic and resolution tools, to review and support case routing, to our user-facing risk support surfaces, our team’s mandate is expansive and a major lever in both protecting Stripe and its users from risk as well as improving the user experience. What you’ll do You’ll lead and develop a high-performing team of Engineering Program Managers who deliver technical programs with step-change impact for Stripe. You’ll build strong partnerships and operating mechanisms with Risk Engineering and Product, co-develop the strategy for Risk’s technical infrastructure grounded in a deep understanding of the Risk technology stack, and own mission-critical technical processes (e.g., Risk Ops tooling-stack prioritization). Responsibilities Shape and drive alignment on Risk Operations’ technical strategy that enables us

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. Product at Baseten Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the first people who will help define it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for building great AI Infrastructure. PMs at Baseten don't sit above engineers - you earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences. The role Getting a model into production still takes real expertise — choosing a serving engine, sizing hardware, tuning it, wiring it into an app. We want a developer to go from "it runs on my laptop" to "it's serving production traffic" in minutes, on their own. You'll own the entire experience a developer touches to deploy and iterate: the CLI and SDKs, the console, onboarding, model discovery, deployment configuration, truss, and the increasingly agent-driven ways developers build. Your job is to make Baseten synonymous with Great DevEx and make it effortless to drive and self-serve deploy models on Baseten for far more developers than it is today. Impact and outcomes you'll drive You will collapse time-to-production — take a developer from first sign-up to a running, maint

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role Is Different This is not a typical “Applied Scientist” or “ML Engineer” role. As a Member of Technical Staff, Applied ML, you will: Work directly with enterprise customers on problems that push LLMs to their limits. You’ll rapidly understand customer domains, design custom LLM solutions, and deliver production-ready models that solve high-value, real-world problems. Train and customize frontier models — not just use APIs. You’ll leverage Cohere’s full stack: CPT, post-training, retrieval + agent integrations, model evaluations, and SOTA modeling techniques. Influence the capabilities of Cohere’s foundation models. Techniques, datasets, evaluations, and insights you develop for customers will directly shape the next generation of Cohere’s frontier models. Operate with an early-startup level of ownership inside a frontier-model company. This role combines the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab. Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes. Few roles in the industry combine application, research, customer-facing engineeri

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role Is Different This is not a typical “Applied Scientist” or “ML Engineer” role. As a Member of Technical Staff, Applied ML, you will: Work directly with enterprise customers on problems that push LLMs to their limits. You’ll rapidly understand customer domains, design custom LLM solutions, and deliver production-ready models that solve high-value, real-world problems. Train and customize frontier models — not just use APIs. You’ll leverage Cohere’s full stack: CPT, post-training, retrieval + agent integrations, model evaluations, and SOTA modeling techniques. Influence the capabilities of Cohere’s foundation models. Techniques, datasets, evaluations, and insights you develop for customers will directly shape the next generation of Cohere’s frontier models. Operate with an early-startup level of ownership inside a frontier-model company. This role combines the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab. Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes. Few roles in the industry combine application, research, customer-facing engineeri

About the Team The SaaS and Software Governance team sits within Corporate IT and helps OpenAI scale from startup-speed tooling to mature enterprise architecture. The team owns practical governance for software, SaaS, integrations, APIs, identity, data access, and agent-enabled workflows, with a mandate to improve security, reduce software sprawl, and help business teams move faster through better foundations. About the Team OpenAI is scaling from an emerging, high-velocity startup into a mature enterprise operating model. The IT Software Architect will help shape the software, SaaS, Data integration, and agent-enabled architecture that lets the company move quickly while improving security, compliance, data quality, and customer, partner, and employee experience. This role is not a traditional ivory-tower architecture function. It is a hands-on governance and enablement role that partners with business teams, IT operations, Security, Procurement, Business Platforms, Applied teams and Data Engineering to guide software decisions, reduce unmanaged sprawl, and build reusable enterprise foundations. Why This Role Matters OpenAI’s software footprint is expanding rapidly across SaaS, internally built tools, agents, integrations, APIs, third-party platforms, and application systems that OpenAI. The company needs a stronger tools architecture layer that can help teams make good decisions early, avoid duplicate tools, govern sensitive data and identities, and identify where OpenAI should build instead of buy. The person in this role will help turn software governance from an approval checkpoint into an enterprise capability: a system that improves speed, reliability, security, and business outcomes. What You'll Do Own the target architecture for enterprise software, SaaS, integrations, APIs, and agent-enabled business systems across Corporate IT. Drive deprecation and consolidate targets for enterprise software. Build lightweight governance patterns that guide teams before

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Identity team builds the foundational systems that enable people, organizations, devices, and agents to securely access OpenAI products. The team works across consumer and enterprise experiences, including account structures, sign-in, authentication, recovery, privacy, permissions, administration, and agent identity. As AI systems become increasingly capable of acting on behalf of people and organizations, we are defining new models for authorization and trust across human-to-agent and agent-to-agent interactions. About the Role In this role, you’ll lead design for foundational identity experiences across OpenAI’s products. You’ll make permissions, access, risk, and administration feel clear, safe, and genuinely usable—whether someone is securing a personal account, administering access across an enterprise, signing in to another product with ChatGPT, or authorizing an agent to perform sensitive work. Your work will span established identity challenges and emerging interaction models without established design conventions. You’ll help define how users understand what an agent can access, who or what it is acting on behalf of, and when confirmation or stronger authentication should appear. Working closely with product, engineering, security, privacy, and design, you’ll translate complex policies and technical systems into coherent, trustworthy experiences. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role, you will: Lead the design direction for identity, account security, permissions, and administrative experiences across OpenAI’s consumer and enterprise products. Design and ship high-quality experiences spanning sign-in, authentication, account recovery, device accounts, privacy, access controls, governance, and remediation. Define mental models and interaction patterns for human-to-agent and

About the Team The Account & Platform Integrity Operations team protects OpenAI’s ecosystem by ensuring that users, developers, partners, and organizations can access and build on our platform safely and responsibly. The team works across account integrity, fraud prevention, abuse detection, and platform risk to prevent bad actors from exploiting OpenAI’s products and developer surfaces. This role will sit within the Account & Platform Integrity Operations team while partnering closely with teams across the Ecosystem organization to ensure the platform can scale rapidly without compromising trust, quality, or safety. About the Role - Platform Operations Program Manager As OpenAI's developer ecosystem expands, we're building the operational foundation to support the next generation of plugins, MCP apps, agent skills, and integrations. As a Platform Operations Program Manager, you'll partner across Product, Engineering, Policy, Legal, Security, and Developer Experience to design the systems and operating models that enable ecosystem growth while maintaining quality, trust, and an exceptional developer experience. This role requires strong operational judgment, a deep understanding of developer platforms and APIs, empathy for the developer experience, and the ability to translate evolving product, platform, and policy requirements into scalable operational systems. Location: San Francisco, CA (Hybrid - 3 days in office) What You'll Do Own the operational processes that help developers bring apps, plugins, and integrations to market, from submission and review through launch, appeals, and ongoing monitoring. Manage external review partners and policy operations workflows, helping teams apply standards consistently while identifying areas where guidance, process, or quality expectations need to improve. Partner with Product, Engineering, Policy, Legal, Security, Developer Experience, and Go-to-Market teams to turn platform goals and requirements into clear, effec

About the Team: The OpenAI API team builds the foundation that enables every developer to harness OpenAI’s models safely, reliably, and at scale. Our mission is to make it effortless for any developer to build transformative products with OpenAI’s models. We’re responsible for the infrastructure and product layers that allow millions of developers to integrate our models, fine-tune behavior, manage data, and deliver experiences to their users. We collaborate deeply across product, research, and engineering teams to drive innovation at the model layer and then directly translate that into value for customers. About the Role: As the Agents Product Manager for the API team, you'll be at the forefront of defining and guiding the future of how developers build agentic applications on top of our AI models. You’ll set clear priorities and drive impactful improvements to model capabilities, balancing user needs, safety considerations, and technical innovation. This role is perfect for a proactive, technically adept PM who thrives on solving challenging, ambiguous problems through structured product thinking and close collaboration with customers, engineers, and researchers. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Deeply understand problems faced by agent builders and identify opportunities where our products and models can make building agents faster, more intuitive, more reliable, and more powerful. Define strategic priorities and roadmap for improving agentic infrastructure for API users, focusing on user outcomes and emerging capabilities. Partner with research and engineering teams at a technical level to translate those priorities into developer products and features (SDKs, APIs, and more). Deliver quickly while maintaining a high bar for product quality and user experience. You might thrive in this role if you: Have 5+ years of product management or related industry experience. Proven track record of b

About the Team OpenAI's data and storage infrastructure spans data platforms, online databases, and file/object storage. These systems underpin data ingestion and processing, durable persistence, indexing and retrieval, and product file experiences. As frontier models and agents evolve how they use memory, history and snapshots, the underlying architecture increasingly shapes the capabilities products can deliver—and their latency, reliability, cost and efficiency. About the Role We are looking for a technically deep TPM to independently define and lead multiple programs across data platforms, online databases and storage infrastructure. You will connect model, product and data-consumer requirements to architecture, and work with the relevant engineering teams to take new capabilities through production adoption and repeatable expansion. The design scope is exabyte-scale storage and infrastructure spanning multiple millions of CPU cores. The challenge is not simply forecasting more resources: it is making complete, workload-ready capacity repeatable, with a clear path from product requirements through architecture, deployment and validation. A data pipeline, database query, file operation or execution snapshot can affect whether a product or agent succeeds; you will connect those outcomes to the systems underneath. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Translate model, product and data-platform needs into precise access patterns, consistency, durability, freshness, availability and scalability requirements. Connect memory, history, retrieval and resumable work to capability and end-to-end latency. Partner with engineering to transform data and storage architecture into repeatable scale units: standardized provisioning, placement, routing, data movement and readiness checks that bring storage, compute and networking online together.

About the Team The GTM Intelligence Solutions team builds the data and decision systems that help customer-facing teams take the right action at the right time. We combine product telemetry, commercial data, customer context, and field activity to identify account health and opportunity, recommend actions and use cases, deliver intelligence through field-facing products and agent workflows, and measure what happens next. We’re looking for a Data Scientist to help build the next generation of GTM intelligence at OpenAI. You will own a flexible portfolio of high-impact decision data products and work closely with Technical Success and other GTM teams to ensure the work drives better decisions. About the Role As a Data Scientist on GTM Intelligence Solutions, you will define and build the intelligence systems that help customer-facing teams prioritize accounts, identify risks and opportunities, choose interventions, and understand what worked. You will set the roadmap and methodology, build canonical features, ship reliable production workflows, monitor quality and adoption, and improve the systems using field feedback and business outcomes. This role combines hands-on technical depth with strong product and business judgment. You should be as comfortable writing production Python and advanced SQL, defining durable data contracts, and operating decision products as you are evaluating a ranking approach or designing an experiment. You will personally ship reliable first versions and partner with Analytics Engineering and Data Engineering when work requires shared infrastructure or additional scale. In This Role, You Will Set the roadmap and methodology for GTM intelligence and decision products, using deep stakeholder discovery to probe beyond stated requests, uncover the underlying decisions, workflows, constraints, and measures of success, and translate them into measurable systems. Own the full lifecycle of intelligence products, including feature definition, methodo

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership. We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows. About the Role This senior leader will own key elements of Ads revenue accounting from technical assessment through operational execution. The role will guide accounting for products, pricing, contracts, incentives, credits, refunds, makegoods, international expansion, and new go-to-market motions. It will establish governance and translate approved accounting positions into launch, billing, data, close, reconciliation, and control requirements. Success requires deep technical revenue expertise, strong business partnership, and the ability to build durable 0-to-1 processes in a fast-changing environment. Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead technical accounting assessments for Ads products and commercial arrangements, including performance obligations, variable consideration, allocation, principal-versus-agent, collectibility, contract modifications, refunds, incentives, credits, makegoods, and revenue presentation. Own and continuously evolve Ads revenue accounting policies and operating guidance as product behavior, pricing, contracting, incentive programs, and billing models change. Establish governance for new pro

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As an Agentic Risk Analyst, you will shape OpenAI’s operating picture for current agentic risk across products and platforms. You will bring a strategic, system-level perspective to current risks, connecting individual incidents, technical findings, abuse patterns, and external developments to relevant workstreams, mitigations, owners, dependencies, and residual gaps. You will analyze how risks emerge through autonomy, multi-step task execution, tool use, memory, retrieval, connectors, computer-use capabilities, and multi-agent workflows, with a particular focus on both adversarial misuse and unintended system behavior. By synthesizing signals from investigations, evaluations, red teaming, security reviews, product launches, external research, and real-world incidents, you will maintain a current view of material risks and evolving threat patterns. Your work will help turn complex and often ambiguous signals into coordinated decisions and measurable follow-through across product, safety, security, policy, and governance teams. You will work closely with investigators, engineers, product, policy, safety, and security teams, and measurement and forecasting

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff Software Development Engineer-AI Security to join our team. This is a Hybrid (based in San Jose, CA or Bellevue, WA with a 3 days in office requirement) role, reporting to the Director of Software Engineering in the Emerging Tech department. You will be responsible for designing and implementing core infrastructure components and distributed systems, serving as a foundational architect for our AI security solution. This high-impact role focuses on scaling security infrastructure to support hundreds of millions of users, collaborating with stakeholders across the development lifecycle to drive innovation and technical excellence. What you’ll do (Role Expectations) Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture Build resi

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role We’re looking for an AI Applications Engineer to help drive Notion’s business transformation efforts. In this role, you’ll be a strategic partner to our internal stakeholders (primarily GTM, Finance and People teams) and deliver and scale creative AI-driven solutions to multi-faceted problems with measurable business impact. You’ll also build reusable components, evaluation patterns, and operational guardrails that make AI delivery repeatable across teams. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You’ll Achieve Work with stakeholders to discover opportunities from ambiguous problem statements, translate them into scoped solutions, and drive iterative releases from idea to adoption Build and ship end‑to‑end AI solutions—from problem framing through data readiness, modeling, evaluation, and production rollout Establish evaluation and production-readiness patterns (met

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Applied AI team at Ramp is at the forefront of leveraging AI to drive innovation across our platform. We are seeking strong full-stack engineers who are proficient in web frameworks, backend development, and infrastructure. You will work on exciting projects such as AI Agents, Retrieval-Augmented Generation, Structured Extraction (we made https://github.com/1rgs/jsonformer ), internal tooling for customer-facing teams, fine-tuning models, and build infrastructure for LLM inference. If you're passionate about working on real production use cases of large language models (LLMs) and want to contribute to groundbreaking AI applications, this role is for you. What You’ll Do Ship full-stack AI projects end to end Build and integrate components for AI infrastructure, supporting production-level inference and fine-tuning Develop and improve engineering processes, tools, and systems to scale AI solutions across Ramp Create tools and internal platforms to enhance the productivity and capabilities of Ramp's AI and engineering teams What You