Workflow Process Designer in United States

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t

About the Team The DeployCo Deal Desk helps turn customer deployment opportunities into clear, executable professional-services engagements. We partner across Deployment, Sales, Legal, Finance, Technical Revenue, and Operations to ensure every deal has a well-defined scope, pricing aligned to approved guardrails, complete approvals, and a clean handoff to delivery. The team sits at the intersection of commercial execution and delivery readiness. We make complex services deals easier to buy—and easier to deliver—while strengthening the templates and workflows that help DeployCo scale. About the Role We are hiring a hands-on Professional Services Commercial Lead to own the end-to-end deal desk workflow for assigned DeployCo professional-services engagements. You will personally draft and revise statements of work (SOWs), validate pricing and deal inputs, coordinate cross-functional reviews and approvals, and ensure commitments are clear, deliverable, and ready to execute. The differentiator in this role is drafting expertise: you have written SOWs, not simply routed them. You can turn technical and delivery inputs into precise scope, deliverables, milestones, assumptions, dependencies, acceptance criteria, fees, and change controls—then keep the deal moving. This is an individual-contributor role for an experienced contract manager, deal desk professional, or professional-services commercial operator who combines strong writing and commercial judgment with disciplined execution. What You’ll Do Own assigned DeployCo deals from intake through approval, signature, and operational handoff. Draft and revise SOWs, work orders, and change orders using approved templates and playbooks; partner with Legal on non-standard contractual terms and redlines. Validate rate cards, fees, hours and resourcing inputs, discounts, margin inputs, billing milestones, and key deal data against approved inputs and guardrails; reconcile the SOW to the quote and route exceptions with a clear rec

About the Team The Plugin Developer Platform team builds the APIs, SDKs, and tools that let people extend ChatGPT and Codex. We work on plugins, connectors, the Model Context Protocol (MCP), and interactive apps. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work covers plugin creation and publishing, the systems that run plugins across our products, and open standards that developers can build on. About the Role We’re looking for platform-minded engineers who know what it takes to build a platform developers want to use. You’ll work across developer-facing interfaces, APIs, and backend systems. You’ll own features from the first developer conversation through implementation and release. You’ll talk directly with developers, partners, and the open-source community. Their experience will inform the APIs and abstractions you design, the problems you prioritize, and the tradeoffs you make. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. What You’ll Do Design and ship APIs, SDKs, and services that developers use to extend ChatGPT and Codex. Make plugins easier to create, test, publish, update, and share. Improve compatibility and consistency across ChatGPT and Codex, including interactive app experiences. Contribute to MCP and other open standards, bringing practical developer needs into their design. Work with developers and partners to understand recurring problems and improve the platform, tooling, and documentation. Work with Product, Research, Security, and Trust & Safety on permissions, compatibility, and safe, reliable execution. You Might Thrive Here If You Have built software that other developers use. Your experience might include an open-source project, an API or SDK, a developer platform, internal too

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We’re looking for a Product Marketing Manager to grow Replit’s core creation products, including Design and Slides. These products already give people new ways to turn an idea into something they can see, share, and use. Your job is to help more people discover them, understand when to use them, and make them part of their regular workflow. You’ll own the connection between the product and its audiences: developing positioning grounded in customer needs, leading launches, finding channels that can drive sustained adoption, tracking the competitive landscape, and bringing market feedback back to Product. This role sits at the intersection of Product, Engineering, Growth, Brand, and Creative. It is a hands-on role for someone who can develop the strategy, write the narrative, and get the work into the market. What You'll Do Own the positioning and growth strategy for Replit’s core products, including Design and Slides. Develop audience-focused narratives, identify new use cases and channels, bring product improvements to market, and build programs that drive adoption, engagement, and conversion. Track competitors and customer needs, then translate those insights into sharper messaging, stronger go-to-market decisions, and actionable feedback for Product and Engineering. Required Skills & Experience Self-starter: You take ownership, work through ambiguity, and move from strategy to execution without waiting for a perfect brief. Audience-focused: You turn customer insight into clear positioning, relevant narratives, and campaigns built for specific audiences. Growth-minded: You find creative ways to expand adoption, test new channels and tactics, and turn successful experiments into repeatable programs.

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We're seeking a Design Engineer to bridge the gap between design and engineering at Replit. In this role, you'll help shape our design system implementation, architect front-end solutions, and ensure seamless user experiences across our platform. You'll be instrumental in creating the technical foundation that allows us to enable anyone with an idea to create apps. You will: Architect and implement complex UI components and systems that balance aesthetics with technical performance Lead the technical implementation and evolution of our design system (Replit UI) Create prototypes to explore new interaction models and validate design concepts Collaborate closely with product designers to bring designs to life with pixel-perfect precision Establish best practices for front-end development and component architecture Mentor engineers on design principles and implementation techniques Develop tools and processes to improve design-to-development workflow Contribute to design reviews with a focus on technical feasibility and implementation Champion accessible, responsive, and performant user interfaces Required Skills & Experience 8+ years of experience in front-end development with a strong design sensibility Expert-level knowledge of HTML, CSS, and JavaScript/TypeScript Deep experience with modern front-end frameworks (React preferred) Strong understanding of design systems and component-based architecture Experience implementing complex UI animations and interactions Proven ability to translate design concepts into production-ready code Strong communication skills to effectively collaborate with both design and engineering teams Experience with accessibility standards and best practices Bonus Qualificati

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is seeking a Senior Business Development Manager to lead and scale our outbound sales development team as we expand our go-to-market efforts. This role will oversee a team of BDRs (Business Development Representatives) proactively targeting and engaging high-potential accounts to build a robust pipeline for our Account Executives. The ideal candidate will have hands-on outbound prospecting experience and proven leadership skills, a strong understanding of the modern GTM technology, previous experience in creating systems and orchestrating technology to support an efficient & scalable 0->1 outbound workflow, and previous experience collaborating tightly with marketing and sales ops to build highly-targeted account lists and multi-channel outreach sequences. Experience & interest in vibe coding and/or technical experience is highly valued. This position is critical to our go-to-market strategy, responsible for defining our outbound playbook, identifying key target personas , hiring top-tier talent, coaching team members, and ensuring persistent, high-quality outreach & pipeline generation across all segments from SMB to Enterprise. You'll establish the foundation for scalable revenue growth while architecting a personalized first-touch experience that sets the tone for their Replit journey. We believe this role offers a distinctive opportunity for proven sales development professionals who excel in both strategic account targeting and team leadership, with a passion for technology and AI. You'll leverage your expertise to build a world-class BDR organization that effectively cuts through the noise to communicate Replit's value proposition: a world where anyone can create software using natural langu

What you’ll do Own and evolve the Quality Management System (QMS) to support a regulated medical device development program, including design controls and DHF maintenance. Establish and enforce requirements traceability: user needs → design requirements → verification/validation artifacts and change control. Define and run the program-level V&V strategy (verification, validation, and test coverage), including test plans, protocols, reports, and acceptance criteria. Drive risk management activities (e.g., DFMEA / PFMEA, hazard analyses) and ensure mitigations are reflected in requirements and verification. Lead document control: reviews, approvals, training, retention, and audit readiness. Partner with engineering to make quality “native” to the dev workflow (automated testing, release gates, software configuration management). Prepare the program for audits and inspections, including hands-on audit leadership. What we’re looking for Senior experience leading quality for complex hardware + software products in a regulated environment. Deep familiarity with design controls, DHF, document control, risk management, and verification planning. Strong systems thinking and the ability to translate ambiguous product intent into testable requirements. Comfortable collaborating directly with multidisciplinary engineering (recon/ML, embedded, mechanical, EE, cloud). Useful experience Regulated product quality leadership (ISO 13485 / 21 CFR 820 or equivalent), including audit readiness and FDA-facing work. eQMS + document control fluency (e.g., Greenlight Guru) that integrates cleanly with modern engineering workflows.

The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of MongoDB. Join our team and be at the forefront of innovation and creativity. We are looking for a Staff Engineer with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components that ensure the scalability, efficiency, and reliability of our services. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation, build and test. This role will be based remotely in North America. A strong candidate for this position will have Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL Experience with tools and methodologies for code analysis, refactoring, and automated testing Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear unde

About the Team The DeployCo Deal Desk helps turn customer deployment opportunities into clear, executable professional-services engagements. We partner across Deployment, Sales, Legal, Finance, Technical Revenue, and Operations to ensure every deal has a well-defined scope, pricing aligned to approved guardrails, complete approvals, and a clean handoff to delivery. The team sits at the intersection of commercial execution and delivery readiness. We make complex services deals easier to buy—and easier to deliver—while strengthening the templates and workflows that help DeployCo scale. About the Role We are hiring a hands-on Professional Services Commercial Lead to own the end-to-end deal desk workflow for assigned DeployCo professional-services engagements. You will personally draft and revise statements of work (SOWs), validate pricing and deal inputs, coordinate cross-functional reviews and approvals, and ensure commitments are clear, deliverable, and ready to execute. The differentiator in this role is drafting expertise: you have written SOWs, not simply routed them. You can turn technical and delivery inputs into precise scope, deliverables, milestones, assumptions, dependencies, acceptance criteria, fees, and change controls—then keep the deal moving. This is an individual-contributor role for an experienced contract manager, deal desk professional, or professional-services commercial operator who combines strong writing and commercial judgment with disciplined execution. In this role, you will: Own assigned DeployCo deals from intake through approval, signature, and operational handoff. Draft and revise SOWs, work orders, and change orders using approved templates and playbooks; partner with Legal on non-standard contractual terms and redlines. Validate rate cards, fees, hours and resourcing inputs, discounts, margin inputs, billing milestones, and key deal data against approved inputs and guardrails; reconcile the SOW to the quote and route exceptions with a

About the Team OpenAI's mission is to ensure that AGI benefits all of humanity. The Business Systems team helps make that mission possible by building the internal products and platforms that allow OpenAI to operate with speed, reliability, and care. We build internal applications and workflows for Finance and Supply Chain. Our work spans product discovery, React and TypeScript interfaces, Python services and APIs, data models, workflow orchestration, enterprise integrations, and the systems that connect people to systems of record. We work directly with the people who use these products and care about correctness, permissions, auditability, and production reliability. Examples of our work include building an integration platform for supply chain integrations, integrations with Oracle Fusion and Zip, contract intelligence applied to B2B revenue recognition, and Temporal-based agentic workflows for credit checks, duplicate bank detection, and invoice triaging. We turn these efforts into reusable patterns that can support many workflows, rather than one-off automations. About the Role We are looking for Product Engineers to build internal applications end to end. This role spans product discovery, user experience, frontend, backend services, data models, workflow orchestration, and integrations with order management, fulfillment, and supply chain systems. You will take a problem from a first conversation with a Finance or Supply Chain partner through design, implementation, rollout, and production support. Strong candidates combine product judgment with engineering depth. You should be comfortable moving between a React interface, a Python API, a durable workflow, and an integration with an enterprise system. You should be able to ship a useful first version quickly while building the foundations for reuse, security, and long-term maintainability. Direct AI experience is helpful, but the core requirement is strong product engineering judgment and reliable execution. I

About the Team OpenAI’s Cyber team works to make frontier AI a decisive advantage for defenders. The Cyber Blue Team is an operator-led group focused on turning real defensive problems into better models, useful products, safe Codex workflows, and integrations with the security tools defenders already use. Our ambition is simple: Raise attacker cost. Lower defender toil. Prove it by defending OpenAI; scale it through the ecosystem. We are not setting out to build another SIEM or autonomous SOC. We want to build the AI reasoning and workflow layer that helps security teams investigate threats, create and validate detections, improve their controls, and respond with greater speed and confidence. About the Role We are looking for a Product Manager to help build a new generation of AI-powered cyber defense products. You will work closely with security practitioners, researchers, engineers, designers, internal security teams, customers, and technology partners to turn emerging model capabilities into products that solve meaningful defensive problems. This is an early-stage product role. The work will span product discovery, prototyping, evaluation, development, launch, and iteration. You will help the team identify where AI can create the most value for defenders and translate those opportunities into clear, usable, and trustworthy product experiences. Initial areas of focus may include: Detection engineering and detection-content development Threat hunting and investigation Security validation and control testing AI-agent and MCP runtime defense Integrations with security platforms and enterprise workflows Safe, governed assistance for incident response The specific roadmap will continue to evolve based on model progress, practitioner needs, internal learnings, and customer feedback. In This Role, You Will Work with security practitioners to understand high-value defensive workflows, recurring pain points, and opportunities for AI to materially improve outcomes. Help sh

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript,

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. Design and implement APIs to facilitate data interactions between internal services and external data sources. Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. Optimize backend services for performance, scalability, and security in a distributed computing environment. Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in full-stack development. Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). Experience building data-intensive applications that handle large-scale datasets. Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). Prior experience with web crawling and large-scale data processing is a

About the Team The Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently. About the Role As a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products. We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development. 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: Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services. Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems. Improve performance, resilience, and scalability of core services that power customer-facing applications. You might thrive in this role if you: Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence). Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows. Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems. Excel at communication and collaboration with cross-functional teams, and are obsesse