Customer Care France in United States

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT Multimodal team works across voice, image generation, and other multimodal experiences to turn frontier research capabilities into reliable products. The team connects product usage and failure patterns with research, evaluation, data, inference, capacity, and external partnerships so that model and product improvements translate into better experiences for users. About the Role We are seeking a Technical Program Manager to build the flywheel that helps ChatGPT multimodal products learn from real-world usage and improve quickly. You will lead programs spanning production-signal mining, evaluation and data pipelines, research-to-production parity, multimodal capacity planning, and complex cross-functional dependencies for voice and image-generation launches. You will work closely with product engineering, research, Human Data, inference and capacity teams, safety partners, and external vendors or product partners. Success requires technical depth, strong systems thinking, comfort with ambiguity, and the ability to turn fragmented or manual work into durable mechanisms that teams adopt. 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: Build a system for mining production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes. Establish and maintain evaluations for the highest-priority multimodal behaviors and use cases, with clear coverage, quality standards, and ownership. Package production signals into decision-ready data and

About the team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the role We’re looking for a Product Marketing Manager, Advertising to bring together advertiser insights, market understanding, and product knowledge to shape positioning, inform product priorities, and deliver go-to-market initiatives that drive adoption and measurable business impact. You’ll work closely with Product, Engineering, Sales, and Partnerships to understand advertiser needs, translate complex AI capabilities into clear customer value, and bring new products and features to market. This role is ideal for someone who combines strategic thinking with hands-on execution, independently navigates ambiguity, and brings cross-functional partners together to deliver results. In this role you will: Define the product and marketing strategy for a component of OpenAI’s advertising business in partnership with cross-functional partners Develop a deep understanding of advertisers through customer research, market analysis, and competitive insights, identifying opportunities to improve positioning, adoption, and product-market fit. Own positioning and messaging for your product area, translating complex capabilities into compelling narratives for different advertiser audiences and use c

About the Team The GTM Strategy & Growth team drives the growth and evolution of our B2B business across products, customer segments, and routes to market. We partner closely with Product, Sales, Success, Data Science, Finance, and Marketing to define and execute go-to-market strategies for new product launches, commercialization models, customer growth initiatives, and market expansion opportunities. Our work sits at the intersection of product strategy, growth, and operations — shaping how we bring products to market, how we measure success, and how we scale adoption across customer segments. We operate across both strategic and highly operational domains, from defining long-term growth bets and commercial strategy to building launch plans, tracking performance, and driving cross-functional execution across the business. About the Role We’re looking for a strategic, hands-on individual contributor to join our GTM Strategy & Growth team and help shape how we grow and scale our B2B business across products, customer segments, and routes to market. This is a generalist role for someone who combines strong product intuition with thoughtful GTM strategy and can flex seamlessly between strategic thinking and operational execution. You’ll translate business priorities into clear growth strategies, operating plans, and cross-functional execution. Your work may span product launches, commercialization models, customer growth initiatives, market expansion, and the systems and processes that help the business scale. You should be highly analytical, comfortable working across a range of products and business problems, and experienced navigating complex cross-functional environments. Experience with technical or API-based products is valuable, but the most important qualities are strategic range, sound judgment, and the ability to turn customer, product, and market insights into practical recommendations and action. This role is based in San Francisco office, 4-5 times

About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are looking for an Audience & Content Growth Lead to build the global content and education programs that inspire, inform and engage SMB advertisers. This is a zero-to-one opportunity to shape how small businesses discover and understand advertising with OpenAI. You will turn customer needs, product capabilities and advertiser success stories into compelling content—from webinars and educational video series to case studies, industry-specific playbooks and creator-led programs. The role combines two areas of ownership: developing content specifically for SMB audiences and building effective ways to distribute it. You will lead programs directly while partnering with teams that own web, social, lifecycle marketing, growth and regional channels to reach the right audiences at scale. Success means building an engaged SMB audience and helping businesses move from awareness to understanding, confidence and action. In This Role, You Will Set the global SMB content strategy and editorial roadmap, grounded in customer needs, industry priorities, and advertiser maturity. Create compelling customer stories, case studies, vertical playbooks, guides, videos, and thought leadership that make advertising accessible and actionable. Launch repeatable education pro

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 New York. 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, or c

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,

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 Seattle. 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, or co

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we believe in a virtuous cycle where customer success fuels improved revenue performance . Our Account Manager role is a pivotal function of an updated pod structure that sits at the intersection of Customer Success, Sales, and Product. Focused squarely on securing and growing our existing revenue base. We are a passionate, upbeat, and highly motivated group committed to exceptional customer loyalty, support, and expansion. We are seeking an Account Manager to join our team and make a positive impact in the continued success and growth of our organization. In this critical role, you will be a driver of retention, adoption, and expansion. Strong leadership ensures positive relationships and alignment across Product, Marketing, and Sales, and Support. If you are passionate about building deep, strategic customer relationships and thrive in a quota-carrying environment, let's talk! What you'll do You will utilize your skills in customer success, renewals, and sales methodologies to exceed customer expectations and deliver value across multiple key performance indicators. Drive Revenue & Retention Pod Collaboration: In partnership with the Account Team, you will function as a secondary seller within a unified pod structure. This role is essential in supporting the Account Executive (Core Seller) through seamless cross-functional alignment and collaborative deal execution. You will review areas of opportunity (whitespace

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. About the Team The Embedded Insights team supports Plaid’s mission to build a world-class suite of intelligence products. We identify the best opportunities to use machine learning in Plaid products, prove out those opportunities, and collaborate with cross-functional partners to turn them into real-world production systems. About the Role As a Senior Machine Learning Engineer on Embedded Insights, you will help shape Plaid’s future by building machine learning-powered products and features. You will initially support the Plaid App, working on a 0-to-1 consumer-facing product and helping establish product-market fit for a new business line. You will work closely with product managers, data scientists, engineers, customers, and other machine learning engineers to translate ambiguous opportunities into effective ML systems that create measurable customer value. In supporting the Plaid App, you will: Build machine learning-based features for a 0-to-1 consumer-facing product. Partner with product managers to translate ambiguous business requirements into machine learning problems and influence product strategy and roadmap decisions. Rapidly iterate and experiment to help drive product

About the Team The Growth Platforms team builds the systems and operating foundations that help OpenAI grow responsibly. We partner across the product portfolio to connect customer signals, identity and consent, campaign workflows, measurement, and product experiences into an AI-enabled growth engine. Our work helps teams launch, learn, and scale with a high bar for data quality, privacy, reliability, and customer trust. About the Role We’re looking for an experienced marketing technology and operations leader to drive cross-functional work at the intersection of growth, measurement, data, and automation. Your mission will be to turn fragmented tools, signals, and workflows into reliable, measurable, AI-enabled capabilities that teams can use safely at scale. You’ll work across Growth, Marketing Operations, Product, Engineering, Data Engineering, Data Science, Security, Privacy, Legal, and Revenue Operations, as well as external advertising platforms, measurement providers, and implementation partners. You’ll translate business requirements and privacy constraints into data contracts, integration designs, rollout plans, and reliable first-party data systems. This is a hands-on, high-impact role for someone who brings structure to ambiguity and moves from event schemas, APIs, and data quality assurance to operating cadences, partner enablement, and executive updates. This role is based in San Francisco or New York City with a hybrid office expectation. In this role, you will: Own the operating model for Growth’s marketing technology stack across identity, consent, audiences, activation, measurement, and experimentation. Own and operate the complete paid-media tracking and measurement system, including website pixels, server-to-server conversion events, mobile measurement integrations, identity and consent controls, attribution methods, and timely signal delivery to advertising platforms. Design and implement event schemas, data mappings, APIs, and integrations; valid

About the Team OpenAI’s Forward Deployed Engineering team partners with leading semiconductor companies to deploy production-grade AI systems across the entire chip design lifecycle: design, verification, and physical design. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into systems that materially improve engineering workflows and accelerate innovation. Our work turns early, high-touch deployments into repeatable solution patterns, reference architectures, and evaluation practices that scale across the semiconductor ecosystem. About the Role We are seeking a highly skilled Physical Design Engineer to join our semiconductor-focused Forward Deployed Engineering team. This is a senior IC role that will begin with a strong emphasis on physical design expertise, technical judgment, advisory leverage, and customer credibility, with the expectation that the person will grow into a broader Forward Deployed Engineering role over time. In the near term, you will serve as the team’s physical design SME across semiconductor deployments: helping FDEs, Product, and Research understand backend implementation workflows, pressure-test AI-assisted solution ideas against real physical design constraints, and raise the quality of our customer-facing technical work. You will help the broader team build fluency in implementation flows, EDA tooling, signoff methodology, and the trade-offs that shape physical design decisions in practice. Over time, we expect this role to expand beyond SME support into broader FDE ownership: partnering directly with customers, shaping deployment strategy, building and iterating production-grade AI systems, driving technical workstreams, and helping turn high-touch semiconductor deployments into repeatable solutions. This is a strong fit for someone who brings deep physical design expertise today and is excited to grow into a customer-facing, syst

About the Team Enterprise Marketing helps the world’s largest organizations understand, adopt, and scale AI. Our Executive Engagement programs bring OpenAI’s products, research, and perspective into the room with senior leaders as they consider how intelligence can be put to work against their most important priorities. These engagements are more than briefings or events. At their best, they help a leadership team understand what is changing, distinguish what is possible now from what is still emerging, and leave with greater clarity about what to do next. About the Role We are looking for an Executive Programs Lead, Americas to build and lead the portfolio through which OpenAI engages its most important customers and executives across the region. You will own the regional strategy, team, and quality bar for Executive Briefings and a broader portfolio of C-suite engagements, recurring executive forums, advisory programs, and proven formats ready to scale. Your mandate is to turn high-stakes customer moments into a durable business capability, one that consistently advances important relationships while preserving the judgment and customization that exceptional executive experiences require. This is a senior people-leadership role for a builder who can set direction, make disciplined portfolio choices, and create the systems and team required to deliver at scale. You will partner closely with Sales, Product Marketing, Product, Research, Solutions, Customer Success, Events, and OpenAI executives, moving comfortably between long-term design and the critical details of a live engagement. This role is based in San Francisco. We use a hybrid model of three days in the office each week and offer relocation assistance. Given the customer-facing nature of the role, regular in-person participation in executive briefings and related preparation is expected and may require additional time onsite. Travel across the Americas and occasional global travel are also expected. In this

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT engineering org builds and operates the systems that bring product improvements to users across backend services, web, mobile, and desktop platforms. The Developer Velocity team partners with product engineering, platform, infrastructure, reliability, engineering acceleration, and observability teams to make everyday development faster and releases safer, more predictable, and easier to operate. About the Role We are seeking a Technical Program Manager to improve developer velocity and deployment excellence across ChatGPT. You will lead durable improvements to local development, CI, testing, build systems, release trains, progressive rollout, and post-deployment validation. You will identify the highest-leverage sources of engineering friction, align teams around shared standards and metrics, and drive adoption of tooling and workflows that improve both speed and reliability. This role combines systems thinking, technical program leadership, and hands-on operating rigor across a broad engineering surface. 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: Own the cross-functional roadmap for improving local development, CI, testing, build workflows, and release infrastructure. Create a durable intake and prioritization mechanism for developer friction, using evidence to focus teams on the highest-impact improvements. Lead programs that improve deployment speed and safety, including pre-merge confidence, progressive rollout, release guardrails, rollback readiness, and post-deploy valida

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT infrastructure team is responsible for ensuring that our products can serve rapidly growing demand with the performance, reliability, and quality our users expect. This work sits at the intersection of product demand, model deployment, inference, research, fleet, and capacity. The team translates changing product and model needs into clear capacity decisions and safe, scalable launches. About the Role We are seeking a Technical Program Manager to lead the operating system for Chat capacity and model deployment. You will connect demand forecasting and capacity allocation with model readiness, rollout planning, launch coordination, and post-deployment learning. You will also own mode deployment beyond capacity by working with cross functional teams across research, post-training, inference and product to own mainline model deployment. You will bring structure to constrained-capacity decisions, improve the tooling and mechanisms teams use to prioritize demand, and help new models reach users safely and efficiently. Success requires technical depth, sound judgment under ambiguity, and crisp execution across product, research, infrastructure, and operations teams. 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: Own cross-functional programs for Chat capacity forecasting, allocation, headroom planning, and constrained-capacity operations. Build durable intake, prioritization, and decision mechanisms that connect product demand and model requirements to available serving capacity. Partner

About the Team The Ona team at OpenAI is helping build the software factory for the enterprise. We build infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to make progress across the software lifecycle—beyond a single developer’s laptop or active session. Our focus is helping enterprises move from experimenting with agents to using them reliably in production. That means solving challenging problems in cloud environments, orchestration, security, and collaboration, while making the experience straightforward for the people directing and reviewing the work. We’re a team that values initiative, close relationships with customers, and exceptional engineering craft. We take ownership, learn quickly, and communicate directly and kindly. About the Role We’re hiring backend-focused Product Engineers across our platform and security product teams. You’ll build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel. You’ll work primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You’ll own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers. In this role, you will: Work directly with customers to build developer and security workflows, from getting a project running to investigating findings, reviewing agent-generated changes, and verifying fixes. Build Go services and APIs for provisioning cloud environments, running agents in customer infrastructure, and integrating with source control, CI, and other developer tools. Design reliable orchestration for long-running, parallel work, including durable state, retries, cancellation, and recovery. Build security into execution workflows through clear permissions, credential handling, is