Platform Manager in United States

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. Premier Support Engineers (PSEs) are primarily focused on assisting prospects and customers with any technical questions about Datadog. PSEs engage with Datadog’s Premier Customers via standard technical support channels, but are also involved with cadence calls, demos/presentations, conferences, and various side projects. You will work directly with Datadog’s Premier Customer base, and will be immersed in a fast-paced environment where you will be challenged, but will also immediately witness your contributions to Datadog and to our customers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Respond to client requests (phone / chat / tickets) on our fast paced team while continuing to educate our clients on the use of the platform Develop relationships with our Premier Customers, working hand-in-hand to truly know their distinct environment Reproduce issues and dive into the 600+ integrations that Datadog works with Build out documentation and knowledge based articles for a variety of technology Drive product conversations based on needs and problems learned during client interactions Participate in routine health check meetings with Premier Customers Work from a Datadog office 3 - 5 days per week Who You Are: Experienced in multi-channel technical support at a SaaS company (2+ years of related experience) A tinkerer with some programming experience and a basic knowledge of Linux Self-motivated, detail-attentive, and have a desire for continuous learning A critical thinker who defaults to a client-centric approach A decision maker but kno

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. Premier Support Engineers (PSEs) are primarily focused on assisting prospects and customers with any technical questions about Datadog. PSEs engage with Datadog’s Premier Customers via standard technical support channels, but are also involved with cadence calls, demos/presentations, conferences, and various side projects. You will work directly with Datadog’s Premier Customer base, and will be immersed in a fast-paced environment where you will be challenged, but will also immediately witness your contributions to Datadog and to our customers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Respond to client requests (phone / chat / tickets) on our fast paced team while continuing to educate our clients on the use of the platform Develop relationships with our Premier Customers, working hand-in-hand to truly know their distinct environment Reproduce issues and dive into the 600+ integrations that Datadog works with Build out documentation and knowledge based articles for a variety of technology Drive product conversations based on needs and problems learned during client interactions Participate in routine health check meetings with Premier Customers Work from a Datadog office 3 - 5 days per week Who You Are: Experienced in multi-channel technical support at a SaaS company (2+ years of related experience) A tinkerer with some programming experience and a basic knowledge of Linux Self-motivated, detail-attentive, and have a desire for continuous learning A critical thinker who defaults to a client-centric approach A decision

Datadog is entering a new chapter in how our product looks, feels and operates. We’re building a small, high-leverage Design Lab team to define that evolution, and we’re looking for a Staff Visual Designer to help author it. Our design system powers everything we ship. Now we’re ready to evolve it. As Datadog expands into AI-driven experiences and more complex product surfaces, the visual language needs to grow with it. We’re looking for someone who can help define that next phase, someone with taste, judgment, and the confidence to shape how the product feels at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Define and evolve Datadog’s visual language across product surfaces. Establish the visual quality bar for the platform. Lead exploratory and concept work that pushes our system forward. Translate bold visual ideas into scalable patterns that can live inside a design system. Partner deeply with Brand, Product Design, and Design Systems to unify expression across product and marketing. Influence executive stakeholders through clear, compelling visual storytelling. Prototype, test, and refine new patterns before they become systemized. Help shape how visual direction is integrated into our design process. You will report directly to the Design Director and work as part of a small, focused team defining the future state before it scales across hundreds of designers and engineers. Who You Are You have 10+ years of experience in visual and/or product design You have led a meaningful visual evolution or rebrand within a mature product ecosystem. You have strong taste and are comfortable defending a point of view. You know how to translate brand into scalable product systems. You think in systems, but you’re motivated by craft. Yo

Datadog is entering a new chapter in how our product looks, feels and operates. We're building a small, high-leverage Design Lab team to define that evolution, and we're looking for a Senior Staff Visual Designer to author it. Our design system powers everything we ship. Now we're ready to evolve it. As Datadog expands into AI-driven experiences and more complex product surfaces, the visual language needs to grow with it. This is the role that decides what that language is — someone with taste, judgment, and the confidence to set a direction and defend it. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Define and evolve Datadog’s visual language across product surfaces. Lead exploratory and concept work, creating a range of distinct visual directions for the next generation of the product. Synthesize product context, research, references, and stakeholder input into clear visual principles and a coherent point of view. Establish the quality bar for typography, color, composition, iconography, imagery, motion, and visual expression across the platform. Create high-fidelity product exemplars and prototypes that make an emerging direction tangible. Partner deeply with Brand, Product Design, Motion, and Design Systems to test and refine the direction across different surfaces. Influence executives and senior stakeholders through clear, persuasive visual storytelling. Guide and critique the work of other designers, helping the visual direction remain coherent as it evolves. Help shape how visual exploration, critique, and craft are integrated into Datadog’s design process. You will report directly to the Design Director and work as part of a small, focused team defining the future state before it scales across hundreds of designers and engineers. Who Yo

As a Mid-Market Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various teams to resolve customer concerns, escalate bug issues, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we’d love to meet you! At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Partner with the sales team to articulate the overall Datadog value proposition, vision and strategy to customers Continually learn new technology to build competitive knowledge, technical skill, and credibility Assist with technical discovery on key accounts and opportunities Deliver tailored product and technical presentations with potential clients Help clients evaluate the platform and assist when they run into roadblocks. Own technical engagement with customers during the trial phase. This entails communicating datadog’s value throughout an evaluation and working with customers on any identified issues or concerns to successful conclusion Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape Who You Are: Someone with a minimum of 1.5 years experience in a Sales Engineering role Previous Observability experience Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer Someone with strong written and oral communicati

We are seeking a Salesforce Engineer III to design, build, and support secure, scalable Salesforce solutions that support critical business operations. This is a senior individual contributor role requiring strong hands-on technical expertise, sound engineering judgment, and experience working in regulated environments. This position supports systems and data subject to FedRAMP and other U.S. government compliance requirements. Due to the nature of the work, U.S. citizenship is required. This role will be based remotely in the United States. What You’ll Do Design, build, and maintain Salesforce solutions across sales, service, customer, and operational workflows Implement functionality using Salesforce configuration, Flows, Apex, Lightning Web Components (LWC), SOQL, and platform automation Develop and support integrations between Salesforce and external enterprise systems Translate business requirements into secure, scalable, and maintainable technical solutions Participate in technical design reviews, sprint planning, code reviews, testing, deployments, and production support Troubleshoot and resolve issues related to automation, integrations, data integrity, and system performance Create and maintain technical documentation, support UAT and regression testing, and assist with user enablement Ensure all solutions comply with Salesforce best practices, internal security standards, and regulatory requirements Leverage AI-powered development tools to improve productivity and analysis, while adhering to security and compliance guidelines Responsibilities Technical Delivery: Own end-to-end delivery of Salesforce features using a mix of declarative and programmatic solutions Secure Engineering: Design and implement solutions that meet FedRAMP, security, and compliance requirements, including least-privilege access and auditability Integration Design: Build and maintain secure integrations between Salesforce and downstream systems Engineering Excellence: Maintain high st

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Passport & Commerce builds the trusted account and commerce foundation that lets anyone, anywhere, become part of the Airbnb community — from their first sign-up, through the profile and connections they build, to every booking and business transaction along the way. We're a newly formed org within Guest & Host that brings together identity, account, and commerce foundations under one roof. Our mission is to move Airbnb beyond the transaction — building a world where accounts create trust, value sticks, and what our community earns travels with them, and their businesses, wherever they go. You'll work closely with Payments and Wallet engineering, Identity & Privacy, Profile & Community, and Guest & Host product, design, and data science partners as we stand up this team's roadmap and technical foundations. The Difference You Will Make: As a Staff Software Engineer on the Passport team, you will be a key architect behind the next generation of our account platform, directly influencing how millions of guests and hosts experience Airbnb. You'll set technical direction for how account state, eligibility, and entitlements are computed, stored, and served at scale across every surface where a guest or host interacts with Airbnb. Success in this role looks like a Passport platform that is reliable and extensible enough to support new programs and partner integrations without re-architecture — measured through service reliability (uptime, latency, correctness of entitlement calculations), the speed at which new offerings can launch, and adoption of your platform by othe

About the Team The Strategic Finance team partners across OpenAI to turn company strategy into financial decisions, helping allocate resources and steer the business toward its highest-impact long-term outcomes. Within Strategic Finance, the B2B Product Finance team owns the financial perspective on growth across OpenAI’s B2B portfolio. We connect monetization and customer economics with compute demand, capacity, margin, and resource planning, partnering closely with Product, GTM, Strategic Deal Desk, Compute Finance, Capacity Planning, Data, Accounting, and other Finance teams. About the Role We are hiring a Strategic Finance leader for B2B Product to build the 0→1 financial foundations and decision-making frameworks that will help OpenAI scale its B2B business sustainably. You will own high-impact work across B2B monetization, compute demand modeling, enterprise deal economics, contribution margin, and more. This is a portfolio-wide individual contributor role spanning our API Platform and other B2B products. You will connect customer demand and commercial terms to revenue, compute consumption, and margin outcomes; influence some of our largest enterprise deals; and help leadership make sound growth investment, compute capacity, and resource allocation decisions. This role is based in San Francisco, CA. In this role, you will: Own an integrated view of B2B monetization and product economics across the API Platform and other B2B products – including pricing, packaging, channel and usage mix, discounts, credits, commitments, revenue, and customer profitability Build, maintain, and improve complex driver-based financial models that connect customer usage, product and model mix, pricing, discounting, credits, commitments, and contribution margin Build financial views for B2B compute demand and margin planning; identify risks and opportunities, explain key drivers, and recommend capacity and resourcing decisions that improve portfolio economics Evaluate some of OpenAI’

About the Team OpenAI’s Network Engineering team within IT and Security advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient network services. We build and operate the connectivity that supports OpenAI’s offices, labs, campuses, cloud environments, people, and devices. By combining strong network fundamentals with security, reliability, automation, and user-centered design, we enable impactful AI research, corporate operations, and product innovation. About the Role As a Network Engineer at OpenAI, you will design, operate, and continuously improve the global networks that connect our offices, labs, campuses, PoPs, cloud environments, people, and devices. The role spans strategic platform engineering and responsive production operations: you will shape architecture, standards, roadmaps, lifecycle plans, and automation while supporting incidents, escalations, and time-sensitive delivery. Operational signals will inform what we stabilize, simplify, standardize, or automate next. We work backward from user needs, investigate root causes, own outcomes end-to-end, and move quickly without compromising security. We are looking for a versatile engineer who can make pragmatic reliability and security tradeoffs, communicate clearly, and turn recurring operational work into durable platforms, tooling, and standards. You will partner across IT, Security, AppEng, Research, Applied, workplace teams, carriers, and vendors. In this role, you will: Design, implement, and operate secure, scalable enterprise networks across offices, labs, campuses, PoPs, cloud connectivity, and hybrid environments. Set strategic direction for network services through architecture, standards, roadmaps, lifecycle planning, capacity strategy, and measurable reliability outcomes. Own production operations, including on-call, incident response, escalations, and time-sensitive delivery, while protecting user experience,

About the Team We're building the foundation for a new kind of AI coworker: persistent agents that have their own environments, can meet people wherever they work, and continue making progress for as long as a task requires. Our goal is to help individuals, teams, and organizations delegate meaningful work to AI—not just ask questions or complete a single turn. Our work brings together product, agent, and infrastructure capabilities across OpenAI. Together, we are creating always-on virtual coworkers that can carry context across tasks, operate through the right tools and channels, and deliver reliable results in real workplace environments. About the Role We’re looking for a full stack product engineer to shape how people discover, direct, and collaborate with AI coworkers. You’ll own product experiences end to end, spending roughly equal time building intuitive frontend surfaces and the backend systems that make agentic workflows persistent, reliable, and useful. You’ll work at the intersection of product engineering, design, agent capabilities, and enterprise readiness—turning rapidly evolving model and platform capabilities into experiences customers can understand, trust, and use every day. In this role, you will: Design, build, and ship full stack product experiences that help people and teams delegate meaningful work to persistent AI coworkers. Create intuitive frontend interfaces for directing agents, reviewing their progress, understanding their actions, and collaborating on the work they produce. Build backend APIs, services, and data models that support persistent agent state, asynchronous execution, orchestration, and progress reporting. Develop workflows that help agents access relevant context, use tools, and collaborate with people across workplace surfaces and channels. Partner with product, design, research, and engineering teams to turn shared capabilities into cohesive products. Build trust into the product through clear user controls, understanda

About the team The Agent Enablement AI Deployment Engineering (ADE) team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly. About the role We are looking for an AI Deployment Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations. You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based in San Francisco, CA. We use a hybrid work model of 3 days

About the Team The Pricing & Monetization team is responsible for how our products create and capture value. We partner closely with Product, Engineering, Data Science, GTM, and Finance to design pricing models, packaging, and commercial strategies that support adoption, growth, and long-term scaling of the business. To thrive in this team, you need to be a proactive problem-solver who excels at bringing structure to ambiguous challenges. Our work demands strategic thinking, cross-functional collaboration, and precision in execution. Team members succeed when they are analytical, detail-oriented, skilled at balancing multiple priorities, and passionate about driving high-stakes projects forward to deliver meaningful results. About the Role We are looking for a Pricing Strategist to shape how we price and monetize OpenAI’s API platform. You’ll own the end-to-end pricing strategy across model launches, price architecture, packaging, commitments and discounts, and monetization guardrails. You’ll work closely with senior leaders across Product, Engineering, Data Science, GTM, and Finance to define pricing approaches, improve commercial decision-making, and bring more rigor to how we monetize our API offerings. You should be comfortable building monetization frameworks and commercial policies, analyzing tradeoffs, supporting high-impact decisions and driving decision making. You should also care deeply about the customer perspective and believe that strong pricing reflects a real understanding of customer value, needs, and friction points in order to build pricing that is clear, fair, and aligned with how customers experience our products. This role will report to the Head of Product Pricing for API & Platform. What you’ll do Develop the end-to-end pricing strategy for our API platform, including model launch pricing, price architecture, packaging, discount logic, and monetization guardrails. Recommend pricing for new models, capabilities, and platform offerings,

About the team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. The Ecosystem team builds and scales third-party integrations around ChatGPT and Codex. We work across product, engineering, partnerships, safety, legal, policy, and go-to-market to create integrations that are useful, trustworthy, and technically sound. About the role We’re looking for an Applied Deployment Engineer to help build and deepen ChatGPT integrations with third-party messaging platforms. The initial focus will be on partner work as well as future opportunities with other messaging apps around the world. This is a hands-on, partner-facing engineering role. You’ll work closely with external product and engineering teams to improve existing integrations, expand capabilities such as image generation, increase retention, and translate partner needs back into OpenAI’s product and engineering roadmap. You should be comfortable writing code daily, making changes across platform or monorepo surfaces when needed, and moving fluidly between technical discovery, product tradeoffs, prototyping, debugging, and executive-level communication. This role is best suited for a strong product-minded engineer with excellent communication skills, sound technical judgment, and the ability to work across cultures, time zones, and organizations. This role is based in our San Francisco office. 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: Partner with messenger app product and engineering teams to design ChatGPT-powered experiences that fit naturally into chat, group, contact, and app-tab surfaces. Deepen existing partner integrations, with an initial focus on improving user ex

About the Team The ChatGPT organization at OpenAI supports our mission by bringing advanced AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent breakthroughs in multimodal AI have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering. We're building the systems and experiences that turn these research advances into products used daily by creators, professionals, businesses, and consumers around the world. Our team sits at the intersection of research, product, design, and infrastructure. We work closely with model researchers, mobile engineers, frontend engineers, and platform teams to build intuitive experiences and scalable systems that power image generation at global scale. Whether users are creating marketing assets, visualizing ideas, editing photos, designing products, or simply exploring their creativity, our goal is to make visual creation feel as natural as having a conversation. About the Role We are looking for an experienced Full Stack Engineer to join the Image Generation team and help shape the future of AI-powered visual creation. In this role, you'll own features end-to-end across both frontend and backend systems, building the experiences that enable users to generate, edit, organize, and interact with images inside ChatGPT. You'll work across the entire stack—from highly interactive user interfaces and real-time workflows to backend services, APIs, orchestration systems, and data infrastructure. This role is ideal for engineers who enjoy moving fluidly between product development and systems engineering, collaborating closely with design, product, and research teams to rapidly bring new AI capabilities to users. You'll help define entirely new interaction paradigms as multimodal AI continues to evolve. In