Customer Experience Manager in United States

Datadog's Technical Solutions (TS) organization is one of the largest organizations in the company — spanning Sales Engineers, Technical Account Managers, Enterprise Customer Success Managers, Technical Support Engineers, and Solutions Architects who work with prospects and customers across every stage of their journey with Datadog. Technical Solutions Operations (TSO) exists to make that organization faster, smarter, and more scalable. We build the systems, analytics & programs that give TS teams more leverage — and we measure our success by the business outcomes we drive, not the projects we complete. The programs this team runs touch every function in TS, and the operating model you build will define how that scales. We're looking for a Director of Technical Program Management to lead the TSO Program Management team. This role sits at the intersection of strategy and execution: you'll own the programs that shape how TS operates at scale, lead a team of technical program managers, and serve as a peer to the Directors and VPs who run the teams you support. Your counterparts are leaders overseeing hundreds of customer-facing technical professionals, and your role is to successfully interface with each organization with proactive solutions on how your team can help them be more effective. This is a rare opportunity to lead a function where the output isn't a deliverable, it's organizational capability. If you want to build something that compounds across an entire organization, this is the role. 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 Run the PMO as a business impact function. Own the PMO operating model end-to-end, including intake, prioritization, scoping, execution, and impact measurement — with every program directly linked to measurable bu

Datadog's Forward Deployed Engineering function is in an active growth phase, and the FDE Lead will play a central role in shaping what comes next. Working in close partnership with the Head of Datadog for Startups and Forward Deployed Engineers, and the existing FDE team, you will help define and expand the FDE framework, build out the structures and processes that allow the team to operate at scale, and extend the program's reach well beyond any single customer segment. This role sits at the rare intersection of sales, execution, program design, and hands-on engineering leadership. You are part field technical leader, part program architect, and part cross-functional connector. You will help determine what the FDE motion looks like at Datadog, contribute to its playbook, and push the boundaries of what the team can deliver. 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: Evolve and scale the FDE operating model end to end: engagement intake, scoping, sprint delivery, handoff back to account teams, and the success metrics (time-to-value, adoption lift, ARR influence, NPS) and reporting infrastructure that support them. Build out a catalog of FDE offerings spanning observability quickstarts, custom integration development, LLM/AI observability accelerators, CI/CD pipeline instrumentation, and cost optimization deep dives, and contribute to their pricing and business models, including free-to-paid conversion plays, paid deployment packages, and post-deployment success motions. Capture product and feature gaps uncovered during deployments, translate them into structured prioritized briefs, and partner with PM and Engineering to strengthen the field-feedback channel that informs roadmap decisions on a regular cadence. Hire, onboard, an

MongoDB Atlas is the premier multi-cloud database-as-a-service built and operated by the makers of MongoDB. The Cloud Operations Engineering team at MongoDB is a worldwide team responsible for the consistent operational success of every MongoDB Atlas customer. As a Cloud Operations Engineer, you will help ensure the success of our Atlas customers, whether they are early startups or large multinational companies, cloud-native or just getting started with a digital transformation to the cloud. You are excited about the core mission of MongoDB, and the opportunity to join the team responsible for operating Atlas, the fastest-growing multi-cloud database-as-a-service in the world. You are prepared to be one of the founding members of a 24/7/365 global cloud operations team. Cloud Operations Engineers will be responsible for day-to-day duties such as creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. FedRamp engineers are specifically tasked with supporting our government customers in our FedRamp Atlas environment. This includes SLED (State and Local Government and Education), various federal agencies, and other customers that leverage FedRamp. At MongoDB you will grow your career and skills, wear multiple hats, and be part of an operations team that works at the frontier of Cloud services and database systems. This role will be based remotely in Colorado. Responsibilities Successfully coordinate with a global team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our Atlas customer base Help scale the worldwide Cloud Operations Engineering team with the strategic implementation of new processes and to

About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based New York City. 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 the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurab

About the Team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the Role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. 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 the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and mea

About the Team GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness. We apply OpenAI models to real business workflows and build the systems that make those applications useful and dependable: customer context, agent behavior, feedback, evaluation, experimentation, and appropriate human oversight. Our work brings together software engineering, applied AI, product, data, and GTM operations. We measure success through the quality of customer engagement, pipeline, conversion, and the effectiveness of our sales and marketing teams. About the Role We're looking for an Applied AI Engineer to build production systems that help AI-powered go-to-market workflows improve over time. You will connect agent behavior, customer and operator feedback, evaluation, experimentation, and business outcomes to make these systems more effective, reliable, and responsive to evolving customer needs. This is a deeply technical, cross-functional role with end-to-end ownership of the agent improvement loop: understand production behavior, identify failure modes, improve how the system decides or acts, and validate the resulting impact. You will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to turn real-world signals into safer, more effective agent behavior and measurable improvements in customer engagement, conversion, qualified pipeline, and team productivity. In this role, you will: Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes. Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context. Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows. Investigate why a

About the Team The Consumer Product Marketing team helps people understand how ChatGPT can fit into their lives. We connect customer insight with product strategy and development, working across disciplines to bring meaningful products to people around the world. Our consumer subscriptions work focuses on showing people what they get with a paid ChatGPT plan and helping them decide when upgrading makes sense. About the Role As the Product Marketing Lead, Consumer Subscriptions, you will lead the product marketing strategy for ChatGPT's consumer subscription portfolio, including Go, Plus, and Pro. You will shape how customers discover and adopt paid plans while bringing a clear customer perspective to product and business decisions about how those plans are designed and tiered. You will partner closely with Product, Pricing, and Growth to define each plan's audience, positioning, value proposition, and priority use cases, and bring evidence-backed recommendations to pricing and packaging discussions. You will be accountable for driving paid-plan adoption and will lead work across product launches, plan education, premium positioning, and the customer story on pricing and plan pages across ChatGPT.com and OpenAI.com . This role calls for an individual contributor who can turn customer, market, competitive, and behavioral insights into clear subscription strategies and customer stories. You will guide senior stakeholders through tradeoffs, align partners without formal authority, adapt positioning for global markets, build scalable frameworks, and mentor peers. Success in this role means helping more free users recognize the value of ChatGPT's paid plans and turning that understanding into measurable growth in free-to-paid conversion. 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 consumer subscription product marketing across ChatGPT's p

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a B2B Paid Marketing leader to own and scale global acquisition across channels, including Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. This leader will define channel strategy across self-serve and sales-assisted journeys, develop programs for distinct business segments, and own measurable impact from demand creation through customer growth. You will partner closely with Sales, GTM, product marketing, lifecycle, product, engineering, data science, finance, design, and marketing operations to connect paid campaigns to the right buying journeys. This team thrives on rapid iteration, rigorous measurement, and close feedback loops that improve lead and account quality, conversion, pipeline, and long-term customer value. In this role, you will: Own global paid channel strategy across Paid Search, Paid Social, Programmatic, Affiliate, and other channels for B2B audiences, including planning, forecasting, budget pacing, audience design, and performance management. Build and optimize programs across self-serve, product-led, and sales-assisted motions, adapting channel strategy to segment, use case, buyer, and funnel stage. Partner with Sales and GTM teams to align campaigns with revenue priorities, product launches, solution plays, account segments, and regional opportunities. Optimize full-funnel performance from demand capture and qualified leads through activation, pipeline, conversion, expansion, and long-term customer value. Develop B2B audience, offer, and messaging strategies for decision-mak

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineeriIng teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC 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 directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteri

About the team Special Situations at OpenAI is the company’s commercial engine for its most complex and consequential opportunities. The team operates where new verticals, partnership models, and customer motions must be invented, before a repeatable GTM or delivery playbook exists, by bringing together product, research, engineering, and GTM leaders around a single outcome. Many of these efforts begin as “new bets” (new verticals, new customer motions, new partnership models) and mature into repeatable ways of working that shape how OpenAI operates at scale. The team acts as a force-multiplier for the company by accelerating decision-making, aligning stakeholders, and converting complex opportunities into durable results. About the role We’re hiring a Deal Lead, Special Situations to help stand up new vertical bets, with a particular focus on partnership development in the semiconductor industry. You will identify where AI can create step-change value for semiconductor companies and ecosystem partners, originate and shape multi-project programs with FDEs and applied researchers, package them into compelling commercial proposals, and execute creative, complex partnerships while keeping executives and cross-functional teams tightly aligned. This role is especially focused on building strategic partnerships in semiconductors. You do not need to be a technical engineer, but you do need to be able to speak the language of the semiconductor industry, build credibility quickly with technical and business stakeholders, and come up the learning curve fast on industry dynamics, workflows, and constraints. A key part of the role is crafting deals with semiconductor companies that demonstrate our unique competitive advantages. To do this effectively, you will need to develop a strong point of view on the market, understand the competitive landscape, and clearly articulate OpenAI’s differentiated value and strategic advantage. Special Situations owns the overall success of each

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 Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. What You'll Achieve Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for you

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 Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. What You'll Achieve Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for you

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We are seeking a passionate and highly driven individual to join the Deal Operations team at Postman. The Deal Operations Analyst role reports into the Head of Deal Operations which also reports into Revenue Operations. This role will work collaboratively with the sales, Finance, Legal, Renewals and Orders teams in the deal cycle; quote creation, approvals, order form creation, opportunity maintenance and bookings to comply with Postman policies and processes. The Revenue Operations team is integral to the success of the Sales and Customer Success organizations by helping to drive revenue, renewals and the productivity of the sales and customer success teams. What You’ll Do Create Quotes and Order Forms for sales deals Review Quote approval requests and approve qualified Quotes Process bookings review of customer orders. Assist in the complete order cycle, ensure quality and efficiency through the entire process Support of internal and external customers in regard to order booking and order tracking Address escalation for exception handling regarding booking requests Research discrepancies regarding ARR

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cloud Partner Solutions Engineering team's mission is to support co-sell objectives with Cloud Service Provider (CSP) partners by driving customer success through use case wins and go-lives, product integration launches, field enablement, and joint marketing campaigns and initiatives. As a Cloud Partner Solutions Engineer, you will own one or more hyperscaler partnerships end-to-end — combining deep technical credibility with the business acumen and program management skills to translate that technical work into measurable partner and customer outcomes. This is not a purely technical role and not a purely functional one: success requires you to be equally comfortable architecting a cross-cloud Iceberg solution with a partner SA team and leading a joint executive business review with cloud partner and Snowflake field leadership. KEY RESPONSIBILITIES: Partner Strategy & GTM Program Ownership • Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives. • Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value. • Deve

We are seeking a skilled and adaptable Field Applications Engineer to act as a key technical liaison between internal teams and our venue partners. In this role, you will support the deployment, integration, and performance of Topgolf’s custom hardware and electronics products, working closely with our hardware and software engineering teams, product management, quality engineering, and customer support. You will also collaborate directly with venue operations and customer engineering teams to ensure our systems are seamlessly installed, calibrated, and supported in the field. This position also includes generating quick-turn engineering drawings, CAD models, and specifications to help streamline deployment activities and reduce load on core engineering teams—contributing both field insight and technical documentation agility. The ideal candidate thrives in fast-paced, cross-functional environments and is passionate about solving real-world engineering challenges in live venue settings. Job Responsibilities Collaborate with hardware and software engineering teams to ensure successful design validation and deployment of custom hardware solutions at Topgolf venues. Act as a critical conduit between product management, quality engineering, and customer support to integrate field feedback into ongoing product improvements. Partner directly with venue operations and customer engineering teams to install, configure, test, and troubleshoot hardware and system integrations on-site. Support the end-to-end rollout process—from pilot validation to full-scale venue deployment—while maintaining quality and performance expectations. Investigate and resolve system-level issues in field deployments, identifying root causes and working with engineering to develop permanent solutions. Document best practices, common field issues, and integration workflows to improve future deployments and knowledge sh