Customer Experience Agent Jobs

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Engineering Manager on the Core Automation team within the Platform group, you'll lead the engineering organization building Agentic AI systems that are transforming how Coinbase operates. This team is reimagining compliance and customer support processes for a fully AI-driven world, designing intelligent agents, orchestration frameworks, and guardrail systems that improve compliance posture and customer experience at scale. You'll build and grow multiple engineering teams, set the technical direction for production AI systems, and partner with Compliance and Operations leadership to deliver automation that creates measurable business impact. What you’ll do: Build, hire, and grow a high-performing engineering organization, coaching managers and senior engineers on technical leadership, career development, and AI-first engineering practices Set the technical vision and multi-quarter roadmap for Core Automation's Agentic AI systems, partnering with Compliance, Operations, and Product leadership to prioritize the highest-impact automation opportunities Drive architecture and delivery of production LLM-based systems with rigorous guardrails, grounding, and measurement, ensuring AI agents are reliable, auditable, and compliant Lead multiple parallel engineering initiatives across compliance automation domains, maintaining high delivery velocity while ensuring

Careem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires. Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan. We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster. About The Role: Careem’s design system underpins every product experience across the super app, including rides, food, groceries, payments and beyond. We’re looking for a Design System Lead to own its evolution through its next chapter: one where the system serves not only designers and engineers, but AI agents that consume, generate and assemble design.This is a hands-on senior IC role for someone who is both a rigorous systems designer and a capable AI tool-builder. You’ll govern the token architecture, component library and documentation that keep a multi-vertical platform coherent, and you’ll use AI to make the system faster to maintain, easier to adopt and smarter to build with. What You’ll Do Own the Design System Own the lifecycle of Design System’s tokens, components, and patterns: from inception through shipping, iteration, and deprecation. Define and enforce standards for color, type, spacing, and interaction across platforms (iOS, Android, web) and locales, including RTL/Arabic. Resolve ambiguity regarding organizational ownership and responsibilities by mai

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Senior Solutions Engineer who has a passion for solving complex challenges. In this role, you will partner directly with Sales to provide technical leadership throughout the sales process, navigating intricate deal cycles, providing value-based demonstrations, and serving as a trusted advisor to prospects and clients throughout their evaluations. You will be a force multiplier within the Solutions Engineering organization that is on a mission to grow revenue and to empower anyone to drive meaningful change — for themselves, their businesses, and the world. This role is part of the Worldwide Field Operations Commercial Solutions Engineering team and can be based remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Identify, build, and demonstrate innovative solutions to solve complex business challenges for high visibility Smartsheet customers Lead technical sales engagements, collaborate closely with sales teams to identify customer requirements, summarize challenges, design solutions, and provide technical guidance that demonstrates the value of Smartsheet's offerings Conduct discovery sessions to uncover business processes and challenges to inform the sales and solution delivery strategy Establish yourself as a strategic partner to Sales, Product, Customer Success, and Professional Services to provide a great overall customer experience and drive revenue growth Proactively grow and maintain deep knowledge for all Smartsheet products, services, and compe

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions. This role is ideal for someone who is technically versatile, energized by variety, and wants to see th

WordPress VIP is the world’s leading enterprise content management platform. We help the world’s largest companies—including Meta, Salesforce, and Disney—create innovative digital experiences with WordPress. We are hiring a Director of Professional Services to run our Professional Services delivery organization. You will own the day-to-day operation of a team that handles migrations, implementations, and custom engagements for some of the most complex enterprise WordPress deployments in the world. The role reports to the VP of Customer Experience (CX) as part of the CX Senior Leadership Team. You’re walking into a team with real delivery capability and an established customer base. The work now is sharper: a tighter service menu, faster time-to-value, a delivery model that can flex to what enterprise customers actually need—and an organization that increasingly runs on AI. Professional Services at WordPress VIP is a revenue-generating business. The person in this seat owns that commercial result, not just the delivery quality behind it. Responsibilities Build an agentic Professional Services organization—one where AI augments delivery, accelerates time-to-value, and creates capacity for higher-complexity work. Build Professional Services into a growth lever: identify expansion opportunities within active engagements, and partner with Account Management and Sales to turn delivery relationships into commercial ones. Lead a Professional Services team of engineers and delivery managers, delivering migrations, implementations, and custom engagements for enterprise customers. Own delivery quality end-to-end: project health, escalation management, customer outcomes, and on-time, on-scope execution. Build and maintain a clear menu of established service offerings, so Sales can sell them, customers can buy them, and the team can deliver them consistently. Meet customers where they are. Not every engagement fits a playbook, and this role requires the judgment to scope and run

We’re hiring engineers. Not ticket-takers. At Anyfin, we’re building financial infrastructure and products used by millions of people across Europe with a deliberately small engineering organisation. That means we care a lot about who we hire. What the role actually looks like This is not a place where engineering sits separately from the business. Small cross-functional teams own their work end-to-end, from identifying problems and shaping solutions to shipping and operating them in production. Engineers here work closely with product, data and commercial teams to solve real-world problems across: Payments Credit decisioning Customer experience Operational tooling Internal AI systems Scaling infrastructure across markets There’s very little ticket-pushing and very few handoffs. We value people who can think independently, make sound tradeoffs and move things forward without unnecessary complexity. Tech TypeScript React / React Native Node.js Python Go GraphQL PostgreSQL BigQuery Kubernetes GCP We also use AI heavily in day-to-day engineering work and product development. AI and machine learning have been part of Anyfin since the beginning, originally through credit assessment models, and increasingly across operations, tooling and product experiences. Today we work with multiple frontier models, build internal AI tooling and agent infrastructure, and are investing heavily in AI-powered financial experiences. Why engineers join Because they want: Real ownership Smart colleagues Modern tooling Complex systems without legacy bank infrastructure Fast decision-making High standards without unnecessary bureaucracy We’re intentionally not building a huge engineering organisation. We’d rather have fewer strong engineers with high trust, high expectations and meaningful impact. About Anyfin Anyfin is a European fintech company helping people improve their financial well-being. We currently operate across multiple European markets and continue to expand rapidly, with ambitio

About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the role We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you will: Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer

About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require fluency in French for this role. About the role We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. In this role, you will: Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. Prototype and iterate on prompts, agents, and workflow designs to better unde

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team We are a brand new team, working quickly to accelerate Stripes engineering productivity by effectively deploying LLM agents and tools to automate large swaths of the engineering workflow. We’re a cross-continent team, spanning North America and Europe - filled with high agency engineers with strong product perspectives. Some examples of what we work on: here and here . What you’ll do You will build the next generation of internal AI coding tools and platforms, to massively accelerate Stripe’s engineering productivity safely and with a clear focus on our users’ needs. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements We’re looking for someone who has: Strong software engineering skills and ability to write high quality code at high velocity 2-5 years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms Hands on experience building tools or platforms used by other engineers or internal users Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome Have t

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Staff Software Engineer on the Core Automation team within Platform , you'll architect and build the Agentic AI systems that are reimagining how Coinbase delivers customer support and manages compliance at scale. This team is focused on automating high-volume operational processes with AI, then building the primitives and orchestration platform that let every domain at Coinbase leverage those capabilities. You'll own the technical vision for production AI systems that directly improve customer experience, strengthen compliance posture, and drive outsized efficiency gains. What you'll do: Own the design and implementation of Agentic AI systems powering Coinbase's customer support and compliance automation Architect a reusable platform of primitives, orchestration tools, and interfaces that enable other teams to adopt Agentic AI for their domains Drive cross-functional alignment with product, compliance, and operations stakeholders to translate business needs into scalable technical solutions Lead technical strategy for getting LLM-based applications from prototype to production, including grounding, hallucination reduction, and reliability at scale Mentor engineers across the team on system design, coding standards, and AI/ML best practices Required Skills and Experience: 12+ years of backend software engineering experience, with deep proficiency in Golang

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the team The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify needs for integration with existing enterprise systems and services, workflow and process automation, or customization of the DevRev platform to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals. Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development and AI/ML skills to ensure our customers get the most out of the DevRev platform. About the role As a Forward Deployed Engineer at DevRev, you will work closely with our post-sales Customer Experience team to help customers unlock value through AI. You will design and deploy intelligent agents, automated workflows, and integrations that transform how customers operate — connecting DevRev to their broader ecosystem and putting AI to work across

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Manager, Support Tooling and Infrastructure Adyen’s Customer Support team operates globally with 200+ Support Engineers across ten regions. To deliver exceptional support at scale, we rely on a modern technology landscape that empowers our teams and enhances the customer experience. As the Customer Support Infrastructure Manager (Support Infrastructure Team Lead), you will lead the team responsible for designing, building, and evolving systems powering Customer Support. Beyond Salesforce Service Cloud, your team will own telephony, messaging, workforce management, and quality assurance tooling. You will also collaborate with the Head of AI Support Product to integrate AI capabilities, including FIN (our AI Support agent), into our tech stack. Leading Business Analysts, Salesforce Administrators, Developers, and Architects, you will foster technical excellence, define the Support technology roadmap, and deliver scalable solutions for stakeholders across Adyen. What You'll Do Lead, mentor, and develop a multidisciplinary team of Salesforce Developers, Administrators, Architects, and Business Analysts. Optimize planning, release practices, and cross-functional collaboration to boost delivery speed, quality, and predictability. Define and execute the Customer Support technology strategy, including Service Cloud alongside other tools suc

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Manager, Salesforce Integration Adyen’s Customer Support team operates globally with 200+ Support Engineers across ten regions. To deliver exceptional support at scale, we rely on a modern technology landscape that empowers our teams and enhances the customer experience. As the Salesforce Integration Manager (Support Infrastructure Team Lead), you will lead the team responsible for designing, building, and evolving systems powering Customer Support. Beyond Salesforce Service Cloud, your team will own telephony, messaging, workforce management, and quality assurance tooling. You will also collaborate with the Head of AI Support Product to integrate AI capabilities, including FIN (our AI Support agent), into our tech stack. Leading Business Analysts, Salesforce Administrators, Developers, and Architects, you will foster technical excellence, define the Support technology roadmap, and deliver scalable solutions for stakeholders across Adyen. What You'll Do Lead, mentor, and develop a multidisciplinary team of Salesforce Developers, Administrators, Architects, and Business Analysts. Optimize planning, release practices, and cross-functional collaboration to boost delivery speed, quality, and predictability. Define and execute the Customer Support technology strategy, including Service Cloud alongside other tools such as QA, WFM, and tel

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Manager, Service Cloud Adyen’s Customer Support team operates globally with 200+ Support Engineers across ten regions. To deliver exceptional support at scale, we rely on a modern technology landscape that empowers our teams and enhances the customer experience. As the Service Cloud Manager (Support Infrastructure Team Lead), you will lead the team responsible for designing, building, and evolving systems powering Customer Support. Beyond Salesforce Service Cloud, your team will own telephony, messaging, workforce management, and quality assurance tooling. You will also collaborate with the Head of AI Support Product to integrate AI capabilities, including FIN (our AI Support agent), into our tech stack. Leading Business Analysts, Salesforce Administrators, Developers, and Architects, you will foster technical excellence, define the Support technology roadmap, and deliver scalable solutions for stakeholders across Adyen. What You'll Do Lead, mentor, and develop a multidisciplinary team of Salesforce Developers, Administrators, Architects, and Business Analysts. Optimize planning, release practices, and cross-functional collaboration to boost delivery speed, quality, and predictability. Define and execute the Customer Support technology strategy, including Service Cloud alongside other tools such as QA, WFM, and telephony platforms.&

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. In this role, you will design, build, and deploy AI-powered systems that accelerate AI adoption across CLEAR’s internal workflows and customer-facing product experiences. This role will partner directly with Product, Engineering, Data, Security, Legal, Compliance, Operations, and business teams to identify high-impact AI opportunities, rapidly prototype solutions, and productionize reliable, secure, and measurable AI systems. You will own use cases end-to-end, from discovery and evaluation through launch, monitoring, and iteration. What you'll do: Discover, prioritize, and build AI use cases across internal tools, employee workflows, and customer-facing product features Partner with Product, Engineering, Data, Security, Legal, Compliance, and Operations to translate business needs into AI-driven solutions Rapidly prototype AI agents, LLM applications, RAG workflows, automation tools, and product experiences Productionize validated AI use cases with strong evaluation, monitoring, logging, fallback paths, and operational ownership Build reusable patterns for prompt management, retrieval, tool use, evals, guardrails, and human-in-the-loop workflows Implement responsible AI best practices, including privacy, security, model governance, risk review, and customer impact assessment Measure and communicate AI impact across adoption, quality, cost reduction, productivity, customer experience, and business outcomes How you’ll measure success: Number of high-impact internal and customer-facing AI use cases launched Adoption and measurable business