Customer Performance Lead Jobs

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, Washington D.C., London and Amsterdam. Plaid is looking for an experienced customer-facing professional to manage and grow Plaid’s relationships with a large portfolio of smaller, high-potential companies. In this role, you will focus on managing a broad, multi-vertical portfolio of approximately 50-100 mid-to-large size accounts with high potential for revenue growth You will be the primary point of contact for your customers and will work with them on all stages of their integration to ensure they can successfully launch and grow. You will be responsible for working directly with key stakeholders ranging from developers to product leaders to help customers create the applications that will empower businesses and consumers with their financial data. You will be tasked with leveraging your understanding of the customers’ business to identify and pursue new revenue opportunities independently. The right candidate is able to dynamically evaluate and prioritize customer needs in order to maximize impact across such a large book of business. You will need to develop an understanding of customer priorities, motives and key drivers, and demonstrate success in owning and growing strong, long-lasting customer relationships Responsibilities: Own

We are looking for a deeply technical, customer-facing Forward Deployed Engineer to help product development organizations deploy Command - a new offering from Asana. As we incubate new motions and capabilities on Command, we need engineers who can work directly with customers, move quickly from insight to implementation, and bring real-world learning back into the product. This role is based in our San Francisco or New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Collaborate with Engineering leaders, platform teams, administrators, and hands-on builders to connect Command to the systems where work already happens Establish the technical and operational foundations for adoption and help teams develop more effective ways of planning, building, shipping, and learning Move between cloud infrastructure, integrations, workflow design, automation, product enablement, and engineering coaching Work directly in customer environments — configuring secure access to source-control, CI/CD, ticketing, and identity systems, or pairing with engineering teams to design release workflows and help leaders clarify the context their agents and teams need to make good decisions Write production-quality code when needed and turn customer-specific solutions into reusable product capabilities Leave customers with more than a working deployment — leave them with a stronger system for building software About you 6+ years of experience in software engineering, forward deployed engineering, customer engineering, solutions engineering, implementation engineering, or a similar technical customer-facing role Strong coding and systems-thi

We are looking for a deeply technical, customer-facing Forward Deployed Engineer to help product development organizations deploy Command - a new offering from Asana. As we incubate new motions and capabilities on Command, we need engineers who can work directly with customers, move quickly from insight to implementation, and bring real-world learning back into the product. This role is based in our San Francisco or New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Collaborate with Engineering leaders, platform teams, administrators, and hands-on builders to connect Command to the systems where work already happens Establish the technical and operational foundations for adoption and help teams develop more effective ways of planning, building, shipping, and learning Move between cloud infrastructure, integrations, workflow design, automation, product enablement, and engineering coaching Work directly in customer environments — configuring secure access to source-control, CI/CD, ticketing, and identity systems, or pairing with engineering teams to design release workflows and help leaders clarify the context their agents and teams need to make good decisions Write production-quality code when needed and turn customer-specific solutions into reusable product capabilities Leave customers with more than a working deployment — leave them with a stronger system for building software About you 6+ years of experience in software engineering, forward deployed engineering, customer engineering, solutions engineering, implementation engineering, or a similar technical customer-facing role Strong coding and systems-thi

As a Senior Solutions Architect inside the Solutions Center of Excellence, you will serve as a strategic, technical partner in our most complex enterprise sales cycles. You are a recognized subject matter expert who empowers global teams and customers to achieve their mission by showcasing "the art of the possible" through deep technical expertise in Asana’s API, AI, and platform ecosystem. You will manage large, complex technical projects with our strategic customers, influencing both internal product roadmaps and external customer technology frameworks. This role is a transformation from one-off technical fixes to building the architectural foundation that orchestrates work at scale. This role is based in our San Francisco or Dublin office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What You’ll Achieve Strategic Team-Selling: Partner with Account Executives and Solutions Engineers to design innovative, integrated solutions that transform customer workflows and drive strategic business growth for Tier 1 accounts. Technical Validation & MVPs: Own the design and execution of technical proof-of-concepts (POCs) and minimum viable products (MVPs) that prove Asana’s value as a platform. Platform Evangelism & Enablement: Level up the broader Solutions organization by creating technical guides, reusable demo assets, and training programs on non-code and low-code technical engagements. Product Partnership: Serve as the "eyes in the field" for R&D, capturing insights from global enterprise engagements to influence the future roadmap of Asana’s API and AI capabilities. Architectural Leadership: Develop "before/after" architectural frameworks and

About the team Our Technical Services (TS) team members use their exceptional problem solving and customer service skills in conjunction with their deep technical experience to advise customers and to solve their complex MongoDB problems. The Curriculum Engineer will work closely with this team and the rest of the TS Enablement program in order to create and maintain technical education modules for both new and upskilling team members to perform their support tasks at the highest levels. Responsibilities include designing,creating and delivering interactive internal training modules in cooperation with technical leaders and subject matter experts. We are looking to speak to candidates who are based in Vancouver for our hybrid working model. Responsibilities Develop, maintain, and continually improve internal training materials (videos, slides, reference materials, evaluations, etc.) Identify technical and procedural training needs across the team Help foster a culture of continual learning, skill sharing through live training, coaching and mentoring Build out the training curriculum, module hierarchy and training policies Foster subject-matter expert contributions to the creation and review of technical content Establish and report on training KPIs and success metrics Create environments and technical exercises for hands-on engineering workshops Improve practices and tooling related to the training content lifecycle Evaluate and recommend the most effective delivery methods for training Suggest the appropriate cadence to keep key skills fresh as well as supporting new product and feature readiness across the organization Work with a globally distributed team across multiple time zones Requirements Experience developing and delivering technical education/training Experience consolidating and presenting technical concepts from subject-matter experts Familiarity with course development methodologies Proven success in creating, delivering and man

About the team MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are specialists in the entire MongoDB ecosystem - database server, drivers, our management suite, as well as services such as Atlas , Cloud Manager, Compass to name a few. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. We’re looking for individuals who want to dig into the details of how “big data” and “web-scale” systems are successfully assembled and operated every day by organizations of every size and flavor. Shift Information: We are looking to speak to candidates who are interested in working out of our Palo Alto, CA office under our in-office working model Monday to Friday for the first 3-6 months depending on ramping speed Once considered ramped, they will transition to a permanent Wednesday - Sunday 8am-5pm work week (with 3 in-office days) to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability Why MongoDB is a fantastic place to work and build your career Be a part of the company that’s reinventing the database, passionate about innovation and speed Enjoy a fun, inspiring culture that is engineering focused Work with exceptionally talented people around the globe Learn, contribute, and make an impact on the product and community Cool things you’ll do In this cross‑functional role as a Technical Services E

MongoDB Engagement Managers are quota-carrying Professional Services sales leaders responsible for discovering customer business initiatives, developing services strategies, scoping and negotiating engagements, and driving Professional Services bookings that accelerate customer outcomes and MongoDB adoption. As a Services Seller Engagement Manager, you will be a key leader within the PS team, work cross-functionally with the Sales, Professional Services, and Customer Success organizations to shape how we will help our customers achieve their MongoDB vision. Top- performing Engagement Managers have a unique ability to develop multi-phased services strategies aligned to customer modernization, migration, AI, and application development initiatives, then align with both executive and technical stakeholders to build business cases, define outcomes, and secure investment in Professional Services engagements. To learn more about the Services Seller Engagement Management role, check out these insightful blog posts: Meet a Current Engagement Manager and How Engagement Managers Help Customers Succeed . This role will be based remotely in San Francisco, CA. What you’ll do at MongoDB Understand customer application portfolios and identify opportunities to design delivery programs related to modernization, cloud adoption, AI enablement, and data platform transformation Lead discovery, solutioning, estimation, and commercial negotiations to convert customer business initiatives into Professional Services bookings Collaborate as part of a larger team alongside cloud partners, strategic partners, and your MongoDB account teams to develop and execute customer success and Professional Services growth strategies Maintain a strong sense of ownership, driving all deals or technical scopings from inception to closure Manage the Professional Services pipeline for bookings and revenue forecasts for your region Expertly articulate the business value of professional services, speaking

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern). We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. This role will be based remotely in France. Roles Responsibilities Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc. Experience designing with scalable and highly available distributed systems in the cloud and on-prem Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders Experience installing and delivering complex demonstrations consist

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern). We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. This role will be based remotely in Ireland. Roles Responsibilities Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc Experience designing with scalable and highly available distributed systems in the cloud and on-prem Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders Experience installing and delivering complex demonstrations consist

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern). We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. This role will be based remotely in the UK. Roles Responsibilities Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc. Experience designing with scalable and highly available distributed systems in the cloud and on-prem Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders Experience installing and delivering complex demonstrations consist

About the Team The AI Deployment Management (ADM) team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API. This includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use. This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes. This role is based in our Tokyo Office. We use a hybrid work model of 3 days in the office per wee

About the Team The Enablement team translates OpenAI’s product innovation into real-world customer impact by equipping customer-facing teams with the knowledge, practice, and frameworks they need to succeed. Within GTM onboarding, we establish a shared foundation during the first 30 days and build deeper role readiness for technical GTM teams as they progress through ramp. About the Role OpenAI is hiring a GTM Technical Onboarding Program Manager to define and deliver the role-specific onboarding experience for technical customer-facing GTM roles. Foundational onboarding establishes a common baseline during the first 30 days. This role owns the deeper development that follows, with a particular focus on days 30–90, when new hires need to translate product and deployment knowledge into practical, job-specific capability. You will partner with technical GTM leaders, Product, and subject-matter experts to turn complex product and deployment concepts into role-specific curricula, hands-on practice, assessments, certifications, and manager reinforcement. Success means technical GTM new hires build the product fluency, scoping ability, solution judgment, and customer-facing confidence required for their roles. Managers have clear readiness signals, learning experiences stay current as products evolve, and role-specific ramp becomes repeatable across teams and regions. In this role, you will: Own the design and delivery of day 30–90 role-specific onboarding for technical GTM roles Define learning outcomes and readiness standards in partnership with technical GTM leaders Build curricula and learning paths that translate complex product and deployment concepts into job-specific behavior Design and facilitate hands-on experiences such as labs, demos, simulations, technical discovery practice, and customer scenarios Create assessments, certifications, and manager-ready signals of proficiency and deployment readiness Partner with Product, technical subject-matter experts, and G

About the team The Applied AI Engineering (AAE) team is responsible for helping developers and enterprises turn the potential of generative AI into real-world impact. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact AI use cases and bring them into production through strong architectural guidance and hands-on execution. The Partner Applied AI Engineering organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful adoption of OpenAI technologies. As the leader of the AWS Partner AAE pod, you will manage a team of Applied AI Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform. About the role We are seeking a Manager, Partner Applied AI Engineering – AWS to lead a team of Applied AI Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help build scalable, repeatable ways for partners and their customers to adopt OpenAI technologies. Your team will guide partners and customers across the full AI implementation lifecycle—from identifying and shaping high-value use cases to solution design, architecture, production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering to ensure the voice of partners and customers informs our platform roadmap and how we bring OpenAI technology into production at scale. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based in our San Fra

About the Team OpenAI’s AI Success Engineer team partners with the world’s most ambitious government & partner organizations to translate cutting edge AI into real business and mission impact for governments of all levels from Local, State, Federal, and International. We guide customers and users journey from the first time they try ChatGPT Enterprise, automate a workflow, develop and execute a new skill, and create their first agent to scaled enterprise adoption of ChatGPT, Codex, our API and other novel capabilities. Our work spans technical integration and enablement, workflow transformation, inspiring and upskilling AI literacy and confidence across the workforce, sustained program, product and new capability delivery. Most importantly, we help each member of our customer's workforce, their teams, programs and missions meet their total potential. Our government customers have vital missions, and we must meet them with game-changing technology. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission. About the Role Governments work at a scale that is truly exponential on missions that are of critical importance to people, communities and nations. The AI Success Engineer role is the primary post-sales relationship for OpenAI’s most important customers. You are responsible for the end-to-end account management of critical Government and Partner customers. You will be helping Government Leaders/Partners appropriately and effectively use AI for their mission, while simultaneously investing in ensuring their people are AI-enabled and ready to advance positive outcomes that their constituents depend on them for. You will drive: the impact of our tools on their mission, account health and adoption, ensuring technical readiness, creating and executing on the deployment strategy, enabling, educating and training their workforce, identifying new use cases and upsell opportunities, and d

About the Team The AI Deployment Management (ADM) team enables organizations to turn OpenAI products into real, sustained impact through world-class services execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability - through structured training, technical enablement, and services. By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI’s products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes related to activation and sustained usage by shaping how enablement drives measurable customer impact. This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week