Jobs in United States

Principal Customer Engineer in United States

334 active opportunities · Updated October 2026

Explore current principal customer engineer jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 O Fallon, Missouri, United States
✓ Quality checkedCompany trend +212.5%

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Software Engineer Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview We are seeking a hands-on Principal Forward Deployed Engineer to accelerate delivery across Mastercard Services. Modeled on the forward deployed engineering role that leading technology companies embed alongside their most important customers, this position turns that model inward. You will deploy into Services programs as an internal partner who writes production code, unblocks delivery, and puts AI to work in how we build. Reporting to the SVP of Developer Enablement within the Services Enablement & Transformation (SET) organization, you will move to wherever the need is greatest, adding s

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📍 Austin, TX, United States· Full-time
✓ Quality checkedCompany trend -100%

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Team Cloudflare handles traffic for almost 25% of the Internet. That’s a lot of data. On the Town Lake team, our mission is to make that data accessible and valuable for users across the company. We connect data from dozens of source systems and make it available so that any user in the company can answer any question in 5 minutes or less, using SQL or plain english. We’re building a modern, agentic-first data lakehouse platform ba

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📍 Santa Clara, United States
✓ Quality checkedCompany trend -8%

We’re looking for a technical architecture expert with hands-on development experience to define the architecture of the Retail and Consumer Packaged Goods Platform and collaborate with engineering to build the platform. This is a technical engineering role and requires familiarity with NVIDIA’s GPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AI architectures will make you an ideal candidate. Join us and take the lead in building the retail platform and help us develop the future of AI in retail! Your mission is to leverage NVIDIA’s existing retail and supply chain blueprints, along with proven workflows and best practices codified through customers and ISV engagements, to define the architecture and build the Retail & CPG platform. You will be responsible for architecting and collaborating with engineering teams across NVIDIA, to build the platform. Built on NVIDIA’s full stack—including Agentic AI, Physical AI, and accelerated computing—this platform will power our three strategic pillars: digital commerce, supply chain, and intelligent stores. What you'll be doing: You will work with Retail & CPG product management, business development, and developer relations teams to harness their deep expertise in supply chain and retail to architect and build a platform that makes it easier for our ecosystem and customers to build AI solutions at scale. The platform will use our NVIDIA Nemo microservices and Nemotron open-source models, with initial priority on Agentic AI for supply chain, digital commerce and employee productivity. This role will initially be an individual contributor with developer experience building AI agents and will collaborate with a strong technical retail and supply chain team, as well as horizontal engineering team(s). Define product, technical vision and architecture Develop platform s

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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team Our Cyber team builds AI systems and products that help trusted defenders understand and respond to cyber threats while improving the safety and reliability of frontier models in security-sensitive settings. The team works across product engineering, model training, evaluations, safeguards, and deployment to make advanced cyber capabilities useful to defenders and responsibly managed. We collaborate closely with Safety/Preparedness, Research, Security, Legal, Communications, GTM, and external partners across OpenAI’s broader cyber work. About the Role We’re looking for research and software engineers to join Codex Cyber. You’ll help define and ship security products, work with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data. This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases. In this role, you will: Help define and execute the technical roadmap for Codex Cyber’s security products, including evaluations, safeguards, trusted-defender workflows, and deployment decisions. Work with trusted defenders, customers, and partner teams to understand cyber use cases, evaluate risk, and turn feedback into product and research priorities. Shape cyber-specific model training and access patterns, including data, evaluations, validation, and deployment criteria. Build and validate systems for measuring cyber capabilities, monitoring misuse risk, and proving safeguards work in practice. Collaborate with Safety/Preparedness, Research, Security, Legal, Communications, Go-to-Market, and external partners on company-wide cyber priorities. Translate frontier cyber research into launch-ready tools, operational playbooks, and durable infrastructure for Codex and security products. You might thrive in this role if you: Enjoy 0 -> 1 envi

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📍 Bellevue, Washington, United States· Full-time
✓ Quality checkedCompany trend -92.9%

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. We are the Snowflake Metadata team. We own Snowflake’s metadata systems that make it easy for customers to query, modify and manage their petabyte-scale data. We develop distributed systems that store and maintain metadata, transaction frameworks that power Snowflake’s query and DML capabilities, asynchronous systems that provide time travel and lifecycle management capabilities and entity metadata supporting DDL capabilities. We also build foundational capabilities that deliver global features like cross-region replication (Snowgrid), data sharing, and data marketplace. AS A PRINCIPAL SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Solve real business needs at large scale by applying your software engineering and analytical problem solving skills. Design, develop and support fault-tolerant scalable distributed systems for our Snowgrid and Data Sharing teams. Create architecture and design, influence our product roadmap, and take ownership and responsibility over new projects. Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them. Mentor and grow junior engineers. Understand trade-offs between consistency, performance and costs to build solutions which can meet the demands of rapidly growing services. Ensure operational readiness of

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📍 Austin, Texas, United States· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives, spanning AI research specialists, silicon designers, software engineers and systems architects. Job Summary We are looking for an experienced Principal Engineer to join our System Management team and help lead the development of critical interfaces used by internal and external customers to manage system state. You will provide technical leadership within assigned areas of System Management, guide architecture and implementation choices, mentor engineers and translate broader technical direction into effective execution. This is a hands-on engineering role for someone who can lead complex technical work, improve reliability and operational readiness, and collaborate effectively across multiple engineering disciplines. The Team The System Management team sits within the Software Platform group and helps build Graphcore products into large-scale AI solutions for our customers. The team is responsible for developing the interfaces between hardware, AI software and frameworks, as well as providing interfaces for public and private cloud environments. This includes system management capabilities that abstract complex hardware administration and enable reliable deployment and operation at scale. As one of the first teams to work with new hardware and software, we regularly solve complex system-level problems

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📍 Bellevue, Washington, United States· Full-time
✓ Quality checkedCompany trend -92.9%

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. Build Core Data Engineering Primitives at Cloud Scale Data pipelines are foundational infrastructure — when they're fast, correct, and maintainable, customers build on them with confidence. If you've spent the bulk of your career building large-scale data infrastructure — designing streaming or transformation primitives, reasoning hard about consistency and fault tolerance, and owning the systems that run under millions of customer workloads — this role might be for you. You'll be working on the streaming and transformation layer at Snowflake: the constructs that define how customers move, shape, and maintain data. AI has a real presence in this work — in how customers use these pipelines and in how we think about building them — but the core job is hard distributed systems engineering, and that's what we're hiring for. About the Team We build the core data engineering primitives that power Snowflake's streaming and transformation capabilities. From the constructs customers use to define real-time pipelines to the execution fabric that makes those pipelines reliable and cost-efficient at cloud scale, our team owns the full stack of declarative data engineering. We're a small, high-ownership team operating close to the product — which means your decisions ship, your architec

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📍 Foster City, California, United States· Full-time
✓ Quality checkedCompany trend -85.9%

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role: This is a Principal Product Engineering role focused on Money Infrastructure at Replit. You’ll work on the financial backbone that powers how Replit earns money, how builders earn money, and how Agents transact. This role sits at the intersection of engineering, product, and the business. The systems you build directly impact revenue, trust, and some of the most critical user journeys on the platform. Getting them right enables growth, experimentation, and global scale. Getting them wrong creates broken payments, confusing pricing, and lost trust. We’re looking for engineers who can design and scale reliable financial systems while translating complex monetary logic into intuitive, user-friendly experiences for both Replit customers and builders on the platform. We love folks who have a passion for monetizing innovation and being a part of the greater pricing story. You will: Lead the design, architecture, and implementation of Replit’s core money infrastructure, spanning pricing, billing, payments, and monetization. Own and scale the global order-to-cash foundation supporting credit-based subscriptions, usage-based billing, marketplaces, in-app payments, and commerce for Agents. Enable rapid pricing and packaging experimentation across the company by building flexible abstractions and APIs for new SKUs, plans, and monetization models. Build high-converting, localized payment experiences across geographies — thinking globally while enabling users to pay locally. Power builder monetization by creating payment rails for apps, Agents, subscriptions, and new monetization primitives. Partner closely on data specifications with finance, accounting, and data teams to produce accurate, auditable, and reliable f

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📍 Menlo Park, California, United States· Full-time
✓ Quality checkedCompany trend -92.9%

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 Product Security team ensures that Snowflake products are built and shipped with the highest level of security. Our team drives the security posture of Snowflake products and is responsible for embedding security into every stage of the product lifecycle, from design through deployment and beyond. We design and build frameworks, systems and services that keep Snowflake secure. As a Principal Software Engineer II on the Product Security team, you will be the senior technical authority for Product Security and play a critical leadership role in shaping and advancing Snowflake’s security. This is a unique opportunity to define and influence our long-term security strategy and have a direct impact on the security of the Snowflake platform and the trust of our customers. You will operate across organizational boundaries, guiding major security initiatives, influencing architectural decisions at the highest levels, setting the technical direction for the organization, and ensuring consistent security excellence across all product teams while working closely with business leaders to advance Snowflake’s business. The role requires deep expertise in security, software engineering, distributed systems, software infrastructure, AI/ML, applied cryptography, threat modeling and clou

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📍 Bellevue, Washington, United States· Full-time
✓ Quality checkedCompany trend -92.9%

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 Mission: Building the Data Foundations for AI We are the Snowflake Interoperable Foundations organization - the foundational layer that powers Snowflake’s AI, Analytics and Data Engineering capabilities. We lead innovations across open table formats such as Apache Iceberg, helping customers build peta-byte scale multi-cloud data lakes on Snowflake. We deliver core Metadata capabilities that power Snowflake’s industry-leading performance, AI, governance and platform features. We are embarking on a 0->1 redesign of our core systems across Interoperable Foundations. While we already manage exabyte-scale data supporting Snowflake’s AI capabilities, the next frontier is providing the foundational data layer that accelerates agentic innovation in an open, multi-format data world, You will be setting the technical vision across our investments in metadata platforms, Apache Iceberg and AI-ready storage. Your Impact: From Redesign to Reality 0->1 Architectural Leadership: Lead the ground-up redesign of our core Metadata systems, influencing the transaction frameworks that power query, DML, and AI-driven data interactions in addition to extending our lead on platform capabilities such as Zero Copy Cloning and Cross-Region / Cross-Cloud Replication. Iceberg Innovation: Drive

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📍 Menlo Park, California, United States· Full-time
✓ Quality checkedCompany trend -92.9%

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 Snowhouse Foundation team builds our globally distributed data warehouse. We manage a vast array of petabyte scale data sets that are continuously ingested, processed and replicated from across all Snowflake environments and external data sources. Snowhouse powers all of Snowflake’s core business, engineering and data science needs and provides customers with full visibility into their account activities, usage, and resource consumption from all their global environments. The team is investing in multiple critical areas, including a pipeline authoring platform, high performance/high efficiency data export, ingestion and data layout. Our team is also responsible for a fundamental product for Snowflake’s customers: the Snowflake system database/application that provides customers with all usage insights they need to reason about their global Snowflake footprint as well as 1st party business logic such as ML powered functions and Budgeting applications. AS A PRINCIPAL SOFTWARE ENGINEER IN SNOWHOUSE FOUNDATION, YOU WILL: Design and implement innovative highly available distributed platforms and pipelines and enhance the overall Snowflake data infrastructure Lead and drive projects from idea formulation to design, implementation and successful productionization. Collaborate

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📍 Amer, United States
✓ High-confidence listingCompany trend +90.9%
Quick readStrong listing-quality and freshness signals

Job Requisition ID # 26WD95847 Position Overview Autodesk is seeking a motivated, experienced, and skilled engineer to join our Connected Delivery platform team. This platform is responsible for enabling the discovery, download, and install of all the Autodesk products, services, and third-part apps. You'll be responsible for building a full-stack application that is resilient, scalable, and highly available. As an ideal candidate, you’ll have led teams developing modern web experiences with cloud services in a fast-paced, agile environment. Responsibilities Lead, design, and develop high-quality, secure, performant applications Provide project and team leadership to break down, estimate, and organize work Participate in agile ceremonies of the scrum team Work closely with the product manager and team to understand and elaborate on the requirements Provide guidance to own team and others on software development best practices Work with the team to troubleshoot code-level problems quickly and efficiently Identify risk and propose mitigation strategies associated with the design Participate in code reviews to ensure new code conforms to the highest standards Interact with internal and external customers to identify and resolve product defects Mentor and develop junior developers Respond on a rotation basis to escalated incidents after hours or on weekends to ensure 24/7 availability of our platform Minimum Qualification BS in computer scie

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📍 San Francisco, CA, United States· Full-time· Remote
✓ High-confidence listingCompany trend -85.6%

From $242.6K/yr

Quick readStrong listing-quality and freshness signals

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for a principal software engineer to lead the next generation of data infrastructure at Pinterest which powers mission critical big data and AI applications. You’ll be working on some of the most exciting big data and AI open source technologies (Flink, Spark, Kubernetes, etc.), at the scale of exabytes of data to help Pinners discover and do what they love. What you’ll do: Lead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications Build and scale data infra frameworks and infrastructure to process petabytes-scale datasets, including compute engines, job management, resource management, scheduling and remote shuffling Work with internal customers on critical business use cases that rely on big data Provide thought leadership to the entire company on how data should be

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📍 Seattle, Washington, United States· Full-time· Remote
✓ High-confidence listingCompany trend -81%

From $200K/yr

Quick readStrong listing-quality and freshness signals

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role You will work on core enterprise platform systems, focusing on services that ensure Synthesia is secure, reliable, and scalable for our largest customers. You will contribute to our new suite of APIs that will unlock our market leading Avatar technology to be utilised by external creative tools. We are an AI native company and use the most powerful assistant tools on a daily basis to increase our speed of development, automate repetitive tasks and widen the scope of what the team can worked on. This includes Claude and Cursor. You will have ownership of projects that span months and multiple teams, requiring you to break down complex, ambiguous problems into clear steps that can be delivered and validated iteratively. Engineers within Synthesia are empowered to contribute heavily to product discussions and build with both user and business considerations in mind. Impact is key to everything we do here. You will work closely with product, security, legal, and infrastructure partners, and will be expected to translate business and regulatory requirements into scalable technical solutions. You will evaluate your work through system health and reliability metrics, leveraging observability and monitori

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📍 United States· Full-time· Remote
✓ Quality checkedCompany trend -97.9%

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role You will lead the product strategy for GitLab's next generation of engineering insight, helping software leaders, engineering managers, CTOs, and CPOs understand not just what their teams shipped, but why, and what to do next. As Principal Product Manager, Engineering Intelligence & Insights, you will shape how GitLab turns engineering data into decision-ready intelligence: the core data infrastructure and knowledge graph integrations that connect it, the out-of-the-box dashboards customers rely on today, and the conversational AI experiences that let leaders simply ask a question and get an answer in

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