Staff Engineer, Billing

Stripe

WHO WE ARE 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 Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. WHAT YOU'LL DO You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe. You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that powers Stripe's ML-driven products. RESPONSIBILITIES * Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform. * Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy. * Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration. * Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical excellence with creative problem-solving. * Scope and lead large projects with significant business impact, driving them from requirements through design, implementation, and production operation. * Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and scalable technical solutions. * Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security constraints. * Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key technical considerations related to the end-to-end ML lifecycle. * Drive cross-team technical initiatives that improve ML development velocity and MLOps maturity across the company. * Mentor and grow other engineers. Serve as a role model for designing, implementing, and operating great software systems. 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 * 10+ years of professional software development experience, or equivalent domain expertise, with a solid background in service-oriented architecture and large-scale distributed systems. * Track record of serving as a technical lead, with the ability to provide technical direction, lead multi-team initiatives, and mentor team members. * Experience building and operating production ML platform in one or more areas such as model training, model serving, orchestration, or ML data systems, with requirements for performance, reliability, scalability, and cost efficiency. * Strong product instincts and a deep understanding of the business context in which you operate. * Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. * Demonstrated ability to work cross-functionally, collaborating effectively with ML engineers, data scientists, software engineers, product managers, and business stakeholders. * The ability to thrive on a high level of autonomy and responsibility, and comfort operating in ambiguous environments. * Hands-on experience using AI tools to accelerate how you work. PREFERRED QUALIFICATIONS * Experience building large-scale ML training, serving, or data infrastructure for machine learning use cases, such as distributed training, model inference, feature stores, real-time feature computation, and model registries. * Experience with distributed ML training systems, accelerator-backed compute, training data pipelines, experiment tracking, and model evaluation. * Experience rapidly developing prototypes and iterating based on user feedback. * Experience training and shipping machine learning models to production to solve critical business problems. * Familiarity with LLMs, LLM application frameworks, and agentic AI patterns (e.g., tool use, multi-agent orchestration, retrieval-augmented generation). * Familiarity with cloud services (e.g., AWS) and cloud-based AI and ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI). * Ability to synthesize ideas across the organization while setting a compelling technical vision. * Comfortable working with geographically distributed teams. * Passion for side projects, open source, or self-driven technical initiatives.

Stripe

WHO WE ARE 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 Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. WHAT YOU'LL DO You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe. You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that powers Stripe's ML-driven products. RESPONSIBILITIES * Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform. * Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy. * Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration. * Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical excellence with creative problem-solving. * Scope and lead large projects with significant business impact, driving them from requirements through design, implementation, and production operation. * Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and scalable technical solutions. * Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security constraints. * Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key technical considerations related to the end-to-end ML lifecycle. * Drive cross-team technical initiatives that improve ML development velocity and MLOps maturity across the company. * Mentor and grow other engineers. Serve as a role model for designing, implementing, and operating great software systems. 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 * 10+ years of professional software development experience, or equivalent domain expertise, with a solid background in service-oriented architecture and large-scale distributed systems. * Track record of serving as a technical lead, with the ability to provide technical direction, lead multi-team initiatives, and mentor team members. * Experience building and operating production ML platform in one or more areas such as model training, model serving, orchestration, or ML data systems, with requirements for performance, reliability, scalability, and cost efficiency. * Strong product instincts and a deep understanding of the business context in which you operate. * Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. * Demonstrated ability to work cross-functionally, collaborating effectively with ML engineers, data scientists, software engineers, product managers, and business stakeholders. * The ability to thrive on a high level of autonomy and responsibility, and comfort operating in ambiguous environments. * Hands-on experience using AI tools to accelerate how you work. PREFERRED QUALIFICATIONS * Experience building large-scale ML training, serving, or data infrastructure for machine learning use cases, such as distributed training, model inference, feature stores, real-time feature computation, and model registries. * Experience with distributed ML training systems, accelerator-backed compute, training data pipelines, experiment tracking, and model evaluation. * Experience rapidly developing prototypes and iterating based on user feedback. * Experience training and shipping machine learning models to production to solve critical business problems. * Familiarity with LLMs, LLM application frameworks, and agentic AI patterns (e.g., tool use, multi-agent orchestration, retrieval-augmented generation). * Familiarity with cloud services (e.g., AWS) and cloud-based AI and ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI). * Ability to synthesize ideas across the organization while setting a compelling technical vision. * Comfortable working with geographically distributed teams. * Passion for side projects, open source, or self-driven technical initiatives.

Yubico

MEET YUBICO Yubico is a global leader in identity security and creator of the YubiKey, the original hardware-backed passkey. Publicly traded on Nasdaq Stockholm with headquarters in Sweden, the US, and Singapore, we protect everyone from everyday consumers to global enterprises with modern, phishing-resistant authentication. Why Join Our Mission? At Yubico, we are guided by a shared belief that your work matters. We operate under a cultural philosophy of Speed with Integrity, pushing the boundaries of technology to secure the AI frontier—protecting both human and agentic AI interactions—and leading the transition to post-quantum cryptography. In everything we do, we live by our core values: * Battle Friction: We constantly look for new ways to simplify our products, our work, and the user experience. * Inspire Higher: We think big, champion the open internet, and strive to do the right thing even when it is difficult. * One Team: We are open, responsive, and collaborative, overcoming challenges and celebrating our successes together. Aligned with our commitment to open standards, we foster a thriving builder ecosystem through the Yubico Developer Program, offering free open-source repositories, libraries, and SDKs to help developers rapidly integrate strong hardware authentication into any application. Through close collaborations with technical partners like Google, Microsoft, and Amazon, as well as newer frontiers like OpenAI, we continue to shape a safer digital world while donating security keys to protect vulnerable communities, journalists, and humanitarian groups worldwide through our Secure it Forward program. At Yubico, we offer: Yubico Values: We work to ensure that our employees have an open space to have their voices amplified to create a workplace where everyone feels like they belong. In support of this, our employees have created some pretty cool Employee Resource Groups that foster inclusion, help build community and connection across Yubico. Additionally, Yubico donates YubiKeys to organizations in need all over the world (you can read more about our work here). Social Connection: Relationships and connectedness matter, and we love spending time with our team! Our virtual workspace keeps us connected day-to-day whether it's through Yubico celebrating wins or our buzzing Slack communities. Check out our Life at Yubico Page on LinkedIn and our awards here.   The Role: We are looking for a Senior Order Processor to process and validate customer orders end-to-end in Salesforce (SFDC), NetSuite and YubiKey as a Service (YaaS) Customer Portal ensuring accurate documentation, products, pricing, payment terms, and timely fulfillment. They will drive operational alignment and take the lead in bridging  Sales, Product, Customer Support and Customer Success, Solutions Engineers, Deals Desk, Finance, Production, Planning, Logistics, Inventory and Fulfillment teams to resolve discrepancies, track shipments, and improve order workflows.  The ideal candidate should also look at existing manual, multi-step operations and actively analyze how to transition them into seamless, automated flows. You will act as both a reliable operational anchor and a continuous improvement partner - collaborating across Sales, Finance, and Systems teams to turn high-touch, tribal-knowledge procedures into predictable, automated, and scalable business processes. Tasks & Responsibilities: * Drive the end-to-end execution and complex processing of customer purchase orders in SFDC, NetSuite and YaaS; taking ownership of accuracy in verifying product configuration, pricing, payment terms, and required compliance documentation * Serve as the operational lead in cross-functional partnerships with Deals Desk, Sales, Finance, Production, Logistics, and Fulfillment to resolve complex order exceptions and issues * Take ownership of the order lifecycle from creation through delivery; following shipping lead times and proactively address delays and provide status updates to internal teams * Manage purchase order lifecycle and returns process according to company guidelines while identifying areas for policy optimization * Handle inbound order-related support requests to maintain a positive customer experience * Spearhead the creation, implementation, and continuous evolution of Standard Operating Procedures (SOPs) and detailed Work Instructions to drive process standardization across the various teams * Take the lead in identifying workflow bottlenecks and drive the implementation of process improvements to increase overall team efficiency by translating repetitive, rules-based human tasks into structured data requirements and deterministic logic and process maps, preparing them for automation or programmatic integration * Provide timely status updates and escalate issues to the Sr. Manager, Order Management — US Basic Qualifications: * Minimum 5 years in a similar order processing, order management, or operations role with demonstrated success in actively transitioning complex, manual operational pipelines into automated or low-touch systems * Prior experience working collaboratively with Sales, Finance, Customer Support and Logistics teams with exceptional ability to deconstruct a highly manual, multi-step process into logical, sequential rules suitable for future automation * Proficient with NetSuite, SalesForce, SFDC Service Cloud, and Magento and Stripe with a deep understanding of relational data and how information syncs across primary business systems (such as CRMs, ERPs, and billing engines) via automated channels * Proficient with Office/G‑Suite apps (Docs, Sheets, Slides) * Demonstrated ability to document SOPs and implement process improvements, and take initiative to lead cross-functional projects without formal supervisory authority * Must be located in the San Francisco Bay Area and able to report onsite to the Santa Clara, CA office five days a week   U.S. benefits designed for your overall well-being: Health coverage. We’ve got you covered with top of the line health plans, including dental and vision. We pay 100% of your premium and 85% for your family. Retirement plan. Our retirement plan includes a 401K dollar per dollar match up to 6% with a cap of $6K/year. Immediate vesting. Wellness reimbursement. We offer $1,200.00 in wellness earnings (prorated based on start date) that you can use on your gym membership, a massage, or your favorite online fitness classes. This is a taxable benefit if you choose to participate. Learning and development. We encourage your professional growth and offer a yearly development stipend of $3,000 and mentorship program.  Time off. We offer a total of 15 vacation days plus 10 holidays, and 7 sick days a year. Paid parental leave. We love welcoming new family members to our YubiTeam! All parents receive 8 weeks of paid leave. Birthing parents receive an additional 8 weeks of paid leave (16 weeks total).  Commuter Benefits. If you need to commute to the office, we offer commuter benefits.  Strong mission & company values. We’re a global team on a global mission to make the internet more secure for everyone. We believe that every person’s work matters. That you should always be nice, stay humble, and have fun, and never take yourself too seriously.   #LI-Onsite #LI-LV1     Yubico offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work. This role has the annual salary range as defined below for a salary pay range for a candidate located in the San Francisco Bay Area. For roles that are filled in other locations, the compensation range will be based on data provided by the Radford McLagan Compensation Database from Aon. Final compensation is also based on a number of factors including, but not limited to, job-related knowledge, skills, and experience. Salary Pay Range $32—$40 USD We are an equal opportunity employer, we value diversity and uphold an inclusive environment where all people feel that they are equally respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity or expression, age, marital status, religion, national origin, disability, protected Veteran status or any other characteristic protected by law. We'd love to learn about what you can add to our diverse team. We are an E-Verify Participating Employer.   Yubico does not accept agency resumes or referrals so please do not send them to our careers staff or employees. Yubico is not responsible for any fees related to unsolicited resumes or referrals.   Personal data submitted through this form is used for managing Yubico’s recruitment activities, which include facilitating any application you make, setting up and conducting interviews and tests for applicants, evaluating and assessing results and selecting candidates, and as otherwise needed in our recruitment and onboarding processes. The use of your personal data may also be necessary prior to entering into a contract with you (that is prior to offering you a job with Yubico). Your personal data will only be used for the purposes for which it was collected and in accordance with the Yubico Privacy Notice. We only keep your personal data for as long as necessary and in compliance with Yubico’s record retention policies. If you have asked us to, we will keep you informed of other opportunities at Yubico. We do this in various ways, including email and by phone. If at any time you do not want us to contact you or use your information as described herein please contact us at jobs@yubico.com to let us know and we will delete all such information. Providing your personal data is voluntary, but necessary to join our talent community, and if you do not agree to provide your data, we will not be able to consider you as part of our talent community.   As part of providing the requested service, we will transfer your data to be processed by Greenhouse Software Inc., a service provider contracted by Yubico AB and/or its subsidiaries that meets legally mandated privacy requirements. The Yubico Privacy Notice offers more information about Yubico privacy practices, including the lawful basis for processing of personal data, how to lodge a complaint with the supervisory authority, and how to contact Yubico to exercise your data subject rights. In this notice, when we refer to "Yubico", "us", "we" or "our", we mean the Yubico group company or companies that you apply to, or correspond with, and which are responsible for any personal data collected about you.