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As a Payments Performance Strategist, you will lead data-driven discussions with existing and prospective merchants on optimization strategies across various areas, including card network costs, acceptance, fraud, and cross-border flows. You will be instrumental in building our optimisation narratives/tools and delivering on our merchant engagement model. You will also collaborate with Sales, deploying your knowledge to differentiate Stripe to win deals, and partner with our Customer Success organization to ensure that merchants are successful working with Stripe.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Advise customers on usage of Stripe&#39;s PINless debit offering</li>\n<li>Design and collaborate on PINless debit experiments alongside Stripe&#39;s Data Science, and own experiment result analysis and customer facing readouts of analysis</li>\n<li>Serve as an internal expert on Stripe&#39;s PINLess debit offering, relaying customer feedback to Product with the goal of shaping Stripe&#39;s roadmap and strategy for PINless debit</li>\n<li>Work with account teams, deal pricing teams and partnership teams to manage Visa and Mastercard incentive offers, churn risks and volume win back initiatives</li>\n<li>Lead discussions with existing and prospective merchants, and provide the Sales team with tools and training to lead discussions with merchants and prospects.</li>\n<li>Serve as both an internal and merchant-facing expert on payment optimisation strategies.</li>\n<li>Gather and build on Stripe&#39;s wide-ranging payments expertise to create optimisation narratives/tools supported by rigorous analysis.</li>\n<li>Use existing tools to deploy sophisticated optimization playbooks and analyses across Stripe&#39;s customer portfolio.</li>\n<li>Synthesise and relay customer feedback and our findings to inform Stripe&#39;s product roadmap.</li>\n<li>Provide feedback on our tools and playbooks to help continuously improve our self serve offerings</li>\n<li>Develop optimization playbooks and stay updated on industry best practices and Stripe innovations</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>10+ years of experience in payments at a leading technology company, or consultancy in the payments industry.</li>\n<li>Deep expertise in PINless debit</li>\n<li>Understanding of e-commerce payments, cards based payments processing and optimization strategies, with a strong focus on PINless debit.</li>\n<li>Understanding of PINless debit regulations</li>\n<li>The ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment.</li>\n<li>A proven ability to be a self-starter capable of driving business results without significant supervision.</li>\n<li>Experience presenting directly to merchants</li>\n<li>Strong data processing, organisational and analytical skills.</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Experience with designing and administering A/B tests, SQL, dashboard building, modelling, or reporting</li>\n<li>Experience presenting to senior business leaders</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_55ee2d21-26f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7409686","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PINless debit","e-commerce payments","cards based payments processing","optimization strategies","data science","SQL","dashboard building","modelling","reporting"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:26.485Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago, IL; Atlanta, GA; US-Remote; San Francisco, CA; New York; NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"PINless debit, e-commerce payments, cards based payments processing, optimization strategies, data science, SQL, dashboard building, modelling, reporting"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_93a43345-780"},"title":"FinOps Program Manager","description":"<p>We believe that the way people interact with their finances will drastically improve in the next few years. We&#39;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.</p>\n<p>The FinOps function is responsible for financial accountability, visibility, and optimization across all engineering-related spend at Plaid. This includes cloud infrastructure, AI/ML and data workloads, third-party SaaS tools, and other technical investments that support Plaid&#39;s products and internal platforms.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Monitors and analyzes engineering spend across cloud, AI/ML, data platforms, and SaaS, identifying trends, anomalies, and optimization opportunities.</li>\n<li>Builds and maintains forecasts for engineering spend, partnering with Finance and engineering leaders to understand drivers, assumptions, and risks.</li>\n<li>Partners with engineering, product, and TPMs to incorporate cost considerations into roadmaps, architectural decisions, and execution plans.</li>\n<li>Leads cost optimization initiatives, such as rightsizing, commitment strategies, and workload efficiency improvements, in collaboration with engineering owners.</li>\n<li>Creates and maintains dashboards and reporting that make spend understandable and actionable for both engineers and executives.</li>\n<li>Implements FinOps practices and processes, including showback/chargeback models, unit economics, and cost ownership frameworks.</li>\n<li>Partners on tooling and automation, working with data and engineering teams to improve cost visibility, forecasting accuracy, and operational efficiency.</li>\n<li>Drives alignment and behavior change, helping teams balance cost, performance, reliability, and velocity through data-driven decision making.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>6–10+ years of relevant experience working at the intersection of engineering, infrastructure, data, or finance in a cloud-native or SaaS environment.</li>\n<li>Proven experience partnering closely with engineering teams to influence decisions involving cloud infrastructure, data platforms, AI/ML workloads, or SaaS spend.</li>\n<li>Working understanding of modern cloud-native architectures, including core components such as compute, storage, networking, data pipelines, and managed services,enough to engage credibly with engineers on design, tradeoffs, and cost drivers.</li>\n<li>Strong foundation in cost analysis, forecasting, budgeting, and variance management, with the ability to translate data into clear, actionable insights.</li>\n<li>Comfort working directly with data, including writing SQL (or effectively using AI-assisted tools to do so) to explore datasets, validate assumptions, and answer ad hoc questions.</li>\n<li>Experience building clear, high-quality dashboards and BI artifacts that are not only accurate, but intuitive and delightful for engineers and leaders to use.</li>\n<li>Demonstrated success driving adoption and behavior change,embedding cost awareness into day-to-day engineering workflows, not just producing reports.</li>\n<li>Experience owning and delivering cross-functional programs end-to-end, often without direct authority or a dedicated team.</li>\n<li>Familiarity with FinOps principles and practices (e.g., shared ownership, showback/chargeback, unit economics, optimization strategies).</li>\n<li>Strong communication skills, with the ability to tailor complex technical and financial concepts for engineering, finance, and executive audiences.</li>\n</ul>\n<p><strong>Nice to Haves</strong></p>\n<ul>\n<li>Hands-on familiarity with cloud cost management tools (e.g., AWS Cost Explorer, GCP Billing, Azure Cost Management, CloudHealth, Cloudability, or similar).</li>\n<li>Experience working with or supporting data platforms and AI/ML workloads, including understanding cost drivers for batch processing, streaming, storage, and model training/inference.</li>\n<li>Exposure to showback/chargeback models, cost allocation strategies, or product-level unit economics.</li>\n<li>Experience improving data models or pipelines that support analytics, reporting, or financial attribution.</li>\n<li>Familiarity with BI tools such as Mode, Tableau, Looker, or similar,and a strong eye for dashboard usability and design.</li>\n<li>Background in a technical role (e.g., engineering, TPM, infra, data, or engineering operations) before moving into a more cross-functional or business-oriented position.</li>\n<li>Experience operating in a high-growth or rapidly scaling environment, where cost structures and investment priorities are evolving quickly.</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. 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