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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 Link helps Stripe's merchants deliver frictionless and secure checkout experiences by auto-filling customers' payment information, letting customers check out in seconds and pay in one click across the Link merchant network. The Link Balance team is building on top of that network to transform Link from a one-click checkout into a global consumer financial platform. Link Balance lets consumers hold, spend, earn rewards on, and off-ramp digital dollars—stored as stablecoins, powered by Bridge and Privy, and distributed through Stripe's network of hundreds of millions of consumers. We're bringing the borderless, programmable, and instant utility of digital dollars into everyday use. What you'll do We’re hiring a Staff Software Engineer to lead the design and delivery of new money-movement capabilities in Link. You will take ambiguous product opportunities and turn them into reliable, scalable, and intuitive experiences for consumers and merchants. This is a hands-on individual-contributor role with broad technical and organizational scope. You will own large, cross-functional projects from early product and technical definition through launch and iteration; lead teams of engineers through complex execution; and partner closely with the many Stripe systems and teams that make money movement possible. You will work across the stack, building services and APIs as well as the user experiences that expose those capabilities. The work may involve modern financial infrastructure—including stablecoin-enabled capabilities—while requiring sound judgment around safety, reliability, compliance, and user trust. You will make the architectural decisions that let the balance model scale globally, and raise the engineering bar for the team as we grow. Responsibilities Lead the technical strategy, architecture, and execution for large, ambiguous Link initiatives that create new money-movement primitives. Own projects end to end: clarify the problem, define an incremental technical plan, align stakeholders, drive delivery, launch safely, and use results to guide further investment. Build robust, scalable backend services and high-quality consumer-facing experiences across Java, Ruby, and TypeScript. Lead a project team of engineers through execution, creating clarity on priorities, decisions, risks, and delivery milestones. Partner with Product, Design, Data Science, Risk, Infrastructure, and other Stripe teams to build capabilities that are safe, reliable, and useful. Navigate dependencies across Stripe’s payments and money-movement platforms, making thoughtful tradeoffs between speed, user experience, operational reliability, and durable technical foundations. Raise the engineering bar through technical leadership, design reviews, mentoring, and constructive feedback across the team. Help shape the team’s longer-term roadmap by identifying opportunities, technical risks, and investments needed to scale Link’s financial capabilities globally. 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 8+ years of backend and/or full-stack software development experience, with a track record of owning large, ambiguous systems end-to-end. Demonstrated technical experience leading the design and delivery of large, complex software projects from early definition through production launch. Strong full-stack engineering skills, including experience building reliable backend services and polished user-facing product experiences. Experience leading and unblocking a group of engineers on a substantial project as a senior individual contributor. Ability to operate effectively in high-ambiguity environments: framing problems, making durable technical decisions, and creating an actionable path forward. Excellent cross-functional and cross-organizational collaboration skills, with the ability to align teams with different systems, priorities, and constraints. Strong engineering judgment around system reliability, operational excellence, security, and maintainability. A product-minded approach to engineering, with a focus on delivering meaningful outcomes for users and the business. Preferred qualifications Experience with Java, Ruby, and/or TypeScript. We care more about strong engineering fundamentals and the ability to learn than expertise in a particular language or framework. Experience building payments, money-movement, fintech, or other regulated financial products. Experience building consumer products at scale, particularly products that require a high degree of user trust. Experience working on 0→1 products or taking new capabilities from concept through launch and iteration. Familiarity with stablecoins, digital assets, or the infrastructure that enables global financial products. Appreciation for the importance of good documentation—internal and external—and taking pride in seeing projects through to successful completion
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.
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.
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 Payment Intelligence is comprised of multiple product teams building AI-first solutions to some of our customers’ biggest challenges, including fraud/abuse ( Radar ), payment optimizations ( AuthBoost ), Disputes, Authentication, and merchant analytics. We’re a mix of machine engineering engineers and full-stack software engineers impacting ~every Stripe transaction, creating revenue opportunities for Stripe and our customers, and helping protect the broader ecosystem. We have the benefit and privilege of working on cutting edge technologies with incredible scale and reach while also working directly with our merchants every day to build the right products for their needs. What you'll do As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML teams and models. Responsibilities Define technical strategy for multiple experiences across the Payment Intelligence portfolio, with a focus on quality and performance Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality code at scale Partner with some of Stripe’s largest merchants to co-build the future of payment-centric intelligence Partner cross-functionally with product, design, and ML colleagues to ship the very best software possible Work across the stack - contributing to infrastructure and foundational systems, but also FE, API, and ML-adjacent work. Minimum requirements 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role Experience leading engineering team(s) working on Distributed systems, API design, and user facing products Proven track record of delivering pragmatic solutions that accelerate business growth Ability to drive projects at a high-level while also being hands on and contributing directly to technical solutions as necessary Effective communication skills and a proven ability to work cross-team, cross-org, and cross-functionally. Preferred qualifications Experience with payments systems and/or fraud detection Familiarity with ML systems in production: model serving, training pipelines, observability, and evaluation Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly Experience across a range of software languages and frameworks; our stack includes Java, Ruby, Python, TypeScript, Kafka, Flyte, Airflow, and Mongo. Experience navigating ambiguity in a fast-moving organization - you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge
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 Payment Intelligence is comprised of multiple product teams building AI-first solutions to some of our customers’ biggest challenges, including fraud/abuse ( Radar ), payment optimizations ( AuthBoost ), Disputes, Authentication, and merchant analytics. We’re a mix of machine engineering engineers and full-stack software engineers impacting ~every Stripe transaction, creating revenue opportunities for Stripe and our customers, and helping protect the broader ecosystem. We have the benefit and privilege of working on cutting edge technologies with incredible scale and reach while also working directly with our merchants every day to build the right products for their needs. What you'll do As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML teams and models. Responsibilities Define technical strategy for multiple experiences across the Payment Intelligence portfolio, with a focus on quality and performance Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality code at scale Partner with some of Stripe’s largest merchants to co-build the future of payment-centric intelligence Partner cross-functionally with product, design, and ML colleagues to ship the very best software possible Work across the stack - contributing to infrastructure and foundational systems, but also FE, API, and ML-adjacent work. Minimum requirements 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role Experience leading engineering team(s) working on Distributed systems, API design, and user facing products Proven track record of delivering pragmatic solutions that accelerate business growth Ability to drive projects at a high-level while also being hands on and contributing directly to technical solutions as necessary Effective communication skills and a proven ability to work cross-team, cross-org, and cross-functionally. Preferred qualifications Experience with payments systems and/or fraud detection Familiarity with ML systems in production: model serving, training pipelines, observability, and evaluation Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly Experience across a range of software languages and frameworks; our stack includes Java, Ruby, Python, TypeScript, Kafka, Flyte, Airflow, and Mongo. Experience navigating ambiguity in a fast-moving organization - you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge
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 Deal Pricing is a dedicated global function that provides deal pricing expertise, financial insights, and deal support for negotiated users to Stripe's global Go-to-Market teams. We work to ensure deals create economic value for Stripe by establishing the deal commercial framework for a scaling sales organization, actively supporting large and strategic deals, and providing pricing insights and feedback to sales, finance, and product leaders. Deal Pricing frequently works with cross-functional business partners across Operations, Finance and Strategy, and Product. There is constant collaboration with Deal Pricing colleagues across all regions. Rather than pricing individual deals, this Strategy and Operations (S&O) role acts as a central engine behind the global deal pricing team. You’ll serve as a "Chief of Staff" function to Deal Pricing leadership—owning the global operating model, driving cross-functional process excellence, managing our strategic operating rhythm, and codifying our commercial knowledge so Stripe can scale its GTM velocity. What you’ll do Strategic planning and operating rhythm Drive strategy execution. Translate high-level annual goals into actionable quarterly OKRs, ensuring clear ownership and measurable progress. Manage the operating cadence. Facilitate the team’s operating rhythm (MBRs, QBRs, and leadership syncs) to drive accountability, surface risks, and unblock cross-functional dependencies. Strategic telemetry and insights. Collaborate with our tooling and analytics team to track functional performance, using data to inform pricing strategy, operational pivots, and executive decision-making. Commercial governance and friction management Optimize cross-functional SLAs. Act as the primary bridge between Sales velocity and risk-mitigation functions (Deal Strategy, Finance, Treasury). Define and enforce SLAs for deal pricing approvals to ensure global consistency. Resolve bottlenecks. Proactively identify process friction, working with partner ops teams to redesign playbooks and clarify decision-making boundaries. Knowledge infrastructure and sales enablement Codify the "Deal pricing playbook." Build and maintain a single source of truth for deal pricing frameworks, guidelines, and Standard Operating Procedures (SOPs), ensuring documentation is version-controlled and highly discoverable. Scale sales self-service. Partner with Sales Enablement to translate complex commercial policies into self-serve guides and playbooks, empowering Sales to execute simple deals independently. Process and AI architecture Systems roadmap. Act as a lead for our CRM and CPQ evolution, transforming manual, spreadsheet-based pricing into automated, scalable workflows. Deploy AI for efficiency. Proactively identify and implement AI and LLM solutions to accelerate operations—including automating documentation, summarizing legacy contract terms, and extracting data from unstructured sales communications. 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 Bachelor’s degree in Business Administration, Operations Management, Finance, Economics, Management, or a related field. 6–8+ years of experience in Business Operations (BizOps), Sales and Revenue Operations, Management Consulting, or a Chief of Staff role supporting a high-growth GTM team. Practical experience using generative AI tools (e.g., LLMs, advanced prompting techniques, AI-driven search/synthesis tools) to accelerate your work. While not a software engineer, you are “technically savvy.” You can navigate data structures and AI orchestration tools to build prototypes or initial solutions independently. Proven experience translating high-level corporate strategy into operational execution frameworks (OKRs, KPIs) Outstanding written communication skills. You must be able to write clear, structured, and highly professional playbooks and memos (critical for Stripe’s document-centric culture). A track record of mapping complex, cross-functional processes, identifying root causes of friction, and redesigning workflows to improve cycle times. Strong understanding of GTM tech stacks (Salesforce, CPQ, workflow automation) and how to write clear business requirement documents (BRDs) for technical teams. Preferred qualifications Experience in Fintech, Payments, or consumption-based (API) SaaS models. Direct experience building simple automation flows to optimize personal or team productivity.
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 The Storage Abstractions (STAX) team builds the software layer through which Stripe services access stored data. We own the database SDKs that hundreds of Ruby and Java services use to read and write data safely, reliably, and efficiently without needing to understand the underlying database, routing, or operational complexity. Our work creates leverage across Stripe: by providing stable interfaces and safeguards at the storage layer, we help teams build products with confidence while enabling Stripe’s data architecture to evolve. Alongside engineers, we are designing for AI agents as customers of this foundation, making storage capabilities discoverable, interoperable, and safe to use across languages and storage backends. What you’ll do As a Staff Software Engineer on STAX, you will set technical direction and lead multi-year initiatives at the intersection of developer infrastructure, data access, and AI. You will work hands-on with engineers across Stripe to make storage access simpler, safer, and more interoperable, while helping product and infrastructure teams evolve their systems without fleet-wide migrations. You will help turn Stripe’s AI strategy into practical developer infrastructure by treating AI agents as customers of the storage layer. This is an opportunity to build frameworks and interfaces that make complex storage operations discoverable, interoperable, and safe for both human developers and agentic workflows, while raising the quality bar for systems used throughout Stripe. Responsibilities Set technical direction for Stripe’s storage-access and lead high-impact initiatives from strategy through delivery Evolve storage abstractions so service teams can use consistent and reliable capabilities across languages, API versions, and storage backends Design stable interfaces and guardrails that improve data correctness, reliability, observability, and performance by default Treat AI agents as customers by building agent-accessible SDKs, frameworks, and developer workflows that enable safe, effective use of storage infrastructure Partner with senior leaders, engineers, product teams, and core infrastructure teams to solve cross-organizational data architecture challenges Mentor engineers and raise the bar for technical design, execution, and operational excellence across the team 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. Requirements This is a Staff-level role so we're looking for 12+ years of professional software engineering experience and 5+ years leading technical strategy and delivery for complex, cross-team engineering initiatives Experience leading engineering team(s) working on API design, SDKs, abstractions, frameworks, or client libraries (e.g., building internal or external developer products) Experience designing reliable distributed systems with a focus on data correctness, performance, and safe evolution of critical infrastructure Work designing developer infrastructure for AI or agentic workflows and helping define a technical direction for their use Demonstrated customer-centricity, with a track record of deeply understanding user needs and obsessing over delivering simple, reliable experiences for internal or external customers Hands-on experience building infrastructure and products for internal or external customers Proven track record of delivering pragmatic solutions that accelerate business growth Ability to adjust conversations from high-level discussions to detailed coding Thrives on a high level of autonomy and responsibility Clear and persuasive writing and in-person communication Strong problem-solving skills, critical thinking, determination, and a growth mindset Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to a high level of psychological safety for all team members and partners Proficient in at least one of the programming languages (Java, Ruby, Python) Preferred qualifications Experience with MongoDB or other large-scale storage systems, such as DynamoDB, Elasticsearch, RocksDB, or relational databases Experience guiding adoption of a shared developer platform across a large internal engineering organization Experience developing observability and operational tooling that helps platform users diagnose and resolve issues Experience in financial technology or another environment where data correctness and reliability are especially important Experience influencing product and organizational decisions with senior leaders and broad stakeholder groups Experience leading partially remote and distributed teams Experience managing rigorous incident response processes and on-call rotations We don't expect deep expertise in every dimension above, but genuine curiosity about any of the areas that are less familiar is important to us.
Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone What you’ll do As a Support Operations Associate at Privy, you will own the internal systems and workflows that keep our Developer Success team efficient, responsive, and focused. You’ll serve as air traffic control for support requests – triaging issues across our support stack (Pylon, Slack, HubSpot, and more), improving internal workflows, and maintaining CRM and support-data hygiene. You’ll partner closely with Account Management, Solutions Engineers, Forward Deployed Engineers, and Sales, while your day-to-day work will have impact across Privy, and Stripe as a whole. This is a high-leverage operations role where attention to detail, a systems mindset, and a bias for execution will make you critical to making our customers successful. Responsibilities Own triage and routing for inbound support tickets from both Privy developers and end users of Privy applications, ensuring issues are assigned, tracked, and resolved promptly and efficiently across the Developer Success team. Maintain data hygiene, consistency, and accuracy across our support stack, including Pylon, Slack, HubSpot, and other systems. Partner with cross-functional teams—including Sales, Engineering, and Product—to continuously improve the quality and efficiency of support processes. Create and maintain internal runbooks for ticket triage, escalations, and engineering-support handoffs. Identify operational gaps and implement scalable workflows that help the team respond to customers more effectively. 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 1–3 years of experience in support operations, customer experience, technical program management, or a related operational role. Highly organized and process-driven, with strong attention to detail and a bias toward action and ownership. Strong intuition for customer sentiment and urgency, with sound judgment about how to prioritize and escalate issues. Familiarity with customer-support tooling, such as Pylon, Zendesk, Intercom, or Jira, and communication platforms like Slack. Comfort working across systems and maintaining high-quality CRM data in tools such as HubSpot or Salesforce. Strong written and verbal communication skills, especially for issue tracking, coordination, and process documentation. A systems mindset and enthusiasm for building internal processes that scale with the business. Preferred qualifications Experience at a developer-tools or infrastructure company, or experience working closely with engineering and product teams. Experience working with APIs, coding with AI, or using AI to automate tasks and operational processes.
Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Working with teams across the organization to understand pain points in their infrastructure usage to find common ideas and work to create solutions which span multiple domains. Define and produce high quality written proposals, communications and documentation. Execute on technical programs that require deep systems and engineering level knowledge. Partner with Engineering Managers, Product Managers and other Technical Program Managers to define, scope and drive large programs to conclusion. Play a key part in shaping the technical design, predicting technical roadblocks by collaborating with engineers, and identifying trade-offs. Develop, implement, and iterate on program management techniques, frameworks, and KPIs to achieve goals with well-defined success criteria. Elevate the execution muscle of engineering teams around you. Train them to be better at delivery where needed. Help influence peers / stakeholders and build consensus while dealing with ambiguity. Leverage data and acquired knowledge to drive strategic decisions at an engineering leadership level. Create widely circulated plans, driving consistency, clarity and building alignment across teams. Operationalize and execute critical cross functional programs spanning multiple engineering organizations for Core Infrastructure (Compute, Networking, Database, Services). Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related field, plus 8 years of experience in Technical Program Management or a related field, of which, at least 5 years must be post bachelor's progressive experience. Must also have experience in each of the following: 8 years experience in: Distributed Systems; Service Oriented Architecture (SOA); Program management during all phases of software development from kick-off to launch; Driving internal and external process improvements across multiple teams and functions; and Leading large-scale efforts across multiple teams and functions; 6 years experience in core infrastructure including database, cloud compute, networking, and services; 4 years experience in SQL; 3 years experience in Data Analysis; Cloud Infrastructure; and Developer Productivity or Developer Experience. Salary: $174,637.00 - $260,200.00/Yr. This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 100 % Telecommuting permitted Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. CA39 #LI-DNI
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 The Platform Sales team partners with Software Platforms to help them expand their value proposition towards payments and financial services by leveraging Stripe Connect. Platforms already using Stripe include Shopify, Treatwell, Sage & Wix. As a member of the Strategic Account Platforms team, you will manage and elevate our relationships with a limited number of our largest and most complex accounts. Your role is to identify and implement new growth opportunities and ways Stripe can exceed expectations. What you’ll do As a Strategic Account Executive, you will develop our partnerships with our largest and most complex Platforms by creating long term alignment between Stripe and your Platforms’ business strategy, technological roadmap and user experience. Responsibilities Be accountable for the relationship and business developed between Stripe and a limited number of Strategic Accounts Build, document and implement strategies that are mutually beneficial to the Platforms you manage and Stripe Build, develop and orchestrate multi-level executives relationships Influence and align multiple company leaders internally and externally, from engineering to marketing, from finance to compliance Own the full sales cycle from lead to close to activate for large enterprise-size deals Contribute to shaping our platform partnership strategy and building repeatable processes and scaled engagement models Who you are You are an adept salesperson and relationship manager capable of engaging in deep business-level and technical conversations at multiple levels of the organization, including the CTO, COO, CFO and CEO. You have experience working with large and complex accounts. You can lead complex, multi-party sales in a highly consultative manner. You are used to building value in competitive situations and enjoy working on products that require deep product understanding, combined with technical knowledge. You are naturally analytical and enjoy digging into business models and helping customers quantify their investment decisions. Finally, you enjoy building – you like to actively participate in the development of our sales process, the articulation of our value proposition, and the creation of key tools and assets. Minimum requirements 10+ years of sales experience, managing large accounts and selling complex technical solutions and closing large deals with a track record of top performance (if you do not have a sales background but have the grit and an experience of managing complex projects or consulting engagement, we are keen to hear from you) A proven track record of moving sales processes forward from inception to close by leading complex, multi-party sales in a highly consultative manner, understanding strategies and leading with value Great listening skills and ability to quickly become a trusted resource for C-levels decision-makers across technology and finance orgs within software companies An ability to understand complex technical and business problems and understand how Stripe’s solutions can address them A positive attitude and tireless work ethic when encountering blockers to success, whether external or internal Strong presentation skills Proven ability to lead complex negotiations involving bespoke commercial agreements Superior verbal and written communication skills Ability to operate in a highly ambiguous and fast-paced environment Strong interest in technology and a deep understanding of the space Experience in or excitement in learning about financial technology infrastructure Fastidious approach to CRM hygiene and experience utilizing thorough sales forecasting metrics on a weekly/quarterly basis and communicating them in a succinct manner
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 We ensure that teams across Product Support Operations and Risk Operations have the knowledge they need to master our products, provide gold standard support, and safeguard both Stripe and our users. We aspire to elevate the way our learners perceive us, positioning ourselves as a critical resource on their journey to growth through quality training that resonates with, and empowers, every individual. What you’ll do As a Training Program Manager within the Technical Enablement team, your role will be to develop training initiatives that enhance the capabilities of our Operations teams, specifically Product Support and Risk Operations. Our team takes pride in refining the Stripe experience for both our users and our global network of support specialists. By owning the strategic direction and execution of training programs, you'll play a crucial role in equipping operations associated with the knowledge and skills necessary for exceptional service delivery. Responsibilities Design learning curricula to help deliver the vision and strategy for the Stripe Operations training program Convert business requirements into comprehensive training curricula and supportive content, tailored to the needs of our teams Ensure the application of adult learning principles and systematic instructional design to create effective learning solutions, including online, classroom, virtual, and blended learning modalities Design assessment methodologies aligned with leading accreditation frameworks and practices Partner with business leaders across Operations to develop relevant training programs in accordance with the strategy you set out Analyze metric data to evaluate high-priority topics that would benefit from the development of new training modules and measure training impact post-launch Efficiently partner with cross-functional stakeholders on high-priority projects and initiatives, adapting swiftly to emerging needs and dedicating focused effort to ensure success Proactively assess and respond to training demands in cases where there may be significant ambiguity or unknowns Harmonize our training efforts across our Stripe Delivery Centers 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 3+ years of experience in driving training or enablement programs with prior instructional design or training exposure Experience designing and developing training materials and content to include online/e-learning modules, instructor-led materials, job aids, online tutorials, multimedia products (video, graphic, audio), and other training materials Experience using data collection, research, and analysis to evaluate project outcomes and improve individual and organizational performance Ability to manage multiple stakeholders with varying priorities and drive creative solutions and commitment to a shared goal Preferred qualifications Experience leveraging learning management systems and/or other content delivery platforms An inquisitive approach to learning about new technologies, with a keen sense in identifying user and agent issues The ability to distill complex information into clear, concise deliverables Experience in identifying recurring issues faced by customers and specialists, and developing scalable training solutions Strong written and verbal communication skills with experience giving presentations
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 is looking for a senior product strategist-operator to join the Strategic Business Performance (SBP) team. SBP is the "connective tissue" of Stripe. You will have a front-row seat to how the company operates and a direct hand in ensuring we hit our most important goals. If you are a technical strategist who loves to move fast and fix high-stakes problems, we’d love to hear from you. SBP is a small, high-leverage group within Central Strategy & Operations at Stripe. Our mission is to create strategic clarity around Stripe’s performance. We work with partner teams to report on the business; dive into it to support and pressure-test our strategy, driving change wherever we find soft spots and enabling the success of other teams. We are looking for someone who connects across data, financials and product & business strategy and can unearth a signal in the noise and either fix the problem directly or convene the right people to fix it fast. What you’ll do In this role, you will work cross-functionally within our group and across Stripe’s technical and user-facing teams to solve problems and design workflows that benefit our users. Specifically: Own the "Signal" : You will define and maintain the metrics that actually matter for in-year performance. You’ll develop a "morning read" discipline—a curated, high-signal view of the business that drives immediate action, moving far beyond standard dashboarding. Deep-Dive Interventions : You will lead "surge" projects to diagnose and unblock critical goals at risk. You aren't just identifying problems; you are staying in the arena until the trajectory has measurably changed. Bridge Product & Strategy : You will translate long-horizon corporate theses into in-year operational reality. You’ll take ambiguous opportunities that cut across product, risk, and marketing and decompose them into structured workstreams. Synthesize for Leadership : You’ll think ahead of our executive team, preparing CEO/COO-level materials that translate unstructured signals into structured diagnoses they can act on. Pressure-test our Assumptions : You’ll work closely with Corporate Strategy and Product teams to identify gaps between our external market forces and our internal execution. 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 12+ years of experience in product/data analytics within product organizations or strategic business performance teams at high-growth tech companies Experience in Product Strategy, Product Management, or GM-style roles where you owned a P&L or a specific business outcome Deeply curious about business models and data, probing into signals, understanding trends and customer usage patterns to uncover novel insights A proven track record of directly driving business growth through analytical insights and execution Apply AI to enhance decision-making and operational efficiency, know when and how to use the right AI tools to move faster without sacrificing rigor or quality Strong product sense and the ability to understand the technical mechanics of how software products are built and scaled Experience navigating ambiguous, cross-functional problems and leading high-stakes interventions with senior stakeholders Prior experience with fintech products or complex financial systems is a plus, but not required Experience facilitating senior leadership/ stakeholder meetings to drive meaningful conversations regarding Stripe’s business performance Preferred qualifications Payments ecosystem, or experience in finance or fintech is a plus Ability to build trust and partner with senior leaders and CXOs Technical proficiency in SQL / Python / R and data analysis; ability to self-serve and perform independent deep-dives into complex datasets Experience driving creative solutions with and effectively informing the roadmap of cross-functional teams Ability to understand the implications of Stripe ships such as product features, policy changes, and marketing outreach on the user experience and resulting support experience