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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 The Finance and Strategy team is an integral thought partner to Stripe's core functional leaders. We bring understanding and predictability to Stripe's bottom line financials. We work cross-functionally across many surfaces at Stripe and help steward Stripe's resource investments to improve the durability of our long term financial performance. What you'll do We're looking for a Finance and Strategy Partner to join our growing team. You'll help with forecasting, budgeting, and reporting for various departments accurately and in a timely manner and deliver improvements in our integrated financial systems with business partners, financial colleagues, and engineers. Responsibilities Partner closely with business leaders to support and influence key strategic and business decisions, serving as their financial partner for analysis and evaluation of strategic projects and initiatives (e.g., foundational investments or business model shifts) Design and provide analytical rigor to measure efficiency and ROI of investments in headcount and non-headcount expenses Drive reporting, process, and discipline for finance routines to shape and influence decision-making (e.g., budget, forecast, monthly reviews, and long-range plans) Build and own models for in-depth analyses, ensuring their quality, timeliness, and accuracy Define metrics, leading indicators, and reporting dashboards in partnership with cross-functional teams such as Data Science Drive continuous process improvement, standardization, simplification, and reporting enhancements 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 7–9 years of relevant experience in strategic finance or FP&A, including experience building integrated models and executing on finance processes such as budgeting, forecasting, and negotiations B.A. or B.S degree in related field Proficiency in SQL and experience working with and analyzing large data sets, as well as strong working knowledge of GSuite, Salesforce, and MS-Office products Excellent problem-solving skills and demonstrated ability to independently analyze complex problems and data, with a track record of producing results on challenging projects Strong communication skills and a proven ability to build relationships with and influence business partners and cross-functional stakeholders A self-starter with a hands-on mindset, able to bring structure to ambiguous areas, thrive in fast-moving environments, and maintain high performance under tight timelines Preferred qualifications Experience working at a high-growth technology or financial services company Experience managing headcount and operating expenses Experience supporting Go-to-Market, Money Management, and Corporate Finance Oracle, Anaplan, Tableau, or other equivalent application experience Experience with Python or a willingness to learn Experience in data visualization and dashboarding
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our Partnerships business: deal registration, partner attribution, co-sell, and cloud marketplace operations. You'll work both autonomously and collaboratively across Revenue Operations, Partnerships, and Finance to translate partner-channel requirements into scalable Apex, Flow, and integration solutions. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale. Key responsibilities Design and build Partnerships infrastructure in Salesforce, including deal registration workflows, channel-conflict detection, partner attribution, and partner account hierarchy Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework Build and own integrations between Salesforce and partner-ecosystem systems such as cloud marketplaces (AWS, GCP, Azure), PRM tools, and middleware Configure partner-facing portals with appropriate sharing, visibility, and license-model design Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow Partner with Revenue Operations analysts to ensure data-model decisions support downstream partner performance reporting Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale Minimum qualifications Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org Experience building or maintaining partner/channel functionality in Salesforce: deal registration, partner portals, attribution models, or co-sell opportunity management Experience integrating Salesforce with external platforms via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output Basic SQL skills and comfort working alongside a data warehouse Effective communication with sales, partnerships, finance, and engineering stakeholders Preferred qualifications Salesforce Platform Developer I and II certifications Advanced Administrator or Application/System Architect certification Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control Cloud-marketplace integration experience (AWS, GCP, Azure) Familiarity with partner-specific integration platforms such as Workspan Proven experience scaling Salesforce in a high-growth GTM environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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 Capital team is responsible for managing the end-to-end risk strategy for Stripe's lending product. The team is based in the US and Canada, and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe. We partner closely with Stripe's engineering, data science, product, and servicing teams to leverage existing platforms, integrate industry best practices, and develop novel solutions to evaluate and manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of Stripe, we encourage you to apply. What you’ll do As a key member of the Capital team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data. We are a small and lean team, which means you will have the autonomy and the responsibility to manage end-to-end risk initiatives. Responsibilities Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products. Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions. Collaborate with cross-functional teams, such as Product, Data Science, Engineering, and Capital Markets to shape new product development across different geographies and industries. Incorporate third-party data, including bureau, bank account, financial statements, and less traditional data, into our credit assessment. Analyze account activity and monitor portfolio trends to identify opportunities for Stripe to reduce potential credit losses. Help scale risk processes by working with partners to design and optimize outsourced workflows. 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 5+ years of experience in credit analysis and underwriting. Bachelor's degree in finance, economics, statistics, or a related field. Experience in risk management, financial lending, or core credit risk management function. Strong analytical skills and a rigorous, data-driven approach to problem-solving. Experience working with both internal and external stakeholders and the ability to closely. manage expectations and deliverables in a timely manner. Ability to thrive in an unstructured and fast-moving organization. Strong technical expertise, including SQL, excel, google sheets. Self-starter who can work independently. Preferred qualifications Experience with quantitative tools such as Python, R, or Stata. Master's degree in finance, economics, statistics, or a related field. Superior communication and relationship management skills. Experience with credit scoring models. Experience working with machine learning teams. Ability to communicate results clearly with a focus on driving impact.
Note: if you are an intern, new grad, staff, frontend or fullstack applicant, please do not apply using this link and visit our jobs page for those specific postings. 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 Organization Payments and Risk Sub-orgs within Payments and Risk: Link and OCS, Payments Acceptance, Risk The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. Optimized Checkout and Link teams work to create best-in-class checkout experiences that enhance customer satisfaction and drive merchant conversion rates. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe’s brand and financial stability. Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you’ll do We’re looking for Backend engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams – from Infrastructure to Product – at Stripe to deliver innovative solutions that address evolving user needs. Responsibilities Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests Debug and solve critical production issues across services and multiple levels of the stack Mentor engineers to help them grow Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues 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 2-12+ years of industry software engineering experience (does not include internships nor includes co-ops) Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic) Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users Preferred Qualifications Experience with large-scale financial tracking systems Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.)
Note: if you are an intern, new grad, staff, frontend or fullstack applicant, please do not apply using this link and visit our jobs page for those specific postings. 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 Organization Payments and Risk Sub-orgs: Link and OCS, Payments Acceptance, Risk The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. Optimized Checkout and Link teams work to create best-in-class checkout experiences that enhance customer satisfaction and drive merchant conversion rates. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe's brand and financial stability. Team Matching: Exact team matching for one of the sub-teams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. What you'll do We're looking for backend engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. Our team collaborates with many cross-functional teams — from Infrastructure to Product — to deliver innovative solutions that address evolving user needs. Responsibilities Design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests Debug and solve critical production issues across services and multiple levels of the stack Mentor engineers to help them grow Collaborate with stakeholders across the company to build new features at large scale, while improving internal engineering standards, tooling, and processes Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues 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 2+ years of industry software engineering experience (does not include internships or co-ops) Strong coding skills in any programming language (we understand new languages can be learned on the job, so our interview process is language agnostic) Strong collaboration skills; can work across workstreams within your team and contribute to your peers' success Ability to thrive with a high degree of autonomy and ownership, with an entrepreneurial mindset Interested in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users Preferred qualifications Experience with large-scale financial tracking systems Good understanding and practical knowledge of cloud-based services (e.g., gRPC, GraphQL, Docker/Kubernetes, AWS, etc.)
Engineering Manager, Machine Learning Credit Risk 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 Credit Risk team develops intelligent systems that help Stripe identify high-risk accounts, minimize credit losses, and improve profitability. Credit risk is a complex machine learning problem that requires us to distinguish emerging risk from healthy business activity while giving legitimate users a clear and reliable experience. Our team consists of machine learning engineers who build models and systems used across Stripe’s credit-risk products. We work closely with partners in Product, Data Science, Credit Strategy, Operations, and other engineering teams. Together, we help stakeholders make informed decisions and support sustainable growth wherever credit risk affects Stripe’s products. What you’ll do We’re looking for an engineering manager to lead the Credit Risk team and shape how Stripe uses machine learning to manage credit risk at scale. You’ll set the team’s technical and product direction, connect advances in machine learning to measurable business outcomes, and help engineers deliver reliable systems that balance loss prevention with the user experience. You’ll work across engineering, product, data science, and risk to identify the highest-impact opportunities and turn them into a focused roadmap. You’ll also hire and develop engineers, strengthen the team’s technical practices, and contribute to machine learning and engineering leadership across Stripe. Responsibilities Set and execute the strategy for detecting and mitigating credit risk through machine learning Own outcomes related to credit losses, profitability, detection quality, and the user experience Lead the design and delivery of reliable machine learning models, services, and decision systems Translate advances in machine learning into practical capabilities that support the team’s business goals Partner with Product, Data Science, Credit Strategy, Operations, and engineering teams to define priorities and deliver cross-functional programs Recruit, hire, and develop machine learning engineers while building an inclusive and effective team Contribute to broader engineering and machine learning initiatives as a member of Stripe’s engineering management 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. Minimum requirements 3+ years of experience managing engineers who build and operate production machine learning systems Experience applying machine learning to complex, real-world problems and leading the technical delivery of models and supporting systems Experience setting strategy and working across engineering, product, data science, operations, and business teams to deliver measurable outcomes Experience recruiting, managing, and developing engineers in a fast-moving environment with significant autonomy Preferred qualifications Experience with credit risk, fraud detection, financial risk, trust and safety, or another domain involving decisions under uncertainty Experience balancing risk reduction with customer or user experience Experience building machine learning systems that support high-stakes, time-sensitive decisions at scale Experience setting a multi-year technical direction while delivering progress through quarterly plans Experience managing geographically distributed teams
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’s Financial Systems organization partners with Stripe’s People organization to build trusted, intuitive products for employees, managers, and People professionals. We aim to make routine interactions simple and self-service while ensuring that work requiring judgment or care reaches the right person with the right context. Our products connect data, knowledge, workflows, and systems that span the employee experience. We are building toward a future in which employees and managers can get accurate answers and complete common tasks without navigating fragmented tools, while People teams can spend more time on the work that benefits most from What you’ll do You will own products that make it easier for employees to get accurate guidance and complete common People-related tasks, while helping People team focus their expertise on work that requires judgment and care. You will identify the highest-impact user problems, define the product strategy and roadmap, and lead products from discovery through delivery, adoption, and iteration. This is an opportunity to shape a growing product area at the intersection of employee experience, enterprise systems, data, and applied AI. You will help develop agentic products that connect people to accurate guidance, automate appropriate actions, and help People practitioners focus their expertise where it matters most. Success requires understanding the capabilities and limitations of AI and machine learning when applied to business-critical, regulated, and strictly governed problems. You will also use AI-enabled tools throughout the product development lifecycle to accelerate discovery, prototyping, requirements development, evaluation, and iteration while protecting employee trust. Responsibilities Develop a deep understanding of employees, managers, and People practitioners, then translate their most important needs into a focused product roadmap Own products end to end, from problem discovery and strategy through delivery, adoption, measurement, and iteration Design coherent experiences that connect fragmented data, knowledge, workflows, and systems Partner closely with the People org, engineering, data, security, legal, and others to make sound product and architecture tradeoffs Define measures to understand adoption, engagement, and impact for products and develop insights into the metrics to guide improvements to the product Develop agentic People products and define where systems may recommend, act, escalate, or defer to accountable human judgment Use AI-enabled tools throughout product development and help establish effective practices for AI-assisted discovery, prototyping, specification, testing, and iteration Lead adoption and establish sustainable ownership and support for products that change established ways of working 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 5+ years of product management or equivalent experience leading the development of software products for internal or external users Experience independently navigating ambiguity, identifying the underlying user problem, and converting broad strategies into focused product roadmaps Experience shipping products that connect workflows, data, and multiple systems or teams Practical understanding of AI and machine-learning product development beyond using LLM-based tools, including model capabilities, data requirements, evaluation methods, failure modes, privacy considerations, and the tradeoffs between probabilistic, deterministic, and human-led approaches Experience using AI-enabled tools to improve the quality and speed of product discovery, prototyping, delivery, or evaluation Demonstrated ability to lead across functions and build alignment among stakeholders with different expertise, incentives, and responsibilities Experience designing products where user trust, privacy, permissions, or other sensitive requirements are central to the product experience Preferred qualifications Experience with employee products, human-resources technology, People operations, enterprise workflow, or manager-facing tools Experience building governed data products, self-service experiences, or role-aware applications Experience shipping agentic or AI/ML-powered products for People or another trust-sensitive domain, with appropriate evaluation, privacy safeguards, escalation, and human accountability Experience leading adoption and organizational change for products that replace established manual processes
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 Enterprise Hunter team engages with some of the largest and fastest-growing businesses in the world to take advantage of Stripe’s solutions. You'll lead and coach high-performing sales executives dispersed across the US focusing on landing new logos, helping them deliver on ambitious targets, as well as roll up your sleeves to work directly with prospective Stripe customers. What you’ll do Responsibilities Recruit, mentor, develop, and lead a team of sales professionals while scaling our GTM presence across AMER. Train the team in up-leveling professional skills such as collaborative pipeline generation, consultative and solution-based selling, closing tactics, adoption of MEDDIIC, and serving as a trusted advisor to Stripe Users. Develop both the long-term vision and strategy for the team and manage day-to-day operations. Be accountable for operating net revenue and activation targets to grow Stripe’s revenue. Effectively work cross-functionally across the organization to shape Stripe’s solutions to meet client needs. Inspire, motivate and enable individual development to promote career growth of direct reports. Who you are We are looking for a self-starting leader who is a builder and has demonstrated a track record of target attainment and success dealing with ambiguity, operating in a high-growth environment, and solving complicated problems with limited oversight. Ideal candidates will have management and leadership experience scaling a technology sales team, superior communication skills, and a knack for understanding unique customer needs and deeply technical sales. 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 experience as a proven account executive and/or 5+ years of front line sales management experience within technology, SaaS, banking or payments spaces. Second line management experience is a plus. Experience training, coaching, and scaling a high-performance sales team. Ability to build relationships with strategic clients, industry thought leaders and alliances & channel partners. Experience operating in an early stage, high-growth, technology forward environment. Demonstrated passion for Stripe’s mission. Ability to clearly communicate technical concepts and build great relationships with highly technical customers.
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 Enterprise Grower Sales team engages with some of the largest and fastest-growing businesses in the world to take advantage of Stripe’s solutions. You'll lead and coach high-performing sales executives dispersed across the US who are already working with active users of Stripe, helping them deliver on ambitious targets, as well as roll up your sleeves to work directly with prospective Stripe customers. What you’ll do Responsibilities Recruit, mentor, develop, and lead a team of sales professionals while scaling our GTM presence across AMER. Train the team in up-leveling professional skills such as collaborative pipeline generation, consultative and solution-based selling, closing tactics, adoption of MEDDIIC, and serving as a trusted advisor to Stripe Users. Develop both the long-term vision and strategy for the team and manage day-to-day operations. Be accountable for operating net revenue and activation targets to grow Stripe’s revenue. Effectively work cross-functionally across the organization to shape Stripe’s solutions to meet client needs. Inspire, motivate and enable individual development to promote career growth of direct reports. Who you are We are looking for a self-starting leader who is a builder and has demonstrated a track record of target attainment and success dealing with ambiguity, operating in a high-growth environment, and solving complicated problems with limited oversight. Ideal candidates will have management and leadership experience scaling a technology sales team, superior communication skills, and a knack for understanding unique customer needs and deeply technical sales. 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 experience as a proven account executive and/or 5+ years of front line sales management experience within technology, SaaS, banking or payments spaces. Second line management experience is a plus. Experience training, coaching, and scaling a high-performance sales team. Ability to build relationships with strategic clients, industry thought leaders and alliances & channel partners. Experience operating in an early stage, high-growth, technology forward environment. Demonstrated passion for Stripe’s mission. Ability to clearly communicate technical concepts and build great relationships with highly technical customers. Role Location: Hybrid in our Chicago, IL office.
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's Infrastructure organization builds and operates the shared platforms that make it possible for engineering teams to build, deploy, run, and scale reliable products. The organization owns foundational capabilities across service networking and discovery, safe feature and configuration changes, data storage and orchestration, and batch computing. Our platforms support a global engineering audience and power systems at significant scale. This includes the control plane for secure service-to-service communication across tens of thousands of microservices, service and feature deployment infrastructure that helps teams introduce and recover from changes safely, infrastructure for running Stripe's containerized services, and data platforms for storage, pipeline orchestration, and large-scale processing. Our batch compute platforms support technologies including Apache Airflow, Apache Spark, Apache Iceberg, Apache Hadoop, and Apache Celeborn. As an Engineering Manager, you will lead or strongly influence teams working on business-critical infrastructure with broad internal adoption. You will balance reliability, scalability, security, developer experience, and operational rigor while helping Stripe move quickly with confidence. You will partner closely with product, security, data, support, and adjacent infrastructure leaders to set direction, resolve cross-team dependencies, and turn recurring needs into durable platform capabilities. What you'll do As an Engineering Manager at Stripe, you will operate with full autonomy across a complex, high-impact area of our infrastructure. Your scope extends beyond a single team. You lead or strongly influence multiple engineering teams, execute parallel high-priority workstreams, and develop senior engineering talent. You set direction, align stakeholders, make decisions that hold up over time, and deliver results without close direction. Responsibilities Lead with scope and autonomy by driving impact across multiple teams or a significant infrastructure area independently, translating organizational goals into concrete execution plans, and delivering results across parallel workstreams Define strategy and roadmap for your area, anticipating internal user needs, technical challenges, reliability risks, and business priorities, then communicating a clear plan to your team and senior leadership Develop senior talent by coaching senior engineers and emerging leaders, creating meaningful stretch opportunities, and giving candid feedback that improves individual and team performance Drive cross-functional alignment with product, security, data, support, and adjacent engineering teams, resolving ambiguity at team boundaries and aligning stakeholders around shared priorities Hire and scale the team by attracting, developing, and retaining senior engineering talent while maintaining a high hiring bar and building an inclusive, high-performing organization Operate with rigor by setting high standards for reliability, availability, scalability, incident response, and engineering craft, and by addressing systemic issues that affect internal users across Stripe Partner with Staff engineers on architecture decisions involving distributed systems, service discovery, configuration propagation, production change management, data processing, and internal platform design 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 or equivalent practical experience with 10+ years of software development experience 4+ years of engineering management experience with a demonstrated track record of autonomous impact as an engineering manager Experience leading high-complexity engineering teams that deliver multiple difficult, high-impact workstreams in parallel Proven ability to influence and align cross-functional stakeholders without direct authority, communicating a clear direction that others follow Meaningful recruiting experience, including a track record of attracting and developing senior engineering talent Technical depth sufficient to guide architecture decisions and hold teams to a high standard for product quality, reliability, and engineering craft Preferred qualifications Experience building or operating high-availability distributed systems, internal platforms, or developer infrastructure used by a broad engineering audience Experience with service networking, service discovery, service mesh, feature flags, configuration management, progressive delivery, deployment tooling, or production change governance Experience with data infrastructure, including large-scale storage, data orchestration, batch compute, or processing frameworks such as Apache Airflow, Apache Spark, Apache Iceberg, Apache Hadoop, or Apache Celeborn Experience improving reliability through observability, health checks, incident response, automated recovery, capacity planning, or reducing the impact of production changes Experience designing secure access controls, audit systems, approval workflows, or governance mechanisms for production infrastructure Experience with cloud infrastructure and distributed systems technologies such as Amazon Web Services, DynamoDB, Aurora, S3, Ruby, Go, Java, or Python A product mindset for internal platforms, including empathy for internal users, a focus on self-service, and a commitment to making safe workflows straightforward to adopt In-office expectations Office-assigned Stripes in most locations are expected to spend at least 50% of their time in a given month in their local office or with users. This expectation may vary by role, team, and location. The hiring manager will discuss the expectations for this role during the process.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Manager, Customer Success – Commercial, you'll lead the Customer Success Managers who cover our Commercial accounts: high-growth mid-market technology companies (including cybersecurity and fintech), mid-market organizations in industries such as financial services, healthcare, legal and professional services, private equity-backed portfolio companies, and a high-volume SMB book, all building on Claude across API, Claude Code, Cowork and other surfaces. You'll directly coach and develop a team of ~5 CSMs, develop scalable motions to support the broader portfolio, while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across commercial accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization. Responsibilities: Directly manage and develop a team of ~5 Customer Success Managers supporting strategic mid-market, PE-backed and SMB accounts across all Anthropic products (API, Claude Cowork, Claude Code) Build scalable and agentic success strategies and motions to accelerate consumption, expansion and value realization across the whole commercial portfolio Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT) Join strategic customer engagements and escalations, demonstrating executive presence with founders, C-level and functional leaders at high-growth mid-market and PE-backed companies Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks Partner closely with Sales and Applied AI to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise Conduct regular 1:1s, performance reviews, and career development planning for direct reports Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio Develop customer advocacy programs including case studies, testimonials, and reference architecture development Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions You may be a good fit if you have: 7+ years of experience in customer success, account management, or customer-facing roles, with 3+ years of front-line management experience Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies Experience managing large customer portfolios at commercial scale (mid-market, SMB and PE-backed companies), including a high volume of accounts ranging from ~$100K to $10M+ in annual spend Strong understanding of consumption-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings Strong executive presence and ability to represent Anthropic with customer technical and business leaders Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs Track record of achieving team targets for expansion, retention and customer satisfaction Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We're looking for a Design Engineer with strong visual taste to help drive our creative initiatives across web and brand. When it comes to design and code, we’re looking to work with experienced people who can pick up any problem and solve it. For us, it’s both how it works and how it looks. At its core, Linear is a developer tool where speed, interactions, and small details matter. We expect a broad set of design skills and the ability to create high-quality designs, interactions, and prototypes. In this role, you will help communicate Linear's story—what we're building and why it matters—as part of our internal creative agency: the Magic Team. What you'll do You will be responsible for building complex and interactive UI web/app experiences Build beautiful, responsive websites, landing pages, and internal tools Implement creative animations and interactions in code Explore visual design in Figma and translate it to web-native experiences What we're looking for Eye for good design Strong frontend engineering skills Experience building end-to-end websites and landing pages Experience with React and TypeScript Experience using agentic coding tools as part of the design process (from exploring ideas to building production-quality interactions) A portfolio or Twitter profile showcasing a range of technical skills, a creative use of code, and prototyping skills What we offer Interesting and challenging work Work life balance Competitive salary and equity Employee-friendly equity terms (extended exercise) Paid lunch and coffee during work days Work remotely, no commuting to the office Paid co-working space/desk at an office Regular team events and offsites 5 weeks paid vacation 4 months paid parental leave Learn how we think and work Part I and Part II of how we redesigned the Linear UI Read me a story about our mission Why and how we do work trials Linear blog post How we use AI in design feature of Linear's design team Crafting quality that endures Config keynote by our Co-founder & CEO, Karri Saarinen Building for quality: Our Investment in Linear Accel Series B blog post