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About us: Airtm is a financial-infrastructure company building the future of the online-work economy. We are on a mission to empower the world's growing number of Digital Entrepreneurs in the Global South, giving them the financial freedom to thrive. The problem is clear: in emerging markets, accessing the dollar economy is difficult. Cross-border payments are slow, expensive, and often lose value to inflation. This limits the potential of millions of talented individuals. Airtm's solution is a swift and comprehensive financial platform that facilitates low-value cross-border payments and local cash-outs. As pioneers in stablecoin-payment infrastructure, Airtm has built the most advanced cross-border payment system available on the market. As a company married to the world of online work, Airtm will go beyond payments to build the necessary infrastructure the online-work economy needs to thrive. We are fostering an entirely new economy, giving individuals, communities, and countries the tools to take control of their financial destinies. About the Role: The Senior QA Engineer is responsible for ensuring the quality and reliability of the company's software products. This role involves close collaboration with product and engineering teams to define clear acceptance criteria, develop and execute comprehensive test strategies, and build robust automated testing frameworks for a modern web application and its backend services. The engineer plays a critical role in maintaining high standards for product releases and improving the overall quality assurance process, while actively pioneering the integration of AI and LLM tools into the testing lifecycle. What you'll be responsible for, the QA engineer: - Analyzes product specifications to derive comprehensive and testable acceptance criteria. Collaborates with product managers and developers to clarify requirements and identify potential edge cases. Designs, implements, and maintains a robust suite of automated tests, including end-to-end, integration, and regression tests. Performs manual testing for complex or new features prior to the establishment of full automation coverage. Monitors, analyzes, and improves test coverage, reliability, and performance over time. Contributes to the continuous integration and continuous deployment (CI/CD) process by integrating automated tests into the deployment pipeline. Enhances overall product quality by creating detailed bug reports, providing constructive feedback, and maintaining clear testing documentation. Designs and deploys AI-assisted testing workflows to automate recurring tasks such as test case generation, test data synthesis, and log analysis. Evaluates and integrates LLM-based testing and coding tools into the QA team's workflow, assessing their reliability, accuracy, and fitness for automated testing and edge-case discovery use cases. Experience and skills required: - Proven experience as a Senior QA Engineer (5+ Years of experience) or similar role, specifically testing modern web applications and backend services. Strong proficiency with test automation frameworks such as Cypress, Playwright, or similar tools. Deep understanding of backend services, APIs (REST and GraphQL), and their common failure scenarios. Ability to read and comprehend frontend and backend code to assist in debugging and test creation. Familiarity with version control systems (Git) and CI/CD tools and processes. Hands-on experience with AI agent frameworks (e.g., LangChain, LlamaIndex, CrewAI, or similar) and demonstrated ability to build, deploy, or thoroughly validate agent-assisted testing systems in a near-production context. Proactive and highly detail-oriented mindset. Advanced proficiency in the English language. Applicants must be based in South, North or Central America (applications from other locations will not be considered). This is a fully remote role , reporting to our Tech Lead. Compensation Additional Information

About Flex Flex is building the AI-native private bank for super premium, closely held business owners. We are re-architecting the entire financial system for entrepreneurs. From the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, financial operations, all rebuilt from the ground up as a single intelligent system. Since launching publicly in September 2023, we have scaled from zero to nine-figure annualized revenue with a clear path to profitability by late 2026. We move fast, ship relentlessly, and operate with extreme ownership. Our customers are affluent business owners with $3M to $200M in revenue. The backbone of the economy and one of the most underserved segments in finance. We are replacing the outdated banks and fragmented tools they are stuck with. The opportunity is a roughly $1T+ revenue market hiding in plain sight. We are building toward $100B+ in enterprise value by delivering a product that is fundamentally better, not incrementally improved. Flex has raised $100M+ in equity and $300M+ in debt. What we hold ourselves to: mission-critical problems, high bar low ego, speed over comfort, enduring impact. Locations: Remote. Open to candidates in Canada, Mexico, the United States, Brazil, and Colombia. The Role You will build Flex's payments infrastructure. You will lead our vendor strategy across acquiring, international money movement, and partner banks. You will architect how Flex orchestrates multiple payment providers across bank partners, processors, and international rails into a single elegant customer experience. And you will be the product partner on our transition from operating on partner licenses to operating on our own money transmitter licenses, which is a foundational shift in how Flex works. This seat requires someone who can hold a serious technical conversation with a Tier 1 bank, who has personally implemented payment rails at meaningful scale, and who can translate vendor selection into clear product decisions. The candidate we want has lived through at least one major payments transition (processor change, license expansion, or rails buildout) and knows what to watch for. You do not need to be a lawyer. You do need to understand what the operational shift into a forward thinking strategy around money movement means, and be able to communicate the now program, the in-between, and the future program clearly to the rest of the company. What you will do Own major Tier 1 bank partner implementations and the broader bank partner strategy. Architect the multi-provider payments stack across acquiring, international money movement, and partner banks. Tomorrow it means more rails, more corridors, more direct integrations. Lead vendor selection across new payment rails as Flex scales domestically and internationally. Partner to deliver our MTL acquisition process. Own the product implications of the partner-licensed-to-directly-licensed transition. Translate the operational change for the rest of the company. Build the framework for international money movement across multiple corridors. Pair payment providers thoughtfully so the customer experience is elegant and the vendor risk is balanced. Represent Flex in technical and commercial negotiations with the largest financial institutions in the world. Partner with engineering on the implementation cadence. We have a small but growing payments pod and you will help us scale it as the surface area grows. What you will need 4 to 9+ years of payments-specific product experience. Ready to build a function from the ground up. You have personally owned vendor relationships and technical implementations with top-tier payment providers. You know the difference between what a vendor sells and what they actually deliver. Money transmitter licensing transition experience is strongly preferred. If you have lived through a company going from partner-licensed to directly licensed, we want to talk to you. If you have not, the right candidate can still close on this gap. We can teach the MTL specifics. We cannot teach the judgment. You can hold a technical conversation about ACH, wire, card rails, real-time payments, and cross-border money movement without needing translation. You have negotiated with at least one Tier 1 bank or payment network and can walk us through what you learned. Nice to have Direct experience working with or alongside any of the following will help you ramp faster. None of these are required. The more of them you have touched, the more productive you will be on day one. Tier 1 bank partners. JPMorgan Chase, Goldman Sachs, Wells Fargo, Citi, or comparable institutions on a real fintech partnership. Card processors and issuing platforms. Marqeta, Lithic, Stripe Issuing, Adyen Issuing, Galileo, Highnote, Checkout.com. Cross-border rails and international money movement. Airwallex, Wise, Nium, Currencycloud, Remitly, WorldRemit. Bank infrastructure and BaaS platforms. Unit, Modern Treasury, Increase, Treasury Prime, Column, Lead, Synctera. Compensation Additional Information

Flex is building the AI-native private bank for business owners . We're re-architecting the entire financial system for entrepreneurs—from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations—rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners. Since launching publicly in September 2023 , Flex has scaled from zero to nine-figure annualized revenue , with a clear path to profitability by late 2026 . We move fast, ship relentlessly, and operate with extreme ownership. Our customers are affluent business owners ($3–$200M in revenue) —the backbone of the economy and one of the most underserved segments in finance. They're stuck with outdated banks and fragmented tools. We're replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a $100B+ company by delivering a product that is fundamentally better—not incrementally improved. Flex has raised $100M+ in equity and $300M+ in debt. - Mission-critical problems : We build software that directly controls how money moves at scale. - High bar, low ego : Small teams, exceptional people, real ownership. - Speed over comfort : We prioritize execution, quality, clarity, and results. - Enduring impact : What we're building will define how a generation of owners runs their businesses. Team & Locations We hire exceptional people who want to build hard things and see their work matter immediately. Roles are available in: San Francisco, Miami, New York, and fully remote. Flex Fuels Ambition. About the Role We are seeking an energetic and intellectually curious Analytics professional with domain expertise in credit analytics and a strong grasp of financial data interpretation. The ideal candidate will be comfortable working with varied datasets to derive insights for both credit underwriting and ongoing portfolio management. This role will play a critical part in improving credit decisions, monitoring customer behavior, and informing risk management and product strategy. What You'll Do New Account Evaluation Analyze new applicant data to support automated and manual credit decisioning. Work with data extracted from business financial statements, tax documents, and banking integrations (e.g., Quickbooks, Netsuite, Plaid, etc). Leverage insights from adjacent product usage (e.g., business banking, payments platforms) to evaluate risk profiles. Build dashboards or tools to surface real-time indicators for underwriting and fraud detection. Existing Account Management Monitor account-level behavior post-origination, including spend and payment patterns, credit utilization, and engagement. Identify signs of weakening creditworthiness using internal data and third-party credit reports (e.g., Experian, D&B). Track and analyze delinquency trends and payment consistency to refine risk models and collections strategies. Develop behavioral segments and performance cohorts for proactive account management. Credit Product P&L Understanding Support P&L analysis of the unsecured credit card product, including interchange income, interest revenue, rewards cost, and charge-off rates. Build models to evaluate customer lifetime value, profitability segmentation, and risk-adjusted returns. Assist in identifying drivers of loss and opportunities for margin improvement. Requirements 5+ years of experience in a data analytics or credit analytics role, preferably within fintech, credit cards, or SMB lending. Fluency in SQL / SAS and comfort with Python or R for exploratory data analysis and automation. Strong understanding of credit underwriting principles and SMB financial analysis. Experience interpreting business financials (P&L, balance sheet, tax returns) and cash flow data from banking sources. Familiarity with credit bureau data and commercial credit reports. Ability to communicate findings clearly and influence cross-functional stakeholders. Compensation Final compensation within this range will be based on experience, qualifications, and interview performance. This position is also eligible for equity compensation. Flex offers medical, dental and vision insurance, paid time off, and a 401(k) plan. Applications will be accepted on an ongoing basis until the position is filled. Additional Information Why Join Us Build something generational — Capture the full lifecycle of money for ambitious business owners. Work on real money, real risk — Payments, credit, and banking at serious scale. Solve hard problems — AI, underwriting, compliance, and global finance from first principles. True ownership — Small teams, high trust, real accountability. Founder-level exposure — Direct access to leadership, customers, and investors. High bar, high taste — Move fast without cutting corners. Elite peers — People here are builders, not tourists. Real upside — Meaningful equity if you help build something big.

Flex is building the AI-native private bank for business owners . We're re-architecting the entire financial system for entrepreneurs—from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations—rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners. Since launching publicly in September 2023 , Flex has scaled from zero to nine-figure annualized revenue , with a clear path to profitability by late 2026 . We move fast, ship relentlessly, and operate with extreme ownership. Our customers are affluent business owners ($3–$200M in revenue) —the backbone of the economy and one of the most underserved segments in finance. They're stuck with outdated banks and fragmented tools. We're replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a $100B+ company by delivering a product that is fundamentally better—not incrementally improved. Flex has raised $100M+ in equity and $300M+ in debt. - Mission-critical problems : We build software that directly controls how money moves at scale. - High bar, low ego : Small teams, exceptional people, real ownership. - Speed over comfort : We prioritize execution, quality, clarity, and results. - Enduring impact : What we're building will define how a generation of owners runs their businesses. Team & Locations We hire exceptional people who want to build hard things and see their work matter immediately. Roles are available in: San Francisco, Miami, New York, and fully remote. Flex Fuels Ambition. About The Role Flex is hiring a General Manager to build and run its construction business. You own the sector end to end: the strategy for winning it, the relationships and partnerships that open it, the product priorities it needs, and the P&L it produces. You build on Flex's platform, balance sheet and teams, and you are responsible for making Flex the primary financial institution for construction. The role is modeled on sector coverage at an investment bank. You decide which relationships matter, which partnerships can move hundreds of owners onto Flex at once, and what the product must deliver to win them. Flex's product, credit, risk and member experience teams execute and service alongside you. The role reports directly to the CEO. Construction is one of the largest and most capital-intensive owner-operated sectors in Flex's range. Contractors, specialty trades, developers and building-products distributors carry long receivable cycles, bonding requirements and heavy equipment and payroll spend, and they decide where to bank on the advice of a small circle of sureties, lenders, associations and software vendors. The General Manager owns that circle. What You'll Do Own the sector P&L. You are accountable for one number: owners in construction banking with Flex and the revenue they generate. You build the model behind it, report against it weekly, and answer for it. Map the sector and cover it. Within 90 days you have identified the 200 people who move construction and have a coverage plan for each. From then on, that is where your time goes. Originate. Bring owners and firms to Flex directly, through dinners, site visits, conferences, portfolio days and referrals. You represent Flex in your sector and you are expected to be present in it. Structure the partnerships that move the sector. A surety or construction-lender referral program. A trade association. A franchisor or buying group. A construction ERP integration. A sponsor rolling Flex across a portfolio of contractors. You identify them, negotiate them, and own the relationship after signature. Set the product agenda for your sector. You tell product leadership what owners require before they will move their primary banking relationship, in what order, and why. Build the team as the book grows. You begin with Flex's account executives, account managers and member experience team supporting you. When the pipeline exceeds what one person can cover, you hire and lead your own sector team. Work AI-native. Research, relationship tracking, outreach and modeling run on tools you build or adopt, so your time goes to relationships. Requirements 7 to 12 years in investment banking, private credit, private equity, venture, or a senior commercial seat inside construction. You have a demonstrable record of originating business, not servicing it. An active network in construction. You can name the 50 people who matter and most of them would take your call this week. Fluent in how contractors are paid and where their capital gets tied up: margins, working capital, pay applications, retainage, bonding, and who lends against each. Comfortable structuring partnerships, negotiating referral economics, and working through a term sheet without support. You build your own models. Banker-level Excel and a working understanding of the unit economics of deposits, cards and credit. Nice To Haves Experience in fintech, banking or lending, or selling a financial product to business owners. A standing in construction: a podcast, a newsletter, a conference stage, or a board seat at a trade body. Investing, advisory or operating experience in a company in construction. How To Prepare As part of the application, please be prepared to submit a one-pager along with your CV on how you would bring construction to Flex. It should cover: The sector and its owners. Who they are, how many of them fall in Flex's range, how they make money and where their capital gets tied up. What they need from a bank. The products and terms that would make owners in the sector move their primary relationship, and in what order. The map. The 20 to 30 people and institutions that move the sector, and how many of them you know personally The first three partnerships. The programs that would put hundreds of owners on Flex at once, and why each counterparty would say yes. The investment and the return. A light P&L for the sector: what Flex would need to put in over the first two years (people, product, partnership economics, marketing) and how that investment comes back, in the form of owners banking with Flex and the revenue they produce. We are looking for the shape of the business and the logic behind it. The plan and the team. How you will build this out and you will need to do it. Treat it as a coverage pitch. Bring the map, the partnerships and the economics, and be ready to defend each one. Compensation Compensation follows the coverage-banking model: a base that allows you to build the book without pressure to pursue the wrong relationships, and variable tied to what your sector produces for Flex, with no ceiling. Base salary. $275,000 to $325,000, adjusted for location and experience. Variable. Targeted at 100% of base. Paid on the revenue your sector generates, including owners sourced through your partnerships. Equity. Eligible for equity compensation First year. A guaranteed variable component while the book is built, agreed at offer. Final compensation within this range will be based on experience, qualifications, and interview performance. This position is also eligible for equity compensation. Flex offers medical, dental and vision insurance, paid time off, and a 401(k) plan. Applications will be accepted on an ongoing basis until the position is filled. Additional Information Why Join Us Build something generational — Capture the full lifecycle of money for ambitious business owners. Work on real money, real risk — Payments, credit, and banking at serious scale. Solve hard problems — AI, underwriting, compliance, and global finance from first principles. True ownership — Small teams, high trust, real accountability. Founder-level exposure — Direct access to leadership, customers, and investors. High bar, high taste — Move fast without cutting corners. Elite peers — People here are builders, not tourists. Real upside — Meaningful equity if you help build something big.

Flex is building the AI-native private bank for business owners . We're re-architecting the entire financial system for entrepreneurs—from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations—rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners. Since launching publicly in September 2023 , Flex has scaled from zero to nine-figure annualized revenue , with a clear path to profitability by late 2026 . We move fast, ship relentlessly, and operate with extreme ownership. Our customers are affluent business owners ($3–$200M in revenue) —the backbone of the economy and one of the most underserved segments in finance. They're stuck with outdated banks and fragmented tools. We're replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a $100B+ company by delivering a product that is fundamentally better—not incrementally improved. Flex has raised $100M+ in equity and $300M+ in debt. - Mission-critical problems : We build software that directly controls how money moves at scale. - High bar, low ego : Small teams, exceptional people, real ownership. - Speed over comfort : We prioritize execution, quality, clarity, and results. - Enduring impact : What we're building will define how a generation of owners runs their businesses. Team & Locations We hire exceptional people who want to build hard things and see their work matter immediately. Roles are available in: San Francisco, Miami, New York, and fully remote. Flex Fuels Ambition. The Role We are looking for product owners who are excited to be part of our early story and help us build a category leading company. You will learn quickly, reflect on "the way the world should work", own outcomes, and drive the creation of financial products and experiences to help our customers reach their full potential. You should have a strong sense of ownership and enjoy taking projects from inception to release. As an early employee, you'll be working with a nimble team of committed and talented employees and having a large, long-term impact on Flex products and culture. We are open to candidates from Canada, Mexico, the United States, Brazil and Colombia. What you'll do Develop and own Flex's "Growth engine" across "Infinite wedges". Flex acquires customers in many unique ways that meet business owners where they are. We build software to make these experiences extremely unique. You'll own our growth - end to end - for the full "multi-product" experience. Drive the enhancement of financial services and products, including mobile apps, online account management tools, and virtual payment solutions. Continuously improve the user experience and add features to meet changing customer needs. Collaborate with internal stakeholders to identify opportunities within the organization's operational processes. Develop internal financial solutions, such as automated reporting tools, data analytics platforms, and workflow optimization systems, to increase efficiency and streamline operations. Work closely with compliance and legal to ensure that all products adhere to relevant financial regulations and industry standards. Mitigate potential risks through robust product design and implementation. Stay up-to-date with changes in industry regulations and security protocols. Conduct user research and market analysis to understand customer preferences, pain points, and emerging trends. Utilize these insights to inform product development decisions. Partner with engineering throughout the development lifecycle. Provide clear and detailed product requirements, prioritize features, and ensure the timely delivery of high-quality solutions. Implement necessary measures to safeguard customer data and ensure compliance with relevant laws. Utilize data analytics and performance metrics to assess product performance, identify areas for improvement, and make data-driven decisions to optimize products. Work closely with customer support teams to address customer inquiries, feedback, and issues related to products. Continuously strive to improve customer satisfaction and retention. Develop and communicate a clear product roadmap and strategy. Align the product vision with the Flex's overall objectives. What you'll need Can run sprints. Extremely high trajectory and horsepower. Flex is a place for people who want to own outcomes. Proven experience as a Product Owner or similar role at a startup with a focus on financial products. We bring SaaS platform principles to traditional FinTech. Solid knowledge of credit risk assessment, lending processes, and banking operations a nice to have. Familiarity with compliance standards, regulations, and security protocols relevant to the credit and banking sectors a nice to have. Willingness to become an expert is a must. Excellent communication, translation, collaboration, and stakeholder management skills. Analytical mindset with the ability to leverage data and market insights to inform product decisions. Proficiency in using product management tools and platforms to manage the product backlog and track progress. Passion for innovation, customer-centricity, and continuous improvement in product development. What we offer A visionary founding team with elite backgrounds and substantial industry experience. A substantial Series B round, providing ample growth and opportunities. You're still an early employee. Today is still day 1. A culture that supports remote work and values connection through semi-annual offsites. Support from leading Silicon Valley venture capitalists and industry insiders. An attractive compensation package, including comprehensive benefits and perks. Compensation Additional Information Interested? We'd love to hear from you At Flex, we value passion, determination, and honesty. Even if you don't fully match the job specifics, we encourage you to apply. Unusual career paths and unique skills can help you stand out. We believe diversity drives our success. Why Join Us Build something generational — Capture the full lifecycle of money for ambitious business owners. Work on real money, real risk — Payments, credit, and banking at serious scale. Solve hard problems — AI, underwriting, compliance, and global finance from first principles. True ownership — Small teams, high trust, real accountability. Founder-level exposure — Direct access to leadership, customers, and investors. High bar, high taste — Move fast without cutting corners. Elite peers — People here are builders, not tourists. Real upside — Meaningful equity if you help build something big.

Flex is building the AI-native private bank for business owners . We're re-architecting the entire financial system for entrepreneurs—from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations—rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners. Since launching publicly in September 2023 , Flex has scaled from zero to nine-figure annualized revenue , with a clear path to profitability by late 2026 . We move fast, ship relentlessly, and operate with extreme ownership. Our customers are affluent business owners ($3–$200M in revenue) —the backbone of the economy and one of the most underserved segments in finance. They're stuck with outdated banks and fragmented tools. We're replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a $100B+ company by delivering a product that is fundamentally better—not incrementally improved. Flex has raised $100M+ in equity and $300M+ in debt. - Mission-critical problems : We build software that directly controls how money moves at scale. - High bar, low ego : Small teams, exceptional people, real ownership. - Speed over comfort : We prioritize execution, quality, clarity, and results. - Enduring impact : What we're building will define how a generation of owners runs their businesses. Team & Locations We hire exceptional people who want to build hard things and see their work matter immediately. Roles are available in: San Francisco, Miami, New York, and fully remote. Flex Fuels Ambition. About The Role Flex is hiring a General Manager to build and run its venture and private equity business. You own the sector end to end: the strategy for winning it, the relationships and partnerships that open it, the product priorities it needs, and the P&L it produces. You build on Flex's platform, balance sheet and teams, and you are responsible for making Flex the primary financial institution for venture and private equity. The role is modeled on sector coverage at an investment bank. You decide which relationships matter, which partnerships can move hundreds of owners onto Flex at once, and what the product must deliver to win them. Flex's product, credit, risk and member experience teams execute and service alongside you. The role reports directly to the CEO. Funds are the most efficient path to hundreds of owners at once. A sponsor that standardizes its portfolio on Flex, or a venture firm whose founders bank with Flex from their first wire, delivers in one decision what would otherwise take a hundred. The decision sits with general partners, fund CFOs, operating partners, fund administrators and fund-finance lenders. The General Manager owns those relationships. What You'll Do 7 to 12 years in investment banking, private credit, private equity, venture, or a senior commercial seat inside venture and private equity. You have a demonstrable record of originating business, not servicing it. An active network in venture and private equity. You can name the 50 people who matter and most of them would take your call this week. Fluent in how funds and their portfolio companies move money: capital calls and distributions, portfolio treasury and credit, operating-partner priorities, and what a portfolio CFO requires to move a banking relationship. Comfortable structuring partnerships, negotiating referral economics, and working through a term sheet without support. You build your own models. Banker-level Excel and a working understanding of the unit economics of deposits, cards and credit. Requirements 7 to 12 years in investment banking, private credit, private equity, venture, or a senior commercial seat inside construction. You have a demonstrable record of originating business, not servicing it. An active network in construction. You can name the 50 people who matter and most of them would take your call this week. Fluent in how contractors are paid and where their capital gets tied up: margins, working capital, pay applications, retainage, bonding, and who lends against each. Comfortable structuring partnerships, negotiating referral economics, and working through a term sheet without support. You build your own models. Banker-level Excel and a working understanding of the unit economics of deposits, cards and credit. Nice To Haves Experience in fintech, banking or lending, or selling a financial product to business owners. A standing in venture and private equity: a podcast, a newsletter, a conference stage, or a board seat at a trade body. Investing, advisory or operating experience in a company in venture and private equity. How To Prepare As part of the application, please be prepared to submit a one-pager along with your CV on how you would bring venture and private equity to Flex. It should cover: The sector and its owners. Who they are, how many of them fall in Flex's range, how they make money and where their capital gets tied up. What they need from a bank. The products and terms that would make owners in the sector move their primary relationship, and in what order. The map. The 20 to 30 people and institutions that move the sector, and how many of them you know personally. The first three partnerships. The programs that would put hundreds of owners on Flex at once, and why each counterparty would say yes. The investment and the return. A light P&L for the sector: what Flex would need to put in over the first two years (people, product, partnership economics, marketing) and how that investment comes back, in the form of owners banking with Flex and the revenue they produce. We are looking for the shape of the business and the logic behind it. The plan and the team. How you will build this out and what you will need to do it. Treat it as a coverage pitch. Bring the map, the partnerships and the economics, and be ready to defend each one. Compensation Compensation follows the coverage-banking model: a base that allows you to build the book without pressure to pursue the wrong relationships, and variable tied to what your sector produces for Flex, with no ceiling. Base salary. $275,000 to $325,000, adjusted for location and experience. Variable. Targeted at 100% of base. Paid on the revenue your sector generates, including owners sourced through your partnerships. Equity. Eligible for equity compensation First year. A guaranteed variable component while the book is built, agreed at offer. Final compensation within this range will be based on experience, qualifications, and interview performance. This position is also eligible for equity compensation. Flex offers medical, dental and vision insurance, paid time off, and a 401(k) plan. Applications will be accepted on an ongoing basis until the position is filled. Additional Information Why Join Us Build something generational — Capture the full lifecycle of money for ambitious business owners. Work on real money, real risk — Payments, credit, and banking at serious scale. Solve hard problems — AI, underwriting, compliance, and global finance from first principles. True ownership — Small teams, high trust, real accountability. Founder-level exposure — Direct access to leadership, customers, and investors. High bar, high taste — Move fast without cutting corners. Elite peers — People here are builders, not tourists. Real upside — Meaningful equity if you help build something big.

Flex is building the AI-native private bank for business owners . We're re-architecting the entire financial system for entrepreneurs—from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations—rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners. Since launching publicly in September 2023 , Flex has scaled from zero to nine-figure annualized revenue , with a clear path to profitability by late 2026 . We move fast, ship relentlessly, and operate with extreme ownership. Our customers are affluent business owners ($3–$200M in revenue) —the backbone of the economy and one of the most underserved segments in finance. They're stuck with outdated banks and fragmented tools. We're replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a $100B+ company by delivering a product that is fundamentally better—not incrementally improved. Flex has raised $100M+ in equity and $300M+ in debt. - Mission-critical problems : We build software that directly controls how money moves at scale. - High bar, low ego : Small teams, exceptional people, real ownership. - Speed over comfort : We prioritize execution, quality, clarity, and results. - Enduring impact : What we're building will define how a generation of owners runs their businesses. Team & Locations We hire exceptional people who want to build hard things and see their work matter immediately. Roles are available in: San Francisco, Miami, New York, and fully remote. Flex Fuels Ambition. About The Role This role owns IT and corporate engineering at Flex, end to end. It reports directly to the CTO. We think IT's job is enablement. The measure of this function is not how many tickets it closes or how many controls it can point at. It is whether everyone else at Flex can do their work faster and more safely than they could last quarter. A new hire productive on day one instead of day four. An engineer who gets exactly the access they need in minutes, without asking twice and without being handed the keys to everything. A team that can adopt a new tool because someone reviewed it properly, not because they routed around IT to buy it on a personal card. So we are not looking for a gatekeeper, or for someone whose default answer is no. The right person makes the safe path the easy path, and removes friction permanently instead of absorbing it repeatedly. Which is why this role also owns Flex's corporate security posture. Identity, access, endpoints, and the SaaS estate are one system, and the person who makes access fast should be the person who decides how much access is reasonable. Split those across two teams and employees route around both. You'll set conditional access and MFA policy, own privileged access and endpoint posture, and run third-party OAuth and Workspace grant review. Our security engineers own the product and infrastructure side, the money paths and the code, and you'll work with them constantly. Corporate security is yours to decide, not to implement on someone else's behalf. This is the hard part of the job, and we'd rather say so than leave it as a bonus line. The argument between moving fast and holding a line is now an argument you have with yourself. Day to day, what gets tightened, what gets mitigated, and what we knowingly accept is your call; the large ones come to the CTO, and we'd rather see a close call early than find out you decided it quietly. What we'd ask is that a no comes from a real read of the risk and the business context rather than a standard applied by default. The rest of the work has two halves. The IT half is the fleet, identity, access, the SaaS estate, and the joiner/mover/leaver process, delivered with help from a managed IT partner who handles procurement, device logistics, tier-1 support, and international coverage. You own that relationship, define the SLA, and enforce it. The corporate engineering half is the part we think makes this a good job: writing the automation and internal tooling that means the IT half doesn't scale linearly with headcount. If a process only works because a person runs it by hand every Tuesday, we'd rather you replaced it. You'd be inheriting an estate here, not starting one. The first year is as much untangling what has already accumulated - stale access, tools nobody reviewed, processes that work because someone remembers them - as it is building what comes next. Automate that assessment. Nobody should be reading through a SaaS estate by hand in 2026. Now the shape of this. Flex is around 150 people, and you would be the only person in this function, with vendor capacity underneath you and a direct line to the CTO. That means real autonomy and real scope from week one. It also means this is a hands-on senior individual contributor role, not a management role, and we are not planning a team under it in the near term. If you're looking to build and lead an IT organization right now, this isn't that job, and we'd rather you knew before you applied. We're looking for an IT and corporate engineering builder who wants to own security posture, rather than a security specialist willing to cover IT. Both halves have to interest you. If the enablement work reads as the price of admission for the security work, this will be a frustrating job. What You'll Do Own IT and corporate engineering end to end: the roadmap, the budget, the vendor relationships, and the outcomes. Manage our external IT partner as delivery capacity, not as a peer function. Define the scope, set the SLA, hold them to it, and own the escalation path when it slips. Design the joiner, mover, and leaver process and the entitlement model behind it. Make onboarding fast enough that a new hire is working on day one, and keep deprovisioning in-house and same-day, because it's the highest-consequence action in IT. Administer and improve our identity and productivity stack (Okta, Google Workspace, and the SaaS estate around them), including SSO, SCIM, and group and role design. Own operational policy: device standards, the access-request workflow, and SaaS onboarding and procurement review. Review tools before people buy them, and make that review fast enough that nobody wants to skip it. Build the automation. Provisioning, access reviews, asset and license reconciliation, and the internal tooling that removes recurring manual work across the SaaS estate. Run the endpoint and MDM program across a distributed, increasingly international company, and keep the fleet in a state you'd be comfortable showing an auditor. Own Flex's corporate security posture. Conditional access, MFA, session and device rules, and privileged access are yours to set. So is endpoint posture, and the review of third-party OAuth and Workspace grants that quietly accumulate at every company this age. Design and deliver the security awareness and training program. Not a once-a-year video, and not the version people click through with the sound off. Partner with our security engineers, who own product and infrastructure security. The line runs between corporate and product, not between operating and deciding. You'll bring them into identity decisions with blast radius, and they'll rely on you for provisioning data they can trust. Work closely with People, Finance, and Legal. Onboarding, offboarding, spend, and audit evidence all run through this function. Be a real internal service. Publish what you own, respond when people ask, and find the friction before it turns into a workaround. What Makes You A Great Fit You think IT exists to make other people effective, and you can point at specific friction you removed rather than tickets you closed. You write code. Not necessarily production services, but scripts, integrations, and glue that other people end up depending on. You'd rather fix the process than get faster at the workaround. You hold both sides of this honestly. You've said no to something that mattered, and you've also said yes to something a stricter version of you would have blocked, and you can explain both calls. You're comfortable being the only person in a function, and comfortable saying what you need instead of quietly absorbing it. You know you can't be in the loop on every request, and you don't want to be. You build the self-service paths that let people get what they need without going through you. You can hold a vendor accountable without turning the relationship adversarial. You can tell a colleague, including a senior one, that what they've built can't keep the access it has, explain why in plain language, and work alongside them to find a way that works. You're calm when something is broken and several people are watching. You explain technical constraints clearly to people who don't share your background, in writing, across time zones. What We're Looking For Substantial hands-on experience owning IT or corporate engineering at a growing company, including a stretch where you were the most senior person doing the work. Roughly [6+] years is typical, but we care about what you've owned, not the year count. Deep, hands-on ownership of an identity provider (Okta, Entra, JumpCloud, or similar) at the design layer: SSO, SCIM, SAML, group and entitlement modeling. Not just the admin console. Practical experience running Google Workspace or Microsoft 365 as a platform. Real MDM and endpoint experience across macOS, and ideally Windows, in a remote or hybrid company. Automation ability in at least one scripting or programming language (Python, Go, TypeScript, or similar), and comfort with APIs and identity plumbing. Experience designing an access model and running access reviews, not only fulfilling requests. Real ownership of identity security decisions, not only their execution. You've set MFA or conditional access policy, tightened privileged access, or cleaned up third-party app grants, and you can talk about what you traded away to do it. Track record managing an outsourced IT provider or MSP, or a clear-eyed view of why the ones you've worked with succeeded or failed. Clear written communication. Much of this job is asynchronous and cross-team. Strongly Preferred Experience in a regulated or audited environment (SOC 2, PCI, or a bank partnership), as the control owner rather than the auditor. Time as the senior security voice somewhere without a security team, or without a CISO to escalate to. Experience supporting employees and contractors across multiple countries, including device logistics and local employment platforms. Experience at a company that grew quickly enough that you had to replace your own early processes. Experience introducing AI tooling internally in a way that was actually adopted and actually governed. Interested? We'd love to hear from you At Flex, we value passion, determination, and honesty. Even if you don't fully match the job specifics, we encourage you to apply. Unusual career paths and unique skills can help you stand out. We believe diversity drives our success. Join us at jobs@flex.one Flex is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital or family status, pregnancy, genetic information, or any other characteristic protected by law. If you need an accommodation at any point in the process, tell us and we'll sort it out. Compensation Final compensation within this range will be based on experience, qualifications, and interview performance. This position is also eligible for equity compensation. Flex offers medical, dental and vision insurance, paid time off, and a 401(k) plan. Applications will be accepted on an ongoing basis until the position is filled. Additional Information Why Join Us Build something generational — Capture the full lifecycle of money for ambitious business owners. Work on real money, real risk — Payments, credit, and banking at serious scale. Solve hard problems — AI, underwriting, compliance, and global finance from first principles. True ownership — Small teams, high trust, real accountability. Founder-level exposure — Direct access to leadership, customers, and investors. High bar, high taste — Move fast without cutting corners. Elite peers — People here are builders, not tourists. Real upside — Meaningful equity if you help build something big.

As an Inbound Sales Representative at A Place for Mom , you'll be the trusted first point of contact for families searching for senior care solutions. In this high-impact sales role, you'll use empathy, insight, and strategic guidance to help caregivers as they explore the best care options for their loved ones. Responsibilities: What you will do Work in a growing, fast-paced industry as an expert resource for families on senior care options, delivering an exceptional experience aligned to our company mission Take inbound, pre-screened leads working remotely from your home office as an inside sales representative, working an assigned shift with strong schedule adherence Conduct in-depth initial consultation calls with families Educate families on customized senior care options, and work to find the senior living communities and home care providers that best match their needs Act as the liaison between families and senior housing communities or care providers once you successfully complete the 4 week new hire training program What will make you successful: Success is measured by reaching daily production benchmarks (inbound calls and outbound return calls), which consists of referring families out to communities and scheduling tours for them to ultimately drive move-ins. As a Welcome Advisor you will be the company's first interaction with a family with the goal of being empathetic to their situation and delivering a great family experience. Qualifications Two or more years of experience in inside sales/inbound call center History of exceeding sales targets Ability to multitask; simultaneously talk on the phone and take notes on the computer Strong computer and typing skills necessary, including Word and Excel and ability to learn and navigate internal CRM system Schedule You will work a 40-hour work schedule on an hourly, non-exempt basis. Schedules are set based on business needs, and may include regularly scheduled evenings and weekends, along with some holiday shifts during the year. Compensation Base Salary: $45,760 ($22.00 an hour) On Target Earnings: $74,000 ($28,240 variable bonus (Uncapped) Benefits: 401(k) plus match Dental Insurance Health Insurance Vision Insurance Paid Time Off #LI-JR1 About A Place for Mom A Place for Mom is the leading platform guiding families through every stage of the aging journey. Together, we simplify the senior care search with free, personalized support — connecting caregivers and their loved ones to vetted providers from our network of 15,000+ senior living communities and home care agencies. Since 2000, our teams have helped millions of families find care that fits their needs. Behind every referral and resource is a shared goal: to help families focus on what matters most — their love for each other. We're proud to be a mission-driven company where every role contributes to improving lives. Caring isn't just a core value — it's who we are. Whether you're supporting families directly or driving innovation behind the scenes, your work at A Place for Mom makes a real difference. Our employees live the company values every day: Mission Over Me : We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy. Do Hard Things : We are energized by solving challenging problems and see it as an opportunity to grow. Drive Outcomes as a Team : We each own the outcome but can only achieve it as a team. Win The Right Way : We see organizational integrity as the foundation for how we operate. Embrace Change : We innovate and constantly evolve. Additional Information: A Place for Mom has recently become aware of the fraudulent use of our name on job postings and via recruiting emails that are illegitimate and not in any way associated with us. APFM will never ask you to provide sensitive personal information as part of the recruiting process, such as your social security number; send you any unsolicited job offers or employment contracts; require any fees, payments, or access to financial accounts; and/or extend an offer without conducting an interview. If you suspect you are being scammed or have been scammed online, you may report the crime to the Federal Bureau of Investigation and obtain more information regarding online scams at the Federal Trade Commission. All your information will be kept confidential according to EEO guidelines. A Place for Mom uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify .

The Role Forward is one of the fastest growing embedded finance companies in the US - launching exciting new products that accelerate how businesses operate.   We need a  Senior Manager, Risk & Compliance Operations , someone who owns both the operational cadence that keeps the three Onboarding, Transaction Monitoring, and Merchant Maintenance pods running smoothly and the governance frameworks that make human judgment scale.  You will: Run the weekly ops rhythm across Onboarding, Transaction Monitoring, and Merchant Maintenance pods: cadence, SLAs, escalation triage, cross-pod handoffs Design and own the control framework that backs up operational discipline: Risk Appetite Statement, Delegation of Authority, Control Inventory, L2 Governance Build policy as a living operational tool, not a checkbox: Risk Assessment, Underwriting, Sanctions, Merchant Termination policies that the ops team follows Establish partner and merchant risk assessment  Partner with the pod leads on risk judgment and policy interpretation. You are the operational anchor they escalate to. You make the strategic frameworks operational and the operational team disciplined. What You'll Own Operational Cadence & SLA Management Own the RCO weekly rhythm: scheduled standup across three pods, escalation triage, decision log, blockers surfaced to Leadership. Set and track pod-level SLAs: time to first touch, case resolution cycles, dispute response time, payout cycles. Flag when pods are out of SLA and escalate root cause to Leadership. Lead escalation triage: when a case doesn't fit a pod's workflow (fraud incident, high-risk merchant, regulatory escalation), determine ownership, timeline, and approval chain Coordinate cross-pod handoffs: Onboarding to TM to Merchant Maintenance flows; ensure no merchant falls through the cracks between pods Build and maintain case routing logic: which cases go to which pod, when, and under what conditions. It evolves as the business scales. Control Framework Design & Implementation Own the Risk Appetite Statement: define Forward's risk thresholds (acceptable fraud loss rate, decline rate, chargeback rate, AML false positive rate) with Leadership and Finance; operationalize them as SLAs the pods follow Build the Delegation of Authority (DOA) Matrix: tier-by-tier approval authorities for merchant boarding (by size, risk, industry), limit exceptions, high-risk overrides, and settlement decisions; ensure segregation of duties Complete and maintain the Control Inventory: currently 60 to 75% built. Finish the gap, document each control, map to risk categories and regulatory requirements, and establish testing cadences. Lead the L2 Governance Framework deployment: the dual-control review layer now shipping for automated decisioning at scale. Own the policy layer, threshold tuning, escalation matrix, and integration with the decisioning engine. Establish standing audit management: PCI, sponsor bank, and network audits currently scramble for evidence under deadline. Build continuous audit evidence and a control testing calendar. Policy Ownership & Documentation Own core operational policies as living documents: Risk Assessment Policy (merchant tiering, boarding criteria, EDD triggers) Underwriting Policy (approve, decline, or conditional decision-making) Sanctions and KYC/KYB Policy (compliance execution) Merchant Termination Policy (escalation, conditions, offboarding) Incident Response Policy (fraud outbreaks, regulatory notifications, SARs) Ensure policies are enforced: policies only work if the team follows them. Flag gaps when they appear, own remediation, and align pod leads on policy interpretation. Build policy as a scaling lever: as acquiring volume scales 3x, policy governs merchant risk tiering, real-time monitoring thresholds, chargeback and dispute handling, network escalation, and merchant suspension procedures Partner & Merchant Risk Assessment Stand up a repeatable partner risk assessment process: Forward has handled complex partner decisions ad hoc. Document a standardized Partner Risk Classification Framework, assessment checklist, and escalation path. Own merchant risk classification: maintain the risk scoring methodology, tier definitions, and triggers for Enhanced Due Diligence, conditions, or termination. Keep scoring consistent and validated. Lead high-risk merchant oversight: when a merchant crosses a risk threshold, own the escalation decision and represent Risk's position in business discussions about continued boarding or processing Fraud & Incident Response Establish fraud governance: define acceptable loss rate thresholds and incident response procedures for fraud outbreaks (organized networks, account takeover campaigns) Partner on transaction monitoring tuning: work with the Data Scientist and the TM pod to design and validate TM rules, tune false positive rates, and make sure alerts surface appropriately Manage fraud incidents: lead investigation, containment, and remediation of significant fraud events, and ensure regulatory notification requirements (SARs) are met Pod Lead Partnership Be the operational anchor for pod leads: The pod leads escalate judgment calls, process questions, and policy interpretation to you Align on risk judgment: when a pod lead is unsure whether a high-risk merchant should be conditionally approved or declined, help them reason through the decision using the control framework Drive cross-pod consistency: three independent pods can drift toward three risk philosophies. Enforce consistency through policy, cadence, and escalation discipline.   Required Qualifications 5+ years in risk operations, fraud operations, or compliance operations at a fintech, payments, or banking organization, with direct experience building operational discipline (SLAs, escalation matrices, control frameworks) from a partial or immature state Deep knowledge of payments and risk: KYC/KYB, transaction monitoring, AML/BSA, chargeback and dispute processes, merchant risk tiering, network program rules Control framework experience: documented experience building or operating a risk appetite statement, control inventory, DOA matrix, or L2 governance framework Leadership as a service: comfortable leading through process, policy, and cadence rather than hands-on execution; able to mentor others on judgment calls without doing the work yourself Data-literate: comfortable reading risk dashboards, SLA reports, loss reports, and SQL queries; can spot anomalies that signal emerging risk Communication: clear written and oral communication for internal audiences (exec team, board, pod leads) and external audiences (auditors, regulators) Operational rigor: you build systems that work consistently. SLAs are not aspirational, escalation paths are predictable, and policy is enforced. Preferred Qualifications Experience at a scale payments provider  Prior fraud or incident command experience: led or co-led investigation and remediation of fraud outbreaks or significant operational incidents Experience building or scaling operational systems: moved from ad hoc to repeatable process, and built playbooks that actually get followed Financial crime background: fraud, money laundering, account takeover, and designing controls that catch organized schemes early Banking or embedded finance exposure: deposit account operations or consumer protection rules What We Offer Competitive salary and equity package. Comprehensive health, dental, and vision benefits. Flexible work arrangements and generous PTO. Learning & development budget for conferences, courses, and certifications. The opportunity to define the ML architecture and model governance standard at a payments company scaling 45x - building from rules-based to model-driven decisioning across merchant risk, real-time transaction fraud, and AML. Location Austin, TX

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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it's running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic's largest areas of spend. You'll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you'll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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: $320,000 — $485,000 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.

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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it's running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic's largest areas of spend. You'll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you'll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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: $320,000 — $485,000 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.

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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it's running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic's largest areas of spend. You'll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you'll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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: $320,000 — $485,000 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.