Job Description Clusia is led by Reed Switzer, founder of Hopscotch, a B2B payments startup acquired by Avalara / Vista Equity Partners, and Nolan Hendrickson, who previously led engineering teams within Microsoft's Defender organization. The company is venture-backed and has not yet been publicly announced. Company Description Clusia is the first AI-native assurance firm for companies that move money. We conduct the audits and independent testing fintechs, payments companies, and banks are required to complete each year - including annual ACH audits and BSA/AML testing. Our in-house U.S.-based auditors do the work, while Clusia's software reduces evidence gathering, pre-fills responses, and makes each engagement faster and more efficient. We believe the next great assurance firm will be built like a software company. Clusia is building that firm - bringing more regulatory assurance under one roof and using technology to improve quality, increase auditor capacity, and deliver better economics for customers. Role Description We are looking for a small number of engineers to work closely with the CTO and our founding engineers. This will not be a big team. We plan to stay lean, with high talent density, no layers, and no fluff. As a member of the technical staff, you'll own important parts of the product and company from the beginning from core architecture and infrastructure to customer-facing workflows and AI-powered product experiences. You won't be handed a neatly scoped ticket queue. You'll be expected to understand customer problems deeply, make good technical decisions in ambiguity, and build systems that can earn trust in a highly regulated environment. Compensation range: $160,000 - $225,000 base salary + equity and benefits Note: This role is in-person in New York City and you are required to ship code. Why Join Compliance tech is next up. We believe compliance is entering the same kind of transformation legal tech has seen over the last two years: large, high-stakes workflows being rebuilt around AI, collaboration, and better systems of record. We're building a small, high-talent-density team. Clusia will remain lean by design. There will be few openings and the bar for talent is incredibly high. Your work will matter at global scale. The systems we're building will power critical operations for some of the largest financial institutions and technology companies in the world. You'll work with founders who have done this before. The founding team has built and sold venture-backed companies in the past and is applying those lessons to build Clusia with focus, urgency, and ambition. Qualifications AI expertise: You have hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems. Full-stack product engineering: You can build clean, reliable product experiences end to end. Infrastructure depth: You're comfortable with cloud services, deployment, observability, reliability, and security. AI evaluation experience: You know how to design tests, benchmarks, and feedback loops to measure model and agent quality. Startup execution mindset: You're pragmatic, fast-moving, product-minded, and comfortable owning ambiguous technical problems. Empathy for users: You care deeply about the people using what you build, not just the technical elegance of the solution. Creating: You've built things outside of work maybe a Minecraft server as a kid, a side project, a tool for your friends, a company, an open-source project, or something nobody asked you to build.
10/23/2026
Full time
Job Description Clusia is led by Reed Switzer, founder of Hopscotch, a B2B payments startup acquired by Avalara / Vista Equity Partners, and Nolan Hendrickson, who previously led engineering teams within Microsoft's Defender organization. The company is venture-backed and has not yet been publicly announced. Company Description Clusia is the first AI-native assurance firm for companies that move money. We conduct the audits and independent testing fintechs, payments companies, and banks are required to complete each year - including annual ACH audits and BSA/AML testing. Our in-house U.S.-based auditors do the work, while Clusia's software reduces evidence gathering, pre-fills responses, and makes each engagement faster and more efficient. We believe the next great assurance firm will be built like a software company. Clusia is building that firm - bringing more regulatory assurance under one roof and using technology to improve quality, increase auditor capacity, and deliver better economics for customers. Role Description We are looking for a small number of engineers to work closely with the CTO and our founding engineers. This will not be a big team. We plan to stay lean, with high talent density, no layers, and no fluff. As a member of the technical staff, you'll own important parts of the product and company from the beginning from core architecture and infrastructure to customer-facing workflows and AI-powered product experiences. You won't be handed a neatly scoped ticket queue. You'll be expected to understand customer problems deeply, make good technical decisions in ambiguity, and build systems that can earn trust in a highly regulated environment. Compensation range: $160,000 - $225,000 base salary + equity and benefits Note: This role is in-person in New York City and you are required to ship code. Why Join Compliance tech is next up. We believe compliance is entering the same kind of transformation legal tech has seen over the last two years: large, high-stakes workflows being rebuilt around AI, collaboration, and better systems of record. We're building a small, high-talent-density team. Clusia will remain lean by design. There will be few openings and the bar for talent is incredibly high. Your work will matter at global scale. The systems we're building will power critical operations for some of the largest financial institutions and technology companies in the world. You'll work with founders who have done this before. The founding team has built and sold venture-backed companies in the past and is applying those lessons to build Clusia with focus, urgency, and ambition. Qualifications AI expertise: You have hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems. Full-stack product engineering: You can build clean, reliable product experiences end to end. Infrastructure depth: You're comfortable with cloud services, deployment, observability, reliability, and security. AI evaluation experience: You know how to design tests, benchmarks, and feedback loops to measure model and agent quality. Startup execution mindset: You're pragmatic, fast-moving, product-minded, and comfortable owning ambiguous technical problems. Empathy for users: You care deeply about the people using what you build, not just the technical elegance of the solution. Creating: You've built things outside of work maybe a Minecraft server as a kid, a side project, a tool for your friends, a company, an open-source project, or something nobody asked you to build.
Job Description Clusia is led by Reed Switzer, founder of Hopscotch, a B2B payments startup acquired by Avalara / Vista Equity Partners, and Nolan Hendrickson, who previously led engineering teams within Microsoft's Defender organization. The company is venture-backed and has not yet been publicly announced. Company Description Clusia is the first AI-native assurance firm for companies that move money. We conduct the audits and independent testing fintechs, payments companies, and banks are required to complete each year - including annual ACH audits and BSA/AML testing. Our in-house U.S.-based auditors do the work, while Clusia's software reduces evidence gathering, pre-fills responses, and makes each engagement faster and more efficient. We believe the next great assurance firm will be built like a software company. Clusia is building that firm - bringing more regulatory assurance under one roof and using technology to improve quality, increase auditor capacity, and deliver better economics for customers. Role Description We are looking for a small number of engineers to work closely with the CTO and our founding engineers. This will not be a big team. We plan to stay lean, with high talent density, no layers, and no fluff. As a member of the technical staff, you'll own important parts of the product and company from the beginning from core architecture and infrastructure to customer-facing workflows and AI-powered product experiences. You won't be handed a neatly scoped ticket queue. You'll be expected to understand customer problems deeply, make good technical decisions in ambiguity, and build systems that can earn trust in a highly regulated environment. Compensation range: $160,000 - $225,000 base salary + equity and benefits Note: This role is in-person in New York City and you are required to ship code. Why Join Compliance tech is next up. We believe compliance is entering the same kind of transformation legal tech has seen over the last two years: large, high-stakes workflows being rebuilt around AI, collaboration, and better systems of record. We're building a small, high-talent-density team. Clusia will remain lean by design. There will be few openings and the bar for talent is incredibly high. Your work will matter at global scale. The systems we're building will power critical operations for some of the largest financial institutions and technology companies in the world. You'll work with founders who have done this before. The founding team has built and sold venture-backed companies in the past and is applying those lessons to build Clusia with focus, urgency, and ambition. Qualifications AI expertise: You have hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems. Full-stack product engineering: You can build clean, reliable product experiences end to end. Infrastructure depth: You're comfortable with cloud services, deployment, observability, reliability, and security. AI evaluation experience: You know how to design tests, benchmarks, and feedback loops to measure model and agent quality. Startup execution mindset: You're pragmatic, fast-moving, product-minded, and comfortable owning ambiguous technical problems. Empathy for users: You care deeply about the people using what you build, not just the technical elegance of the solution. Creating: You've built things outside of work maybe a Minecraft server as a kid, a side project, a tool for your friends, a company, an open-source project, or something nobody asked you to build.
10/23/2026
Full time
Job Description Clusia is led by Reed Switzer, founder of Hopscotch, a B2B payments startup acquired by Avalara / Vista Equity Partners, and Nolan Hendrickson, who previously led engineering teams within Microsoft's Defender organization. The company is venture-backed and has not yet been publicly announced. Company Description Clusia is the first AI-native assurance firm for companies that move money. We conduct the audits and independent testing fintechs, payments companies, and banks are required to complete each year - including annual ACH audits and BSA/AML testing. Our in-house U.S.-based auditors do the work, while Clusia's software reduces evidence gathering, pre-fills responses, and makes each engagement faster and more efficient. We believe the next great assurance firm will be built like a software company. Clusia is building that firm - bringing more regulatory assurance under one roof and using technology to improve quality, increase auditor capacity, and deliver better economics for customers. Role Description We are looking for a small number of engineers to work closely with the CTO and our founding engineers. This will not be a big team. We plan to stay lean, with high talent density, no layers, and no fluff. As a member of the technical staff, you'll own important parts of the product and company from the beginning from core architecture and infrastructure to customer-facing workflows and AI-powered product experiences. You won't be handed a neatly scoped ticket queue. You'll be expected to understand customer problems deeply, make good technical decisions in ambiguity, and build systems that can earn trust in a highly regulated environment. Compensation range: $160,000 - $225,000 base salary + equity and benefits Note: This role is in-person in New York City and you are required to ship code. Why Join Compliance tech is next up. We believe compliance is entering the same kind of transformation legal tech has seen over the last two years: large, high-stakes workflows being rebuilt around AI, collaboration, and better systems of record. We're building a small, high-talent-density team. Clusia will remain lean by design. There will be few openings and the bar for talent is incredibly high. Your work will matter at global scale. The systems we're building will power critical operations for some of the largest financial institutions and technology companies in the world. You'll work with founders who have done this before. The founding team has built and sold venture-backed companies in the past and is applying those lessons to build Clusia with focus, urgency, and ambition. Qualifications AI expertise: You have hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems. Full-stack product engineering: You can build clean, reliable product experiences end to end. Infrastructure depth: You're comfortable with cloud services, deployment, observability, reliability, and security. AI evaluation experience: You know how to design tests, benchmarks, and feedback loops to measure model and agent quality. Startup execution mindset: You're pragmatic, fast-moving, product-minded, and comfortable owning ambiguous technical problems. Empathy for users: You care deeply about the people using what you build, not just the technical elegance of the solution. Creating: You've built things outside of work maybe a Minecraft server as a kid, a side project, a tool for your friends, a company, an open-source project, or something nobody asked you to build.
Job Description Clusia is led by Reed Switzer, founder of Hopscotch, a B2B payments startup acquired by Avalara / Vista Equity Partners, and Nolan Hendrickson, who previously led engineering teams within Microsoft's Defender organization. The company is venture-backed and has not yet been publicly announced. Company Description Clusia is the first AI-native assurance firm for companies that move money. We conduct the audits and independent testing fintechs, payments companies, and banks are required to complete each year - including annual ACH audits and BSA/AML testing. Our in-house U.S.-based auditors do the work, while Clusia's software reduces evidence gathering, pre-fills responses, and makes each engagement faster and more efficient. We believe the next great assurance firm will be built like a software company. Clusia is building that firm - bringing more regulatory assurance under one roof and using technology to improve quality, increase auditor capacity, and deliver better economics for customers. Role Description We are looking for a small number of engineers to work closely with the CTO and our founding engineers. This will not be a big team. We plan to stay lean, with high talent density, no layers, and no fluff. As a member of the technical staff, you'll own important parts of the product and company from the beginning from core architecture and infrastructure to customer-facing workflows and AI-powered product experiences. You won't be handed a neatly scoped ticket queue. You'll be expected to understand customer problems deeply, make good technical decisions in ambiguity, and build systems that can earn trust in a highly regulated environment. Compensation range: $125,000 - $200,000 base salary + equity and benefits Note: This role is in-person in New York City and you are required to ship code. Why Join Assurance is next up. We believe assurance is entering the same kind of transformation legal tech has seen over the last two years: large, high-stakes workflows being rebuilt around AI, collaboration, and better systems of record. We're building a small, high-talent-density team. Clusia will remain lean by design. There will be few openings and the bar for talent is incredibly high. Your work will matter at global scale. The systems we're building will power critical operations for some of the largest financial institutions and technology companies in the world. You'll work with founders who have done this before. The founding team has built and sold venture-backed companies in the past and is applying those lessons to build Clusia with focus, urgency, and ambition. Qualifications AI expertise: You have hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems. Full-stack product engineering: You can build clean, reliable product experiences end to end. Infrastructure depth: You're comfortable with cloud services, deployment, observability, reliability, and security. AI evaluation experience: You know how to design tests, benchmarks, and feedback loops to measure model and agent quality. Startup execution mindset: You're pragmatic, fast-moving, product-minded, and comfortable owning ambiguous technical problems. Empathy for users: You care deeply about the people using what you build, not just the technical elegance of the solution. Creating: You've built things outside of work maybe a Minecraft server as a kid, a side project, a tool for your friends, a company, an open-source project, or something nobody asked you to build.
10/23/2026
Full time
Job Description Clusia is led by Reed Switzer, founder of Hopscotch, a B2B payments startup acquired by Avalara / Vista Equity Partners, and Nolan Hendrickson, who previously led engineering teams within Microsoft's Defender organization. The company is venture-backed and has not yet been publicly announced. Company Description Clusia is the first AI-native assurance firm for companies that move money. We conduct the audits and independent testing fintechs, payments companies, and banks are required to complete each year - including annual ACH audits and BSA/AML testing. Our in-house U.S.-based auditors do the work, while Clusia's software reduces evidence gathering, pre-fills responses, and makes each engagement faster and more efficient. We believe the next great assurance firm will be built like a software company. Clusia is building that firm - bringing more regulatory assurance under one roof and using technology to improve quality, increase auditor capacity, and deliver better economics for customers. Role Description We are looking for a small number of engineers to work closely with the CTO and our founding engineers. This will not be a big team. We plan to stay lean, with high talent density, no layers, and no fluff. As a member of the technical staff, you'll own important parts of the product and company from the beginning from core architecture and infrastructure to customer-facing workflows and AI-powered product experiences. You won't be handed a neatly scoped ticket queue. You'll be expected to understand customer problems deeply, make good technical decisions in ambiguity, and build systems that can earn trust in a highly regulated environment. Compensation range: $125,000 - $200,000 base salary + equity and benefits Note: This role is in-person in New York City and you are required to ship code. Why Join Assurance is next up. We believe assurance is entering the same kind of transformation legal tech has seen over the last two years: large, high-stakes workflows being rebuilt around AI, collaboration, and better systems of record. We're building a small, high-talent-density team. Clusia will remain lean by design. There will be few openings and the bar for talent is incredibly high. Your work will matter at global scale. The systems we're building will power critical operations for some of the largest financial institutions and technology companies in the world. You'll work with founders who have done this before. The founding team has built and sold venture-backed companies in the past and is applying those lessons to build Clusia with focus, urgency, and ambition. Qualifications AI expertise: You have hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems. Full-stack product engineering: You can build clean, reliable product experiences end to end. Infrastructure depth: You're comfortable with cloud services, deployment, observability, reliability, and security. AI evaluation experience: You know how to design tests, benchmarks, and feedback loops to measure model and agent quality. Startup execution mindset: You're pragmatic, fast-moving, product-minded, and comfortable owning ambiguous technical problems. Empathy for users: You care deeply about the people using what you build, not just the technical elegance of the solution. Creating: You've built things outside of work maybe a Minecraft server as a kid, a side project, a tool for your friends, a company, an open-source project, or something nobody asked you to build.