Manager, Treasury

🏢 Summary: Permanent Product Manager role focused on reimagining financial institution operations through AI-native solutions. The role involves identifying high-impact operational pain points and building end-to-end AI-driven products that replace legacy workflows in regulated banking environments. You will own the full product lifecycle and deliver ROI-driven solutions for enterprise financial institutions. 🗂️ Requirements: 5+ years product management experience, Experience in financial services operations, Experience building products for operations, risk, or compliance users, Experience owning full product lifecycle, Experience defining ROI-driven enterprise narratives, Strong customer discovery skills, Experience working in regulated financial environments, Hands-on use of AI tools for building prototypes and workflows 📃 Skills: AI, MachineLearning, Automation, ProductManagement, DataAnalysis, Prototyping, Compliance, FinTech, Cursor, Copilot, Claude, Replit 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role: Financial institutions are full of operational pain points that haven't been meaningfully addressed in decades. Manual workflows, legacy tools, and inefficiency cost the industry billions. Your job is to go deep into how these institutions actually operate, identify the highest-impact friction points, and build AI-native solutions that fundamentally change the way things work. This isn't about wrapping AI around broken processes. It's about reimagining how these workflows should function when AI is the starting point. This is a domain-expert, permanent role (not a rotation) because customer relationships and regulatory knowledge compound over time. Your expertise is the moat. Key Responsibilities Discover and validate the highest-value operational pain points at financial institutions through deep customer engagement Design and build AI-native solutions from scratch: not incremental improvements to legacy workflows, but fundamentally new approaches Own the full product lifecycle: discovery, validation, build, launch, and iteration for each solution you bring to market Be the customer-facing domain expert: spend time with FI operations teams, understand their workflows at a granular level, and translate pain into product Define outcome-based value narratives for enterprise buyers: prove ROI in terms that CFOs and operations leaders care about Navigate regulatory complexity as a first-class product constraint: financial operations are heavily regulated, and compliance shapes the product, not the other way around Partner with platform teams to leverage shared AI infrastructure and capabilities Required Qualifications 5+ years in product management Experience in financial services operations you've worked in or built products for the operational side of financial institutions (not just consumer-facing apps) Built products where the user is an operations, risk, or compliance professional you understand back-office workflows at a granular level Experience defining ROI-driven narratives for enterprise buyers: you sell business outcomes, not feature lists Comfortable being the domain expert who educates engineering teams and peer PMs on industry nuance Strong discovery instincts you know how to find the real pain points, not just the ones customers articulate AI-native workflow: You build with AI daily — analyzing data, building prototypes, generating regulatory summaries, automating repetitive research. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building Preferred Skills Working knowledge of financial operations regulations (collections, fraud, compliance, lending): highly valued but learnable for candidates with adjacent financial services experience Financial institution experience Built AI-powered automation for back-office or operations workflows Experience with outcome-based or performance-based pricing models Experience identifying and validating new product opportunities through customer discovery Who you are? You're the person who has sat with operations teams at financial institutions and watched how they actually work: the spreadsheets, the manual queues, the workarounds that exist because nobody built them a real tool. You see friction that others accept as normal, and you immediately start thinking about what an AI-native solution looks like. You understand regulated environments viscerally. You don't treat compliance as a checkbox, you treat it as a design constraint that makes the product better. You've built products where a regulatory misstep isn't just a bug; it's a lawsuit. You're customer-facing and credible. Operations leaders at financial institutions trust you because you speak their language and understand their world. You can present ROI to a CFO and workflow details to an operations manager in the same meeting. You build your own tools. You use AI to analyze operational data, prototype solution workflows, generate regulatory requirement maps, and accelerate every aspect of your domain work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You see AI as both the product you're building and the way you build it. Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work? Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. Compensation Base Salary is expected to be between $175,000 - $225,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. Benefits 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Permanent Product Manager role focused on reimagining financial institutions’ operations by designing and launching AI-native solutions that replace legacy back-office workflows. The position owns the full product lifecycle and acts as a domain expert in regulated financial environments, driving ROI for enterprise clients. The role requires deep expertise in financial operations and building AI-powered automation from scratch. 🗂️ Requirements: 5+ years of product management experience, Experience in financial services operations (operational side of financial institutions), Experience building products for operations, risk, or compliance users, Experience owning full product lifecycle from discovery to launch, Ability to define and communicate ROI-driven value propositions for enterprise buyers, Strong customer discovery and validation skills, Experience working in regulated financial environments, Hands-on experience building AI-native workflows and automation 📃 Skills: AI, ProductManagement, FinancialServices, Operations, Compliance, Risk, Automation, Cursor, Copilot, Claude, Replit, AIagents, Scripting, Regulations, WorkflowAutomation 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role: Financial institutions are full of operational pain points that haven't been meaningfully addressed in decades. Manual workflows, legacy tools, and inefficiency cost the industry billions. Your job is to go deep into how these institutions actually operate, identify the highest-impact friction points, and build AI-native solutions that fundamentally change the way things work. This isn't about wrapping AI around broken processes. It's about reimagining how these workflows should function when AI is the starting point. This is a domain-expert, permanent role (not a rotation) because customer relationships and regulatory knowledge compound over time. Your expertise is the moat. Key Responsibilities Discover and validate the highest-value operational pain points at financial institutions through deep customer engagement Design and build AI-native solutions from scratch: not incremental improvements to legacy workflows, but fundamentally new approaches Own the full product lifecycle: discovery, validation, build, launch, and iteration for each solution you bring to market Be the customer-facing domain expert: spend time with FI operations teams, understand their workflows at a granular level, and translate pain into product Define outcome-based value narratives for enterprise buyers: prove ROI in terms that CFOs and operations leaders care about Navigate regulatory complexity as a first-class product constraint: financial operations are heavily regulated, and compliance shapes the product, not the other way around Partner with platform teams to leverage shared AI infrastructure and capabilities Required Qualifications 5+ years in product management Experience in financial services operations you've worked in or built products for the operational side of financial institutions (not just consumer-facing apps) Built products where the user is an operations, risk, or compliance professional you understand back-office workflows at a granular level Experience defining ROI-driven narratives for enterprise buyers: you sell business outcomes, not feature lists Comfortable being the domain expert who educates engineering teams and peer PMs on industry nuance Strong discovery instincts you know how to find the real pain points, not just the ones customers articulate AI-native workflow: You build with AI daily — analyzing data, building prototypes, generating regulatory summaries, automating repetitive research. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building Preferred Skills Working knowledge of financial operations regulations (collections, fraud, compliance, lending): highly valued but learnable for candidates with adjacent financial services experience Financial institution experience Built AI-powered automation for back-office or operations workflows Experience with outcome-based or performance-based pricing models Experience identifying and validating new product opportunities through customer discovery Who you are? You're the person who has sat with operations teams at financial institutions and watched how they actually work: the spreadsheets, the manual queues, the workarounds that exist because nobody built them a real tool. You see friction that others accept as normal, and you immediately start thinking about what an AI-native solution looks like. You understand regulated environments viscerally. You don't treat compliance as a checkbox, you treat it as a design constraint that makes the product better. You've built products where a regulatory misstep isn't just a bug; it's a lawsuit. You're customer-facing and credible. Operations leaders at financial institutions trust you because you speak their language and understand their world. You can present ROI to a CFO and workflow details to an operations manager in the same meeting. You build your own tools. You use AI to analyze operational data, prototype solution workflows, generate regulatory requirement maps, and accelerate every aspect of your domain work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You see AI as both the product you're building and the way you build it. Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work? Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. Compensation Base Salary is expected to be between $175,000 - $225,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. Benefits 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Manager Software Engineer role focused on leading the development of a cloud-native, event-driven SaaS treasury management platform. The position combines technical leadership, hands-on engineering in distributed systems, and ownership of architecture and delivery within an Agile environment. You will guide a team building scalable, high-quality solutions on Microsoft and Azure technology stack. 🗂️ Requirements: Proven leadership and people management experience, Strong experience in complex distributed systems, Hands-on software development experience, Experience with Agile methodologies and SDLC processes, Ability to define system architecture and technical direction, Experience with Microsoft technologies (C#/.NET, SQL Server, Entity Framework), Experience with Azure cloud services, Willingness to participate in on-call rotation (you-build-it-you-run-it model) 📃 Skills: C#, .NET, SQL, SQLServer, EntityFramework, Azure, FunctionApps, ServiceBus, SaaS, Cloud, DistributedSystems, Agile 🏢 Description: At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. Ripple Treasury, now a Ripple solution, was acquired by Ripple in 2025, marking a significant expansion into the multi-trillion-dollar corporate finance arena. Ripple Treasury has more than 40 years of experience supporting some of the world’s largest and most sophisticated companies. Integrating its treasury command center into Ripple’s technology stack gives corporates the ability to move, manage and optimize liquidity in real-time, across traditional and digital assets, under one expanded umbrella. Join us to build the future of corporate treasury and the infrastructure that powers the Internet of Value. THE WORK: At Ripple Treasury, you’ll be a part of makers, breakers, doers, and disruptors, who love to solve real problems and meet real customer needs. As an established FinTech leader in the SaaS treasury management space, our vision is to create the next-generation of technology tools for the global, corporate financial office. As a Manager Software Engineer at Ripple Treasury, you will be building a world-class platform through a world-class team. Driving the technical direction the technology, the evolution of team, and the engineering excellence to make magic happen. WHAT YOU’LL DO: Lead a diverse portfolio of technology projects and a team of developers. They have deep experience in event-driven cloud native services and full stack systems. Together, develop solutions that meet business and customer needs. Share your passion for staying current on tech trends. Experiment with and learn new technologies. Participate in internal and external tech communities. Mentor other engineers. Evaluate technical builds and code. Collaborate with product managers and deliver robust cloud-based solutions. Make decisions on the build, architecture, and delivery of systems. Build teams, actively coach and mentor your team, and help them grow in their careers. Drive agile development and analytical methodologies every day. Strive to continuously improve the operations, processes, methodologies, technology choices, and practices of the team. Interact with your team, customers, and peers to share information and improve cross-department processes. Strive for transparency and partnership between our engineers and our business partners. Engage in concept discussions and propose technology solutions to meet business objectives and influence such decisions. Work with multi-functional project teams on solution architecture options for building. Ensure all work meets quality, operational, and architectural standards needed for organizational success. Participate in the team’s YBIYRI model (you-build-it-you-run-it), which includes participating in their on-call pager rotation. WHAT YOU'LL BRING: Leadership competence, first and foremost. Highly skilled at people management, team building, career development, attracting, and retaining talent. Strong aptitude with software development lifecycle and engineering excellence processes, Agile methodologies, and the ability to project manage moderately sized projects. Deep software engineering experience in complex distributed systems. Strong technical competence which allows you to be responsible for the technical domain. Hands-on approach and ready to deep dive into code details with the team. Strong communication, coordination, and influencing skills. Ideally, deep knowledge and experience with Microsoft languages/frameworks (C#/.NET, SQL Server, Entity Framework). Expertise with Azure (Function Apps, Service Bus, etc.) a bonus. Other common names for this role: Manager, Platform Engineering WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.

🏢 Summary: Senior-level role responsible for leading the end-to-end product lifecycle and optimization of Workday Payroll, including integrations, configuration, and global deployment. The position focuses on designing scalable payroll solutions, managing integrations, and driving automation, compliance, and operational efficiency. It combines deep Workday technical expertise with product strategy and stakeholder collaboration. 🗂️ Requirements: 7+ years of Workday Payroll configuration and integration experience, Extensive knowledge of Workday Payroll objects (GL, Paycodes, Taxes), Experience designing and implementing Workday integrations (PECI, PICOF, Studio), Strong experience with REST and SOAP APIs, Proficiency in XML, XSLT, and JSON, Experience building Workday reports and dashboards, Experience working in Agile environment, Ability to manage full product lifecycle for payroll systems, Experience troubleshooting complex system and integration issues 📃 Skills: Workday, Payroll, PECI, PICOF, Studio, REST, SOAP, XML, XSLT, JSON, APIs, Reporting, Dashboards, Agile, ADP, Extend, TimeTracking, Absence 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Technology, Data, and Intelligence Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Staff Product Analyst (Workday Payroll) Opportunity Okta is seeking a Staff Product Analyst (Workday Payroll) to join our People Technology Team. This is a pivotal role dedicated to the product-led optimization of Okta's global Workday platform. Beyond standard configuration, you will lead the end-to-end lifecycle of our payroll systems from strategic discovery and design to global deployment and adoption. You will act as a consultant and architect to our stakeholders in People, Payroll, IT, and Finance teams, ensuring our People Technology suite is a driver of automation and efficiency. If you are passionate about transforming the employee experience through innovative technical products, you'll fit right in. What you’ll be doing Product Strategy and Roadmap: Collaborate on the product vision and multi-year roadmap for Workday Payroll, ensuring alignment with global People Technology and Finance team's objectives. Stakeholder Partnership: Act as a strategic partner to People, Payroll, and Finance leadership to translate complex business needs into scalable product requirements and technical specifications. End-to-End Solution Design: Lead the design and implementation of high-impact integration solutions (using PECI, PICOF, and Studio) that prioritize user experience and operational efficiency. Lifecycle Management: Manage the full product lifecycle for payroll integrations, from initial discovery and requirements gathering to deployment, maintenance, and sunsetting. Data-Driven Insights: Leverage Workday reporting and analytics to monitor system performance, identify trends, and provide actionable recommendations for payroll process optimization. Vendor and Platform Management: Oversee technical relationships with third-party vendors (e.g., ADP) to ensure seamless data flows and adherence to service level agreements. Operational Excellence: Champion continuous improvement by analyzing integration failures and proposing design changes that enhance system reliability and minimize manual intervention. Feature Adoption and Training: Drive end-user adoption of new Workday features and integrations through the development of comprehensive documentation, user guides, and training programs. Compliance and Security: Ensure all payroll products strictly adhere to global data privacy requirements and internal security standards. What you’ll bring to the role Payroll Domain Knowledge: Extensive understanding of Workday Payroll objects (GL, Paycodes, Taxes) and global HR business processes. Workday Expertise: 7+ years of experience in Workday Payroll configurations and integrations. Technical Proficiency: Strong command of REST/SOAP APIs, XML, XSLT, and JSON to guide the development of automated business logic. Analytical Skills: Advanced capability in building custom reports, dashboards, and hubs to drive data-informed decision-making. Strategic Communication: Excellent interpersonal skills with the ability to influence stakeholders and collaborate effectively across global time zones. Problem Solving: Superior ability to troubleshoot complex system issues and design scalable solutions in a fast-paced environment. Agile Methodology: Experience working in an Agile environment, managing backlogs, and delivering value through iterative cycles. And extra credit if you have experience in any of the following! Knowledge in other Workday modules such as Extend, Time Tracking and Absence is a plus. Workday Certifications in Payroll or Absence or Time Tracking. #LI-MC1 #LI-Hybrid #P24726_3412897The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $148,000—$203,500 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$132,000—$181,500 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

🏢 Summary: The offer is for an Associate Cyber Security Engineer focused on Identity and Access Management (IAM), combining governance expertise with automation and AI/ML to enhance security and operational efficiency. The role involves implementing Zero-Trust principles, automating IAM processes, supporting compliance and audits, and collaborating with technical and business teams. It emphasizes AI-driven optimization, scripting, and hands-on work with leading IAM platforms in a hybrid environment. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science or related field OR 3+ years relevant experience, 2+ years of professional experience in IAM or Cyber Security, Deep knowledge of IAM frameworks, policies, and procedures, Strong understanding of authentication and authorization models, Experience with AI/ML or GenAI in IAM or security context, Advanced scripting and automation skills, Experience with IAM platforms (e.g., SailPoint, Okta, CyberArk, Azure AD), Knowledge of compliance standards (GDPR, SOX, HIPAA), Ability to support audits and maintain control documentation 📃 Skills: IAM, Python, PowerShell, C, Excel, PowerBI, AI, ML, GenAI, SailPoint, Okta, CyberArk, AzureAD, PasswordSafe, GDPR, SOX, HIPAA, ZeroTrust 🏢 Description: About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa's Cyber Security team is seeking a skilled Associate Cyber Security Engineer to join our elite team who can combine solid IAM expertise with a passion for automation and AI to drive innovation in IAM processes leveraging traditional scripting, AI/ML, and GenAI technologies, ensuring security and operational efficiency! We are looking for a passionate, talented team player with a strong problem-solving mindset and coding/scripting skills, capable of thriving in a dynamic environment. The ideal candidate will be dedicated to meeting service level agreements within tight timeframes and comfortable engaging with both business and technical stakeholders to perform core application access governance responsibilities, leveraging AI and automation technologies to enhance security and operational efficiency. Key Responsibilities: 1. Execution & Alignment Collaborate with the Warsaw IAM team and the global AAG program to ensure local deliverables align with the global IAM AAG roadmap and security requirements. Collaborate with IAM engineers and analysts to implement Zero-Trust principles, regulatory requirements, and AI/ML-driven enhancements. 2. Application Access Governance – Delivery Onboard applications and components into IAM governance as aligned with their authentication and authorization models, ensuring compliance with the respective IAM controls and Technical Security Requirements. Use analytics tools (Excel, Power BI, Python) to assist in identifying access-risk patterns and recommending improvements. Enforce IAM controls, resolve exceptions, and support process improvements under the guidance of senior team members. 3. AI & Automation Develop scripts and workflows to automate IAM tasks, reducing manual effort. Assist in building and maintaining AI/ML models for IAM control/process gap detection and process optimization. Work with the IAM technology team to test and deploy automation solutions. 4. Engineering Support & Operational Excellence Ensure continuous enforcement of IAM controls along with continuous improvement of IAM access governance controls. Automate compliance reporting, IAM control validation, and evidence collection. Provide technical support for IAM-related requests and incidents, ensuring timely resolution and clear communication with stakeholders. 5. Stakeholder Collaboration Partner with Application Development and Business teams to integrate IAM processes and controls into newly on-boarded application and other initiatives. Support change management activities to ensure smooth adoption of new IAM processes and tools. 6. Configuration Validation Perform manual validation of IAM security configurations for applications that cannot be auto-validated. 7. Risk, Compliance & Audit Readiness Maintain IAM-related risk and control documentation as directed by senior team members. Assist with audit preparation including evidence collection, providing timely & accurate responses to audit inquiries and assist in identifying and remediating IAM-related findings. 8. Learning & Knowledge Sharing Continue to develop technical and IAM domain knowledge through training, certifications, and hands-on practice. Share knowledge and collaborate with peers to enhance team capabilities. *This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: Bachelor’s degree OR 3+ years of relevant work experience. Preferred Qualifications: Bachelor’s degree in information technology, Computer Science, or a related field. 2+ years of professional experience with a bachelor’s degree, or an advanced degree (M.S., MBA, JD, MD). 2 or more years of work experience. Deep expertise in Identity & Access Management (IAM) frameworks, policies, and procedures. Proven track record of leading IAM initiatives, driving AI-powered automation from design through deployment. Strong grasp of application architecture, authentication, and authorization models. Advanced data-analytics and scripting skills in Excel, Python, PowerShell, and C, leveraged to build AI-enabled workflow automation and actionable insights. Hands-on experience applying AI and GenAI technologies to IAM solutions. Excellent communication and stakeholder-management abilities. Sharp analytical and problem-solving skills, with a focus on AI-driven use cases. Demonstrated ability to juggle multiple projects and priorities. Industry certifications (CISA, CISSP, CISM) preferred. Solid knowledge of compliance standards and regulations such as GDPR, SOX, and HIPAA. Practical experience with leading IAM platforms (SailPoint, Okta, CyberArk, Password Safe, Microsoft Azure AD), including AI integrations. ​ * This role qualifies for Autorskie Koszty Uzyskania Przychodu (KUP), in accordance with applicable Polish tax regulations. Eligible employees may benefit from preferential tax treatment on income derived from the creation of intellectual property, subject to meeting statutory criteria. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

🏢 Summary: The role involves implementing and enhancing Identity & Access Management (IAM) processes with a strong focus on automation and AI-driven improvements. The Associate Cyber Security Engineer supports application access governance, enforces IAM controls, and develops scripts and AI/ML solutions to optimize security operations. The position combines hands-on IAM engineering, analytics, and compliance support in a global security environment. 🗂️ Requirements: Bachelor’s degree or 3+ years relevant experience, 2+ years professional experience in IAM or cybersecurity, Deep knowledge of IAM frameworks, policies, and procedures, Experience with authentication and authorization models, Advanced scripting and data analytics skills, Hands-on experience with AI/ML or GenAI in IAM solutions, Experience with IAM platforms (e.g., SailPoint, Okta, CyberArk, Azure AD), Knowledge of compliance standards (GDPR, SOX, HIPAA), Ability to automate workflows and compliance reporting 📃 Skills: IAM, Python, PowerShell, C, Excel, PowerBI, AI, ML, GenAI, SailPoint, Okta, CyberArk, AzureAD, PasswordSafe, GDPR, SOX, HIPAA, ZeroTrust 🏢 Description: About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa's Cyber Security team is seeking a skilled Associate Cyber Security Engineer to join our elite team who can combine solid IAM expertise with a passion for automation and AI to drive innovation in IAM processes leveraging traditional scripting, AI/ML, and GenAI technologies, ensuring security and operational efficiency! We are looking for a passionate, talented team player with a strong problem-solving mindset and coding/scripting skills, capable of thriving in a dynamic environment. The ideal candidate will be dedicated to meeting service level agreements within tight timeframes and comfortable engaging with both business and technical stakeholders to perform core application access governance responsibilities, leveraging AI and automation technologies to enhance security and operational efficiency. Key Responsibilities: 1. Execution & Alignment Collaborate with the Warsaw IAM team and the global AAG program to ensure local deliverables align with the global IAM AAG roadmap and security requirements. Collaborate with IAM engineers and analysts to implement Zero-Trust principles, regulatory requirements, and AI/ML-driven enhancements. 2. Application Access Governance – Delivery Onboard applications and components into IAM governance as aligned with their authentication and authorization models, ensuring compliance with the respective IAM controls and Technical Security Requirements. Use analytics tools (Excel, Power BI, Python) to assist in identifying access-risk patterns and recommending improvements. Enforce IAM controls, resolve exceptions, and support process improvements under the guidance of senior team members. 3. AI & Automation Develop scripts and workflows to automate IAM tasks, reducing manual effort. Assist in building and maintaining AI/ML models for IAM control/process gap detection and process optimization. Work with the IAM technology team to test and deploy automation solutions. 4. Engineering Support & Operational Excellence Ensure continuous enforcement of IAM controls along with continuous improvement of IAM access governance controls. Automate compliance reporting, IAM control validation, and evidence collection. Provide technical support for IAM-related requests and incidents, ensuring timely resolution and clear communication with stakeholders. 5. Stakeholder Collaboration Partner with Application Development and Business teams to integrate IAM processes and controls into newly on-boarded application and other initiatives. Support change management activities to ensure smooth adoption of new IAM processes and tools. 6. Configuration Validation Perform manual validation of IAM security configurations for applications that cannot be auto-validated. 7. Risk, Compliance & Audit Readiness Maintain IAM-related risk and control documentation as directed by senior team members. Assist with audit preparation including evidence collection, providing timely & accurate responses to audit inquiries and assist in identifying and remediating IAM-related findings. 8. Learning & Knowledge Sharing Continue to develop technical and IAM domain knowledge through training, certifications, and hands-on practice. Share knowledge and collaborate with peers to enhance team capabilities. *This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: Bachelor’s degree OR 3+ years of relevant work experience. Preferred Qualifications: Bachelor’s degree in information technology, Computer Science, or a related field. 2+ years of professional experience with a bachelor’s degree, or an advanced degree (M.S., MBA, JD, MD). 2 or more years of work experience. Deep expertise in Identity & Access Management (IAM) frameworks, policies, and procedures. Proven track record of leading IAM initiatives, driving AI-powered automation from design through deployment. Strong grasp of application architecture, authentication, and authorization models. Advanced data-analytics and scripting skills in Excel, Python, PowerShell, and C, leveraged to build AI-enabled workflow automation and actionable insights. Hands-on experience applying AI and GenAI technologies to IAM solutions. Excellent communication and stakeholder-management abilities. Sharp analytical and problem-solving skills, with a focus on AI-driven use cases. Demonstrated ability to juggle multiple projects and priorities. Industry certifications (CISA, CISSP, CISM) preferred. Solid knowledge of compliance standards and regulations such as GDPR, SOX, and HIPAA. Practical experience with leading IAM platforms (SailPoint, Okta, CyberArk, Password Safe, Microsoft Azure AD), including AI integrations. ​ * This role qualifies for Autorskie Koszty Uzyskania Przychodu (KUP), in accordance with applicable Polish tax regulations. Eligible employees may benefit from preferential tax treatment on income derived from the creation of intellectual property, subject to meeting statutory criteria. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

🏢 Summary: Senior Software Engineer role focused on building and scaling high-throughput payment processing microservices within a SaaS platform. The position involves architecting, developing, and optimizing distributed systems while modernizing legacy monoliths. The engineer will own performance, scalability, and reliability, driving best practices and technical improvements across the stack. 🗂️ Requirements: 12+ years of Java development experience, Experience with Spring framework, Experience with distributed systems, Experience with monolithic and microservice architectures, Experience scaling high-throughput, large-volume systems, Practical experience with Kubernetes, Practical experience with Kafka, Knowledge of TDD, BDD, DDD, OOP, FP, Clean Code, API design, CI/CD, Experience with system observability (metrics, alerts, tracing), Experience with database design and SQL, Fluent English communication skills 📃 Skills: Java, Spring, Kubernetes, Kafka, SQL, CI/CD, TDD, BDD, DDD, OOP, FP, Microservices, Monoliths, Observability 🏢 Description: Dream Big.  Go Beyond. Be Unstoppable. About Us Kyriba is a global fintech leader empowering CFOs and finance teams with cloud-based treasury, payments, risk management and working capital solutions. We serve 3,000+ customers worldwide, managing $15 trillion in payments annually and helping businesses optimize liquidity performance across the enterprise. We're on a mission to become the most sought-after cloud technology company globally. We think big, innovate relentlessly, and challenge the status quo every day. If you are a problem-solver who’s ready to push boundaries and achieve more than you thought possible-you'll find an exceptional career within an extraordinary business. Location: Warsaw About the role We are looking for a passionate Senior Software Engineer to join our Payment Advanced Routing Team based in Poland and France. Our team is dedicated to developing the payments processing core of our SaaS solution. Crucially, our system is engineered to rapidly process massive volumes of payments with the lowest possible latency. Our architecture is primarily based on microservices, though we maintain and integrate with legacy monolithic systems. In this role, you will drive the development of new microservices while ensuring smooth operation and modernization of existing systems. We are looking for a candidate with deep technical insight who is determined to understand the root causes of complex problems and has proven experience navigating both legacy codebases and modern, distributed environments. We value proactive engineers who propose innovative solutions to minimize technical debt and optimize system scalability. Responsibilities Actively participate in architecture definition and develop robust architectural designs for our solutions. Discuss requirements with Product Owners and the Agile Team to design the most effective and scalable solutions. Collaborate with engineers outside of your immediate team to deliver efficient, high-quality outcomes. Autonomously develop new business modules and functions tailored for high-throughput processing. Refactor and optimize existing code to improve performance and limit technical debt. Ensure high-quality deliverables through modern modular design, test-driven development, and robust test automation. Take full ownership of the performance, scalability, and reliability of your software. Drive continuous improvement in engineering processes, technology stack, and best practices. Requirements 12+ years of experience in Java development (Spring) and working with complex distributed systems. Proven experience working with both monolithic and microservice architectures. Strong knowledge and practical experience in scaling applications to efficiently handle large volumes of data and high-throughput processing. Practical, project-proven experience with Kubernetes and Kafka. Strong practical knowledge of good software engineering practices: TDD/BDD, DDD, OOP, FP, Clean Code, API design, and CI/CD. Familiarity with modern deployments and system observability (alerts, metrics, tracing). Solid experience with database design and a strong working knowledge of SQL. Effective verbal and written communication skills in English. A positive, team-oriented attitude, eagerness to learn and grow, a proactive approach, an engineering mindset, and strong problem-solving skills. Benefits Contract Options: Permanent contract (UoP). Compensation: Annual salary increase based on individual performance and a 15% yearly bonus. Work Environment: Fully remote work from anywhere in Poland or on-site work from our Warsaw office. Equipment: MacBook Pro or a Dell laptop with Linux. Productivity Tools: Access to cutting-edge AI tools to enhance your daily efficiency. Professional Development: Access to Coursera, Pluralsight, LinkedIn Learning, and opportunities to attend major industry conferences (e.g., Devoxx). International Collaboration: Work closely with international software development teams and participate in engaging team-building events. Additional Benefits for Permanent Employees (UoP) Tax Benefits: Creative work tax deduction (KUP 80%). Comprehensive Perks: Medical, sports, and life insurance, a lunch card, and an employee capital plan (PPK). Our Values Guide Everything We Do Think Big & Constantly Innovate: We have the confidence to think big, embrace change, challenge the status quo, and continuously evolve - incorporating new technologies and driving industry progress. Put our Customers’ Outcomes First: We are passionate about delivering the highest value for our customers and supporting them with end-to-end care throughout their journey with us. Act with Integrity: Integrity is at the heart of everything we do. We take personal responsibility for our actions, own our decisions, and honour each other’s contributions. We empower each other through honesty, respect, trust and transparency. Work as One Team: We are driven by our common goals and share in each other’s successes and failures, learning and working together as a team where everyone can bring their best selves. Strive for Excellence while Having Fun: We enjoy tackling new challenges together, and revel in continuous improvement as we deliver, with ultimate professionalism, the very best for our customers, while exceeding our own expectations. At Kyriba we value pay transparency and fairness. For new hires, the annual base salary range for this role is zł233,500.00 - zł350,350.00 based on a full-time schedule. Salary can progress beyond this range through sustained performance and demonstrated success in the role. In addition to base pay, this position may be eligible for variable compensation (eg. performance bonus or commission-based plan) and a long-term incentive. The final package will be determined by factors such as skills, experience and qualifications. Kyriba also offers a comprehensive compensation package, including a range of health, welfare and wellbeing benefits designed to support both your professional and personal life. Kyriba believes that everyone has the ability to make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship, and genetic information. We aim to make our recruitment process accessible to everyone. If you need a reasonable accommodation at any point in the application or interview process, or to perform essential job functions, please click here to submit a request. All information provided is confidential, restricted to our accommodations team, and will not impact your candidacy. Please refer to our Candidate Privacy Policy for more information.

🏢 Summary: Staff Software Engineer role focused on owning and evolving billing, payments, and invoicing systems for a high-scale revenue platform processing tens of millions in monthly transactions. The position drives technical architecture, payment integrations, financial correctness, and compliance while partnering with finance and operations teams. You will design resilient distributed revenue systems that ensure transaction integrity, scalability, and auditability. 🗂️ Requirements: 8+ years engineering experience building revenue or payment systems, Proven design of distributed financial systems handling edge cases and transaction integrity, Strong expertise in databases and financial data management, Production experience integrating payment gateways (e.g., Stripe, PayPal), Experience with compliance standards such as PCI-DSS, Ability to design audit logging, reconciliation, and financial reporting systems, Advanced proficiency in Java and JVM internals, Experience using AI-assisted development tools in production codebases, Must be local to Seattle area 📃 Skills: Java, Scala, TypeScript, React, MySQL, PostgreSQL, Snowflake, AWS, Stripe, PayPal, PCI-DSS, Git, GitHub, Datadog, Copilot, Claude, JVM 🏢 Description: Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a Staff Software Engineer to join our Revenue Platform team. In this role, you will own the technical direction for our billing, payments, and invoicing infrastructure, charting the course for a system that already processes tens of millions in monthly transactions. You will balance immediate business needs with long-term architectural improvements, identifying high-impact enhancements and designing practical migration strategies to support our rapid growth. As a technical leader, you will partner closely with engineering, finance, and operations teams to solve complex challenges involving pricing rules, subscription billing, and enterprise invoicing. You are a systems thinker who enjoys understanding how things work and building the roadmaps that improve a platform while it runs. Your work will directly shape how Metropolis monetizes its platform and expands into new verticals beyond parking, ensuring our financial systems remain resilient, compliant, and remarkably efficient. What you’ll do Own the technical architecture and evolution of Metropolis's billing, payments, and invoicing systems, establishing standards for financial accuracy, transaction integrity, and compliance that ensure every dollar is correctly captured and accounted for Design and implement resilient payment processing with support for multiple payment gateways (Stripe, etc.), intelligent routing between processors, retry strategies for failed transactions, and graceful handling of partial failures to maximize payment success rates Build comprehensive monitoring and reporting for revenue operations, including payment success rates, billing accuracy metrics, reconciliation dashboards, failed transaction alerts, and audit trails that provide visibility from customer transactions to accounting close Partner with finance and operations teams on payment failures, billing disputes, refund workflows, and reconciliation issues – building tools and automation that reduce manual intervention and improve mean time to resolution for customer-impacting revenue issues Drive adoption of revenue system best practices across services, including idempotent payment processing, distributed transaction handling, compensation workflows for failures, audit logging, and testing strategies that ensure financial correctness Own integrations with external systems, including payment gateways, ERP, data analytics, etc., ensuring reliable data flow and maintaining compliance requirements across the revenue stack What we’re looking for 8+ years of hands-on engineering experience with a focus on building revenue systems like payment platforms Strong systems thinking for financial correctness with proven ability to design distributed revenue systems that handle edge cases gracefully: partial failures, duplicate requests, timing issues, currency conversion, tax calculation, and maintaining transaction integrity across service boundaries Database and financial data expertise, including transaction isolation, audit logging, point-in-time recovery, handling financial data migrations, and experience with systems that require both high availability and absolute correctness Payment gateway and integration experience with production knowledge of Stripe, PayPal, or similar processors; tax calculation services; accounting system integrations; and the operational reality of depending on external financial services, including compliance requirements like PCI-DSS Excellent technical communication with the ability to influence technical decisions across teams (particularly finance, accounting, and data teams), document complex systems, conduct post-mortems, and establish reliability standards organization-wide Experience with sophisticated usage of rapidly developing AI-assisted development skills in real-world codebases, including fluent use of Claude Code/GPT Codex/Windsurf or similar tools in multi-agent mode, spec-driven development (SDD), MCP/skills optimization, context/prompt engineering Local to the Seattle area While not required, these are a plus BS or MS in Computer Science or a relevant engineering discipline Expert-level revenue systems engineering with hands-on experience building billing platforms, payment processing pipelines, reconciliation systems, and handling challenges like idempotent transactions, failed payment retries, proration logic, multi-currency support, and revenue recognition – you've seen these problems before and know the patterns that work Expert revenue systems engineering with hands-on experience building billing platforms, payment processing, reconciliation, and managing complex challenges like idempotent transactions, payment retries, proration, multi-currency support, and revenue recognition. Financial systems expertise with deep experience implementing audit trails, reconciliation workflows, revenue reporting, and compliance controls at scale – you understand what it takes to maintain penny-perfect accuracy Java expertise with a deep understanding of JVM performance, concurrency, and operational characteristics. Scala experience is a big plus Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection. When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

🏢 Summary: Hands-On Engineering Manager role focused on building and shipping AI-native, agentic banking products that operate across voice, chat, and digital channels. The position involves architecting low-latency distributed backend systems, orchestrating multi-agent LLM workflows, and leading a high-performance engineering team while remaining deeply hands-on. The goal is to deliver production-grade AI systems that autonomously power real-time financial customer experiences. 🗂️ Requirements: 8+ years backend engineering experience, Experience building distributed systems, Experience with low-latency systems (voice, telephony, streaming, chat), 3+ years working with LLM-powered or AI-driven systems in production, Hands-on experience integrating systems with LLMs, 2+ years engineering management or technical leadership experience, Experience designing and orchestrating agentic workflows, Proficiency in Typescript and/or at least two backend languages, Strong understanding of distributed systems, concurrency, reliability, Experience deploying AI systems in cloud environments, Experience building high-concurrency, fault-tolerant systems, Experience implementing observability, monitoring, and testing for production systems, Experience ensuring security and safe handling of financial data 📃 Skills: Typescript, Node.js, Go, Java, Rust, LLM, AgenticAI, DistributedSystems, Concurrency, Telephony, Streaming, Chat, APIs, Cloud, Observability, Monitoring, Testing, Security, ReinforcementLearning, MultiAgentSystems 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role We are building AI-native, agentic products that redefine how customers interact with financial institutions across voice, chat, and digital channels. We are looking for a Hands-On Engineering Manager – Agentic AI Products who operates with an AI-first mindset, has deep backend systems experience, and is comfortable orchestrating multiple AI agents to ship production-grade systems. This role requires someone who: Has built complex distributed backend systems Understands low-latency architectures (voice, telephony, streaming, chat) Is fluent in modern agentic AI engineering Thinks like a founder Leads by building Raises the engineering bar You will architect, review, code, debug, and ship along with building your high performance engineering team. What You'll Do 1. Lead with an AI-First Engineering Mindset Drive AI-first thinking across product architecture and execution. Embed LLMs, multi-agent systems, and structured reasoning into customer-facing workflows. Champion agentic engineering principles across your team. Evaluate and adopt emerging AI capabilities pragmatically and responsibly. Raise the quality bar for AI-generated and human-written code alike. 2. Build and Orchestrate Agentic Systems Architect and implement systems that coordinate multiple AI agents with memory, planning, reflection, and tool use. Be hands-on in coding, agent loop design, evaluation, and reinforcement strategies. Actively participate in the code base Design orchestration layers that convert AI reasoning into reliable execution. Build control frameworks around LLMs for grounding, safety, and deterministic behavior. Develop evaluation pipelines to ensure agents meet production standards. 3. Own Low-Latency, High-Concurrency Backend Systems Design distributed backend systems serving real-time voice and chat interactions. Optimize latency-sensitive systems across telephony, streaming, and API layers. Build event-driven architectures that handle high concurrency and fault tolerance. Implement state management and memory layers for conversational agents. Drive reliability, failover, and graceful degradation strategies. 4. Ship Production-Ready AI Products Ensure AI-generated outputs translate into robust, testable, production-quality code. Maintain high standards for observability, monitoring, and debugging. Build automation and testing strategies for agent-based systems. Ensure security, compliance, and safe handling of financial data. Create durable systems that scale with increasing AI complexity. Lead by example in adopting AI tooling (Cursor, Claude Code, LLM automation) to improve engineering velocity and code quality 5. Operate Like a Founder Demonstrate extreme ownership across product, architecture, and delivery. Drive clarity in ambiguous problem spaces. Move quickly without compromising engineering rigor. Build and grow a high-performance team with bias to action. Set culture around accountability, urgency, and craftsmanship. Required Qualifications 8+ years of backend engineering experience building distributed systems. Strong experience with low-latency systems such as: Voice / telephony platforms Real-time streaming systems Chat or messaging architectures 3+ years working with LLM-powered or AI-driven systems in production Hands on experience building systems that interface with LLMs. 2+ years experience in engineering management or technical leadership with a proven ability to grow and mentor engineers Hands-on experience designing and orchestrating agentic workflows. Strong proficiency in Typescript and/or at least two backend languages (Node.js, Go, Java, Rust etc) Deep understanding of distributed systems, concurrency, and reliability. Experience managing engineers while remaining deeply hands-on. Experience deploying AI systems in cloud environments. Product Mindset: You care deeply about the product experience Strongly Preferred Experience building AI-native customer-facing products. Experience in Fintech or regulated environments. Familiarity with multi-agent architectures and reasoning frameworks. Experience with reinforcement learning or adaptive optimization loops. Experience building structured evaluation and monitoring for AI agents. Who You Are You care deeply about engineering quality and raise the bar for everyone around you. You demonstrate AI-first approaches when solving problems. You move fast and take ownership beyond your scope. You operate with founder-level urgency and accountability. You build teams that execute with discipline and craftsmanship. You are comfortable orchestrating multiple AI agents to produce production-ready outcomes. What Makes This Role Matters? Agentic engineering is changing how products are built. This role defines how: AI systems reason in real time Voice and chat agents operate under latency constraints Financial workflows become autonomous yet safe Multiple AI agents collaborate to produce deterministic, high-quality outcomes You will lead the engineering effort that transforms AI from an assistant into a production-grade system embedded deeply into customer experiences. We value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Palo Alto or San Francisco office hub and this is an -site role. Compensation: Base Salary is expected to be between $200,000 - $240,000, plus performance bonus and equity options Exact compensation may vary based on skills and location. The base salary range represents the minimum and maximum of the salary range for this position based at our Palo Alto headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of out competitive total rewards package, which also includes equity awards (a new hire grant), competitive health and wellness benefits. What We Offer 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Hands-On Engineering Manager role focused on building and orchestrating AI-native, agentic systems for real-time voice and chat in banking. The position combines deep backend distributed systems expertise with LLM-driven multi-agent architectures to deliver low-latency, production-grade AI products. You will lead a high-performance team while remaining hands-on in architecting and shipping scalable, reliable AI systems. 🗂️ Requirements: 8+ years backend engineering experience in distributed systems, Experience building low-latency systems (voice, telephony, streaming, chat), 3+ years working with LLM-powered or AI-driven systems in production, Hands-on experience integrating and orchestrating LLMs, 2+ years engineering management or technical leadership experience, Strong proficiency in TypeScript and/or at least two backend languages (Node.js, Go, Java, Rust), Deep understanding of distributed systems, concurrency, and reliability, Experience deploying AI systems in cloud environments, Experience designing agentic workflows and multi-agent systems 📃 Skills: TypeScript, Node.js, Go, Java, Rust, LLMs, AgenticAI, DistributedSystems, Concurrency, Telephony, Streaming, APIs, Cloud, ReinforcementLearning, Monitoring, Observability 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role We are building AI-native, agentic products that redefine how customers interact with financial institutions across voice, chat, and digital channels. We are looking for a Hands-On Engineering Manager – Agentic AI Products who operates with an AI-first mindset, has deep backend systems experience, and is comfortable orchestrating multiple AI agents to ship production-grade systems. This role requires someone who: Has built complex distributed backend systems Understands low-latency architectures (voice, telephony, streaming, chat) Is fluent in modern agentic AI engineering Thinks like a founder Leads by building Raises the engineering bar You will architect, review, code, debug, and ship along with building your high performance engineering team. What You'll Do 1. Lead with an AI-First Engineering Mindset Drive AI-first thinking across product architecture and execution. Embed LLMs, multi-agent systems, and structured reasoning into customer-facing workflows. Champion agentic engineering principles across your team. Evaluate and adopt emerging AI capabilities pragmatically and responsibly. Raise the quality bar for AI-generated and human-written code alike. 2. Build and Orchestrate Agentic Systems Architect and implement systems that coordinate multiple AI agents with memory, planning, reflection, and tool use. Be hands-on in coding, agent loop design, evaluation, and reinforcement strategies. Actively participate in the code base Design orchestration layers that convert AI reasoning into reliable execution. Build control frameworks around LLMs for grounding, safety, and deterministic behavior. Develop evaluation pipelines to ensure agents meet production standards. 3. Own Low-Latency, High-Concurrency Backend Systems Design distributed backend systems serving real-time voice and chat interactions. Optimize latency-sensitive systems across telephony, streaming, and API layers. Build event-driven architectures that handle high concurrency and fault tolerance. Implement state management and memory layers for conversational agents. Drive reliability, failover, and graceful degradation strategies. 4. Ship Production-Ready AI Products Ensure AI-generated outputs translate into robust, testable, production-quality code. Maintain high standards for observability, monitoring, and debugging. Build automation and testing strategies for agent-based systems. Ensure security, compliance, and safe handling of financial data. Create durable systems that scale with increasing AI complexity. Lead by example in adopting AI tooling (Cursor, Claude Code, LLM automation) to improve engineering velocity and code quality 5. Operate Like a Founder Demonstrate extreme ownership across product, architecture, and delivery. Drive clarity in ambiguous problem spaces. Move quickly without compromising engineering rigor. Build and grow a high-performance team with bias to action. Set culture around accountability, urgency, and craftsmanship. Required Qualifications 8+ years of backend engineering experience building distributed systems. Strong experience with low-latency systems such as: Voice / telephony platforms Real-time streaming systems Chat or messaging architectures 3+ years working with LLM-powered or AI-driven systems in production Hands on experience building systems that interface with LLMs. 2+ years experience in engineering management or technical leadership with a proven ability to grow and mentor engineers Hands-on experience designing and orchestrating agentic workflows. Strong proficiency in Typescript and/or at least two backend languages (Node.js, Go, Java, Rust etc) Deep understanding of distributed systems, concurrency, and reliability. Experience managing engineers while remaining deeply hands-on. Experience deploying AI systems in cloud environments. Product Mindset: You care deeply about the product experience Strongly Preferred Experience building AI-native customer-facing products. Experience in Fintech or regulated environments. Familiarity with multi-agent architectures and reasoning frameworks. Experience with reinforcement learning or adaptive optimization loops. Experience building structured evaluation and monitoring for AI agents. Who You Are You care deeply about engineering quality and raise the bar for everyone around you. You demonstrate AI-first approaches when solving problems. You move fast and take ownership beyond your scope. You operate with founder-level urgency and accountability. You build teams that execute with discipline and craftsmanship. You are comfortable orchestrating multiple AI agents to produce production-ready outcomes. What Makes This Role Matters? Agentic engineering is changing how products are built. This role defines how: AI systems reason in real time Voice and chat agents operate under latency constraints Financial workflows become autonomous yet safe Multiple AI agents collaborate to produce deterministic, high-quality outcomes You will lead the engineering effort that transforms AI from an assistant into a production-grade system embedded deeply into customer experiences. We value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Palo Alto or San Francisco office hub and this is an -site role. Compensation: Base Salary is expected to be between $200,000 - $240,000, plus performance bonus and equity options Exact compensation may vary based on skills and location. The base salary range represents the minimum and maximum of the salary range for this position based at our Palo Alto headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of out competitive total rewards package, which also includes equity awards (a new hire grant), competitive health and wellness benefits. What We Offer 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.