Engineering Manager

Build the AI workforce that finance can actually trust. We are closing the gap between what AI promises and what regulated institutions can responsibly deploy. If you fall in love with hard problems — not easy answers — this is where your work matters. About the Role: We're looking for a strong Engineering Manager to lead our team of talented AI engineers, full-stack engineers, and data scientists. You’ll join our team as one of our earliest senior leadership hires. You will lead multiple, cross-functional AI engineering pods, each dedicated to a specific customer project. In this critical role, you'll be managing high-quality delivery, technical excellence, and the growth and well-being of your engineers. You will be the force multiplier ensuring our project teams are productive, happy, and operating at peak efficiency while championing best practices in reusability and reliability across all customer solutions. This is a hybrid, high-ownership role based in New York , with regular in-office collaboration. What You’ll Do: Drive Engineering Best Practices: Champion and enforce engineering excellence, coding standards, and disciplined development processes (e.g., code reviews, testing, documentation) across all pods. Focus on Reusability & Reliability: Strategically guide pods to build solutions with an eye toward reusable components, scalable architecture, and long-term reliability. Identify common engineering challenges and drive solutions that benefit all customer projects. Architecture & Design Oversight: Provide technical guidance and participate in high-level architectural and design discussions to ensure solutions are robust, maintainable, and align with company standards. Ensure Timely & High-Quality Delivery: Monitor project health, manage risks, and proactively remove technical and process roadblocks to ensure the timely and successful delivery of customer projects. Resource Allocation: Strategically allocate engineers to pods based on project needs, skill sets, and career development goals, optimizing overall team utilization. Process Improvement: Continuously evaluate and improve the pods' development lifecycle, from requirements gathering to deployment, to increase efficiency and quality of output. Cultivate a High-Performing Culture: Foster an inclusive, collaborative, and psychologically safe environment where engineers are productive, motivated, and happy. Mentorship & Coaching: Provide ongoing coaching, mentorship, and career development support to engineers, helping them set and achieve ambitious goals and grow their technical and soft skills. Performance Management: Conduct regular 1:1s, performance reviews, and provide constructive feedback to support the growth and accountability of team members. Hiring & Onboarding: Actively participate in the recruitment and successful onboarding of new engineering talent to scale the team effectively. Expectations: Customer-obsessed : You’re comfortable interfacing with clients, unblocking deployments, and delivering value. Structured thinker : You can distill ambiguity into clear problem statements and action plans. Builder mindset : You thrive in zero-to-one environments and are comfortable wearing multiple hats. Experience: 10+ years of experience in software development, with a strong background in a specific engineering discipline (e.g., backend, frontend, full-stack) Experience working in a customer-facing or consultancy environment where projects have hard deadlines and specific client requirements 5+ years of experience managing and leading engineering teams, preferably managing multiple simultaneous projects or teams (pods). Proven track record of driving engineering best practices, code quality, and implementing initiatives focused on system reliability and component reusability. Demonstrated ability to balance the demands of multiple projects and effectively manage priorities and expectations with both technical teams and non-technical stakeholders. Excellent communication, interpersonal, and conflict resolution skills. Experience with agile methodologies (Scrum, Kanban, etc.). Base compensation range: $250,000 - $300,000 Plus Annual Bonus + Equity About Us: Obin AI is an enterprise artificial intelligence company building the next generation of agentic intelligence for financial services. The company develops a production-ready AI workforce that runs defined workflows end-to-end inside a firm’s controls and audit boundaries, encoding institution-specific logic and producing traceable, inspectable outputs. Because of its open, no-lock-in architecture and ability to resolve even nuanced edge cases, Obin AI is trusted by leading global financial institutions representing over $1 trillion in assets under management. Obin AI enables these organizations to standardize and accelerate their core workflows — continuous monitoring, scalable underwriting, and earlier risk detection — without scaling teams or compromising governance. Founded by seasoned leaders from Google AI, JPMorgan and Silver Lake, Obin AI is reimagining how financial firms operate — deploying AI workers directly within live workflows to expand decision capacity under institutional controls. Obin AI is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.