Software Engineer

Vestwell is the financial technology company powering the new savings economy. The New York City-based fintech platform redefines how people save for the critical aspects of life across retirement, education, and healthcare savings needs. Today, Vestwell enables over 790,000 businesses and more than 2.75 million active savers, with over $57 billion in assets saved across all 50 United States. 

Vestwell offers a range of products, including workplace-delivered retirement plans, employer-offered student loan repayment benefits, and various savings accounts for education, emergencies, and individuals with disabilities.

Vestwell's platform serves a diverse clientele, including financial advisers, employers, third-party administrators, financial institutions, payroll providers, government agencies, and individual savers. To learn more, visit vestwell.com

Who Are We Looking For?

The Engineering team is seeking an experienced Engineering Manager to lead our AI Engineering organization. This leader will be responsible for building and scaling the engineering team that delivers AI-powered products and enterprise capabilities. You will combine strong technical leadership with exceptional people management, partnering closely with Product, Design, Data, and business leaders to define strategy, execute against ambitious roadmaps, and deliver reliable, production-grade AI solutions.

The ideal candidate has a proven track record of leading high-performing engineering teams while remaining technically credible in modern AI and software engineering. You know how to balance execution with long-term architecture, mentor engineers, raise the engineering bar, and build systems that scale.

You’re a great fit if you enjoy developing people as much as technology, can navigate ambiguity, and are passionate about delivering AI solutions that create measurable business value.

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What Will You Be Doing?**

Your responsibilities will include, but are not limited to:

• Lead, mentor, and grow a team of AI software engineers, fostering a culture of technical excellence, ownership, and continuous learning.
• Drive engineering execution by establishing priorities, managing delivery, and ensuring predictable, high-quality outcomes.
• Define the technical architecture and engineering direction for AI platforms, services, and enterprise applications.
• Partner with Product, Design, Data Science, Security, and business stakeholders to translate business objectives into scalable technical solutions.
• Architect, build, and oversee the delivery of production-grade AI services with a focus on reliability, scalability, observability, and operational excellence.