Sr. Staff Engineer
Technologies
LLM · prompt engineering · agentic workflows · evaluation systems · React · GraphQL · Ruby · Java · TypeScript · Python
About Betterment
Technology-driven wealth manager offering automated investing, cash, and retirement (401k) products for retail investors, financial advisors, and small businesses.
Series F · 500–1000 people
Job description
The full responsibilities and requirements are on the employer’s site.
Read the job description ↗Source and classification
Deployment team leadership · Evidence for this classification:
About the role The AI Platform team enables product teams across Betterment to build useful AI-powered features quickly, enjoyably, and responsibly. As Sr Staff Engineer, you will work with a team of senior/staff engineers delivering an expanding set of AI capabilities as well as shared infrastructure, LLM evaluation frameworks, and internal libraries. You will help shape and lead the technical direction of our AI product development strategy, working closely with engineering leadership. You will collaborate with product and compliance partners to ensure Betterment's AI capabilities are developed with the rigor that our customers and regulators expect. By joining us in the early days of our AI product efforts, you will have significant influence over how the organization delivers exciting features into the Betterment product across all lines of business. This role is based out of
More from the job description
About the role The AI Platform team enables product teams across Betterment to build useful AI-powered features quickly, enjoyably, and responsibly. As Sr Staff Engineer, you will work with a team of senior/staff engineers delivering an expanding set of AI capabilities as well as shared infrastructure, LLM evaluation frameworks, and internal libraries. You will help shape and lead the technical direction of our AI product development strategy, working closely with engineering leadership. You will collaborate with product and compliance partners to ensure Betterment's AI capabilities are developed with the rigor that our customers and regulators expect. By joining us in the early days of our AI product efforts, you will have significant influence over how the organization delivers exciting features into the Betterment product across all lines of business. This role is based out of our NYC office. Below we've reflected the base salary range we would offer for this position. Actual salaries may vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Betterment’s total compensation package for employees. New York City: $230,000 - $270,000 We offer a competitive equity package, health, dental and vision benefits, life and AD&D, short-term and long-term disability insurance, EAP, commuter and parkin [... source excerpt omitted ...] d. Lead high-leverage projects that expand our organization’s AI technical capabilities, where AI organically enhances existing product value. Partner with product teams to ship customer-facing AI functionality to production. Develop broad Betterment domain expertise in the process. Partner with legal and compliance leaders to scale processes that enable teams to build AI functionality quickly and responsibly within a regulated financial services environment. Mentor and grow senior engineers, sharing your experience to expand their impact and accelerate their growth. What we’re looking for A strong technical lead capable of establishing the strategic vision for Betterment’s [... source excerpt omitted ...] colleagues to build it into reality. Deep expertise in LLM systems, including prompt engineering, agentic workflows, and evaluation systems. Experience operating AI features in production, ensuring quality and auditability via online and offline validation, automated monitoring, and human-in--the-loop oversight. Comfort operating at the frontier. The ability and drive to stay current with emerging tools, techniques, and best practices within the rapidly evolving AI ecosystem. Clear judgment about when to use AI and when not to, maintaining a grounded, pragmatic perspective on what we should ship to production today. Proven track record leading successful projects that affect
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