Betterment
Sr. Staff Engineer
Betterment HQ - New York City · Staff+
No sponsorship$230k-$270kDetected 20 days ago
TypeScriptPythonJavaC#RubyReactFull-Stack DevelopmentGraphQLLLMsMentoring
About the role
- 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.
- This role is based out of our NYC office.
- Below we've reflected the base salary range we would offer for this position.
Responsibilities
- The AI Platform team enables product teams across Betterment to build useful AI-powered features quickly, enjoyably, and responsibly.
- 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.
- Work with a team of senior/staff engineers building the foundation that enables all Betterment teams to deploy AI features.
- Define and drive Betterment's AI platform strategy - the shared infrastructure, evaluation frameworks, internal libraries, and guardrails that allow product teams to build AI features with confidence and speed.
- 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.
Requirements
- 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.
- Proven track record leading successful projects that affect and development workflows used by multiple teams.
- Fullstack development experience including React, GraphQL, and one or more server-side languages (Ruby, Java, TypeScript, C#, Python, etc.)
Nice to have
- Day-one 401(k) match plus matching on qualified student loan payments.
- What happens next
- We'll take a few weeks to review all applications.
- If we'd like to spend more time with you, we'll reach out to arrange next steps, which will include 3-4 sets of meetings with your future colleagues.
- Many of our questions will be aimed at understanding how you might operate here at Betterment.
- Depending on the role, we may ask you to complete a case study exercise or technical assessments, as we want to collect a robust set of data points to better inform our decisions.
- On average, it takes us around 3-5 weeks to make a hiring decision, depending on your availability and sense of urgency.
- As a best practice, we aim to interview at least 2-3 final round candidates before making a hiring decision.
Compensation
- Below we've reflected the base salary range we would offer for this position.
- The range listed is just one component of Betterment's total compensation package for employees.
Benefits
- Equity for all employees, including new hire and refresher grants.
- Flexible paid time off, paid parental leave, and a fully paid four-week sabbatical in your sixth year.
- This job may also be eligible for variable compensation in the form of a company incentive bonus.
Company info
- Company-paid professional coaching for all employees.
- 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.
Visa & Work Authorization
- us as a transgender or transsexual individual), sexual orientation, marital status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, predisposing genetic ch
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This listing is sourced directly from Betterment's careers page and normalized into a canonical job model.