Staff Software Engineer, CG Personal Finance, Financial Assistant Team

Intuit; Oakland (CA); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit is seeking a Staff Software Engineer for the Financial Assistant team in Oakland to own architecture and delivery of AI-powered features, driving technical direction across multiple workstreams. The role is hands-on, requiring coding, design decisions, and mentoring engineers while collaborating with product, design, data science, and platform teams.

You will shape LLM-backed experiences, ensure performance and reliability, and guide large-scale systems to scale for production use.

Qualifications

• 8+ years of software engineering experience with large-scale systems.
• Experience building AI/ML powered features and production services.
• Strong system design skills and ability to lead under ambiguity.

Responsibilities

• Drive technical strategy and architecture for Financial Assistant features.
• Lead cross-team design and delivery from concept to production.
• Write and review production code; establish patterns and best practices.
• Set up guardrails, latency cost, and evaluation strategies for LLM-based features.
• Mentor engineers and influence engineering decisions beyond your team.
• Collaborate with product, design, data science, and platform teams.

Skills

TypeScript

Java

Python

System design

AI/ML

Leadership

Communication

Education

Bachelor’s or Master’s in Computer Science or related field

Job description

Overview

The Financial Assistant team builds the AI-powered experiences that help members understand their finances and make better decisions inside the Credit Karma app. We work at the application layer of AI: turning large language models, agentic workflows, and personalization signals into features members actually use.

Overview

The Financial Assistant team builds the AI-powered experiences that help members understand their finances and make better decisions inside the Credit Karma app. We work at the application layer of AI: turning large language models, agentic workflows, and personalization signals into features members actually use.

We're looking for a Staff Software Engineer to serve as a technical leader on the team. You'll own the architecture and delivery of core Financial Assistant capabilities, set technical direction across multiple workstreams, and raise the engineering bar for how we build production AI products at scale. This is a hands‑on role: you'll write code, make the hard design calls, and mentor engineers, while partnering closely with product, design, data science, and platform teams to ship AI experiences that are fast, reliable, and trustworthy.

Responsibilities

• Drive the technical strategy and architecture for Financial Assistant, including LLM-backed features, agentic/orchestration flows, and personalization systems.
• Lead design and delivery of complex, cross‑team initiatives from ambiguous problem statements through production launch and iteration.
• Write, review, and elevate the quality of production code across services and application logic; set patterns others build on.
• Establish best practices for building with LLMs in production: prompt and context design, evaluation, latency and cost management, guardrails, and quality measurement.
• Partner with product and design to translate member needs into technical roadmaps, and with data science and platform teams on model serving, data, and infrastructure dependencies.
• Identify and resolve reliability, performance, and scalability risks before they reach members; contribute to incident response and operational excellence.
• Mentor senior and mid-level engineers, and influence technical decisions and standards beyond your immediate team.

Qualifications

• 8+ years of software engineering experience, with a track record of leading the design and delivery of large‑scale, high‑impact systems.
• Deep expertise in building and operating production services (strong proficiency in one or more of: TypeScript, Java, Scala, Python, or similar).
• Experience building AI or ML‑powered product features, ideally with LLMs, agentic systems, retrieval, or recommendation/personalization systems.
• Strong system design skills and the ability to make sound architecture decisions under ambiguity and competing constraints.
• Demonstrated technical leadership: setting direction, driving cross‑functional alignment, and mentoring engineers without relying on formal authority.
• Experience with production concerns for AI/ML systems: evaluation, latency and cost tradeoffs, monitoring, and quality/safety guardrails.
• Excellent communication skills, with the ability to explain complex technical tradeoffs to both engineering and non‑technical partners.
• Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The Expected Base Pay Range For This Position Is

Oakland $202,500 - $274,000