AI Engineer, Product

This job was selected by the SpringCube team to help AI, Data and Cloud Engineers discover relevant San Francisco Bay Area employers. Sign up to view the full employer details and apply directly with the hiring company.

Company Overview

A leading financial technology company provides an intelligent finance platform that helps businesses manage spending, payments, banking, and travel across more than 200 markets. Its platform combines corporate cards, banking services, spend management, bill pay, and travel software to provide finance teams with greater visibility, automation, and control.

The organization serves tens of thousands of companies across various industries and is focused on using artificial intelligence to simplify complex financial operations. Its AI engineering teams develop intelligent and autonomous systems that integrate financial data with product and platform infrastructure to automate workflows and support real-time decision-making.

The organization is seeking an AI Engineer, Product to help build an AI-powered audit system that reviews customer spending at scale and automates work traditionally performed by manual review teams.

The role will focus on building the product infrastructure surrounding AI agents, including workflows, user interfaces, data flows, system integrations, and feedback mechanisms. The successful candidate will work across backend and frontend systems, selecting the appropriate technical approach based on the customer problem being solved.

The majority of the work will focus on backend engineering, including system design, data modeling, and API development, while a meaningful portion will involve building customer-facing user interfaces in collaboration with frontend engineers.

Key Responsibilities

• Build and ship customer-facing features in production, from initial concepts through rollout and continuous iteration based on customer feedback.
• Design and maintain the workflows, interfaces, and data flows that make AI agent outputs useful and trustworthy for customers and reviewers.
• Define data contracts between AI agents and the financial system of record and evolve those contracts as product requirements develop.
• Build feedback and evaluation loops that capture product signals and translate them into improvements to workflows, interfaces, and AI-powered experiences.
• Run experiments involving customer-facing behavior, UI flows, prompt-driven product changes, and new review experiences.
• Analyze product and customer data to guide decisions about future product development.
• Communicate directly with customers and reviewers to understand their needs and incorporate feedback into product priorities.
• Collaborate closely with engineers working on AI agent design and customer-facing experiences.
• Translate ambiguous product requirements into reliable, production-ready features.
• Contribute across backend and frontend systems based on the needs of the customer and product.
• Help ensure the integration between AI reasoning and human workflows functions as a reliable product experience.
• Collaborate across team boundaries and contribute to decisions involving agent design, user experience, and data architecture.

Required Qualifications

• Strong track record of shipping customer-facing features end-to-end across both backend and frontend systems.
• Strong product mindset with the ability to prioritize users, workflows, and business outcomes.
• Experience working effectively in ambiguous environments where requirements may not be fully defined.
• Willingness and ability to communicate directly with customers and incorporate their feedback into product decisions.
• Strong bias toward action and experience building and shipping products or features that did not previously exist.
• Ability to work across team boundaries and contribute to technical and product decisions outside of direct ownership.
• Strong backend engineering foundation, including system design, data modeling, and API design.
• Ability and willingness to build frontend experiences when the customer problem requires direct UI development.
• Ability to move fluidly between backend and frontend engineering based on product requirements.
• Strong communication and collaboration skills.
• Ability to translate complex AI and technical capabilities into practical customer-facing workflows.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

1.No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.

2.No Client Relationship: This company is not a client of SpringCube unless stated.

3.To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.

4.No Liability: SpringCube is not liable for inaccuracies.