Manager, AI Automation

BILL•San Jose, UT

23h

About The Position

Innovate with purpose At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters. Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks. BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another. ✨ Let’s give businesses more time for what matters. Make your impact within a rapidly growing Fintech Company We are seeking a seasoned Manager of Intelligent Automation to spearhead our initiatives within a rapidly growing Fintech company. In this pivotal role, you will lead our transition from traditional RPA to a comprehensive AI-driven automation ecosystem, overseeing the end-to-end development of both RPA solutions and AI agents designed to automate complex manual processes. As a dynamic engineering leader within our Business Technology team, you will report to the Head of Business Technology Engineering and collaborate with leadership to elevate our existing practices. Your mission is to establish a framework that democratizes automation and AI across all business functions, driving significant ROI and operational efficiency.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or related field
8+ years of progressive experience in automation delivery, with 2+ years specifically in Automation Anywhere RPA platform
AI Expertise: Proven experience building and deploying AI agents to automate manual processes, complemented by a working knowledge of Generative AI and prompt engineering.
Operational Rigor: Demonstrated ability to maintain strong operational rigor in a fast-paced environment, including managing production support, monitoring bot/agent performance, and maintaining strict adherence to SDLC and security standards.
Technical Stack: Strong understanding of technology stacks including Salesforce, NetSuite, and related business applications.
Project Management: Demonstrated experience using Agile frameworks and change management to drive complex projects to completion.
Analytical Depth: Strong business and process analysis skills with an analytical mindset capable of solving complex problems through innovative optimizations.
Communication: Excellent interpersonal skills with the ability to articulate and quantify the business value of AI and automation to stakeholders at all levels.

Nice To Haves

Experience in the Fintech industry is preferred

Responsibilities

Team Leadership: Manage a team of engineers and analysts to implement automation and AI projects, ensuring every initiative delivers measurable business value.
AI Agent Development: Lead the design, development, and deployment of AI agents and RPA solutions that align with organizational goals.
Process Optimization: Conduct end-to-end process reviews to identify pain points and opportunities for simplification, standardization, and AI-driven innovation.
Strategic Collaboration: Partner with business units to identify automation opportunities, prioritizing projects based on ROI and their potential to integrate with existing systems like Salesforce and NetSuite.
Governance & Testing: Establish a comprehensive testing framework and ensure all deliverables align with governance, change management, and industry best practices.
Solution Design: Recommend improvements including business process changes, system configurations, and the deployment of autonomous agents to address upstream and downstream impacts.