About this role
Role Overview
The AI Enablement Lead at Upside is a full-time hybrid position based in Austin, requiring a professional with 5 to 8 years of experience to direct the roadmap of the Ascent platform. This role suits an experienced practitioner who can translate a fast-evolving technical platform into clear priorities, actionable specs, and strategic business decisions.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Upside operates a commerce platform transforming brick-and-mortar retail by applying online retail analytics like profit measurement, attribution, and incrementality. Millions of consumers utilize the platform to earn increased cashback, while hundreds of thousands of retail partners gain measurable profits. Billions of dollars in commerce flow through the ecosystem, supporting local retailers, consumer savings, and environmental sustainability initiatives.
How to Apply
Interested candidates should submit their application directly through the official Upside careers page. Please note that resume submissions via third-party agencies or unauthorized email addresses are not accepted.
Questions candidates ask
What is the primary focus of the AI Enablement Lead?
The AI Enablement Lead owns the end-to-end roadmap for Ascent, which is Upside's shared AI infrastructure platform containing both the Software Factory engineering program and the Enterprise Track.
Does this role include direct reports?
No, this position has no direct reports. Influence and leadership are driven through the quality of product specifications, technical credibility, and alignment across engineering teams.
What is the salary range for this position?
The U.S. base salary range for this full-time role is $200,000 to $220,000 per year, accompanied by equity and comprehensive benefits.
Where is this job located?
This hybrid role is based out of the Austin office, alongside options for Chicago, DC, or NYC, with mandatory in-office attendance on Mondays, Tuesdays, and Thursdays.
What level of experience is required?
Candidates must have 5 to 8 years of experience leading platform-level or zero-to-one initiatives from ambiguity to a working roadmap, alongside hands-on proficiency with AI coding agents.
