Wildcard helps ecommerce brands win in AI shopping. We show brands where their products appear across AI surfaces, where competitors are winning, what changes will improve visibility and business outcomes, and we build agents and workflows to help automate that execution.
You’ll work directly with me, Kaushik Mahorker, founder of Wildcard.
Previously at Scale AI, I built the ecommerce enrichment engine behind the company’s largest pilot across 400K SKUs, 2.8M attributes, and hundreds of taxonomies, helping secure $15M+ in contracts with major retailers and marketplaces.
That experience made something clear: shopping discovery is being rebuilt for an AI-first world, and most brands are not prepared for the shift.
We’re looking for a Founding Engineer to help shape both the product and the company from an early stage.
This is a high-ownership role. You’ll help decide what gets built, how it gets built, what gets prioritized, and how we move as the market evolves.
If you want to help shape the product, architecture, and direction of the company from day 1, we’d love to hear from you.
Wildcard is the AEO and GEO platform designed specifically for e-commerce and retail brands. We help merchants improve visibility across AI search and AI shopping platforms like ChatGPT, Google AI Overviews, Gemini, and Amazon Rufus.
Wildcard tracks how brands, categories, collections, and SKUs appear across AI search results, identifies visibility gaps, and turns those insights into actions. We use AI agents to enrich product data, generate SEO, AEO, and GEO content, create collection and comparison pages, build FAQs, and improve off-site discoverability across Reddit, YouTube, blogs, and other sources.
As AI shopping evolves, Wildcard is building the infrastructure brands need to win in agentic commerce, including support for emerging standards like the Agentic Commerce Protocol (ACP) and Universal Commerce Protocol (UCP).
Salary
$125,000 - $225,000
Equity
0.5% - 3.5%
Location
San Francisco, CA, US
Experience
3+ years