Company Description
AirShelf AI is the Agentic Commerce Platform. We transform product catalogs into AI-ready API feeds - so products get discovered and purchased whether the shopper is ChatGPT, a personal AI assistant, or one of dozens of emerging vertical agents built on open frameworks like OpenClaw. The agent landscape is fragmenting fast. We make sure brands show up and gets bought everywhere.
Backed by Antler (Singapore), one of the world's most active early-stage VCs, and incubated at HP Garage 2.0 (Singapore), we already have enterprise clients in our pipeline. With over a decade each in the trenches, our cofounders built the tech and business stacks behind leading OTAs and eCommerce platforms in APAC from scratch - systems operating across multiple markets, serving millions of users. They didn't just ride the eCommerce wave - they helped create it in past 15 years, and scaled platforms through the category's explosive growth. We also count CXOs from household-name brands as advisors. At AirShelf, you'll work directly alongside the founding team from day one.
Why This Role Exists
Most companies split product and engineering into separate people. We don't - especially at the founding stage. We need someone who has lived in the world of Catalog Management and Enrichment - who has felt the pain of messy SKUs, broken taxonomies, and clunky PIMs and who can also build the AI-native alternative with their own hands.
You talk to the customer at 10am. You ship a working prototype by 4pm. That's the person we're looking for.
What You'll Own
Product:
- The entire product roadmap for AirShelf's Catalog/PIM platform - from discovery through to production
- Defining how AI agents interact with product data: enrichment, classification, syndication, and quality assurance
- Working directly with enterprise clients to translate their pain into product decisions
- Monitoring market trends and gathering user feedback to continuously refine product strategy
Engineering:
- Building agentic workflows that autonomously enrich, classify, and syndicate catalog data across channels and AI interfaces
- Designing and shipping LLM-powered reasoning systems that understand product taxonomies, brand guidelines, and marketplace requirements
- Building AI-ready API feeds that transform raw product data into structured, discoverable formats for AI agents
- Owning data integration, system architecture, and production-grade pipelines that handle millions of SKUs
- Shaping the core platform architecture alongside the founding team
Who You Are
The Catalog/PIM Spike:
- You have deep experience managing messy SKUs, complex taxonomies, and product data at scale
- You understand the mechanics of PIMs (Salsify, Akeneo, inRiver) but are ready to build something 10x faster and smarter
- You have strong product instincts - you can talk to a customer, identify the core problem, and ship a solution within days
The Builder Spike:
- You're already building with AI - prototyping with LLMs, agents, or automation tools
- You can architect a system and also debug a gnarly edge case at 2am. You ship, not spec.
- Deeply fluent in Python, TypeScript/Node, or Go. Bonus: vector databases, knowledge graphs, or large-scale data systems
The Mindset:
- You thrive in ambiguity. Early-stage chaos is fuel, not friction.
- High agency - you don't wait for permission. You see a gap, you fill it.
- Strong analytical and problem-solving skills, including experience in data integration and system architecture design
What You Get
- Meaningful founding equity - this is a partner-level role, not a job
- APAC time zone, remote-first with periodic in-person collaboration
- You will own the product AND the code for a massive opportunity at the intersection of AI and commerce
- Work alongside cofounders who have built and scaled commerce tech serving 100+ countries
- Direct access to enterprise customers from day one
- Career acceleration that is only possible at the founding stage
Hiring Process
Fast, human, and real.
- Intro Call - Chemistry and mission alignment (30 min discussion with CEO, then CTO)
- Builder Challenge - A real build test. Show us how you think, prioritise, and ship.
- Deep Dive - Product + technical discussion on your catalog experience and systems thinking
- Mutual References - We share ours, you share yours. Transparent comp and equity discussion.
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