Agent Deployment Strategist

About Anglera

Shopping is about to look very different.

People will ask AI agents what to buy. They will use conversational search to compare products.

Most retail catalogs were not built for this world. They have missing attributes, inconsistent taxonomy, specs trapped in PDFs, messy supplier files, and millions of SKUs that were barely good enough for keyword search, let alone AI-driven discovery.

Anglera fixes this. We help the world’s largest retailers, marketplaces, and brands turn messy catalog data into complete, structured, AI-ready product data at scale.

We are YC-backed, based in San Francisco, growing fast, and already working with Fortune 500 retailers and iconic consumer brands. The team comes from Stanford AI and Uber Eats, where we built catalog AI systems for millions of SKUs.

The Role

We are hiring a Deployment Strategist to lead our most important customer deployments.

You will work directly with large retailers and brands that have hundreds of thousands, sometimes millions, of SKUs.

Their data is messy. Their systems are complicated. And the problem matters because getting the catalog right directly impacts search, conversion, merchandising, and AI visibility.

Your job is to walk into that complexity, figure out what needs to happen, and drive it to production.

You will scope the problem, design the deployment strategy, work with the customer, coordinate with engineering, prove ROI, and turn what you learn into product direction.

You will help build the playbook for how Anglera deploys across the largest retailers and brands in the world.

What You'll Do

• Own enterprise deployments end to end. Take ambiguous catalog problems from first customer conversation to live production workflow.
• Run high-stakes POCs that convert. You will prove value on real customer data, fast.
• Translate messy data into a clear plan. Work across SKUs, attributes, taxonomies, supplier files, PIMs, ERPs, enrichment workflows, and customer-specific business rules.
• Turn customer signal into product direction. Spot the patterns across enterprise deployments and push those insights back into the product.
• Build the deployment playbook. Create the systems, templates, and operating rhythm that future deployment hires will use.

Who We're Looking For

• You have 3+ years in solutions engineering, product, technical implementation, consulting, or another role where you owned messy customer problems end to end.
• You are data-fluent. You do not need to be a software engineer, but you should be comfortable with product data, spreadsheets, schemas, mappings, transformations, and technical customers.
• You are strong with enterprise customers. You know how to build trust, manage stakeholders, and keep momentum inside large organizations.
• You communicate clearly. You can write a sharp follow-up email, present to executives, and explain technical work in business language.
• You like ambiguity. This role has structure, but very little bureaucracy. You should be energized by figuring things out from first principles.
• You have high ownership. Nobody should need to chase you. You see the problem, own the outcome, and move.
• You are based in San Francisco and excited to work in person.

Why This Role

Every retailer, brand, and marketplace is trying to understand what AI means for commerce. Chatbots and agents are the obvious layer. Product data is the foundation underneath them.

You will work directly with founders, influence product, own major customer outcomes, and help define how enterprise retailers prepare their catalogs for AI.

Competitive comp, meaningful equity, and a role with real leverage.