The Company CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week.

2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK.

Pre-IPO. The Role We have thousands of enterprise users, proven product-market fit across digital shelf analytics, retail media, and sales operations, and the Fortune 100 running on our platform. That part works.

Now we are building something new: autonomous AI agents that are already in customer hands and scaling fast. This is a 0-to-1 build inside a company that has the distribution, the data, and the customers to make it real. The AI Labs team operates as a startup within the company.

It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK.

Mountain View is the center of gravity for AI leadership. This role reports directly to the Founders. We ship with Claude, GPT-4, and open-source models in production .

Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt.

The next leader will know the difference.

What You Will Do

Deploy AI Solutions with Customers Work directly with enterprise customers to implement AI agents and workflows across content, media, and sales use cases Customize and adapt CommerceIQ’s platform to fit real-world customer environments Drive rapid iteration cycles based on customer feedback and usage Bridge Customer Needs with Product Engineering Translate ambiguous business problems into technical solutions and product

Requirements

Provide structured feedback to product and engineering teams to improve core platform capabilities Identify patterns across customers and help shape repeatable product features vs one-off solutions Lead a High-Impact Engineering Pod Manage a small team of engineers focused on customer deployments and solutioning Ensure high quality of delivery while maintaining speed and adaptability Balance hands-on technical software development with ai tools like claude, cursor (~40%) with leadership and stakeholder management Drive Business Impact Understand customer KPIs and ensure deployed solutions drive measurable outcomes Act as a trusted technical advisor to customer stakeholders Partner with GTM and Customer Success teams to expand and deepen customer value Close pilots Shape the Future of AI at CommerceIQ Bring frontline insights into how AI is used in production Influence how CommerceIQ evolves from SaaS to AI-native workflows and agents Help define best practices for deploying AI systems at enterprise scale What We Look For This is not a caretaker role. We need a builder. Here is what matters: Builder with Customer Instinct.

Experience working in customer-facing engineering, solutions engineering, or consulting roles Background in technology consulting, business consulting, or forward deployed engineering Ability to operate in ambiguous environments and solve real business problems AI Product Exposure. LLM-powered features AI copilots / assistants Workflow automation Understanding of how AI systems behave in real-world production environments Product Business Thinking.

Forward Deployed Engineering Manager