About the job
Company Overview
CommerceIQ’s AI-driven digital commerce platform is transforming how brands operate online. Our integrated ecommerce management solutions empower brands to make swift, informed decisions through insights that enhance the digital shelf, maximize retail media ROI, and drive additional sales across leading global marketplaces. With a network of over 900 retailers, our comprehensive platform assists more than 2,200 top brands in optimizing their marketing, supply chain, and sales operations to effectively expand their market presence in over 50 countries. We proudly serve 10 of the top 12 CPG brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez. Having raised over $200M from prominent investors such as SoftBank, Insight Partners, and Madrona, we are poised for continued growth. Discover more at commerceiq.ai.
The Role:
As a Forward Deployed Engineer, you will collaborate closely with our founders and AI Product Managers to design and implement AI-based solutions addressing our clients’ critical challenges. This role is pivotal, offering high visibility as you will report directly to our Head of AI Strategy and Outcomes. You will also engage with key members of the executive leadership team based in Mountain View, work alongside our engineering team in Bangalore, and interact daily with enterprise clients. Your contributions will be essential in defining our engagement with key customers, establishing the company's inaugural forward deployed engineering function, and advancing our mission to assist brands in thriving in AI-driven e-commerce.
Location / Travel:
This position is on-site in Toronto, Ontario, Canada, with approximately 50% travel expected to client locations. Candidates located in the Toronto area will be prioritized.
What You'll Do:
- Build prototypes with customers: Collaborate with our AI Product Manager to identify real-world challenges, rapidly scope use cases, and develop functional prototypes. Engage in hands-on discovery and transform insights into practical demos for potential and existing clients.
- Integrate data and create new AI agents: Acquire data from various sources (ERPs, ecommerce platforms, custom APIs) and develop agents tailored to the specific use cases identified during discovery. This involves translating unique business rules into runtime-editable settings instead of static logic.

