You will own the vision, strategy, and roadmap for the merchant platform, building tools that enable retailers to manage catalogs, pricing, and performance within the AI shopping ecosystem. You will collaborate across engineering, data, and partnerships to drive merchant adoption, catalog quality, and revenue growth.
Identify, negotiate, and close high-value brand and retailer partnerships to expand the shopping network and create revenue opportunities. Develop scalable merchant acquisition processes and coordinate with internal teams to ensure successful onboarding and integration.
Develop and execute a comprehensive lifecycle roadmap across email, SMS, and push channels to drive user activation and retention. Build scalable templates and personalized, event-based messaging to turn new signups into habitual users.
Define and evolve accuracy metrics and evaluation frameworks to measure the performance of the AI shopping agent. Lead the science work to improve agent quality through LLM judge fine-tuning and rigorous experimentation.
Design and build scalable backend services that integrate LLMs and ML models into production-ready AI product experiences. Collaborate with cross-functional teams to maintain data pipelines and ensure high system performance, reliability, and observability.
The Senior MLOps Engineer will own the end-to-end ML lifecycle, including model packaging, deployment, monitoring, and optimization for a custom inference platform powering a conversational shopping agent. Responsibilities include building and optimizing production-grade ML pipelines and defining strategies for model versioning, rollout, and lifecycle management.
