Head of Core ML Products

The Role: We’re looking for a Head of Core ML Products to accelerate and innovate on the ML/AI-driven systems that decode, enrich, and connect billions of data points we ingest from receipts and other behaviors to help over 12.5M users Live Rewarded. These technologies fuel nearly every surface of the Fetch app, from personalized shopping recommendations and insights to campaign measurement and capturing anomalous user behavior.
You’ll be joining Fetch at an inflection point, where new technologies and tooling are evolving our ways of working and building products. You’ll dig deep into product and engineering workflows, and ensure every aspect of our Core ML Products are highly accurate and performant.
Role Responsibilities:

• Own the vision, strategy, and execution for our receipt scanning, product matching, catalog enrichment, and user trust/safety products, which power both consumer and B2B experiences across Fetch.
• Collaborate cross-functionally with our core ML and AI teams, including our Chief AI Officer, LLM Labs, Sales Operations and Go-To-Market to ensure we deliver scalable, accurate, user-centric and compliant solutions. 
• Collaborate across the Product Org to ensure systems capturing receipt and behavioral intelligence are deeply embedded into consumer experiences and brand outcomes (e.g., targeting, measurement)
• Build the intelligence and rules-engine that power anomalous behavior detection and user education, and establish brand trust within the Fetch ecosystem.
• Lead and grow a high-performing team to support your goals, providing guidance on product craft, technical partnership, and cross-functional delivery while also directly owning strategic initiatives of your own.
• Use data, experimentation, and instincts to drive prioritization, define success metrics, and course-correct as needed.
• Immerse yourself in the Fetch consumer and partner experiences to become an expert in your subject area; you live on our apps
• No excuses; take ownership and responsibility for outcomes, and be ready to take action to remediate issues and solve tough problems in a fast-paced environment

Minimum Requirements:

• Strong track record of building and scaling ML/AI/LLM-driven, data-intensive systems, ideally involving product catalogs, taxonomy design, or computer vision.
• 10+ years of product management experience
• 2+ years managing PMs or cross-functional pods
• Adept at navigating highly technical conversations with engineering and ML leaders, while keeping user outcomes at the center.
• Skilled in experimentation and data interpretation, including hypothesis-driven development and continuous learning.
• Confident setting strategy, framing tradeoffs, and aligning stakeholders across product, engineering, analytics, ops, and executive teams.
• Thrive in ambiguity and move quickly, defining your own roadmap when necessary and making bold bets when the time is right.
• Comfort guiding teams through system migrations, technical debt paydown, or large-scale data infrastructure evolution.
• Experience with consumer or retail data platforms, such as in ecommerce, loyalty, ads, or retail tech.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.