Solve Package Management Permanently
Head of Core ML Products
Location
United States
Posted
6 days ago
Salary
$272K - $320K / year
No structured requirement data.
Job Description
- 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
- 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.
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