Digital Product Manager Beaverton Oregon United States (Onsite)
ABOUT THE ROLE
We are seeking an experienced Product Manager to join our Data Science and AI team. This role is ideal for someone with a strong technical background and proven expertise in managing analyticsdriven and AIpowered products. The ideal candidate thrives in collaborative fastpaced environments enjoys solving complex user problems and is passionate about driving measurable business impact through cuttingedge technology.
This role focuses on Data Science Product Management so prior experience managing AI/MLbased products is strongly preferred.
We are looking for candidates who:
- Can craft and communicate a compelling product vision.
- Enjoy gathering user requirements and translating them into actionable workstreams.
- Have experience partnering with Data Science and Engineering teams to prioritize and deliver impactful results.
- Excel in ambiguity and can consistently demonstrate measurable business impact.
WHAT YOULL BRING
Education & Experience:
- Bachelors degree or advanced degree (MS/PhD) in an applied quantitative field or equivalent experience at a leadingedge company.
- 5 years of experience managing and building data science products powered by AI/ML in large organizations.
Expertise in AIPowered Product Development:
- Proven track record of collaborating with data scientists engineers and designers to solve user problems using AI/MLdriven platforms or tools.
- Demonstrated experience with the endtoend lifecycle of AI product development and deployment.
Industry Knowledge:
- Relevant experience in the Retail industry including areas such as Planning Supply Chain Processes Product Creation & Merchandising Commerce Experiences Marketing or Membership.
Communication & Collaboration:
- Outstanding written and verbal communication organizational skills analytical abilities and attention to detail.
- Ability to build strong crossfunctional relationships remove obstacles and enable team success.
Product Advocacy & Leadership:
- Proven ability to articulate a products value proposition functionality and adoption strategies tailored to diverse audiences.
- Strong decisionmaking skills in ambiguous situations leveraging domain and industry expertise.
Analytical Mindset:
- Experience utilizing both qualitative and quantitative analysis techniques to measure and demonstrate business value.
Technical Acumen:
- Indepth understanding of technology systems and ecosystems with the ability to support teams in overcoming roadblocks.
- Familiarity with Agile methodologies such as Scrum Lean and Kanban.