Overview:
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.
Responsibilities:
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
Key Responsibilities:
* Define and communicate AI product vision, roadmap, and business requirements through close stakeholder collaboration with the AI Office
* Own and prioritize the product backlog based on value, goals, capacity, and ROI, emphasizing paired data scientist/engineer work
* Manage the AI initiative pipeline, balancing near-term delivery with long-term strategy and early production integration
* Write, decompose, and accept Epics as the primary unit of value; partner with the team to create high-quality User Stories
* Drive delivery outcomes by monitoring product performance, using data insights to improve deployment speed, maintainability, and quality
* Manage stakeholder expectations and budgets by balancing priorities with feasibility, advocating collaborative development to maximize value
Qualifications:
Education and Experience:
* Bachelor's degree in computer science, Information Systems, or a related field
* Advanced degree (Master's or higher) in computer science, Information Systems, or a related field preferred
* 4+ years in product management, focusing on data-driven/AI/ML solutions, ideally in agile
* 3+ years of industry experience building machine learning and deep learning based software applications
* Certification in agile methodologies such as Certified Scrum Product Owner (CSPO) preferred
Skills and Qualifications:
* Strong understanding of agile/scrum, including paired programming principles
* Proven ability to manage stakeholders and communicate effectively with technical and business teams
* Experience managing product backlogs and delivering value via prioritized, paired development
* Ability to make data-driven decisions and analyze performance metrics, including code quality/deployment efficiency
* Experience with cloud stack (AWS, GCP or Azure)
* Experience with AI/ML, Generative AI and Agentic AI awareness
Visa sponsorship not available for this role
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