eBay
Sr. Product Mgr Experimentation Platform
Toronto · Senior
Sponsorship not specifiedDetected 7 days ago
Machine LearningA/B TestingAccessibilityResearchCommunicationMicrosoft Office
Stay score
odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 146 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card intent detected
eBay Inc. obtained a prevailing wage determination for Market Research Analysts and Marketing Specialists in Austin, TEXAS on 2026-06-08. No matching green-card filing appears in our data yet. The determination expires in 0 days (2026-09-05), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file
Green-card follow-through: 93%
Of 44 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 480 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
56 transfer filings in the last year, covering 56 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Within this organization, Data, AI & Experimentation platforms accelerate product velocity and business impact by providing integrated, reliable foundations for data, analytics, machine learning, and experimentation.
- We enable the insight to production loop so teams can move from ideas to decisions and from prototypes to shipped features quickly, with confidence, and with measurable outcomes.
Responsibilities
- Partner with the broader Product team to bring to bear the data and AI platform in service to platform and experience improvements.
- Champion Users: Build deep user understanding and empathy through regular engagement, research, and feedback loops to identify difficulties and opportunities.
- Manage Roadmap: Build and prioritize projects that balance today's needs with strategic evolution to improve impact, making thoughtful trade-offs and aligning interested parties along the way.
- Guide Development: Partner with design and engineering to define requirements, develop intuitive experiences, and validate solutions that result in cohesive user journeys across the platform ecosystem.
- Drive Improvement: Define success metrics tied to user adoption, happiness, and efficiency.
- Business insight: Understands how platform investments drive business outcomes. Clearly explains the value of technical investments in business terms and links platform capabilities to company strategic priorities.
- Develops innovative solutions with strong product intuition and judgement, thinking holistically about end-to-end user experience.
- Data Driven: Analytical outlook that employs quantitative and qualitative data to understand user behavior, validate assumptions, and inform product decisions.
- Builds a culture that demonstrates clear success metrics to measure impact and drive continuous improvement.
- Collaborator alignment: Building positive relationships across organizational boundaries, grounded in mutual respect and shared goals. Navigates complex organizational dynamics to drive alignment.
Requirements
- If you have a need that requires accommodation, please contact us at talent@ebay.com.
Skills
- 7+ years of experience in technical Product Management within complex technical fields.
- Demonstrated passion for experimentation platforms and methodologies with a pulse on emerging trends.
- eBay's Cloud Data and AI organization provides the backbone that powers eBay's global scale, operations, and experiences.
Benefits
- Set Direction: Craft a compelling long-term vision and strategy for the portfolio, aligning user and team needs with business objectives and industry trends.
- Promote new capabilities through targeted communication, education, and roadshows.
- Provide comprehensive documentation, learning resources, and self-service tools to accelerate adoption and reduce support burden.
- Strategic vision and acumen: proven track record of managing product portfolios in complex technical domains with a clear vision and strategy to improve portfolio impact.
- Great at rallying teams around a vision and motivating others to action.
- Learning approach: Passionate about incremental learning and fast feedback loops with customers.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, and disability, or other legally protected status.
Company info
- At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells.
- Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day.
- We're in this together, sustaining the future of our customers, our company, and our planet.
Equal opportunity
- eBay is an equal opportunity employer.
- We will make every effort to respond to your request for accommodation as soon as possible.
This listing is sourced directly from eBay's careers page and normalized into a canonical job model.