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Top Product Management Jobs in San Francisco, CA
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Leads product strategy, roadmap, and continuous improvement for PSA Vault and warehouse management systems. Oversees operational workflows including receiving, storage, inventory, fulfillment, and shipping while improving integrations with grading, marketplace, and logistics systems. Partners with Engineering, Operations, and business stakeholders to define requirements, prioritize initiatives, measure outcomes, and enhance customer experiences. The role also identifies AI and automation opportunities and coordinates cross-functional delivery across the Collectors ecosystem.
Top Skills:
AIAutomationEbayProshipWarehouse Management Systems (Wms)
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Lead the strategy and roadmap for Collectors’ global payments platform across grading, marketplace, liquidity, and digital repacking products. Own wallets, money movement, international payments, PSP orchestration, routing, payouts, settlement, reconciliation, ledgers, fraud prevention, disputes, compliance, and cost optimization. Partner with Finance, Treasury, Legal, Compliance, Risk, executives, and technical teams to scale resilient payment experiences.
Top Skills:
3DsAdyenAlternative Payment MethodsBraintreeCard NetworksDac7InterchangeLocal Payment MethodsMulti-Psp RoutingPayment GatewaysPayment Service ProvidersScaStripeTokenization
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
The Principal Product Manager for PSA Liquidity Platform will lead product vision, optimize buyer and seller experiences, and drive cross-functional collaboration to enhance product strategy and execution.
Top Skills:
AIAnalyticsMl
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Lead end-to-end vision and roadmap for a mobile-first web product in collectibles. Partner with design, engineering, and business teams to build, test, and scale experiences; modernize legacy processes; define and drive KPIs; mentor PMs; champion AI adoption; and communicate clearly to executives and engineers while inspiring customers and internal stakeholders.
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