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Reposted 22 Days AgoSaved
In-Office
東京都東京
Entry level
Entry level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
The researcher at PSA will visually verify, identify, and classify sports trading cards while conducting research using various resources and maintaining communication with other departments.
25 Days AgoSaved
Remote
2 Locations
Senior level
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Build and scale the PSA Liquidity Platform connecting buyers and sellers across PSA Partner Offers and eBay Consignment. Responsibilities include developing buyer tooling, pricing and ranking engines, seller experiences, microservices, distributed event-driven systems, and observability. The role owns end-to-end product delivery, cross-functional execution, technical architecture, ecosystem integrations, and production outcomes while using AI throughout the software development lifecycle.
Top Skills: AWSDartDatadogFlutterJavaKafkaKubernetesNew RelicOpentelemetryReactSpring BootSvelte
26 Days AgoSaved
In-Office
東京都東京
Mid level
Mid level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Supports Japan HR operations across the employee lifecycle, including onboarding, offboarding, employee inquiries, HRIS updates, records, leave and benefits administration, contingent worker management, compliance with Japanese labor law, reporting, and process improvement. The role serves as a bilingual liaison between Japan, U.S., and global HR teams and works onsite or in a hybrid arrangement in Tokyo.
Top Skills: HrisWorkday
27 Days AgoSaved
In-Office
Santa Ana, CA, USA
27-30 Hourly
Mid level
27-30 Hourly
Mid level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Apply and reconcile customer payments, prepare bank deposits, process credit card payments, resolve short payments and accounting holds, and maintain accurate customer records. The role also involves responding to customer inquiries, troubleshooting orders, tracking show order projects, and collaborating with operations and customer service teams. This is a high-volume, onsite position requiring strong Excel, accounting, communication, and organizational skills.
Top Skills: Erp SystemsGoogle WorkspaceExcelNetSuiteSalesforce
28 Days AgoSaved
In-Office
Jersey City, NJ, USA
23-23 Hourly
Junior
23-23 Hourly
Junior
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Provides onsite customer support for PSA by resolving inquiries, processing account adjustments, investigating issues, updating order spreadsheets, and escalating unresolved matters. Collaborates with Operations and other departments to deliver accurate solutions, de-escalate concerns, and maintain strong customer relationships. Requires excellent communication, listening, problem-solving, organization, and attention to detail. The role is full-time, Monday through Friday, 3:00–11:30 p.m., and may involve lifting materials up to 40 pounds.
Top Skills: Google WorkspaceSalesforce
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28 Days AgoSaved
In-Office
Jersey City, NJ, USA
25-25 Hourly
Mid level
25-25 Hourly
Mid level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Handles customer inquiries, resolutions, adjustments, claims, and account support for PSA. Collaborates with Operations and other departments, investigates issues, provides accurate information, updates order spreadsheets, and escalates unresolved matters. Requires strong communication, listening, empathy, organization, problem-solving, and customer relations skills. This is a full-time onsite role in Jersey City, New Jersey, working Monday through Friday from 3:00 p.m. to 11:30 p.m.
Top Skills: Google WorkspaceSalesforce
28 Days AgoSaved
In-Office
Santa Ana, CA, USA
Senior level
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Own the architecture and technical direction of the Payments domain, including gateway integrations, payment APIs, distributed systems, data stores, and customer-facing applications. Lead multi-quarter migrations and delivery, establish security and reliability standards, mentor engineers, and partner across business and engineering teams. The role requires deep C#/.NET backend expertise, full-stack capability, payments and fintech experience, AWS and Kubernetes proficiency, database expertise, observability, and responsible use of AI development tools.
Top Skills: .NetAWSC#CdkDatadogDynamoDBKafkaKubernetesPaypalPci-DssPostgresReactStripeSvelteTerraformTypescript
28 Days AgoSaved
In-Office
Santa Ana, CA, USA
187K-254K Annually
Mid level
187K-254K Annually
Mid level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Build and deploy quantitative models forecasting collectible market dynamics, asset valuations, pricing trends, demand, and capacity. Use proprietary transaction and grading data, supervised machine learning, time-series forecasting, backtesting, experimentation, and feature engineering. Partner with Engineering, Product, Finance, Operations, and domain experts to productionize reliable models with monitoring, explainability, and feedback loops. Deliver insights supporting pricing, product, go-to-market, grading, authentication, and business planning.
Top Skills: PandasPythonScikit-LearnSQL
One Month AgoSaved
In-Office
Santa Ana, CA, USA
28-28 Hourly
Mid level
28-28 Hourly
Mid level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Photographs coins for PCGS using industry-standard studio lighting, Canon EOS and DSLR equipment, manual photography techniques, Adobe Photoshop, and established in-house processes. The role requires producing consistent, high-quality images for clients and numismatic experts, maintaining focus during repetitive work, collaborating with a small team, following procedures, and occasionally traveling domestically. The position is onsite in Santa Ana and involves extended sitting or standing, repetitive motion, and occasional lifting up to 20 pounds.
Top Skills: Adobe PhotoshopCanon EosDslrStudio Lighting
One Month AgoSaved
In-Office
Santa Ana, CA, USA
28-28 Hourly
Senior level
28-28 Hourly
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Leads and mentors the Customer Relations Center team, resolves customer and claims issues, improves response quality, creates procedures, tracks turnaround times, supports label and damage reviews, collaborates with IT on portal efficiencies, and communicates company policies to customers across phone, email, chat, and in-person channels.
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