MARIA G VASILIEVA
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Leading the design of complex product systems

I lead complex product initiatives from ambiguity to product direction, scalable systems, and shipped experiences.
My work combines research, systems thinking, product strategy, interaction design, and functional prototyping across AI products, data platforms, enterprise systems, and multi-sided marketplaces.
2023 - 2026

Cloud Data Technology @ eBay

AI, data, and cloud platforms that help teams discover, understand, trust, access, build with, and operationalize data at scale.
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Shaping the product system behind enterprise data workflows

For nearly three years, I led design direction across some of eBay Cloud Data Technology’s most ambiguous platform initiatives. I used research, systems thinking, product strategy, and functional prototyping to define how interconnected products should work, where experiences should converge or remain distinct, and how emerging AI capabilities will become useful and trustworthy product experiences.
My work ranged from early problem framing and North Star architecture to detailed workflows, reusable interaction patterns, and design validation — reducing uncertainty before engineering investment while building foundations that could scale across products and teams.

FEATURED CASE STUDIES 

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Data Platform · Product Direction · Product Architecture · UX Research · AI Enablement · Self-Service

Customer Data Platform

Led product and experience definition for a customer intelligence platform spanning technical and business users. Extended the platform into an AI-assisted business experience for customer exploration, audience creation, comparison, and evidence-based decision-making.
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Platform Strategy · Product Architecture · AI Workflows · Information Architecture · Human-in-the-Loop · Data Products · Product Vision

Unified AI & Data Suite

Created a unified product vision connecting fragmented data discovery, creation, validation, and consumption workflows across the broader data ecosystem.
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Cloud Platform · Platform Primitives · Self-Service · Developer Experience · Automation · Workflow Design

Dynamic Cloud

Established shared workflows and platform primitives across a fragmented internal cloud ecosystem for provisioning, autoscaling, and data governance.
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EXPLORE eBay CASE STUDIES →
2022 - 2023

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An AI-powered customer support platform that analyzes customer interactions and unstructured support data to help teams identify risks, understand customer sentiment, and improve service operations.

Unifying AI-powered support workflows across a growing product platform​

I shaped core workflows across SupportLogic’s AI-powered platform to connect fragmented experiences and establish more coherent enterprise workflows. My work extended beyond individual features to shared workspaces, AI-assisted decision patterns, and reusable cross-product foundations — helping the product suite evolve as a consistent system rather than a collection of separate experiences.

FEATURED CASE STUDIES ​

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AI Workflow · Human-in-the-Loop · Decision Support

​AI-Assisted Performance Reviews

Redesigned customer-support performance reviews as an AI-assisted decision workflow, reducing manual analysis while keeping people in control of evaluation.
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Enterprise Workspace · Cross-Product UX · Platform Experience

Unified Customer Support Workspace

Defined a shared enterprise workspace that brought fragmented support workflows and information sources into one coherent product experience.

EXPLORE SUPPORTLOGIC CASE STUDIES​ →
2017 - 2022
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B-Stock is a B2B re-commerce platform that helps major retailers and manufacturers resell returned, excess, and overstock inventory through online marketplaces and auctions.
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Designing and evolving a global B2B marketplace

Over five years, I shaped product experiences across B-Stock’s marketplace — spanning monetization, trust and quality, operational automation, search and discovery, and internal tools.
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Working across buyer, seller, and operational workflows gave me a system-level view of the marketplace and allowed me to connect individual product decisions to broader platform needs. I established reusable patterns and product frameworks that could extend beyond a single feature, workflow, or team.

FEATURED CASE STUDIES ​

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0→1 Product · Monetization Platform · Complex Account States

Seller Subscription​

Defined and designed a new self-service monetization capability supporting complex seller accounts, subscription states, and business rules.
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Trust & Measurement · Marketplace Systems · Operational Infrastructure

Marketplace Quality & Seller Ratings

Designed a marketplace-quality system connecting seller performance, operational signals, and buyer trust.
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Workflow Automation · Human-in-the-Loop · Internal Tools

Account Approval

Transformed account approval into a scalable automated workflow while preserving human judgment for complex exceptions.
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Platform Pattern · Information Architecture · Design System

Scalable Filtering Framework 

Established a reusable filtering architecture that standardized search and discovery patterns across the marketplace.

EXPLORE B-STOCK CASE STUDIES ​→

PREVIOUS WORK

2016

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Product design for GoPro’s Karma drone ecosystem, connecting hardware, software, controls, and the end-to-end experience.
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2012-2015

Large-scale web platforms, responsive products, information-rich experiences, and digital systems across technology and e-commerce.

FOUNDATIONS

My systems perspective started to form before I became a product designer. During the final years of my Computer Science degree, I worked on a large SAP-based ERP platform for the Russian Ministry of Education, contributing to business-process modeling, workflow validation, usability analysis, training, and digital document management. It was my first experience seeing technology not as a collection of screens, but as a system connecting people, processes, information, and organizational rules.

Over the following decade, my work expanded across digital products, web platforms, visual systems, branding, and interactive experiences. Working directly with businesses gave me early ownership of entire problems — understanding users, defining requirements, shaping the experience, establishing visual and interaction systems, and carrying ideas through implementation.
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That multidisciplinary foundation still defines how I approach product design today: seeing the larger system without losing the interaction-level details that make it understandable, usable, and recognizable.
© 2012-2026 Maria G Vasilieva
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