Wayvia (formerly PriceSpider) Tech Stack

Omnicommerce intelligence platform connecting brand media to retail conversions

Software Development Irvine, California 201–500 employees Founded 2004 Privately Held

Wayvia operates a data-intensive omnicommerce platform built on Snowflake, dbt, and Kafka—processing shopper signals and retail data across channels to drive conversions. The hiring mix is product-led (4 of 10 active roles), with concurrent focus on AI-native development practices and a canonical dbt data model, indicating a shift from traditional shopper marketing (legacy PriceSpider positioning) toward agentic commerce and predictive decision-making. Open pain points around implementation roadblocks and client churn suggest scaling challenges in operationalizing intelligence for enterprise buyers.

Tech Stack 32 technologies

Core StackSalesforce Salesloft ZoomInfo DocuSign Snowflake MySQL PostgreSQL SQL Server Go TypeScript PHP Laravel RabbitMQ Kafka Docker Kubernetes BigQuery AWS AWS RDS Gong HubSpot 6sense Google Analytics Jira Confluence dbt Looker Python Java AWS SQS+2 more

What Wayvia (formerly PriceSpider) Is Building

◆Challenges

Balancing new development with iteration
Transition to ai-native development practices
Scale high-performing teams
Reducing cost
Eliminating single points of failure
Optimizing project delivery
Reducing implementation roadblocks
Client churn risk
Unauthorized seller detection
Violation tracking

▲Active Projects

Shoppable media product roadmap
Ai-enabled platform for enterprise customers
Data-intensive ingestion and analytics system
Canonical dbt model development in snowflake
Data quality standards implementation
Snowflake and looker administration
Platform feature testing coordination
Prowl roadmap development
Prowl user experience enhancements
Map monitoring capabilities

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Product

Engineering

Sales

Data

Seniority

Director

Mid

Senior

Junior

Lead

Company intelligence

Find more companies like Wayvia (formerly PriceSpider) by tech stack, pain points and active projects

Get started free

About Wayvia (formerly PriceSpider)

Wayvia (rebranded from PriceSpider in 2004) builds an omnicommerce intelligence layer for consumer brands and retailers. The platform ingests price, stock, and shopper data across online and offline channels, powers shoppable media (brand-owned product links), and surfaces retail intelligence to inform purchasing decisions. Core stack spans Salesforce (CRM), Snowflake + BigQuery (data warehouse), dbt (transformation), Looker (analytics), and Kafka (streaming). Recent projects center on agentic commerce capabilities, canonical data modeling, and data quality standards—addressing internal fragmentation. Headquarters in Irvine, California; 201–500 employees, privately held.

HeadquartersIrvine, California

Company Size201–500 employees

Founded2004

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Wayvia use?

Salesforce, Snowflake, BigQuery, Kafka, dbt, Looker, Python, TypeScript, Go, Kubernetes, Docker, PostgreSQL, MySQL, AWS (RDS, SQS). Emphasis on data pipelines and warehouse-first architecture.

What is Wayvia working on?

Shoppable media product roadmap, AI-enabled enterprise platform, Snowflake data model canonicalization (dbt), agentic commerce (Prowl roadmap), data quality standards, and unauthorized seller detection capabilities.

How this profile is built

Wayvia (formerly PriceSpider)'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.