AI-powered retail marketplace optimization for Amazon, Walmart, and TikTok Shop
Teikametrics builds an AI operating system for e-commerce brands selling across major marketplaces. The tech stack reveals a platform engineered for scale—Kubernetes, Terraform, microservices, and data pipelines—while active projects around authentication, campaign orchestration, and infrastructure immutability signal a company hardening its foundation. Hiring is selective (8 open roles, steady velocity) with a seniority skew toward senior engineers and a CTO role, suggesting infrastructure and platform maturity are top-of-stack concerns.
Notable leadership hires: Chief Technology Officer
Teikametrics is an AI-powered platform helping brands and agencies optimize advertising, inventory, and listings across Amazon, Walmart, and TikTok Shop. The core product unifies marketplace advertising, content management, inventory planning, and analytics into a single interface. The company employs 201–500 people, headquartered in Boston with engineering and sales presence across the US, UK, and India. Revenue growth and paid media efficiency are core business drivers, though accurate attribution and budget pacing across channels remain operational challenges.
Kubernetes, Terraform, Docker, Python, TypeScript/React, Datadog for monitoring, AWS EKS for container orchestration, plus Salesforce, HubSpot, and MuleSoft for integrations and data movement.
8 active roles across engineering (4), marketing (2), and sales (2). Recent openings span United States, United Kingdom, and India, with a notable CTO search underway.
Infrastructure hardening (Terraform immutability, microservices, authentication layers), campaign orchestration, data pipeline expansion, and A/B testing frameworks for conversion optimization on paid channels.
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Teikametrics'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.