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Company profile

SeekOut Tech Stack

AI-driven talent recruiting and redeployment software for enterprises

Software Development Bellevue, Washington 51–200 employees Founded 2017 Privately Held

SeekOut sells agentic AI software and services for recruiting and internal talent redeployment. Its stack pairs a React/JavaScript front end with C# and Java across Azure, AWS and GCP, while Salesforce, Gainsight and Intercom point to a customer-success-driven SaaS motion. Hiring is minimal and centered on a single marketing director role, suggesting a focus on demand generation over headcount growth.

What SeekOut Is BuildingChallenges and projects from their job posts

◆Challenges

  • High cost per hire
  • Slow hiring process
  • Poor candidate experience

Hiring Activity

Minimal1 roles · 0 in 30d

Department

Marketing
1

Seniority

Director
1
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About SeekOut

SeekOut is a privately held software company founded in 2017 and headquartered in Bellevue, Washington. It builds AI-powered tools and services that help organizations find external candidates and move existing employees into higher-impact roles. The company has 51–200 employees and currently hires in the United States. Internally it runs on Salesforce, Gainsight, Tableau, Power BI, Mixpanel, Rippling, Greenhouse and Okta.

HeadquartersBellevue, Washington
Company Size51–200 employees
Founded2017
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does SeekOut use?

SeekOut uses React, JavaScript, C# and Java, runs on Azure, AWS and GCP, and relies on Salesforce, Gainsight, Intercom, Mixpanel, Tableau and Power BI.

Where is SeekOut headquartered?

SeekOut is headquartered in Bellevue, Washington, United States, and was founded in 2017.

Is SeekOut hiring right now?

Hiring is minimal, with current activity limited to a director-level marketing role in the United States.

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How this profile is built

SeekOut'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.