Sales compensation and planning platform with embedded AI agents
CaptivateIQ builds software that unifies incentive compensation with quota, territory and capacity planning for revenue teams. Its job posts point to an AI platform push, with LLM orchestration, MCP infrastructure and an agentic SDK in progress. The Python/Django and Go stack paired with Snowflake, Arrow and Parquet suggests a data-heavy modeling engine. Senior engineering dominates hiring, alongside a new Head of GTM Sales Planning role to grow the planning product.
Notable leadership hires: Alliances Director, Head of GTM Sales Planning
CaptivateIQ, founded in 2017 and headquartered in San Francisco, sells sales performance management software covering incentive compensation and sales planning. Its platform serves RevOps, Finance and Sales teams, combining quota, territory, headcount and payout modeling in one workspace. The company is privately held with 201–500 employees and hires in the United States, Canada and Poland. Integrations with systems such as Salesforce, Workday and NetSuite, plus iPaaS tools like Workato, Boomi and MuleSoft, connect it to customers' CRM, HR and finance data.
CaptivateIQ's stack includes Python, Django, Go, React, TypeScript, PostgreSQL, MySQL, Snowflake, Apache Arrow and Parquet, with Cypress for testing and Chakra UI on the front end.
Job posts point to LLM orchestration frameworks, MCP infrastructure, an agentic SDK, a data platform, an identity and access management platform, and full go-to-market work for its sales planning product.
CaptivateIQ is headquartered in San Francisco and hires in the United States, Canada and Poland. Most openings are senior engineering roles, with sales, marketing and product roles as well.
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CaptivateIQ'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.