Staff Software Engineer - AI Platform

Job details

Work model

Remote

Salary

Not listed by source

Location

Poland

Occupation

Software Developers(O*NET 15-1252.00)

Hiring context

How this role compares at CaptivateIQ

CaptivateIQ has 27 live roles in MeritLog’s catalog across 7 job families, and 10 of them are in engineering. 24 of those listings publish a pay range, a disclosure rate of 89%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

About CaptivateIQ CaptivateIQ is the leading Sales Performance Management platform, helping enterprises design, manage, and optimize their incentive compensation programs. Backed by Sequoia, Accel, and Y Combinator, we're expanding from commission management into sales planning and enterprise performance management-all domains ripe for AI innovation. About the Role CaptivateIQ is building AI capabilities that will transform how enterprises manage sales performance. We're looking for a Staff Software Engineer to set the technical strategy for our Agentic SDK team, an internal developer platform that enables product teams across the company to build AI-powered features. This is a strategic technical leadership role with multi-year, multi-team scope. You'll define the architecture and technical direction for AI at CaptivateIQ, making decisions that have no clear answer and partnering with senior Engineering, Product, and Design leadership to shape our long-term vision. You'll be responsible for technical choices that affect the entire organization, from platform design to engineering-wide quality standards. As the technical anchor on a small, high-impact team, you'll lead by influence across organizational boundaries. You'll drive alignment between product teams consuming the Agentic SDK and the platform capabilities we build. You'll establish the bar for engineering excellence and invest deeply in coaching P4 engineers toward staff-level impact. This is a rare greenfield opportunity to define how AI gets built at a growing enterprise software company. You'll shape not just the technology, but the culture and practices that scale with the organization.

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