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.
CaptivateIQ participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States
Responsibilities
Set the multi-year technical strategy for AI platform development, partnering with senior EPD leadership on long-term vision
Architect foundational AI systems that serve multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns
Own technical decisions with organization-wide impact where the right answer is ambiguous or contested
Define engineering-wide quality standards and best practices for AI development, establishing patterns that scale across teams
Drive technical alignment across the Agentic SDK team and product teams consuming AI capabilities
Invest deeply in coaching P4 engineers, helping them develop toward staff-level scope and strategic thinking
Represent CaptivateIQ's technical perspective in industry discussions, open-source contributions, or technical publications
Requirements
8+ years of professional software engineering experience with demonstrated progression into staff-level technical leadership
Deep expertise in LLM orchestration: production experience building agent frameworks, including agent design patterns, tool integration, and workflow optimization
Significant experience designing MCP integrations and knowledge systems at scale, including tool server architecture, embedding pipelines, and context optimization
Track record of setting technical strategy that spans multiple teams and multi-year time horizons
Experience partnering with senior leadership (Directors, VPs) to align technical direction with business objectives
Demonstrated ability to make high-stakes technical decisions under extreme ambiguity
Strong mentorship track record, particularly in developing senior engineers toward staff-level impact
Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space
Bonus Points
Strong proficiency in Python and experience with Django or similar backend frameworks
Full-stack capabilities with React and TypeScript
Experience building and scaling internal AI/ML platforms or developer experience infrastructure
Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
Deep expertise in advanced agent architectures: multi-agent coordination, autonomous planning, or complex tool ecosystems
Experience with AI evaluation, observability, and production monitoring at enterprise scale
Published technical writing, conference talks, or significant open-source contributions in AI/ML
Background building AI-powered products that shipped to enterprise customers with measurable business impact
Experience at a B2B SaaS company during periods of significant growth or platform expansion
Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains
Notice to Prospective Candidates:
Only emails from @captivateiq.com should be trusted. We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:
Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc.
Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.
Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ.
Ask candidates to make a payment in order to be considered for a position.
Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.
Please note that we’ll only ask for more sensitive personal information in connection with background checks after an offer is made.
CaptivateIQ works with a third-party Employer of Record to handle compliance, payroll, and as applicable benefits on our behalf
Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.
