Senior Engineering Manager - AI Agents
CaptivateIQAbout the role
This is not a pure execution role. You'll be an important voice in defining CaptivateIQ's AI strategy — partnering directly with Product leadership and the executive team to shape the company's AI roadmap and setting a technical vision for the AI platform that balances near-term product impact with long-term investment. You'll be accountable for translating that vision into shipped capabilities that move business metrics.
You'll lead the **AI Platform** team — responsible for our internal agent SDK, LLM orchestration layer, and the evaluation and observability infrastructure that underpins it all. Beyond your team's direct output, you'll serve as the senior technical voice for AI across the engineering organization, driving thought leadership on how every pillar adopts and integrates AI capabilities into their products. As the senior engineering leader for AI at CaptivateIQ, you'll have outsized influence on both the technology and the culture of how we build with AI.
Job Location The candidate selected for this opportunity must reside near one of the following locations: Hybrid (in-office 3 days per week) Austin, TX Remote Raleigh, NC Nashville, TN Toronto, CanadaResponsibilities
- Lead, inspire, and grow a distributed engineering team, fostering a culture of high trust, psychological safety, and intellectual curiosity.
- Develop engineering talent through effective coaching, mentorship, and performance management, with a focus on growing senior and staff-level engineers.
- Own the end-to-end delivery and operational excellence of the AI platform, ensuring AI systems are reliable, safe, and performant in production.
- Partner with Product, Design, and other cross-functional leaders to set a clear vision, prioritize roadmaps, and align a long-term strategy that optimizes for the entire organization.
- Be a key voice in shaping CaptivateIQ's broader AI strategy, informing how AI capabilities are adopted and integrated across the product.
- Provide technical leadership and direction by setting architectural guardrails and guiding major technical decisions without being a direct code contributor.
- Drive AI adoption standards and best practices that enable product teams across the company to build AI-powered features using the platform your team provides.
- Staff projects strategically and plan for long-term headcount and recruiting needs to set the organization up for sustained success.
Requirements
- Extensive software development experience as an individual contributor, and a proven track record as an Engineering Manager leading distributed software engineering teams.
- Hands-on experience building and shipping AI-powered products in production — LLM orchestration, agent frameworks, or applied ML systems. You understand the unique engineering challenges of AI systems (evaluation, non-determinism, cost, latency) and can guide teams through them.
- Broad understanding of the state of the art in AI, LLMs, and applied LLM systems. You stay current with the latest developments, know what the industry has to offer, and bring that context to every strategic and technical decision.
- A strategic thinker, comfortable setting technical vision over a 6-12 month horizon and managing a complex portfolio of projects.
- A strong product sense and a proven track record of delivering high-quality results across the full product lifecycle, with the ability to connect technical investments to customer and business outcomes.
- Proven ability to influence technical direction beyond your own team — you've shaped how other teams build, not just your own.
- A track record of hiring and developing senior talent, with a passion for helping engineers advance their careers.
- Exceptional interpersonal and written communication skills, with a proven ability to collaborate effectively with cross-functio
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