Engineering Manager, AI Agents

Compa is a venture-backed SaaS startup revolutionizing the future of compensation.

In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams.

Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI.

Our customers include the world’s biggest companies: Apple, NVIDIA, Tesla, Mastercard, T-Mobile, Sanofi, Moderna, Gilead Sciences, and more.

💻 About the role

We’re looking for an engineering leader to manage Compa’s Agents team. As engineering manager, you’ll lead the team that is responsible for building, shipping, and delivering production-grade AI agents to enterprise customers like Stripe, Block, Roblox, etc.

Compa’s first agents: Partner AI and Analyst AI help the world’s largest companies manage the largest line-item expense on their P&L — compensation.

In this role, you will be on the frontline of a once-in-a-generation technology shift defining how agentic systems are built, deployed, and maintained in the enterprise.

Core responsibilities of this role:

• In collaboration with Compa’s, Co-founder & CTO and engineering leads at Compa, develop the technical vision for the future of agentic systems that perform well in production for the world’s leading enterprise companies

• Own execution of the technical vision for Compa’s agentic systems

• As the engineering leader on a cross-functional team, ensure successful delivery and productionization of Partner AI and Analyst AI with Compa’s initial cohort of enterprise customers

• In collaboration with Compa’s customers, Co-founder & Chief Experience Officer, and XFN leads from other functions, define, plan, and deliver an agentic onboarding

• Partner with Compa’s Director of Product on the roadmap for Compa’s agentic products

• Deep interest, curiosity, and passion for AI systems — experience with AI is nice, not required

• Highly influential spoken and written communication with XFN leaders, technical leaders, and customers

• Track record of building and operating production systems — AI systems in production is nice, not required

• Experience creating new XFN process when it serves the team and deleting process when it is the team serving the process

• Experience at a growth-stage startup

• Experience at a startup building products for enterprise

• Low ego, with an appetite to build, and employ good judgment in making hard trade-offs with limited resources

• Effectively recruit, mentor, retain, and measure high performing teams

• It’s nice (but not required) if you have experience operating systems that run on cloud infrastructure (AWS, GCP, Azure, etc.)

• It’s nice (but not required) if you have experience working with probabilistic systems (generative AI, conventional AI, ranking, recommendations, etc.)

Here’s our stack:

• React JS

• Typescript

• GraphQL

• Django

• Python

• Postgres

• AWS

• GitHub Actions

• Docker

• vllm

You don’t need to have prior experience with these exact technologies but some experience is a plus.

Compensation Range: $185K - $215K