Engineering Manager, Agent

About us At the company, we’re building a platform to enable every company in the world to build better, more human customer experiences with AI. We partner with industry leaders such Soft Bank, Uber, Rivian, CLEAR, and Sutter Health. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.

We are guided by a set of values that are at the core of our actions and define our culture:
Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.

Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding the company, Clay spent 18 years at Google, where he most recently led Google Labs.

Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.

Lead the design and delivery of production-grade AI agents:
We believe the best managers lead from being hands-on and close to the work. Our managers operate as ICs for their first 3-6 months at the company, and then evolve to manage and grow a team of engineers, all while building highly performant, reliable, and intuitive AI agents that are central, mission-critical, and directly drive the company’s growth. These aren’t prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.

You'll ensure technical excellence, operational reliability, and high customer impact.

• Own the Agent Development Life Cycle (ADLC):
  You'll both build directly, and guide your team through the full lifecycle—from initial pilot through deployment and continuous iteration—coaching engineers to set and maintain the standard for ADLC best practices. You'll ensure projects are delivered on time, meet customer needs, and scale effectively in production environments.

• Partner with large enterprises and cutting-edge startups:
  You'll collaborate with leaders at some of the world's largest enterprises to understand their most pressing business challenges, and guide your team in building AI agents that transform how they operate 'll also work with innovative startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.

• Shape the future of the platform:
  Your team's direct work with customers will guide the evolution of the company's core platform. You'll surface unmet needs, prioritize initiatives, and collaborate with research, product, and platform teams to shape the future of AI agent development and the company's product.

Experience building and scaling, as well as leading engineering teams that build and scale, end-to-end production systems

• Strong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environments

• A leadership style that comes from being hands-on, and blends high standards with empathy, fostering both speed and quality

• Proven ability to work closely with customers and translate business needs into technical deliverables

• Excellent communication skills across technical and non-technical audiences

• Degree in Computer Science or related field, or equivalent professional experience.

AI-related experience (experience developing AI agents a plus).

• Experience building or deploying AI/LLM systems in production

• Background as a founder, engineering lead, or startup builder with high ownership and urgency

• Familiarity with tools for today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering

• Prior experience with React, Type Script, and/or Go

• Experience interfacing with customers or leading technical projects with external stakeholders

Trust:
We build trust with our customers with our accountability, empathy, quality, and…