AI Hiring Index

Sierra · Engineering · Lead / Manager · Posted 2026-08-11

Engineering Manager, Agent

Sierra · New York, NY; San Francisco, CA · $280k–410k base

This range's midpoint is above 91% of posted engineering ranges at AI companies right now. Compare it with every posted range at Sierra by level, and at 281 other AI companies, in the AI Salary Report, US$29 once, or see the free salary index.

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ABOUT US

Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. 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 a commitment to balancing Family along the way. 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 https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. 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 Sierra, 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.

WHAT YOU’LL DO

- 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 Sierra, 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 Sierra’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 at scale. You’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 Sierra’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 Sierra’s product.

WHAT YOU'LL BRING

- 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.

EVEN BETTER...

- 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 …

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This listing is reproduced from Sierra's public careers feed and links to the original. AI Hiring Index is not the employer and does not accept applications. All Sierra roles · AI salaries.