Sierra Engineering Manager at Sierra leading design and delivery of production-grade AI agents. Manages and grows a team of engineers while building scalable AI systems for industries like finance, healthcare, and commerce.
Responsibilities
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.
AI-related experience (experience developing AI agents a plus).
Qualification
Strong technical problem-solving skills
Required
Experience leading engineering teams building and scaling production systems
Strong technical problem-solving skills
Ability to guide teams through ambiguous, fast-changing environments
