Teams at Faculty (faculty.ai)

Lead strategic client engagements to discover, build, and launch impactful AI products. Guide cross-functional teams of data scientists, engineers, designers, and delivery specialists; advise senior stakeholders on AI and product strategy; define outcomes, prioritization, evaluation approaches, and trade-offs; develop client product capabilities; support business development; contribute thought leadership; and coach other product managers.

Build and scale AI-powered production systems across the frontend and backend. Responsibilities include designing scalable architectures, leading engineers, creating maintainable project frameworks, providing full-stack technical authority, deploying software, and advising clients on complex technical requirements and architecture.

Build and maintain secure, scalable cloud infrastructure supporting AI, machine learning, data science, and containerized workloads. The role includes developing infrastructure as code, reusable libraries, CI/CD and GitOps practices, integrating open-source technologies, and enabling ML engineers and data scientists. It also involves client and stakeholder collaboration, requirements gathering, technical planning, solution scoping, and recommending cloud infrastructure approaches.