About the role

Engineering Program Manager for Lambda's AI factories, overseeing project execution and delivery. Leading cross-functional teams to deliver scalable AI cloud solutions.

Responsibilities

Project Leadership: Guide a cross-functional team of engineers, fostering a culture of innovation, collaboration, and accountability.
Strategic Planning: Define project scope, goals, and deliverables in collaboration with engineering management and stakeholders. Develop comprehensive project plans, including timelines, resource allocation, and budget.
Execution and Delivery: Oversee the entire project lifecycle, from ideation to deployment. Ensure projects are delivered on time, within budget, and to the highest quality standards.
Technical Expertise: Possess a strong understanding of cloud platform technologies (e.g., AWS, Azure, GCP), containerization (e.g., Docker, Kubernetes), CI/CD pipelines, and automation tools.
Risk Management: Proactively identify, assess, and mitigate project risks and issues. Develop contingency plans and communicate status to stakeholders.
Stakeholder Communication: Serve as the primary point of contact for all project-related communications. Provide regular updates to stakeholders, including executive leadership, on project progress, risks, and key milestones.
Process Improvement: Continuously evaluate and improve project management processes and tools to enhance team efficiency and effectiveness.
Collaboration: Work closely with cross-functional teams, including product management, operations, and security, to ensure alignment and successful project integration.
Customer Focus: Work closely with engineering management to scope customer requirements.

10+ years of experience in the Software engineering industry with 7+ years performing a project management role, with a focus on software engineering and software infrastructure projects.
Demonstrated experience leading a team of software engineers on complex, cross-functional projects in a fast-paced startup environment.
Bachelor's degree in Computer Science, Engineering, or a related technical field.
Proven track record of successfully leading and delivering complex technical projects.
Strong knowledge of Agile and Scrum methodologies.
Exceptional leadership, communication, and interpersonal skills using those skills to lead teams to ordered execution from a disorganized starting point.
Ability to thrive in a fast-paced, high-pressure environment and manage multiple projects simultaneously.
Impeccable writing and documentation skills.
Experience with project management software (e.g., Jira).