Engineering Manager, Launch & Sandboxes

This is a Fully Remote Job About Our Client: The organization operates in the cloud infrastructure space, focusing on delivering specialized cloud platforms designed for AI workloads. It addresses the challenges faced by AI labs, startups, and enterprises in scaling and managing AI compute resources by providing high-performance infrastructure combined with technical expertise. Established in 2017 and publicly traded as of March 2025, the company serves a broad range of users, helping accelerate AI development and operational capabilities. About the Opportunity: The ENGINEERING MANAGER, LAUNCH & SANDBOXES leads a team responsible for cloud execution environments and compute orchestration services critical to AI workload deployment. This role ensures the seamless connection between developer workflows and the underlying compute infrastructure, spanning Kubernetes clusters, HPC nodes, and cloud virtual machines. The manager drives product lifecycle activities, prioritizes initiatives with product management, supports technical decisions, and fosters engineer growth, all while maintaining a strong focus on customer needs and product reliability. Responsibilities: Lead engineering efforts for sandbox environments and job submission systems Collaborate with product management to prioritize and deliver features Remove obstacles for engineers and manage cross-team dependencies Participate in architecture discussions on container orchestration and billing infrastructure Maintain technical health including managing technical debt and on-call responsibilities Develop engineers into autonomous leaders and decision-makers Ensure production reliability and end-to-end ownership of team outcomes Requirements: Minimum 3 years of engineering management experience with infrastructure or platform products At least 5 years of prior software engineering experience focused on backend systems Proficiency in Go, Python, and Kubernetes sufficient to review code and guide architecture Experience managing teams responsible for distributed production systems Ability to balance product delivery with technical health measures Experience partnering with product managers on roadmap planning Proven track record of mentoring engineers across experience levels Strong communication skills with technical and non-technical stakeholders Comfortable working in ambiguous, evolving product areas Preferred Qualifications: Background in machine learning infrastructure or developer tools for data science Knowledge of compute orchestration, job scheduling, or container isolation Experience managing product area transitions or integrations Familiarity with HPC or scientific computing environments Experience with billing, metering, or usage-based pricing systems Early-stage startup or founding experience Pay Range and Compensation Package: The base pay and target total cash for this position range from $165,000.00 to $242,000.00, based on various factors. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.