Qualifications
Key Responsibilities
As part of our platform team, you will ensure alignment with user needs and business goals, driving value for our scientific stakeholders:
- You are driving execution, project management, and delivery for the cloud Container Orchestration Platform that hosts our ML applications.
- You are partnering with collaborators (users, developers, engineers, AI scientists, etc.) to capture and prioritize requirements
- You manage the execution of platform design, development, and deployment activities, ensuring project plans, timelines, and deliverables meet requirements for scalability, security, and performance.
- You build positive relationships with collaborators, including users, development teams, operations, architects, and other platform teams.
- You help to define and track key performance indicators to measure platform effectiveness.
- You deliver best-in-class Kubernetes solutions, and provide compelling narratives to communicate platform value and delivery status to stakeholders.
Who You Are
You are a Technical Project Manager, Product Manager, or Technical Leader with proven experience driving cloud-based platforms at scale. You thrive at the intersection of technology, strategy, delivery, and impact, shaping world-class infrastructure for innovative applications.
- Knowledgeable about AWS, cloud computing, and container orchestration (EKS, Kubernetes, Docker), and the use of these technologies to build scalable, resilient platforms.
- Proven ability to manage project alignment across multiple stakeholders and implement with precision.
- Outstanding communication and coordination skills, effectively partnering with engineers and cross-functional teams.
- Passionate about delivering innovative, high-performance platforms that empower scientific breakthroughs.
- Strong expertise in technical project management, focused on platform delivery and optimization across areas like API design, scalability, and cost optimization.
Many Successful Candidates Bring Experience In...
You have a track record of building and scaling cloud platforms in sophisticated, research-intensive environments. You thrive on solving challenging technical problems and bridging the gap between scientific discovery and innovative infrastructure.
- Experience (6+ years) in biotech, pharma, or scientific computing environments, supporting advanced research and innovation.
- Familiarity with FinOps principles and practices.
- Strong knowledge of Kubernetes, Docker and cloud architectures.
- Familiarity with ML infrastructure, including model training, deployment, and GPU-based workloads.
- Understanding of security, compliance, and access control for containerized environments.
Additional Information
All your information will be kept confidential according to EEO guidelines.