Technical Project Manager
About The Position
BlueAlly seeks a versatile and motivated Technical Project Manager (TPM) to join us to support the development and growth of our artificial intelligence (AI) application hosting infrastructure. This role is critical for supporting our client's innovative research, AI and data analysis needs. The ideal candidate will have a deep understanding of cloud technologies, collaborator management, and the ability to translate user needs, goals, and challenges into actionable statements. You will drive execution, project management, and delivery for shared cloud infrastructure and platforms, enabling seamless software development and powering scientific innovation. This is a hybrid role based at the client site in South San Francisco, CA. You will be supporting a distributed development team, but working with key stakeholders primarily based in the South San Francisco office. The best estimate is 60% remote work, with onsite presence expected at our South San Francisco campus for at least 2 days per week. There is some flexibility, but the role is primarily based on standard 9:00am - 5:00pm Pacific Time working hours.
Requirements
- Technical Project Manager, Product Manager, or Technical Leader with proven experience driving cloud-based platforms at scale.
- 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.
Nice To Haves
- 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.
Responsibilities
- Driving execution, project management, and delivery for the cloud Container Orchestration Platform that hosts our ML applications.
- Partnering with collaborators (users, developers, engineers, AI scientists, etc.) to capture and prioritize requirements
- Managing the execution of platform design, development, and deployment activities, ensuring project plans, timelines, and deliverables meet requirements for scalability, security, and performance.
- Building positive relationships with collaborators, including users, development teams, operations, architects, and other platform teams.
- Helping to define and track key performance indicators to measure platform effectiveness.
- Delivering best-in-class Kubernetes solutions, and provide compelling narratives to communicate platform value and delivery status to stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
