Technical Project Manager

BlueAlly • San Francisco, CA

13d • Hybrid

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.
• Experience (6+ years) in biotech, pharma, or scientific computing environments, supporting advanced research and innovation.
• Strong knowledge of Kubernetes, Docker and cloud architectures.

Nice To Haves

• track record of building and scaling cloud platforms in sophisticated, research-intensive environments.
• thrive on solving challenging technical problems and bridging the gap between scientific discovery and innovative infrastructure.
• Familiarity with FinOps principles and practices.
• 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
• manage the execution of platform design, development, and deployment activities, ensuring project plans, timelines, and deliverables meet requirements for scalability, security, and performance.
• build positive relationships with collaborators, including users, development teams, operations, architects, and other platform teams.
• help to define and track key performance indicators to measure platform effectiveness.
• deliver best-in-class Kubernetes solutions, and provide compelling narratives to communicate platform value and delivery status to stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees