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.
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.
Remote Work :
No
Employment Type :
Full-time
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 Fra...
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.
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.
Remote Work :
No
Employment Type :
Full-time
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