# Engineering Technical Program Manager - W&B Platform

**Company**: CoreWeave
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $177,000 to $237,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/coreweave/jobs/4610109006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c81cbaa1-56a

## Description

The Weights & Biases (W&B) team builds the developer platform trusted by machine learning practitioners to track, manage, and scale their ML workflows. As a Technical Program Manager focused on platform reliability and release management, you'll be at the centre of our platform's growth and stability.

You will partner with engineering teams within W&B and CoreWeave AI/ML Platform Services (AMPS) to ensure W&B integrates seamlessly into the broader ML ecosystem, while maintaining high reliability and predictable releases.

This role is ideal for someone who thrives in cross-functional environments, has a strong grasp of developer workflows, and excels at creating repeatable, reliable program structures that scale.

### Responsibilities

- Drive end-to-end program management for critical platform initiatives.

- Build and run release management processes, ensuring predictable and high-quality delivery cycles.

- Partner with engineering and product to define success metrics, manage risks, and ensure on-time delivery.

- Build and scale incident management and RCA processes for W&B services.

- Improve the predictability and visibility of releases across teams, introducing dashboards, retrospectives, and program forums.

- Collaborate with TPMs and engineering leaders across W&B and CoreWeave to ensure end-to-end reliability across the ML developer stack.

### Qualifications

- Bachelor's degree in a technical field or equivalent experience.

- 5+ years of program management experience in SaaS, developer tools, or ML/AI platforms.

- Proven experience running release management programs and incident management processes.

- Strong technical fluency in cloud computing, developer workflows, and CI/CD practices.

- Excellent communication and facilitation skills with diverse technical and non-technical audiences.

- Track record of improving reliability, efficiency, and predictability in software delivery.

### Additional Qualifications

- Familiarity with ML workflows, model training/inference, and developer productivity tools.

- Experience building integrations between SaaS platforms, APIs, and cloud services.

- Strong background in reliability engineering practices and DevOps program leadership.

## Skills

### Required
- cloud computing
- developer workflows
- CI/CD practices
- program management
- release management
- incident management
- reliability engineering

### Nice to have
- ML workflows
- model training/inference
- developer productivity tools
- integration between SaaS platforms, APIs, and cloud services

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/coreweave/jobs/4610109006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)