Senior Manager, Production Engineering

Posted Yesterday
Be an Early Applicant
5 Locations
In-Office
207K-275K Annually
Senior level
Cloud • Information Technology • Machine Learning
We empower creators and innovators with access to GPU resources they need to work more efficiently.
The Role
Lead and expand the SRE/Production Engineering team to ensure platform reliability, performance, and operational efficiency. Drive SRE strategy, automation-first practices (IaC, Terraform, Kubernetes), incident management, postmortems, SLO/SLA frameworks, on-call strategy, and system hardening. Collaborate with engineering, product, hardware, and security teams to build scalable, resilient, self-healing AI-focused cloud infrastructure.
Summary Generated by Built In
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

About the Role

As we continue to scale the CoreWeave Cloud Platform, ensuring reliability, performance, and operational efficiency in a live production environment is mission-critical. We’re seeking a Senior Manager of Production Engineering to lead and expand our SRE team and practices. This leader will play a key role in shaping the resilience and reliability of our platform, partnering closely with engineering and product teams to build systems and services that are secure, scalable, and highly efficient.

You will champion a culture of operational excellence, automation, and ownership, empowering our cloud platform to scale confidently and operate with agility.

What You’ll Do

  • Contribute and execute the SRE vision, strategy, and roadmap for a large-scale, distributed cloud infrastructure.
  • Lead and mentor a high-performing team of SREs, promoting a culture of ownership, collaboration, and continuous learning.
  • Champion automation-first practices, leveraging AI, tools like Terraform, Kubernetes, and Infrastructure-as-Code to minimize toil and manual interventions.
  • Establish and evolve Operational Excellence best practices ensuring the platform is proactive, and propagates organizational learning.
  • Drive initiatives for incident management, postmortem culture, root cause analysis, and system hardening.
  • Collaborate with engineering, product, and customer support teams to build scalable, resilient, and self-healing systems.
  • Evolve our on-call strategy and processes to support a 24x7, globally distributed platform with minimal disruptions.
Who You Are

We’re looking for a thoughtful leader who blends technical depth with strategic vision, and thrives in fast-moving, high-growth environments. If you value clarity over complexity, mentorship over management, and resilience over rigidity, you’ll fit right in.

Minimum Qualifications

  • Bachelor’s degrees in Computer Science, Engineering, or related fields. 
  • 10+ years in a leadership or senior management role at a cloud provider, hyperscaler, or high-growth tech company.
  • Experience hiring, developing, and managing geographically distributed 24x7 engineering teams.
  • Experience in designing and implementing incident management processes including on-call rotations, escalation paths, postmortems, and SLO/SLA framework.
  • Solid foundation in systems engineering, with a deep understanding of distributed systems, networking, and storage architecture.
  • Strong cross-functional collaboration skills, with the ability to influence product, platform, hardware, and security teams.

Additional Qualifications

  • Experience building platform tooling and internal developer portals to improve engineering velocity and operational visibility.
  • Familiarity with GPU-accelerated workloads, including resource isolation, scheduling, and performance tuning.
  • Experience working in AI infrastructure environments supporting training or inference at scale.
  • Background in compliance, reliability risk modeling, or operational maturity assessments (e.g., RTO/RPO, chaos engineering).
  • Prior leadership experience in bare metal infrastructure environments (e.g., custom data centers, edge compute, HPC clusters).
  • Working knowledge of DPUs, service mesh architectures, and multi-tenant security models.

The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include:

  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance 
  • Voluntary supplemental life insurance 
  • Short and long-term disability insurance 
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement 
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health 
  • Family-Forming support provided by Carrot
  • Paid Parental Leave 
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption

California Applicants

California Consumer Privacy Act 

Equal Opportunity & Accommodations

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: [email protected].

Export Control Compliance

This position requires access to export controlled information.  To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency.  CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 10+ years in a leadership or senior management role at a cloud provider, hyperscaler, or high-growth tech company
  • Experience hiring, developing, and managing geographically distributed 24x7 engineering teams
  • Experience designing and implementing incident management processes including on-call rotations, escalation paths, postmortems, and SLO/SLA frameworks
  • Solid foundation in systems engineering with deep understanding of distributed systems, networking, and storage architecture
  • Strong cross-functional collaboration and influencing skills with product, platform, hardware, and security teams
  • Experience building platform tooling and internal developer portals to improve engineering velocity and operational visibility
  • Familiarity with GPU-accelerated workloads, resource isolation, scheduling, and performance tuning
  • Experience working in AI infrastructure environments supporting training or inference at scale
  • Background in compliance, reliability risk modeling, or operational maturity assessments (RTO/RPO, chaos engineering)
  • Prior leadership experience in bare metal infrastructure environments (custom data centers, edge compute, HPC clusters)
  • Working knowledge of DPUs, service mesh architectures, and multi-tenant security models

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The Company
HQ: Livingston, NJ
1,450 Employees
Year Founded: 2017

What We Do

CoreWeave, the AI Hyperscaler™, delivers a cloud platform of cutting-edge software powering the next wave of AI. The company's technology provides enterprises and leading AI labs with cloud solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers across the US and Europe. CoreWeave was ranked as one of the TIME100 most influential companies and featured on Forbes Cloud 100 ranking in 2024. Learn more at www.coreweave.com.

Why Work With Us

At CoreWeave we work hard, have fun and move fast! Today we are a small, growing team of intelligent, genuine people, that value different perspectives and approaches to solving complex problems. We foster an environment that champions collaboration and prioritizes innovative solutions. Here, you are surrounded by the best.

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CoreWeave Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQLivingston, NJ
Bellevue, WA
London, UK
New York, NY
Philadelphia, PA
Sunnyvale, CA
Learn more

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