The Inference team is responsible for building and operating highly scalable, reliable production inference services for both serverless and dedicated inference use cases. The work spans platform reliability, operational excellence, customer onboarding, release validation, runtime performance, and the launch of new inference capabilities that help customers run models at scale with strong price-performance and low operational friction.
In this role, you will partner with engineering, product, infrastructure, and go-to-market teams to drive programs that improve how inference services are launched, onboarded, operated, and optimized. This includes managing the execution of customer-facing onboarding programs, launch readiness for dedicated inference capabilities, and the platform improvements needed to support scale, reliability, and predictable delivery.
This role is ideal for someone who thrives in complex, cross-functional environments, has deep technical fluency in distributed systems, inference infrastructure, and AI platform operations, and excels at creating structure, visibility, and execution rhythm across multiple teams.
What You’ll Do
Drive end-to-end program management for inference platform initiatives spanning reliability, customer onboarding, launch readiness, and runtime optimization.
Lead cross-functional programs for customer onboarding across dedicated and serverless inference offerings, ensuring clear ownership, launch criteria, and readiness for strategic customer use cases.
Drive launch readiness for new inference capabilities by aligning teams around real customer outcomes, supportability, and end-to-end validation.
Partner with engineering and product to define and deliver roadmap outcomes for latency, throughput, uptime, operational quality, and price-performance.
Coordinate multi-team execution across platform, infrastructure, and customer-facing teams to deliver reliable and scalable inference services.
Build and operationalize success metrics, dashboards, launch gates, and review cadences to measure service reliability, onboarding readiness, efficiency, and quality across the inference stack.
Establish repeatable processes for release validation, performance regression tracking, launch management, and postmortem follow-through.
Help unify operational processes, support mechanisms, and execution visibility across inference deployment models and customer onboarding paths.
Create strong communication channels between Engineering, Product, Infrastructure, and Go-to-Market teams to align priorities and deliver predictable, high-impact outcomes.
Who You Are
Bachelor’s degree in a technical field or equivalent practical experience.
8+ years of technical program management experience in distributed systems, cloud infrastructure, or AI/ML platform engineering.
Proven experience driving large-scale infrastructure or platform programs from concept to production in complex, cross-functional environments.
Strong technical fluency in distributed inference systems, GPU compute, cloud-native architectures, and performance optimization.
Demonstrated success driving measurable improvements in reliability, performance, operational readiness, or customer delivery.
Excellent written and verbal communication skills, with the ability to align engineering, product, infrastructure, and customer-facing stakeholders around shared goals.
Experience with inference-serving systems, model onboarding workflows, rollout strategies, and observability tooling.
Familiarity with launch readiness, supportability, incident follow-through, and release validation for production infrastructure or platform services.
Understanding of customer onboarding for technical products, especially where platform capabilities, infrastructure readiness, and support processes must align for launch.
Experience operating in high-growth environments where roadmap execution, reliability expectations, and customer commitments must be managed in parallel.
Wondering if you’re a good fit?
We believe in investing in our people and value candidates who bring diverse experiences to our teams—even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
You love driving execution for complex, customer-facing AI infrastructure and platform programs.
You’re curious about how large-scale inference systems evolve across runtime performance, operational excellence, and customer onboarding.
You’re effective at creating clarity and momentum across ambiguous, fast-moving multi-team initiatives.
You enjoy turning technically complex platform work into predictable execution and successful launches.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The base salary range for this role is $177,000 to $237,000. 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
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 full-time employees; 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: careers@coreweave.com.
Export Control Compliance
This position requires access to technology and/or source code subject to U.S. export control laws. Any such access will be provided only in compliance with applicable U.S. export control requirements. As part of the recruitment process, CoreWeave may request limited information reasonably necessary to assess applicable export-control requirements.
