CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.

Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.

About The Role We’re hiring a Manager, Scale Post-Sales AISE to lead and grow a team of post-sales AI Solutions Engineers focused on scaled customer success. You’ll own the strategy and execution of our 1-to-many post-sales motion—building the programs, operating rhythm, and cross-functional partnerships required to drive customer outcomes at scale. You’ll lead a team, set priorities, ensure high-quality delivery, and continuously improve the scaled journey using data, feedback loops, and operational rigor.

What You’ll Do

• Lead and develop the Scale Post-Sales AISE team Hire, onboard, coach, and retain a high-performing team. Set clear expectations, develop technical and program leadership skills, and create a culture of customer empathy, operational excellence, and scalable impact.
• Own scaled post-sales strategy and program execution (1-to-many) Define the scaled post-sales engagement model, success milestones, and program portfolio (e.g., onboarding cohorts, office hours, enablement webinars, scaled implementation paths). Ensure programs are repeatable, measurable, and aligned to key product outcomes and customer segments.
• Run the operating system: metrics, prioritization, and cross-functional alignment Build the instrumentation and operating cadence to track outcomes (activation, time-to-first-value, feature adoption, retention/expansion signals, support deflection). Partner deeply with Support, Sales, Product, Docs, and Engineering to remove friction, improve self-serve experiences, and feed adoption insights into roadmap and enablement improvements.

Who You Are

• 6–10+ years in customer-facing technical roles (Solutions Engineering, Solutions Architecture, Technical CSM, Post-Sales Engineering), including 2+ years of people management or team leadership.
• Proven experience building and operating scaled customer success motions (1-to-many programs, lifecycle enablement, playbooks, templates) with measurable business impact.
• Strong technical foundation in ML/AI workflows and modern tooling; comfortable guiding technical direction and reviewing solution designs.
• Excellent communication skills—able to influence across functions, present to groups, and write clearly for broad audiences.
• Highly operational: you can set goals, build dashboards/metrics, create a cadence, and drive continuous improvement.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)

Preferred

• Experience building and scaling technical post-sales teams across geographies
• Familiarity with data engineering, MLOps/LLMOps practices, and modern deployment tooling (Docker, Kubernetes, cloud-native services)
• Knowledge of enterprise adoption metrics and operational reporting for technical teams

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified 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 mentoring technical teams and helping them grow into world-class engineers
• You’re curious about how the best AI/ML teams in the world bring ideas into production
• You’re an expert in building scalable programs and processes that accelerate customer success

Why Us? About 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 $188,000 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, including:

Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration

California Consumer Privacy Act - California applicants only

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: 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.