We are on the search for a remarkable Senior Manager of Technical Solutions Management (TSM) who shares our passion and has an understanding of GPU infrastructure and AI Applications to join the team.

This critical leadership role will oversee the TSM function, which is responsible for managing technical relationships with strategic customers, defining and delivering on technical requirements, and driving the execution of complex programs from concept to successful completion.

In this role, you will:

• Lead the TSM function within CoreWeave by building, leading, and focusing on hiring top talent and fostering their growth to ensure they excel as the primary technical advocates for CoreWeave's most strategic customers

• Collaborate across functions, working closely with leaders in Solutions Architecture, Support, Sales, and Product Engineering to elevate and enhance the CoreWeave customer experience

• Directly engage and collaborate with key customers to understand their AI workloads, pain points, and future requirements to continuously improve our service offerings

• Define and monitor key performance indicators (KPIs) to evaluate program success and effectiveness through leveraging multiple insights

You will identify and eliminate inefficiencies, accelerate operational speed, and deliver exceptional results that reinforce CoreWeave's position as a market leader.

The base salary range for this role is $207,000 to $275,000.

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This team supports the infrastructure that powers the AI revolution,working across data centres, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organisation aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development.

We are seeking a remarkable Technical Solutions Manager who shares our passion and has a deep understanding of GPU infrastructure & AI applications to join our CX Organisation. The team is responsible for educating prospective customers on the technical value of CoreWeave, designing and defining customer deliverables and integration points, onboarding and enabling customers, and ensuring the successful ongoing operations of CoreWeave within customer environments.

In this role, you will:

• Lead Strategic Customer Relationships: Ownership of technical customer relationships to ensure successful adoption and customer satisfaction.
• Define Customer Requirements: Collaborate with customers and partners to define technical requirements that meet the customer's needs for AI/ML.
• Drive End-to-End Program Execution: Oversee the execution of complex programs, including planning, resource management, risk assessment, and internal/external stakeholder engagement to ensure successful outcomes.
• Engage with Stakeholders/Influence product strategy: Gather, document, and communicate program requirements to ensure clarity, feasibility, and alignment with critical objectives. Share customer feedback with Product Management and Engineering, influencing product direction.
• Foster Collaboration: Facilitate effective communication among various teams, including engineering, product management, operations, support, and sales.
• Build Strong Relationships: Establish and maintain strong relationships with stakeholders to align program objectives and secure necessary resources and support.
• Proactively Manage Risks: Identify potential risks and issues throughout the program and proactively communicate to relevant stakeholders to drive resolutions and minimise impact.
• Measure Success: Define and track key performance indicators (KPIs) and metrics to measure program success and effectiveness.
• Drive Improvements: Identify and address inefficiencies to enhance operational speed and quality outcomes.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 5+ years of experience in technical program management, customer success management, or professional services delivery management, with a focus on cloud infrastructure and AI/ML applications
• Strong communication skills through both long-form documents and short-form/asynchronous communications with internal and external stakeholders
• Proven track record of successfully organising and coordinating the efforts of multiple teams to deliver long-running, complex projects with visibility to senior stakeholders.
• Experience with multiple staples of leadership, with the ability to work in a bottom-up leadership-style organisation that focuses on enablement, communication, organisation, and inspiration over task management.
• Demonstrated experience with proactive self-management, with examples of recognising when to seek help and is willing to ask for it in a timely manner within a safe environment.
• Experience with client management within a cloud infrastructure landscape, ideally with an understanding of the fundamentals of Kubernetes, GPU compute, AI/ML, and high-performance computing

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 take off, the growth opportunities within the organisation 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 $185,000 to $215,000. 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 programme (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:

• 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 Programme (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 centre locations
• A casual work environment
• A work culture focused on innovative disruption

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This role sits at the intersection of AI/ML, autonomy, model lifecycle, infrastructure, and product strategy. The PM partners closely with engineering, AI research, Hivemind Solutions, and field teams to deliver the tooling that enables sovereign autonomy, AI Factories at the edge, and continuous learning,capabilities that are central to Shield AI's strategic direction.

This is a high-impact role for an experienced product leader excited to define how foundation models are trained, validated, governed, and deployed across thousands of autonomous systems in highly contested environments.

Responsibilities:

• AI Model Development & Training Platform

Own the roadmap for foundation model training workflows, including dataset ingestion, curation, labeling, synthetic data generation, domain model training, and distillation pipelines. Define requirements for world models, robotics models, and VLA-based training, evaluation, and specialization. Lead the evolution of MLOps capabilities in Forge, including data lineage, experiment tracking, model versioning, and scalable evaluation suites.

• Data, Simulation & Synthetic Data Factory

Define product requirements for synthetic data generation, simulation-integrated data flywheels, and automated scenario generation. Partner with Digital Twin, Simulation, and autonomy teams to convert natural-language mission inputs into data needs, training procedures, and model variants.

• Safe Deployment & Model Governance

Lead the development of model governance and auditability tooling, including model cards, dataset rights, lineage tracking, safety gates, and compliance evidence. Build guardrails and workflows to safely deploy models onto edge hardware in disconnected, GPS- or comms-denied environments. Partner with Safety, Certification, Cyber, and Engineering teams to ensure traceability and evaluation pipelines meet operational and accreditation requirements.

• Edge Deployment & AI Factory Integration

Partner with Pilot, EdgeOS, and hardware teams to integrate foundation-model-based perception and reasoning into autonomy behaviors. Define requirements for distillation, quantization, and inference tooling as part of the “three-computer” development and deployment model. Ensure closed-loop workflows between cloud model training and edge-native execution.

• Cross-Functional Leadership

Collaborate with Engineering, Research, Product, Customer Engagement, and Solutions teams to ensure model outputs meet mission and platform constraints. Translate advanced AI capabilities into intuitive workflows that platform OEMs and partner nations can use to build sovereign AI factories. Sequence foundational capabilities that unblock autonomy, simulation, and customer-facing product teams.

• User & Customer Impact

Develop deep empathy for ML engineers, autonomy developers, and Solutions engineers who rely on the platform. Capture operational data gaps, mission-driven model needs, and domain-specific specialization requirements. Lead demos and onboarding for model-development capabilities across internal and external teams.

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This role is highly hands-on and systems-oriented, sitting at the intersection of security, infrastructure, and distributed systems.

Your primary responsibilities will be to:

• Build and harden infrastructure security by designing and implementing security controls across cloud infrastructure, Kubernetes and containerized workloads, networking, service meshes, and edge systems, CI/CD pipelines and deployment systems, and secure compute environments for GPU workloads and model execution.
• Implement identity, secrets, and access controls, including machine identity and workload authentication, secrets management and encryption, least-privilege access, and short-lived credentials.
• Protect model weights, inference endpoints, and customer data, design secure data access pathways and isolation mechanisms, and ensure safe multi-tenant execution environments.
• Automate security guardrails directly into infrastructure and CI/CD, use Infrastructure-as-Code to enforce secure defaults, and continuously identify and remediate security gaps through automation.
• Identify and mitigate risks across infrastructure layers, defend against both external attackers and insider threats, and drive projects like network isolation, encryption, and secure service communication.

To succeed in this role, you'll need to have:

• 8+ years in security engineering, infrastructure, or SRE.
• Strong understanding of cloud security, networking fundamentals, Linux systems, and container security.
• Experience building or securing production infrastructure at scale.
• Deep knowledge of authentication and authorization systems, secrets management and cryptography basics, common vulnerabilities and attack vectors, and ability to design security controls across multiple layers.
• Proficiency in at least one language, experience with Infrastructure-as-Code, and strong automation mindset.

Nice to have experience with GPU infrastructure, multi-tenant platform isolation, service mesh architectures, and high-growth startup environments.

What makes this role unique is that you'll work on cutting-edge AI infrastructure security, secure GPU clusters, model execution, and real-time inference systems, have high ownership, and direct impact on developer trust and platform reliability.

Our security philosophy is to enable developers, automate everything, assume breach, and design for resilience.

In terms of compensation and benefits, we offer competitive salary, equity, full health, dental, and vision coverage, and opportunity to work on frontier AI infrastructure.

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What you'll do

As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint.

What you need

• 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles
• 3+ years of people management experience, including building and scaling teams
• Proven track record of establishing or significantly growing an engineering site or office

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