Manager of Account Solutions (Architecture Greenfields)

CoreWeave; York and North Yorkshire; On-site; GBP 120,000 - 180,000; Full time

Job summary

Weights & Biases is seeking a Manager / Senior Manager, Solutions Architecture to lead a regional team delivering complex deployments across AWS, GCP, Azure, and on-prem environments. You will stay hands-on with architecture reviews and critical escalations while building scalable processes and reference architectures.

You will hire and ramp the team in-region, establish deployment standards, and partner with Sales Engineering to validate pre-sales technical aspects.

Qualifications

• 3+ years managing a customer-facing technical team (Solutions Architecture, SRE, TAM, professional services, or field engineering) with direct hiring and performance-management responsibility.
• Experience supporting multi-tenant SaaS and on-prem deployments of the same product.
• Proficiency with at least one cloud platform (AWS, GCP, Azure) and working knowledge of more than one.

Responsibilities

• Lead and coach a team of Solutions Architects spanning AWS, GCP, Azure, and on-prem deployments.
• Own hiring plans, ramp, and regional coverage across time zones.
• Be the technical escalation point for critical customer infra failures and drive post-incident learnings.
• Deliver and evolve reference architectures, runbooks, automation, and enablement content.
• Stay hands-on with architecture reviews, deployments, and root-cause analysis in customer environments.

Skills

Hands-on Docker/Kubernetes/Helm

Python

Terraform

SRE/Platform experience

Leadership/people management

Cloud platforms (AWS/GCP/Azure)

Kubernetes patterns (Operators/CRDs)

Workshops/demos enablement

Tools

Terraform

Kubernetes

Helm

Job description

• Our Solutions Architecture team at Weights & Biases is a unique hybrid organization, combining the deep technical skills of Site Reliability Engineering with the consultative expertise of Solutions Architecture
• We focus on ensuring customers can successfully deploy and operate W&B across cloud and on-prem environments while delivering a best-in-class experience that accelerates ML adoption at scale
• The team is the last technical mile between a signed contract and a customer training models in production — and increasingly, the team that decides how fast that happens
• As Manager / Senior Manager, Solutions Architecture, you’ll lead the Solutions Architects who own our most complex customer deployments across AWS, GCP, Azure, and on-prem environments
• This is a player-coach role: you’ll keep your hands on the work — architecture reviews, critical escalations, the occasional deployment you run yourself — while building the team and the systems that scale past you
• You’ll own hiring and ramp in region, coverage across accounts and time zones, and the standard for how deployments get executed and documented
• You’ll be the technical escalation point for customer infrastructure failures and the person regional Sales and Field Engineering leadership come to when a deal turns on a technical outcome
• And you’ll convert recurring customer pain into roadmap input and reusable assets — reference architectures, runbooks, automation, and enablement your team delivers in the field
• Lead and grow a team of Solutions Architects including hiring, onboarding, ramp plans, and performance management
• Stay hands-on in customer environments — architecture reviews, deployment escalations, and root-cause analysis on Kubernetes, networking, storage, and cloud infrastructure issues
• Own the regional coverage model: account assignment, on-call, escalation paths, and response expectations across time zones
• Partner with Sales Engineering, Field Engineering, and Support leadership on pre-sales technical validation, deployment planning, and post-sales adoption
• Drive leverage: turn repeat issues into reference architectures, Terraform and Helm assets, runbooks, and enablement content instead of repeat escalations
• Deliver and coach the team on technical workshops, demos, and customer enablement sessions
• Feed structured field evidence into Product and Engineering to influence roadmap and deployment tooling priorities

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 matchStrong Linux/Unix command line experienceHands-on expertise with Docker, Kubernetes, and Helm charts, plus networking fundamentals (DNS, TLS, ingress, load balancing, proxies) and cloud-managed services (e.g., MySQL, object stores)3+ years managing a customer-facing technical team (Solutions Architecture, SRE, TAM, professional services, or field engineering) with direct hiring and performance-management responsibility — 5+ years for Senior ManagerExperience supporting both multi-tenant SaaS and customer-managed / on-prem deployments of the same productWorking proficiency in Python and familiarity with ML workflows or toolingApplicant 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 authorizationDemonstrated track record of systematically diagnosing and resolving production infrastructure issues in customer-owned environmentsProficiency with at least one cloud platform (AWS, GCP, Azure); working knowledge of more than one is a plus7+ years total hands-on infrastructure, platform, or SRE experience — 10+ for Senior ManagerProduction experience with Infrastructure as Code, preferably TerraformDemonstrated experience delivering technical workshops, demos, or enablement sessions to customer engineering teamsOr (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agencyYou’re an expert in building and running containerized, distributed systemsSaaS, web service, or distributed systems operations experience at scaleExperience building a regional technical team from a small headcount into a durable function with defined coverage, on-call, and rampYou’re curious about how to scale complex ML systems in production environmentsExperience with air-gapped, sovereign, or regulated-industry deploymentsExperience with GPU infrastructure and distributed training workloadsDeep proficiency in Kubernetes design patterns, including Operators and CRDsFamiliarity with data engineering and MLOps tooling (e.g., Ray, Kubeflow, Slurm, Airflow, SageMaker, Vertex AI)You’d rather write the runbook once than answer the same escalation five timesYou’re comfortable being the calm one on a customer bridge call at 2am, and the one who makes sure it doesn’t happen againYou love diving into infrastructure problems and solving them systematically — and you get more satisfaction from your team solving them than from solving them alone