Director, Account Solutions Architecture

CoreWeave•San Francisco, CA

2d•$227,000 - $303,000

About The Position

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 Director, Solutions Architecture, you'll own the function across [REGION] — the team, the operating model, and the outcomes. You'll lead managers and senior individual contributors responsible for how W&B is deployed and operated in our largest and most complex accounts, across AWS, GCP, Azure, and on-prem and air-gapped environments. Your central problem is leverage: how technical delivery scales without headcount scaling linearly with revenue, through coverage design, automation, reference architectures, partner enablement, and the management layer you build beneath you. You'll be a peer to Sales, Field Engineering, Support, and Product leadership — accountable alongside them for adoption, retention, and expansion in region — and you'll carry the clearest signal we have on customer reality into roadmap and platform investment. Externally, you'll serve as executive technical sponsor for strategic accounts and the face of W&B engineering credibility in [REGION].

Requirements

5+ years leading a customer-facing technical organization, including 2+ years managing managers or team leads
12+ years total experience with a hands-on infrastructure, platform, SRE, or solutions engineering foundation
Demonstrated track record scaling a post-sales or field technical function through a step change in revenue, customer count, or geography — with the coverage, escalation, and SLA model to show for it
Technical depth sufficient to lead an architecture review: Kubernetes, Helm, containerization, networking, storage, and cloud-managed services
Production experience with Infrastructure as Code, preferably Terraform, and with IaC standards adopted across a team
Proficiency across multiple cloud platforms (AWS, GCP, Azure) plus on-prem or self-managed deployment experience
Strong Linux/Unix command line experience
Familiarity with ML workflows, MLOps tooling, and how ML platforms are operated in production
Demonstrated experience owning a headcount plan and capacity model, including build-versus-partner delivery decisions
Demonstrated experience influencing product roadmap with structured, evidenced field input
Experience operating a distributed team across multiple countries and time zones

Nice To Haves

Deep proficiency in Kubernetes design patterns, including Operators and CRDs
Experience building enablement, certification, or partner-delivery programs that measurably reduced direct delivery load
Regulated, sovereign, or air-gapped deployment experience (government, financial services, healthcare, defense)
Experience with GPU infrastructure, large-scale distributed training, and MLOps platform operations
Experience in a developer-tools or infrastructure company selling to engineering and ML platform teams
SaaS, web service, or distributed systems operations experience at scale

Responsibilities

Own Solutions Architecture across [REGION]: strategy, operating model, headcount plan, capacity forecasting, and leveling
Build and develop the management layer — hire and coach managers and team leads rather than remaining the single escalation point
Define how deployments scale: reference architectures, automation and IaC standards, deployment SLAs, and quality bars across sub-regions
Operate as a senior cross-functional partner to Sales, Field Engineering, Support, and Product leadership, jointly accountable for regional adoption, retention, and expansion
Stand up leverage programs that reduce direct delivery load — customer and partner enablement, certification, self-service tooling, and documentation
Serve as executive technical sponsor for strategic accounts, including escalation ownership at the CTO and VP Engineering level
Translate aggregated field evidence into prioritized roadmap and platform investment recommendations with Product and Engineering leadership
Own the regional forecast for technical delivery capacity, including partner-led and services-led models where they apply