Director of Account Solutions Architecture
Posted Updated
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 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]
- 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
- 5+ years leading a customer-facing technical organization, including 2+ years managing managers or team leads
- Familiarity with ML workflows, MLOps tooling, and how ML platforms are operated in production
- 12+ years total experience with a hands-on infrastructure, platform, SRE, or solutions engineering foundation
- Strong Linux/Unix command line experience
- Technical depth sufficient to lead an architecture review: Kubernetes, Helm, containerization, networking, storage, and cloud-managed services
- Proficiency across multiple cloud platforms (AWS, GCP, Azure) plus on-prem or self-managed deployment experience
- Production experience with Infrastructure as Code, preferably Terraform, and with IaC standards adopted across a team
- Demonstrated experience owning a headcount plan and capacity model, including build-versus-partner delivery decisions
- 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
- Experience operating a distributed team across multiple countries and time zones
- Demonstrated experience influencing product roadmap with structured, evidenced field input
- 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’re an expert in building and running containerized, distributed systems
- You think about leverage first: what automation, documentation, or hire makes the next hundred deployments easier
- You’re curious about how to scale complex ML systems in production environments
- You love diving into infrastructure problems and solving them systematically — and you build the teams and systems that keep them solved
- You are comfortable being the technical voice in the room with a customer executive team, and the one who tells Product what they do not want to hear
- 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