Manager, Account Solutions Architecture Greenfields

What You'll Do:

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.

About the Role:

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 in [REGION]. 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 covering [REGION], 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

Who You Are:

• 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 Manager
• 7+ years total hands-on infrastructure, platform, or SRE experience — 10+ for Senior Manager
• Demonstrated track record of systematically diagnosing and resolving production infrastructure issues in customer-owned environments
• Hands-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)
• Production experience with Infrastructure as Code, preferably Terraform
• Proficiency with at least one cloud platform (AWS, GCP, Azure); working knowledge of more than one is a plus
• Strong Linux/Unix command line experience
• Working proficiency in Python and familiarity with ML workflows or tooling
• Experience supporting both multi-tenant SaaS and customer-managed / on-prem deployments of the same product
• Demonstrated experience delivering technical workshops, demos, or enablement sessions to customer engineering teams

Preferred:

• Deep proficiency in Kubernetes design patterns, including Operators and CRDs
• Experience building a regional technical team from a small headcount into a durable function with defined coverage, on-call, and ramp
• Familiarity with data engineering and MLOps tooling (e.g., Ray, Kubeflow, Slurm, Airflow, SageMaker, Vertex AI)
• Experience with GPU infrastructure and distributed training workloads
• SaaS, web service, or distributed systems operations experience at scale
• Experience with air-gapped, sovereign, or regulated-industry deployments

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 diving into infrastructure problems and solving them systematically — and you get more satisfaction from your team solving them than from solving them alone
• You're curious about how to scale complex ML systems in production environments
• You're an expert in building and running containerized, distributed systems
• You'd rather write the runbook once than answer the same escalation five times
• You're comfortable being the calm one on a customer bridge call at 2am, and the one who makes sure it doesn't happen again

Why Us?

We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss. 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 prepare for takeoff, the growth opportunities within the organization continue to expand. 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 $182,000 to $242,000. 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).