Manager of Account Solutions (Architecture Greenfields)
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 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 match
- Strong Linux/Unix command line experience
- 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)
- 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
- Experience supporting both multi-tenant SaaS and customer-managed / on-prem deployments of the same product
- Working proficiency in Python and familiarity with ML workflows or tooling
- Applicant 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 authorization
- Demonstrated track record of systematically diagnosing and resolving production infrastructure issues in customer-owned environments
- Proficiency with at least one cloud platform (AWS, GCP, Azure); working knowledge of more than one is a plus
- 7+ years total hands-on infrastructure, platform, or SRE experience — 10+ for Senior Manager
- Production experience with Infrastructure as Code, preferably Terraform
- Demonstrated experience delivering technical workshops, demos, or enablement sessions to customer engineering teams
- Or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency
- You’re an expert in building and running containerized, distributed systems
- SaaS, web service, or distributed systems operations experience at scale
- Experience building a regional technical team from a small headcount into a durable function with defined coverage, on-call, and ramp
- You’re curious about how to scale complex ML systems in production environments
- Experience with air-gapped, sovereign, or regulated-industry deployments
- Experience with GPU infrastructure and distributed training workloads
- Deep proficiency in Kubernetes design patterns, including Operators and CRDs
- Familiarity 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 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
- 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
Skills
- AI
- Airflow
- Automation
- AWS
- Azure
- Cloud
- Data Engineering
- Design Patterns
- Distributed Systems
- Distributed Training
- DNS
- Docker
- GCP
- GPU
- Helm
- Infrastructure as Code
- Kubeflow
- Kubernetes
- Linux
- Machine Learning
- MLOps
- MySQL
- Networking
- Performance Management
- Pre-sales
- Python
- Root Cause Analysis
- SaaS
- SageMaker
- Sales Engineering
- Slurm
- SRE
- Terraform
- TLS
- Unix
- Vertex AI