Applied Science Platform Lead

The role

You will lead the platform sub-team within Applied Science to build, deploy, and support physics simulations, digital twins, AI/ML models, and spatial intelligence. This player-coach role involves technical leadership, people management, and designing scalable core systems.

What you will do

• Lead the platform sub-team by setting priorities and coordinating execution
• Manage and grow the team through 1:1s, feedback, and mentoring
• Design, build, and scale core systems for physics simulation, AI, digital twins, computer vision, and spatial intelligence
• Own production pipelines by debugging, monitoring, and resolving issues
• Build and support scalable ML infrastructure including data pipelines and training systems
• Design and operate geospatial pipelines
• Strengthen CI/CD and infrastructure reliability
• Drive cross-functional alignment and communicate modeling decisions

Required qualifications

• Technical leadership and ownership of managing engineers and complex initiatives
• 5+ years building production-grade data, simulation, or modeling pipelines with end-to-end automation, monitoring, and alerting
• Strong DevOps ownership including cloud infrastructure, infrastructure-as-code, containerization, CI/CD, automated testing, observability, and incident response
• Depth in distributed, data-heavy systems
• Experience with cluster compute (SLURM, Kubernetes) and orchestration (Prefect, Airflow)
• Business judgment and succinct communication

Nice to have

• Startup or zero-to-one technology development experience
• Hands-on data and ML infrastructure: ETL over large heterogeneous datasets, dataset construction, GPU training and inference, evaluation frameworks, and production model monitoring
• Breadth across backend, AI pipelines, simulations, and digital twins
• Experience supporting physics-based or simulation-heavy workflows in production
• Knowledge of geospatial, remote-sensing, or Earth-observation datasets and systems
• Experience working directly with business or product teams on customer-facing technology
• Experience collaborating with MLEs on training pipelines and dataset construction for large-scale models

Benefits

• Above-market Health, Dental, and Vision coverage
• Weekly lunch stipend
• Flexible time off + holidays
• 401(k) plan
• Commuter benefits
• PAT & MAT Leave
• Short-Term and Long-Term Disability
• Monthly team gatherings
• In-office perks

Before you apply

• Candidates must be authorized to work in the U.S.
• Stand does not sponsor new work visas
• Can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more remaining
• Candidates should be prepared to discuss how they use AI
• If you plan to use an AI assistant or LLM during any portion of an interview, please discuss it with your interviewer in advance

About the company

Stand builds a scalable risk engine called the Stand World Model using advanced physics and AI to model catastrophic risk. The leadership team has built category-defining companies including Metromile, Policygenius, WePay, and HotelTonight.