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About the Role

Lead the Applied Science platform sub-team, owning technical direction, planning, and execution of initiatives related to physics simulations, digital twins, AI/ML models, and spatial intelligence. This player-coach role involves direct technical work, people management, project planning, and cross-team coordination to ensure effective team operation and delivery of impactful outcomes.

Responsibilities

• Lead the platform sub-team, setting priorities, coordinating execution, and unblocking the team for critical software and infrastructure initiatives.
• Manage and grow the team, including running 1:1s, growth conversations, performance management, and mentoring.
• Design, build, and scale core systems for physics simulation, AI, digital twins, computer vision, and spatial intelligence, contributing directly to core components.
• Own production pipelines, debugging, monitoring, and resolving issues to improve uptime and reliability.
• Build and support scalable ML infrastructure, including data pipelines, training systems, evaluation frameworks, and production monitoring.
• Design and operate geospatial pipelines that merge heterogeneous spatial datasets into reproducible, production-grade workflows.
• Strengthen CI/CD and infrastructure reliability across simulation, digital-twin, and ML pipelines.
• Drive cross-functional alignment and set direction by coordinating across Applied Science and the business, communicating modeling decisions and tradeoffs, and articulating a multi-year vision.

Requirements

• Experience leading engineers and technical initiatives, delivering complex projects through others and direct individual contribution.
• 5+ years building production-grade data, simulation, or modeling pipelines with end-to-end automation, monitoring, and alerting.
• Strong project ownership and execution, including planning, prioritization, stakeholder coordination, and delivery from concept through production.
• Proven ability to debug distributed, data-heavy systems spanning APIs, preprocessing, modeling, and downstream consumers.
• Hands-on experience with cloud infrastructure and CI/CD, including infrastructure-as-code, automated testing, and reliable deployment.
• Experience with cluster compute and job scheduling (e.g., Slurm and/or Kubernetes) and workflow orchestration (e.g., Prefect or Apache Airflow).
• Comfort working across backend, AI pipelines, simulations, and digital twins.
• Ability to connect technical work to business objectives and customer impact, and translate SME needs into robust platform capabilities.
• Strong, succinct communication skills and the judgment to balance research depth, delivery timelines, and business impact.
• Candidates must be authorized to work in the U.S.
• Can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more remaining.

Skills

• Physics simulations
• Digital twins
• AI/ML models
• Spatial intelligence
• Production AI training and inference
• Simulation pipelines
• Infrastructure and CI/CD reliability
• Geospatial data processing
• Annotation and QC systems
• Cloud infrastructure
• Infrastructure-as-code
• Automated testing
• Reliable deployment
• Cluster compute
• Job scheduling
• Workflow orchestration
• Backend development
• Computer vision

Location

• U.S.

Work Type

• Full-time

Experience Level

• 5+ years building production-grade data, simulation, or modeling pipelines
• Prior people-management experience (Nice to Have)
• Startup or zero-to-one technology development experience (Nice to Have)

Salary/Compensations

• $200,000 to $240,000 + meaningful Equity Grant

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

About the Company

• At Stand, you’ll help build a new class of global property protection using advanced physics and AI to model catastrophic risk at the asset level, then automate underwriting and mitigation before loss occurs.
• The real product is a scalable risk engine, our Stand World Model.
• We stay when traditional insurers exit, model what others approximate, and build systems that change outcomes, not just prices.
• Our leadership team includes former successful founders and CEOs from Metromile, PolicyGenius, WePay, and HotelTonight, bringing deep experience in building and scaling high-growth companies.
• The property insurance industry is built to price loss after it happens, relying on coarse proxies, backward-looking data, and manual processes. Stand simulates how real-world catastrophes affect individual properties, translates that into actionable decisions, and automates the business around it, enabling underwriting of what others can’t and operating with far less friction.

Equal Opportunity

• Stand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community.
• We are committed to providing reasonable accommodations for qualified individuals.
• Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.