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About the Role

Lead the platform sub-team within Applied Science, responsible for building, deploying, and supporting physics simulations, digital twins, AI/ML models, and spatial intelligence. Own technical direction, planning, and execution of critical platform initiatives, ensuring alignment with stakeholders and measurable outcomes. This player-coach role involves direct technical work, people management, project planning, and cross-team coordination.

Responsibilities

Lead the platform sub-team, setting priorities, coordinating execution, and unblocking the team for 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.
Own production pipelines, including 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 articulating a multi-year vision.

Requirements

Technical leadership and ownership experience, including managing engineers and complex initiatives, delivering through others, and hands-on work.
5+ years of experience 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, including debugging across APIs, preprocessing, modeling, and downstream consumers.
Experience with cluster compute (SLURM, Kubernetes) and orchestration (Prefect, Airflow).
Business judgment and succinct communication skills to translate SME needs into platform capabilities and balance research depth, timelines, and impact.
Startup or zero-to-one technology development experience is a plus.
Hands-on data and ML infrastructure experience is a plus.
Breadth across backend, AI pipelines, simulations, and digital twins is a plus.
Experience supporting physics-based or simulation-heavy workflows in production is a plus.
Knowledge of geospatial, remote-sensing, or Earth-observation datasets and systems is a plus.
Experience working directly with business or product teams on customer-facing technology is a plus.
Experience collaborating with MLEs on training pipelines and dataset construction for large-scale models is a plus.
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.

Skills

Physics simulation
Digital twins
AI/ML models
Spatial intelligence
Production AI training and inference
Simulation pipelines
Infrastructure reliability
CI/CD
Geospatial data processing
Annotation and QC systems
Cloud infrastructure
Infrastructure-as-code
Containerization
Automated testing
Observability
Incident response
Distributed systems
Data-heavy systems
Cluster compute
Kubernetes
Prefect
Airflow
ETL
Dataset construction
GPU training and inference
Model monitoring
Physics-based workflows
Remote-sensing datasets
Earth-observation systems

Location

U.S.

Work Type

Full-time

Experience Level

5+ years building production-grade data, simulation, or modeling pipelines
Technical leadership and ownership

Salary/Compensations

$240,000 to $295,000 + 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 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.
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.
Thoughtful use of AI tools is expected and valued at Stand.
We may use artificial intelligence (AI) tools to support parts of the hiring process.

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.