layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Applied Science Platform Lead at Stand Insurance | LAYIQ

Lead the platform sub-team
— set priorities, coordinate execution, and unblock the team to deliver on critical software and infrastructure initiatives.
Manage and grow the team
— run 1:1s and growth conversations, give direct and timely feedback, manage performance, and mentor engineers as the team scales.
Design, build, and scale core systems spanning physics simulation, AI, digital twins, computer vision, and spatial intelligence, contributing directly to core components.
Own production pipelines
— debug, monitor, and resolve issues to improve uptime and reliability.
Build and support scalable ML infrastructure
— 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
— coordinate across Applied Science and the business, communicate modeling decisions and tradeoffs, and articulate a multi-year vision for how the team’s work moves the business forward.
Core Skills (Must-Haves): Technical leadership and ownership
: managing and leading engineers and complex initiatives, delivering through others as well as hands-on, with strong planning, prioritization, and stakeholder coordination from concept through production.
5+ years building production-grade data, simulation, or modeling pipelines with end-to-end automation, monitoring, and alerting.
Strong DevOps ownership
: cloud infrastructure, infrastructure-as-code, containerization, CI/CD, automated testing, observability, and incident response for systems your team runs.
Depth in distributed, data-heavy systems
: debugging across APIs, preprocessing, modeling, and downstream consumers; cluster compute (SLURM, Kubernetes) and orchestration (Prefect, Airflow).
Business judgment and succinct communication
: translate SME needs into platform capabilities and balance research depth, timelines, and impact.
Nice to Haves: 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, even if your background leans toward one area.
Experience supporting physics-based or simulation-heavy workflows (e.g., CFD, multiphysics, digital twins) in production, with strong physical-simulation intuition.
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
AI in the Interview Process
Thoughtful use of AI tools is expected and valued at Stand. Candidates should be prepared to discuss how they use AI, how they evaluate its output, and how it informs their work. Strong communication, sound judgment, and the ability to clearly articulate experience and decision-making remain core requirements.
Some parts of the interview process are designed to assess independent thinking, communication, and problem-solving. If you plan to use an AI assistant or LLM during any portion of an interview, please discuss it with your interviewer in advance.
Work Authorization
Candidates must be authorized to work in the U.S. Stand does not sponsor new work visas. We can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more remaining.
Equal Opportunity Employment
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. If you require assistance
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
AI Use in Hiring
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Applied Science Platform Lead

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