Stand

Full-stack Engineer

• Define and implement the skill-and-eval contract, running end-to-end for one real vertical.
• Build an opinionated platform for agent deployment and lifecycle management.
• Develop a high-throughput orchestration engine designed to manage agents and evaluations at scale.
• Work at the seam between the surface people use, the operating map underneath it, and the shared platform services below that.
• Partner closely with Applied Science, training their own models leveraging the harness.

Technical Staff Member – Agentic Engineer

Machine Learning Engineer

• Design, build, and deploy machine learning systems spanning multimodal learning, physics-informed AI, digital twins, and spatial intelligence, contributing directly to core business impact
• Own projects end-to-end, from problem definition and prototyping through production deployment, adoption, and ongoing performance monitoring
• Develop rigorous evaluation frameworks that weigh model judgments against real business outcomes
• Build on and extend scalable ML infrastructure
• Partner with Stand’s Platform team on the model-harness interface
• Drive cross-functional alignment, communicating decisions, tradeoffs, and status

Machine Learning Engineer – Multimodal Modeling

General

• Underwrite and manage a portfolio of high-net-worth personal lines business, with a focus on wind-exposed properties and complex risks.
• Evaluate submissions, determine risk acceptability, structure coverage terms, and establish pricing consistent with underwriting guidelines and authority.
• Develop creative solutions for non-standard risks while maintaining profitability and portfolio quality.
• Partner closely with brokers to provide fast, clear, and consultative underwriting decisions.
• Collaborate with mitigation, engineering, product, and commercial teams to improve risk selection and customer outcomes.
• Maintain high-quality underwriting documentation and audit-ready files.
• Manage portfolio performance against premium, policy count, profitability, and risk quality objectives.
• Champion new underwriting tools, workflows, and technology-enabled improvements that enhance efficiency and decision quality.
• Contribute underwriting insights that help evolve Stand's appetite, guidelines, and operating model.

Senior Underwriter

Chief Marketing Officer

• You are our first marketing hire, and this is a rare role.
• Instead of inheriting a team or a mature function, you build the initial operating system from zero.
• Audience segmentation and analytics. You work closely with sales to sharpen our ICP, build the segmentation, and set the messaging framework for each segment.
• Turn broker relationships, leads, and CRM data into segmented campaigns, nurture flows, and product notifications that keep brokers active and moving.
• You build the marketing that makes brokers more successful with their customers and turns that into acquisition for Stand.
• You make the difference clear and make the market and our brokers feel it, not just read it.
• You build it, direct it, and automate the repeatable so the function stays lean and high-output and your time goes to judgment and taste.

Head of Marketing

Account Executive

• Own a portfolio of broker relationships
• Grow the number of producers sending business
• Convert submissions with speed and discipline
• Optimize portfolio by leaning into the best producers
• Educate and train brokers to improve performance

Senior Account Executive

Platform Engineer

• Own and support production simulation pipelines, debugging, monitoring, and resolving issues across wildfire simulation and related workflows to improve uptime and MTTR.
• Strengthen CI/CD and infrastructure reliability across simulation, digital twin, and ML pipelines through automated testing, safe deployments, and compute efficiency.
• Build and operate annotation and QC systems for digital twins, improving quality and reducing manual effort via ML-assisted workflows.
• Develop digital twin capabilities, including multiphysics-adjacent features for wind, flood, and other perils.
• Integrate new peril pipelines end to end, across multiple scales, connecting preprocessing, vendor and geospatial data, simulation workflows, and post-processing modules.
• Partner with MLEs on AI pipelines, supporting training, inference, and continuous improvement (e.g., FireNet).
• Design and operate geospatial pipelines, merging heterogeneous spatial datasets into reproducible, production-grade workflows.
• Communicate clearly across teams on pipeline stability, data quality, and failures to enable fast iteration.

Simulation Platform Engineer

Accountant

• Execute recurring monthly close activities, including assigned GL accounts, journal entries, reconciliations, and supporting schedules.
• Prepare accruals, prepaids, fixed assets, cash, credit card, expense, AP, and vendor reconciliations with clear supporting documentation.
• Maintain accurate books across Stand’s multi-entity structure, including HoldCo, captive, reciprocal, intercompany activity, allocations, cash activity, and expense coding.
• Support insurance accounting activities, including premium, claims, loss, LAE, policy billing and servicing, and reinsurance entries and schedules.
• Tie accounting records to underwriting, claims, and operational source data, and document variances with clear ownership and next steps.
• Support AP processing, payment runs, vendor documentation, expense coding review, recurring accrual schedules, and approval compliance.
• Prepare support for audit, CPA, statutory, regulatory, captive reinsurance, management, investor, and board reporting requests, while building lightweight templates and checklists that make the close process more repeatable.

Senior Accountant

• Translate complex domain problems into shippable systems
• Decide what to build, not just how to build it
• Productize models, pipelines, and tools that directly impact risk, revenue, and customer behavior
• Take responsibility for entire problem spaces - architecture, quality, reliability, and long-term evolution
• Partner with stakeholders to shape scope, define success metrics, and make informed tradeoffs under uncertainty
• Move between zero-to-one builds and hardening existing systems
• Use modern tools, including LLMs and agents, to increase team velocity
• Explain decisions, surface risks early, and create shared understanding across technical and non-technical partners

Technical Staff Member – Product Engineer

Product Analyst

• Analyze product and segment performance across metrics, such as mix of business, bind ratio, loss ratio, underwriting funnel, retention, and segmentation
• Build dashboards, reporting, and recurring management insights, connecting business decisions to measurable business outcomes
• Identify trends, issues, and opportunities that inform product, pricing, and underwriting decisions
• Recommend product changes, including risk selection or underwriting operational efficiencies
• Ensure reporting logic, definitions, and data sources are clearly documented
• Develop and maintain a strong understanding of product configuration, rating logic, underwriting rules, and workflows
• Translate product decisions and analysis into clear requirements, documentation, and implementation plans
• Partner with Engineering to implement product, rate, and rule changes accurately
• Ensure high-quality execution through QA, validation, and anticipation of downstream impacts across underwriting, actuarial, and operations
• Assist with rate, rule, and form filings, partnering with compliance and internal stakeholders as needed
• Prepare state-specific analyses for new market launches, including coverages, eligibility rules, and CAT exposure considerations
• Analyze and document key state differences to support product and actuarial decision-making
• Support impact analysis for product changes, including rule, rate, eligibility, and coverage updates
• Partner with Product and Actuarial on pre-launch estimates and post-launch measurement
• Research competitor pricing, coverages, deductibles, and underwriting approaches
• Summarize market insights to support product strategy and roadmap decisions
• Identify product gaps, opportunities, and risks across target states

Insurance Product Analyst

Product Manager

• Develop and launch new homeowners, condo, and dwelling fire products in catastrophe-exposed markets, including market strategy, rate and form filings, and business requirements for technology implementation.
• Partner with Actuarial, Underwriting, and Distribution teams to design pricing, underwriting, and exposure management strategies that support growth and profitability objectives.
• Monitor post-implementation portfolio performance to constantly evaluate the performance of the business and recommend actions to improve results.
• Gather and synthesize market intelligence through competitor filings, distribution partner feedback, underwriting insights, and other market research to identify opportunities and emerging risks.
• Lead state regulatory strategy and engagement, including rate, rule, and form filings and responses to regulatory inquiries.
• Resolve complex cross-functional business challenges through data-driven analysis, stakeholder alignment, and execution leadership.
• Support other initiatives as strategic opportunities dictate

Head of Wildfire Insurance Product & Pricing

Head of SE Hurricane Insurance Product – Pricing

Frontend Engineer

• Own front-end tooling for the Applied Science team, from design through production
• Partner with Product to evolve deep-tech into fully supported features aligned with user needs
• Build efficient, intuitive interfaces to visualize, edit, and label digital twins in our simulation pipelines
• Collaborate across teams to transform CFD and AI outputs into actionable visualizations
• Integrate diverse data sources (e.g., LiDAR, drones, ground-data), capturing real-world changes
• Leverage off-the-shelf ML models to accelerate simulation prep and property assessments

Frontend Visualization Engineer

• Design and support controlled fire experiments by defining test conditions, configurations, and instrumentation layouts
• Operate experimental instrumentation, DAQ systems, and cameras during live fire tests to ensure complete and synchronized data capture
• Troubleshoot sensor, DAQ, and timing issues under real test-day constraints
• Process raw experimental outputs into clean, reproducible, validation-ready datasets using repeatable workflows
• Support numerical simulations and perform experimental–simulation comparisons for fire model validation
• Maintain clear run logs, data documentation, and experimental runbooks to ensure repeatability and knowledge transfer