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About the Role
Stand is building 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. This role will bring full-cycle recruiting in-house to fill complex, specialized, and leadership roles quickly and efficiently.
Responsibilities
- Bring full-cycle recruiting in-house across nearly every function at Stand.
- Fill complex, specialized, and leadership roles fast, on quality, and on your own.
- Build a recruiting engine that allows Stand to make dozens of hires.
- Develop a self-sourced pipeline through direct outreach, LinkedIn Recruiter, and referrals.
- Establish a hiring standard with role scorecards and formal interview panels.
- Automate repetitive parts of the process to reduce time-to-hire.
- Ensure a fast, clear, respectful candidate and hiring manager experience.
- Partner with leaders across Product Engineering, Underwriting, Market Leads, and business functions.
- Calibrate with every hiring manager on open roles within the first 30 days.
- Get self-sourced pipelines running across the full req load within the first 30 days.
- Ship the first role scorecards within the first 30 days.
- Hold and close 12–15 complex, specialized, and leadership reqs at once within the first 3 months.
- Ensure each search has an active self-sourced pipeline and hires rated as strong by hiring managers within the first 3 months.
- Build broad, inclusive candidate pools through outbound sourcing.
- Cut average time-to-hire by 20% within the first 6 months.
- Make direct outreach, LinkedIn Recruiter, and referrals the source of 85%+ of hires within the first 6 months.
- Have 5+ standardized scorecards and interview panels in use within the first 6 months.
- Achieve 90%+ hiring-manager satisfaction and a 4.5/5 candidate-experience rating within the first 6 months.
Requirements
- 5+ years running full-cycle recruiting end to end, from sourcing through close, across technical, insurance, and business roles.
- Proven in-house sourcing ability to find and engage strong passive candidates directly, without relying on agencies or external sourcers.
- Experience recruiting at growth-stage startups, holding 12–15 reqs and moving fast under ambiguity.
- Track record of driving time-to-hire down and cost-to-hire under benchmark while keeping durable pipelines for recurring roles.
- Hands-on use of automation and AI tools to run a high req load efficiently, from sourcing and outreach to scheduling and pipeline reporting.
- Ability to build trust with engineering, product, and business leaders, calibrate fast, and stand up scorecards and interview panels with them.
- Consistent inclusive outbound sourcing that builds broad, high-quality candidate pools.
- Candidates must be authorized to work in the U.S.
- Stand does not sponsor new work visas.
- Consideration for 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, how they evaluate its output, and how it informs their work.
- If planning to use an AI assistant or LLM during any portion of an interview, discuss with interviewer in advance.
Skills
- Full-cycle recruiting
- Sourcing
- Direct outreach
- LinkedIn Recruiter
- Referrals
- Role scorecards
- Formal interview panels
- Automation tools
- AI tools
- Pipeline reporting
- Inclusive outbound sourcing
- Closing skills
- Building recruiting functions
- AI in the interview process
- Independent thinking
- Communication
- Problem-solving
Location
- San Francisco
Work Type
- In-person
- Full-time
Experience Level
- 5+ years
Salary/Compensations
- $155,000 to $200,000 + 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
- Stand helps 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.
- Insurance is simply the current delivery mechanism; the real product is a scalable risk engine, the Stand World Model.
- Stand stays when traditional insurers exit, models what others approximate, and builds systems that change outcomes, not just prices.
- The leadership team includes former successful founders and CEOs from Metromile, PolicyGenius, WePay, and HotelTonight.
- 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.
- Stand is building the self-driving insurer: a risk engine that underwrites what others can't and automates the business around it, so Stand grows without growing its org at the same rate.
- 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.
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.