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Stand Insurance

Market Lead

San Francisco, California, United States

Location
San Francisco, California, United States
Work
Hybrid
Employment
Full-time
Level
Lead / staff
Function
Marketing
Pay
$250K – $280K a year
Posted
4 months ago

Pay and the market here

The top of this role’s range, $280K a year, is 22% above the median of $230K for lead / staff marketing jobs in San Francisco (middle half $200K – $280K, 125 jobs that state pay).

982 marketing jobs open in San Francisco: 13% remote, 317 posted in the last 30 days.

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About the role

Why Join Stand: At Stand, you’ll help build a new class of global property protection. We use 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, our Stand World Model.

We stay when traditional insurers exit. We model what others approximate. And we build systems that change outcomes, not just prices.

Our leadership team has built category-defining companies (Metromile, Policygenius, WePay, HotelTonight) and brings decades of expertise in underwriting, capital management, and reinsurance.

Background: The property insurance industry is built to price loss after it happens. It relies on coarse proxies, backward-looking data, and manual processes, then accepts damage as unavoidable.

Stand takes a different approach. We simulate how real-world catastrophes affect individual properties, translate that into actionable decisions, and automate the business around it. The result is a platform that can underwrite what others can’t and operate with far less friction.

The role

You own a portfolio of broker relationships in your western market and you build the business through them. You grow the number of producers sending you business, convert their submissions fast and clean, and manage your book like an owner. You become the preferred choice at the brokerages you cover, so they commit real volume to Stand. And as brokers move toward self-binding, you become their teacher: the person who makes them better at placing good risk with us.

What you will own

  • Grow the top of the funnel. More producers, more submissions per producer. This is the most important part of the role.
  • Convert with speed and discipline. Run the deal from lead to quote to bind. Nothing goes stale.
  • Optimize your portfolio. Lean into the best producers, build spread and depth, win committed volume.
  • Educate and train your brokers. Make them better, and bring their voice back into Stand.

What you bring

  • 6+ years in commercial roles with a record of achievement. Sales titles are not required.
  • You love selling and see yourself as commercial. You have won complex, high-stakes deals, whether in sales, partnerships, fundraising, or consulting.
  • You understand channel sales and B2B.
  • Blinding urgency and a need to win.
  • Owner instinct. You take the problem and run with it. You ramp fast and stay flexible when everything changes.
  • Insatiable curiosity and a sense of what is possible.
  • Team-first. No lone wolves. You believe in what we are building.
  • P&C or HNW experience is a plus, not a requirement.

This is not the right seat if you

  • Need a defined lane, a playbook, or heavy structure.
  • Only know how to work a queue you are handed.
  • Coast on old contacts instead of building new ones.

Compensation

OTE $250K to $280K. True 50/50 base and variable. Uncapped upside.

Full bonus support through ramp.

Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data.

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, please contact us at hr@standinsurance.com.

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 at hr@standinsurance.com.

Source

Posted by Stand Insurance on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 11:51 UTC; the original is the reference.

View the original ad ↗

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