Own end-to-end commercial insurance sales from first conversation to bound policy, using an in-house AI platform for coverage analysis and automated submission packages. Drive relationships and client advisory while leveraging automation to accelerate submissions and reduce manual work. Collaborate with engineering to improve tools, scale a book of business, and contribute to company culture and operations as an early hire.
At Coverwatch we are building the next-generation AI-native commercial insurance broker. Commercial insurance is a $1T market where the core work still runs on email, PDFs, spreadsheets, and manual labor. It's the next industry that will be completely rewritten by AI.
We’re a team of 2nd time founders (ex-YC, Pear VC) who previously built a tech-enabled services company, and worked at companies like Google and Goldman Sachs. We're backed by top investors and a group of insurance founders and operators.
You will be responsible for owning end-to-end insurance sales directly with customers. From first conversation to bound policy.
However, this will be different from any other producer role. You will have access to our rapidly improving in-house AI platform for coverage analysis and policy placement - the tools at your disposal will enable you to build a book 5-10x larger than at a traditional brokerage.
We’ve even had wholesale brokers tell us our submission packets are so clean “underwriters that typically send me questions on every application don’t even ask any in your applications”.
You will have:
- Deeply refined coverage analysis reports, informed by industry experts
- End-to-end automated submission packages (Acords, supplementals, web portals)
- Automated followups to insureds for additional information and underwriters for submission updates
Our process enables us to do 2-day turnarounds when industry norm can be 2-4 weeks. You will focus your time on relationships and client advisory not chasing submissions and ACORDS.
As an early producer in the team you will also have a say on the future of the company culture and operations. We are highly collaborative and you’ll have a team of very experienced engineers at your disposal to improve the tools you use every day.
We don't run the traditional 40/20 commercial broker model. The math doesn't work for either of us. We run AE-style ramped comp:
- $80K to $120K base depending on experience
- Uncapped commission on new business
- Year-1 OTE $150K to $250K, no cap
- Founding-hire equity
Sell for the first 6 months and prove the motion. Then it's your call: keep producing and build a real book (books scale 5 to 10x past incumbent benchmarks here), move into operations, or lead the next class of producers we hire.
Hungry, driven, and with a natural ability to sell and support our customers in critical business decisions. We're open to a wide range of backgrounds:
- Commercial insurance producers with 2-5 years of experience who can see traditional retail getting rewritten without them
- 2-3 years high-velocity SMB or B2C sales, any industry (SDRs, AEs, mortgage, real estate, anyone who's lived on the phone)
- Zero sales experience but a track record of being a machine. Relentless, organized, low-ego, picks things up fast
P&C license is nice to have - you can also get it on the job and we'll fund it.
You can spend another 5 years at HUB, Marsh, or Lockton watching the industry get rewritten by AI. Or you can be on the team doing the rewriting. The producers who join Coverwatch in 2026 are the founders, GMs, and VPs of this company in 2028.
The base pay range for this role is $80,000 – $120,000 per year.
Similar Jobs
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Serve as the local HR/People Services point of contact for warehouse branches: manage escalations, standardize SOPs, improve leave/payroll/benefits processes, drive self-service and capability building, lead PS project governance, establish people data analytics and loss-reduction plans, and support regional branches with up to 20% travel.
Top Skills:
AdpExcelServicenowTime And Attendance SystemsWorkday
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Drive new-logo outbound sales to restaurant merchants, owning prospecting, discovery, demos, negotiation, and deal close. Build and execute an outbound strategy, partner with business development, product, and marketing, use Salesforce to manage pipeline, and meet monthly sales goals while supporting onboarding and field relationship-building.
Top Skills:
AfterpaySalesforceSquare
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Outbound-focused senior account executive responsible for sourcing and closing new restaurant merchant logos. Duties include prospecting, discovery, demos, consultative selling of Square ecosystem, field relationship building, partnering with BD/Product/Marketing, managing the sales cycle and onboarding, and meeting monthly sales KPIs using Salesforce.
Top Skills:
SalesforceSquare
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
