Analysis Skills, Artificial Intelligence (AI), Consulting, Data Analysis, Data Management, Data Modeling, Documentation, Economics, Fax Machines, Financial Modeling, Financial Operations, Financial Services, Fundraising, Insurance, Lead Generation, Life Insurance, Mentoring, Operational Audit, Product Strategy, Relationship Management, Sales Management, Spreadsheets, Startup, Vendor/Supplier Evaluation, Venture Capital, Writing Skills
LOCATION
New York, New York
POSTED
11 days ago
Chief of Staff
New York City, NY · On-site · Full-time Compensation: $130,000 – $180,000 + 0.1%–0.3% equity
About the Company
An AI-native consumer insurance broker rewiring a trillion-dollar industry that still runs on phone calls, fax machines, and legacy carrier systems. The platform uses AI agents to quote, bind, and service policies autonomously, saving households money while delivering better protection. The company partners with dozens of the largest US insurance carriers, is preparing to operate across all 50 states, and is launching a new life insurance product line. Founded 2025 · 1–10 people (seed stage) · Industry: FinTech
The Role
A high-leverage generalist role sitting directly next to the CEO. The Chief of Staff owns whatever is most important that week — fundraising, operations, GTM, analytics, partnerships, or product strategy. The scope is intentionally broad and constantly changing. Expect to own a project, solve it yourself first, then systematize, automate, or hand it off as the team grows.
What you'll be doing
Support fundraising end-to-end: investor research, deck iterations, data room management, and follow-up coordination
Own operational projects from start to finish: vendor evaluation, hiring pipeline buildout, and process design
Analyze data to surface insights across lead conversion, unit economics, and carrier performance
Support GTM strategy: lead generation, partnership outreach, and carrier relationship management
Draft investor updates, internal documentation, and external communications without hand-holding
Build out early-stage projects yourself first, then systematize or automate them and hand off to future hires
Jump into whatever is most on fire that week
Nice to have: prior experience at a startup, fintech, or insurtech; exposure to insurance, financial services, or AI-native products; experience managing multi-stakeholder projects or external partnerships; comfort with light financial modeling and operational analysis.
Tech stack: Not specified.
Requirements
1 to 3 years at a top-tier firm (Goldman, McKinsey, Bain, BCG, or comparable); strong new grads considered
Strong analytical skills including spreadsheet proficiency, financial modeling, and data interpretation
Excellent written communication for investor emails, internal docs, and external partner notes
High agency and bias toward action, ships before it is perfect, moves without waiting to be unblocked
Based in NYC or genuinely committed to relocating
High integrity, this is a right-hand role and trust is the foundation of the hire
Green Flags
Background from a top-tier firm or program (Goldman, McKinsey, Bain, BCG, or equivalent)
Has multiple strong offers or optionality, and is choosing startups anyway
Can point to a project they owned end-to-end and drove from start to finish
Scrappy and fast execution mindset
Genuinely excited about building from the ground floor
Eyes light up when talking about the work, not the title or the comp
Red Flags
10+ years at a large consulting or corporate firm, wrong pace and wrong expectations for this stage
Needs heavy direction or structured processes to execute
Changing jobs every 3 months or less
Motivated primarily by title or structured career ladders over ownership and impact
Any integrity concerns, this is an immediate disqualifier
Tier-two firm background without clear evidence they were performing at a tier-one level
Primary background in venture capital (e.g., VC analyst, scouts, associate, investor roles)
Why Join
Right-hand seat to the CEO with direct founder mentorship
Genuine ownership and autonomy from day one
Meaningful equity and a front-row seat to the AI transformation of a $2T industry