Senior Manager of Revenue Operations, Kalepa
$215-250k
Offers equity
AI-driven commercial insurance provider
Be an early applicant
AI-driven commercial insurance provider
21-100 employees
Be an early applicant
$215-250k
Offers equity
21-100 employees
Company mission
To help commercial and specialty insurers bind with confidence.
Role
Who you are
- 7+ years in Revenue Operations, Sales Operations, or GTM Strategy & Operations at a high-growth, VC-backed AI/SaaS startup
- Experience as the first or an early RevOps hire, building the function from scratch and owning it all (or significant pieces of it)
- A track record of working with GTM and finance leadership to design GTM compensation plans and running them
- Experience building forecasts for enterprise sales motions with long, multi-stakeholder cycles
- Comfort presenting to executives with a clear recommendation, and the judgment to deliver data-driven insights
- Experience owning and implementing a modern, AI-powered GTM tech stack
What the job involves
- Kalepa is bringing on our first dedicated Revenue Operations hire to build and scale the operating system behind our go-to-market team and drive Kalepa’s rapid growth
- This is a high-impact, foundational role that will allow you to design systems from scratch: forecasting, pipeline management, territory design, analytics, and other critical revenue operations projects
- You’ll report to the Vice President of Operations, partner closely with the Chief Revenue Officer, and work daily with Sales, Marketing, Client Success, and the founding team
- Forecasting and pipeline management: Develop Kalepa’s forecasting methodology, run the regular pipeline/forecast cadence with leadership, and surface risks early
- Own a GTM tech stack for the AI era: Oversee the entire tech stack, including but not limited to our CRM (HubSpot), data enrichment tools, and AI-powered automation. You’ll evaluate and implement new tools to accelerate growth and productivity of our GTM teams
- Compensation: Work closely with our CRO and finance to design compensation plans that align with Kalepa’s goals
- Book of Business and Capacity Planning: Build territories in partnership with the CRO, including account segmentation, quota setting, and annual GTM planning
- Analytics and Reporting: Be the source of truth for GTM metrics and reporting - including for Kalepa’s executive team and board meetings
Our take
Insurance products that are underwritten at the Efficient Frontier are essential for businesses to mitigate financial risk, but one-size-fits-all approaches to insurance results in many coverage plans being unfairly priced. The reason for this is that whilst businesses each present their own unique set of hazards, identifying them for each company is an incredibly lengthy process for human underwriters.
Kalepa leverages human-interrupted artificial intelligence to identify the true hazards of a business through a data-driven approach and provide insurance that is priced accordingly. The company claims that it reduces the time that insurance providers take to provide quotes by over 40% and helps businesses save over $15M in losses, whilst also improving coverage uptake for insurance providers.
Whilst the commercial insurance sector is certainly oversaturated, Kalepa stands out by providing its AI-driven underwriting platform to insurance providers, helping them compete through faster quotes and lower prices. In addition to its underwriting platform, the company also provides its solutions in the form of embeddable APIs, and recently formed a new MGA that will underwrite excess casualty risks using Everspan paper.
Freddie
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Company HQ
Flatiron District, New York, NY
Leadership
Paul Monasterio
(Co-Founder & CEO)Prior to co-founding Kalepa in 2018, Paul worked in Strategy and Measurement at Facebook and served as the VP at Applied Predictive Technologies.
Daniel Hillman
(Co-Founder & COO)Previously a VP of Sales at Mastercard and Applied PRedictive Technologies.
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