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Salary: USD 190,000 - 250,000 / annual
Kalepa is building professional-grade AI systems for the insurance industry, automating underwriting, claims, pricing, and operations workflows. The company is backed by leading investors including IA Ventures and Inspired Capital, with a team drawn from Facebook, Palantir, Google, Amazon, McKinsey, Mastercard, and Uber.
You will be Kalepa's first dedicated Revenue Operations hire, reporting to the Vice President of Operations and partnering closely with the Chief Revenue Officer. This is a foundational role where you will design and scale the operating system behind the go-to-market function from scratch.
Key responsibilities include:
- Developing Kalepa's forecasting methodology and running regular pipeline/forecast cadences with leadership to surface risks early
- Overseeing the entire GTM tech stack, including CRM (HubSpot), data enrichment tools, and AI-powered automation; evaluating and implementing new tools to accelerate GTM productivity
- Working with the CRO and finance to design sales compensation plans aligned with company goals
- Building territories in partnership with the CRO, including account segmentation, quota setting, and annual GTM planning
- Serving as the source of truth for GTM metrics and reporting to the executive team and board
You will work daily with Sales, Marketing, Client Success, and the founding team. The company values hustle, customer impact, meritocracy, transparency, and relentless experimentation. Kalepa maintains a global remote workforce and invests in bringing teams together for regional meetups and annual global offsites.
REQUIREMENTS:
- 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
- Track record of working with GTM and finance leadership to design and run GTM compensation plans
- Experience building forecasts for enterprise sales motions with long, multi-stakeholder cycles
- Comfort presenting to executives with clear recommendations and judgment to deliver data-driven insights
- Experience owning and implementing a modern, AI-powered GTM tech stack
