Kalepa

Revenue Operations

• Develop Kalepa’s forecasting methodology and run the regular pipeline/forecast cadence with leadership
• Surface forecasting and pipeline risks early
• Oversee the GTM tech stack, including HubSpot, data enrichment tools, and AI-powered automation
• Evaluate and implement tools to accelerate GTM growth and productivity
• Design compensation plans with the CRO and finance
• Build territories with the CRO, including account segmentation, quota setting, and annual GTM planning
• Own GTM metrics and reporting for the executive team and board meetings
• Report to the Vice President of Operations and partner with the Chief Revenue Officer, Sales, Marketing, Client Success, and founding team

Senior Manager, Revenue Operations

• Build and scale the operating system behind Kalepa’s go-to-market team
• Develop forecasting methodology and run the regular pipeline/forecast cadence with leadership
• Surface pipeline and forecasting risks early
• Oversee the GTM tech stack, including HubSpot, data enrichment tools, and AI-powered automation
• Evaluate and implement new tools to accelerate GTM team growth and productivity
• Design compensation plans with the CRO and finance
• Build territories with the CRO, including account segmentation, quota setting, and annual GTM planning
• Own GTM metrics and reporting for the executive team and board meetings
• Report to the Vice President of Operations and partner with the Chief Revenue Officer, Sales, Marketing, Client Success, and founding team

Backend Engineer

• Contribute to backend services, data pipelines, and ML pipelines supporting products used by commercial insurance underwriters
• Build and improve systems that ingest, process, and reason over large volumes of structured and unstructured data
• Work with documents, third-party sources, and model outputs
• Own features end to end
• Collaborate with full-stack, backend, ML, and platform engineers
• Contribute to designing, building, testing, and operating production systems at scale

Junior Backend Engineer

Full-stack Engineer

• Build and ship production systems as a core engineer
• Work on advanced systems involving NLP, firmographic data, entity resolution, and related technologies
• Solve problems involving large and performant data pipelines, distributed systems, machine learning models, and robust infrastructure
• Collaborate with full-stack, data, ML, and DevOps engineers
• Build scalable and reliable backend solutions
• Drive projects to completion and contribute to the company’s technology and business impact

Full Stack Engineer

• Own backend services, data and ML pipelines, and the infrastructure behind Kalepa’s product used by commercial insurance underwriters
• Build and improve systems that ingest, process, and reason over large volumes of structured and unstructured data
• Work with documents, third-party sources, and model outputs
• Own systems end to end
• Collaborate with full-stack, backend, ML, and platform engineers
• Shape how production systems are designed, built, tested, and operated at scale
• Contribute to core systems at a fast-growing AI startup

Technical Recruiter

• Own full-cycle recruiting for Engineering roles, including intake, sourcing, interviews, offers, and closing
• Run intake with hiring managers to create clear scorecards and search strategies
• Source and build pipelines for passive, hard-to-find technical and AI/ML talent
• Bring market and compensation intelligence into hiring plans
• Lead offer negotiation and closing
• Build and improve interview processes, including kits, scorecards, and structured debriefs
• Act as a strategic partner to company leaders and hiring managers while ensuring hiring goals are met with top-tier candidates
• Strengthen Kalepa's employer brand in the engineering and AI community

Senior Manager, Revenue Operations

Senior Manager, Revenue Operations

Junior Backend Engineer

Full Stack Engineer

Backend Engineer

Lead Technical Recruiter