Staff Backend Engineer, Kalepa
Submission Processing
$230-290k
= Equity options
AI-driven commercial insurance provider
Open for applications
AI-driven commercial insurance provider
21-100 employees
Open for applications
$230-290k
= Equity options
21-100 employees
Company mission
To help commercial and specialty insurers bind with confidence.
Role
Who you are
- Have 8+ years of software engineering experience
- Embody hustle and grit, you're excellent at your craft and relentless in pursuing it
- Take full ownership of your work and drive projects to completion with minimal oversight
- Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop
- Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before
- Have strong fundamentals in system design, debugging, and problem-solving
- Have worked with LLMs in production and understand what it takes to deploy them at scale
- Have experience with AWS and serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments
- Know Python (our main stack), though we’re open to strong candidates from other OO backgrounds
- Are comfortable with relational databases, ideally PostgreSQL
- Are excited by problems others are struggling with
- Bonus: experience with document pipelines and processing large amounts of data
What the job involves
- We are looking for engineers who enjoy going deep on hard problems and owning end-to-end outcomes
- As a Staff engineer on the Submission Processing team, you’ll work at the intersection of AI and backend engineering and have major ownership and agency: design the systems, make architectural calls under ambiguity, and play a key role in setting the technical direction for the team
- You’ll be working on building and scaling LLM-based systems that process billions of highly unstructured data points on a daily basis, extract precise information, and surface insights that insurers rely on for high-stakes decisions
- This is a problem the industry hasn't solved effectively yet, and you'll be working on cutting-edge challenges that require creativity and ambition
- We're a small team where individual contributions have an outsized impact on both our technology and our business
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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