Avatar for Kalepa

AI-powered decision support for commercial underwriters

Tech Lead

$120k – $180k • 0.5% – 1.5%
Apply now
Kalepa is looking for a hands-on Tech Lead to supercharge the development of our world-class AI-powered decision support software for commercial underwriters.

The Tech Lead will be working with a small, distributed team of outstanding mission-driven machine learning, backend, and full-stack engineers solving interesting and challenging problems at the intersection of distributed systems, scalable data engineering, cutting-edge NLP, computer vision, and other neural network models, and a fast-moving, product-oriented culture.

Kalepa is a New York based, VC backed, startup building software to transform and disrupt commercial insurance. Nearly one trillion ($1T) dollars are spent globally each year on commercial insurance across small, medium, and large enterprises. However, the process for estimating the risk associated with a given business across various perils (e.g. fire, injury, malpractice) is still reliant on inefficient and inaccurate manual forms or outdated and sparse databases. This information asymmetry leads to a broken set of economic incentives and a poor experience for both businesses and insurers alike.

Combining cutting edge data science and industry expertise, Kalepa delivers decision-support software to commercial insurance underwriters. Kalepa's AI-powered Copilot enables underwriters to focus their time on the highest ROI opportunities and rapidly evaluate, select, and price risk. By analyzing billions of points of structured and unstructured data, Kalepa's Copilot augments underwriters with insights and recommendations on every risk. Copilot allows each underwriter to perform at the level of the most experienced and effective underwriters and at top efficiency.

Kalepa is led by a strong team with experiences from Facebook, APT (acquired by Mastercard for $600M in 2015), the Israel Defense Forces, MIT, Berkeley, and UPenn. Kalepa is backed by IA Ventures.

About you:
● You are a proactive and collaborative problem solver with a “can do” attitude
● You enjoy understanding customer needs and translating them into specifications or code
● You have previous hands-on technical leadership experience, are always thinking many moves ahead, and love the challenge of efficiently bringing complex technical projects to completion
● You always look to strike the right balance between speed and sound technical decisions and practices. You know how and when to accrue and pay tech debt
● You thrive in fast-moving product and team environments
● You are excited about using a wide range of technologies, ultimately focused on finding the right tool for the job
● You value open, frank, and respectful communication
● You have previously worked with remote or partially distributed teams
● You have hands-on experience with data engineering and distributed systems
● You have in-depth knowledge of Python, SQL and no-SQL databases, and hands-on experience with Python server-side frameworks
● You have experience with building and productionalizing machine learning models. NLP and/or computer vision experience a plus
● You have experience with AWS infrastructure

What you’ll get
● Work with a global, ambitious, smart, and fun team to transform a $1T global industry
● Ground floor opportunity – opportunity to build the foundations for the product, team, and culture alongside the founding team
● Wide-ranging intellectual challenges working with large and diverse data sets, cutting edge machine learning models, as well as a modern technology stack
● Competitive compensation package with a significant equity component
● Full benefits package, including excellent medical, dental, and vision insurance
● Unlimited vacation and flexible remote work policies
● Continuing education credits and a healthy living / gym monthly stipend


[IMPORTANT NOTE]: This is not a remote position. Candidates would need to be based in or relocate to New York City.

More jobs at Kalepa

View all jobs

Software Engineer

Apply now

Data Scientist / Machine Learning Engineer

Apply now