You'll partner with product, engineering, and business leadership to tie model outputs directly to customer value, and you'll be the go-to resource on applied AI for engineers and non-engineers alike. This is a problem the industry hasn't solved effectively yet. We're a small team where individual contributions have an outsized impact on both our technology and our business.
This team owns Kalepa’s proprietary risk representation layer and intelligent model-driven insights to drive user actions. It converts Kalepa’s past submissions and syncs into a durable data moat.
Ownership areas: risk representation, winnability model, future models such as loss prediction, portfolio optimizers, and more.
We are primarily a remote company with employees across the US, Canada, and Europe. Our HQ is in New York city.
We differentiate our North America salary ranges using two geographical zones: Zone 1 (New York and San Francisco) - $270,000 to $345,000* Zone 2 (all other locations in the US and Canada) - $243,000 to $310,500*
*The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.
Insurance is a $7T global industry built on professional labor: underwriting, claims, pricing, operations, and distribution. Kalepa is building AI that can perform that work.
We create professional-grade AI systems for insurers: software that can read, reason, decide, and act inside real workflows and operate over long-time horizons. Kalepa begins by augmenting professionals with the tools to succeed at their jobs. That earns us the right to learn from real decisions, capture decision traces, and automate what can be automated successfully over time.
Our products are already in production with leading insurers, driving measurable outcomes and expanding across functions. The opportunity is far broader than any single workflow: to build the AI operating system for decision-making across insurance. For people who want to work on AI that matters, in a sector where correctness, trust, and real-world impact count, Kalepa is just getting started.
Kalepa is backed by leading investors such as IA Ventures and Inspired Capital, and our team brings experience from Meta, Palantir, Block, Affirm, Google, Amazon, McKinsey, Mastercard, and Uber.
Our culture is shaped by everyday decisions. Our values help us make them thoughtfully and consistently, especially when tradeoffs are difficult. We learn from mistakes so our good decisions outweigh our bad ones and their benefits compound over time.
In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena | 2026 - Tbilisi).
Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere.
KastleSan Francisco
$250K–$350K / yr
Posted Nov 22, 2025
KastleSan Francisco
$250K–$350K / yr
Posted Aug 27, 2026
checked 2 days agoClaimSortedLondon, GB
$90K–$165K / yr
Posted Aug 30, 2026
checked 2 days agoKastleSan Francisco
$250K–$320K / yr
Posted Sep 9, 2025
KastleSan Francisco
$250K–$320K / yr
Posted Aug 27, 2026
checked 2 days agoBjakUnited States
Pay not posted
Posted Sep 1, 2026
Source: the Kalepa Greenhouse job board. We last checked this job 7 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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This base pay is above the median for staff ML and AI engineering jobs that are remote in the US.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.