posting velocity //
Based on 72 events over 73 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
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Based on Trevo job data
Hiring mostly in Unspecified · Data Science · mostly at Mid level
Based on 69 jobs with a real publish stamp from the source — not detection time. 0 posted in the last week, 0 in the last month. Hours in Israel timezone.
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16
Total active openings across all sites
Δ 28-day
-3
Opens minus closes in the last 28 days
Δ 90-day
+16
Opens minus closes in the last 90 days
posting velocity //
Based on 72 events over 73 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
role mix //
The green layer is the current share of active openings by role. The grey dashed layer is the 90-day baseline — gaps between them show where the company is shifting its hiring mix.
seniority pyramid //
Distribution of active openings by seniority. The 'unknown' row groups jobs from sources that don't expose seniority.
geography //
Active openings by region. Click a row to see jobs in that area.
time on market //
Median
35.5 days
25th pct
8.3 days
75th pct
59.8 days
Based on 28 closed jobs and 16 still open (right-censored). Curve is Kaplan-Meier; band is the 95% CI.Low event count — the median will stabilise after ~22 more closures. Until then treat the values as indicative.
242
+4as of 2026-06-26
company intel · ai-generated
Updated 47d ago
Fetcherr was founded in 2019 by Roy Avidor, Shai Rozen, Uri Yerushalmi, and Robby Shriki. The company is headquartered in Netanya, Israel, and operates as a private entity. In June 2024, Fetcherr raised a $90 million Series B funding round led by Battery Ventures. The company develops AI-based pricing and inventory management software specifically for the aviation industry.
Fetcherr's primary products are the Generative Pricing Engine (GPE) and Generative Inventory Engine (GIE). The software transitions airlines away from legacy, fixed-fare-class revenue management systems toward continuous, algorithmic pricing. It utilizes high-frequency data and deep learning models—concepts adapted from algorithmic financial trading—to predict market demand and adjust flight prices in real time. The system is sold as an enterprise B2B platform directly to airline revenue management and commercial departments.
The company competes against legacy airline pricing software providers, most notably PROS (Pricing and Revenue Optimization Solutions), as well as broader travel technology incumbents like Sabre and Amadeus. Fetcherr targets the enterprise tier of the aviation market and has publicly announced implementation contracts with Virgin Atlantic, Azul Airlines, and Viva Aerobus. The company intends to use its recent $90 million funding to expand its products beyond passenger airlines into air cargo and other related sectors.
Fetcherr operates its primary research and development center from Netanya. The engineering organization in Israel focuses heavily on machine learning, data science, deep learning research, and backend development designed to support high-frequency pricing query loads. Key technical leaders and the founding team are Israeli, and the company actively recruits algorithmic developers, AI engineers, and MLOps specialists locally.
key people & leadership
8 key people, sourced from public records — with a per-row confidence score.
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Window: 180 days back. Don't read the mean — the long tail biases it. Median and percentiles are the honest summary.
Republish rate
17.1%
7 / 41 of closed jobs reposted within 60 days
news feed
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hiring signal · from our data
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16 open roles in Israel · +29 worldwide
Live openings we track — Israel first, plus worldwide when we have them.
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