Fetcherr

Fetcherr helps airlines increase revenue by applying AI to pricing and market forecasting in real time. Their core product, the Generative Pricing Engine (GPE), uses the Large Market Model (LMM) to simulate market dynamics and forecast demand, enabling dynamic pricing and inventory adjustments across the revenue management pipeline. The platform combines generative modeling, demand forecasting, and real-time market simulation to recommend price and inventory actions for carriers. Fetcherr is offered as an enterprise AI solution for airlines and integrates into airline revenue management and distribution workflows. The company targets global carriers and has been deployed with major airlines to drive measurable revenue uplift and operational improvements.

saasfetcherr.io

Fetcherr

saasfetcherr.io

HQNetanya

Team Size208

Open Jobs23

Total Funding$157M

Latest Fundraise6 months ago

Join the Team

DevOps Team Leader

HybridMiami, FL, US

Hybrid • Miami, FL, US

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

DevOps Engineer

Full-timeLondon, GB

Full-time • London, GB

AI Researcher

Full-timeNew York, US

Full-time • New York, US

DevOps Engineer

Full-timeRotterdam, NL

Full-time • Rotterdam, NL

Frontend Developer

ContractRotterdam, NL

Contract • Rotterdam, NL

Technical Writer

Part-timeLondon, GB

Part-time • London, GB

Backend Developer

InternshipHaifa

Internship • Haifa

Fetcherr experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We are looking for a DevOps Team Leader to guide our growing DevOps team in building and maintaining highly available, scalable, and automated infrastructure. You’ll combine hands-on technical expertise with strong leadership skills to mentor engineers, define best practices, and ensure smooth collaboration across development, data, and product teams.

What You’ll Do:

Lead, mentor, and grow a team of DevOps engineers, fostering a culture of ownership, excellence, and continuous improvement.
Architect, maintain, and optimize our cloud infrastructure on Google Cloud Platform (GCP ) for scalability, performance, and security.
Oversee Kubernetes and Terraform environments in production, ensuring high availability and efficient deployments.
Drive automation in CI/CD pipelines, release processes, and infrastructure management.
Implement and maintain robust monitoring, alerting, and logging systems (Prometheus, EFK, GCP Monitoring) to ensure proactive incident detection and resolution.
Collaborate with development, data, and product teams to design and deliver infrastructure that meets evolving product and customer needs.
Establish infrastructure as code (IaC) standards and ensure consistent adoption across the team.
Manage and improve internal tooling for infrastructure, deployments, and developer productivity.
Stay up to date with emerging technologies and evaluate their potential impact on our platform.

You’ll be a great fit if you have:

6+ years in DevOps, Site Reliability Engineering, or Software Configuration Management roles.
2+ years in a team leadership or manageme nt position, with proven ability to mentor and guide engineers

Nice to Have:

Experience with ArgoCD or Kubernetes operator development.
Exposure to Big Data or ML Ops environments.
Familiarity with Airflow, Kubeflow, or MLFlow.
DBA experience and strong SQL skills.
Experience in Agile/Scrum environments.