Customer Success Engineers are technical points of contact for JetBrains customers, ensuring products meet enterprise users’ needs and driving adoption and expansion.
Locations (2)
Marlton, New Jersey, United States
United States
Compensation
$100,000—$200,000 USD
Responsibilities
Work closely with JetBrains Account Executives
Help customers adopt JetBrains products and services
Manage technical relationships for a portfolio of accounts
Develop and evaluate machine‑learning models for borrower repayment behavior
Apply causal inference and experimentation to measure intervention impact
Translate model predictions into decision algorithms
Partner with Product, Engineering, and Operations on payment experiences and collections strategy
Identify machine‑learning opportunities in servicing areas
Requirements
Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field
Lead GenAI Transformation Programs within Google Cloud Business Platform, driving strategy, technical execution, and operational governance of AI initiatives.
The Ads Safety team builds core infrastructure, developer tooling, and automated safety guardrails for the ML/LLM classifier's lifecycle to ensure Google Ads products and networks are safe and compliant.
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Requirements
Bachelor’s degree or equivalent practical experience
Master's degree or PhD in Computer Science or a related technical field
Lead the design, integration, and deployment of robotics solutions for data center logistics and material handling.
Responsibilities
Partner with infrastructure and logistics teams to understand operational requirements and identify opportunities for robotics and automation to improve efficiency and safety
Translate customer and operational needs into actionable product requirements and technical specifications
Make tradeoffs between software and hardware solutions, and drive build-versus-buy decisions
Collect, analyze, and interpret data center operational workflows using advanced tools to drive automation requirements and quantify risks and opportunities
Lead the design and implementation of robotic solutions for material handling (inventory movement, equipment transport, automated storage/retrieval) with internal and external partners
Requirements
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
B.S. or M.S. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, Robotics, or equivalent experience
Lead failure analysis and hardware resiliency for Azure cloud infrastructure, driving detection, prediction, and repair of hardware failures across millions of servers.
Compensation
Hardware Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Lead failure analysis across server components
Define signals, thresholds, diagnostics and repair recipes
Improve isolation accuracy for repairs
Partner with software engineers and data scientists on detection rules
Leverage AI-powered tools and data-driven insights
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