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Galileo

Galileo

via Rippling

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Customer Success Engineer

Anywhere
full-time
Posted 7/25/2025
Direct Apply
Key Skills:
Customer Success
Technical Consulting
GenAI Applications
LLM Experience
Python
TypeScript
Communication
Problem Solving
Cross-Functional Collaboration
Training
Customer Relationship Management
Technical Troubleshooting
AI-Driven Innovation
Self-Driven Learning
Team Player

Compensation

Salary Range

$Not specified

Responsibilities

The Customer Success Engineer will guide customers through onboarding and implementation, ensuring smooth integration with their GenAI workflows. They will also provide technical troubleshooting and support, while driving innovation in customer success processes.

Requirements

Candidates should have 3+ years of experience in customer success or technical consulting, with hands-on experience in building GenAI applications. Strong programming skills in Python or TypeScript and excellent communication abilities are essential.

Full Description

Role Description At Galileo, our mission is to help teams build, ship and scale reliable and trustworthy AI applications. We are seeking a technically adept Customer Success Engineer with hands-on experience building GenAI applications and working with LLMs. The ideal candidate will play a critical role in the post-sales customer journey by providing technical expertise, guiding implementations, and ensuring customers maximize value from our GenAI evaluation and observability platform. This role requires a strong balance of technical consulting and customer success expertise. Main Responsibilities As a Customer Success Engineer at Galileo, you will play a foundational role in designing, building, and scaling our Customer Success organization and playbook. Onboarding & Implementation: Guide customers through initial setup and platform adoption, ensuring smooth integration with their existing GenAI workflows and infrastructure. Solution Customization: Work with customers to tailor solutions to their specific needs, leveraging our platform's capabilities for their unique GenAI evaluation and monitoring requirements. Go-Live Support: Provide hands-on technical assistance as customers transition into production, ensuring seamless deployment of evaluation and observability workflows. Customer Relationship Management: Serve as the primary post-sales technical point of contact, building strong relationships with customer engineering teams and technical champions. Technical Troubleshooting: Diagnose and resolve complex technical issues related to GenAI applications, proactively identifying areas for improvement and optimization. AI-Driven Process Innovation: Drive innovation in customer success processes by identifying and implementing AI-driven capabilities to improve efficiency and customer outcomes. Cross-Functional Collaboration: Work closely with engineering, product, and support teams to address customer needs and enhance the platform based on real-world usage patterns. Customer Advocacy: Act as the voice of the customer, gathering feedback and providing technically articulated insights to inform product enhancements. Training & Enablement: Conduct technical training sessions and develop resources to empower customers to maximize the platform's value for their GenAI applications. Minimum Qualifications We're looking for an exceptional Customer Success Engineer, interested in solving complex problems at the intersection of GenAI applications and customer success. Experience: 3+ years of experience in customer success, solutions engineering, or technical consulting role, preferably within the AI/ML or software industry. AI Application Experience: Hands-on experience building, deploying, or working with LLM-based applications and agentic workflows using frameworks like LangChain, LangGraph, OpenAI Agents SDK, CrewAI or similar. Technical Aptitude: Strong understanding of GenAI application architectures including RAG systems, multi-agent workflows, and the challenges of building reliable AI applications. Programming Skills: Proficiency in Python or TypeScript, with ability to support customers in implementation, troubleshooting, and integration scenarios. Communication Skills: Excellent verbal and written communication skills, with ability to translate complex technical concepts for both technical and non-technical stakeholders. Customer-Centric: Passionate about delivering exceptional customer experiences and driving long-term customer success and adoption. Self-Driven Learner: Strong curiosity and initiative to continuously learn new technologies, stay ahead of GenAI trends, and proactively develop skills and expertise. Team Player: Ability to work collaboratively with cross-functional teams, including engineering, product, and customer success. Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. Preferred Qualifications Previously a ML Engineer / AI developer who loved working with customers prior to making the transition to a Customer Success role Experience with AI frameworks and libraries like LangChain, Pandas, and OpenAI APIs Strong track record of helping customers onboard onto complex technical platforms Experience with GenAI evaluation, monitoring, or observability challenges and solutions Biasing towards thoughtful action with minimal direction Why Galileo Join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally We obsess over our team’s culture driven by inclusivity, empathy and curiosity We invest in our team’s development and happiness because our employees are the keys to our success and ensuring happy customers – towards that end, we offer: Unlimited PTO 🌊 Parental leave for birthing or non-birthing parents – 100% pay for 8 weeks 🚼 Employee Stock Participation Plan πŸ“ˆ Commuter Benefits πŸš– Mental and Physical Wellness 🧘 Company Paid Lunches 🌯 Headquarters Office in San Francisco πŸŒ‰ and a hub in New York πŸŒ‡ *Build the company with the Founders* πŸ§‘β€πŸ’»

This job posting was last updated on 7/26/2025

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