Customer Success Engineer

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:
• • 🏥 Medical, Dental and Vision Insurance
  • 🌴 Unlimited PTO
  • 👶 Parental Leave (birthing & non-birthing) - 100% pay for 8 weeks
  • 💰 401(k) Retirement Savings Plan
  • 📈 Pre-IPO Stock Options
  • 🚌 Commuter Benefits (pre-tax + company sponsored)
  • 🧘‍♂️ Mental & Physical Wellness Stipend
  • 🍱 Catered Meals on in-office days
  • 🏢 HQ in Burlingame + hub in NYC + hub in Bangalore
  • 🤝 Build the company alongside the Founders

Galileo is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor.

Galileo is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.

Galileo is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for commission, equity, and company sponsored benefits/perks.

• The pay range for this role is dependent on location and experience:
• • $170,000 - $210,000 USD base salary per year.