Customer Success Engineer, Galileo
$180-210k
+ Pre-IPO Stock Options
2 days a week in office (Burlingame, CA)
AI observability and evaluation platform
Job no longer available
AI observability and evaluation platform
101-200 employees
Job no longer available
$180-210k
+ Pre-IPO Stock Options
2 days a week in office (Burlingame, CA)
101-200 employees
Company mission
To give AI teams a way to evaluate, iterate, monitor and protect AI applications at enterprise scale.
Role
Who you are
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience
- 3+ years of experience in customer success, solutions engineering, or technical consulting role, preferably within the AI/ML or software industry
- 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
- Strong understanding of GenAI application architectures including RAG systems, multi-agent workflows, and the challenges of building reliable AI applications
- Proficiency in Python or TypeScript, with ability to support customers in implementation, troubleshooting, and integration scenarios
- Excellent verbal and written communication skills, with ability to translate complex technical concepts for both technical and non-technical stakeholders
- Passionate about delivering exceptional customer experiences and driving long-term customer success and adoption
- Strong curiosity and initiative to continuously learn new technologies, stay ahead of GenAI trends, and proactively develop skills and expertise
- Ability to work collaboratively with cross-functional teams, including engineering, product, and customer success
Desirable
- 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
What the job involves
- 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
- 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
Our take
Generative AI evaluation company Galileo is here to help solve AI's measurement problem. To empower a future where all enterprises run on machine learning, it supplies AI teams with a way to evaluate, iterate, monitor and protect AI applications at enterprise scale.
The value of this offering is that is enables teams to build at speed while ensuring their apps are both tailored for purpose and secure. The product is powered by research-backed evaluation metrics, and is already used by hundreds of AI teams from startups to Fortune 50 enterprises.
Galileo has experienced rapid growth. For example, in 2024, it saw an over 800% boost to its revenue. It has also raised substantial funding that supports the scaling of its go-to-market strategy, expansion of product development efforts and a further investment in research.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2024
$45m
SERIES B
Nov 2022
$18m
SERIES A
Total funding: $68.1m
Company benefits
- Best-in-class coverage in Health / Dental / Vision for our team
- Wellness stipend for everyone on the team to take good care of themselves, even outside of work
- While we’re at work, our meals are taken care of, so we can get all the fuel we need to be at our best
- Investing in ourselves also includes investing in our retirement. We provide a 401-K plan to encourage saving some portion of our paychecks
- Take time off as needed to rest, refresh or rejuvenate
- We strongly believe in supporting our team as well as helping them support those near and dear to them
Company HQ
SoMa, San Francisco, CA
Leadership
Vikram Chatterji
(Co-Founder & CEO)Member of the Forbes Technology Council and Advisor at CMU Tech & Entrepreneurship. Was previously Product Management Lead of Google AI at Google as well as Head of Product for Consumer/Data Science at Premise Data.
Yash Sheth
(Co-Founder & CTO)Former Staff Software Engineer Google. Has also worked as a Graduate Teaching Assistant at UC Irvine, interned in Software Development at salesforce.com and was Associate Systems Engineer at Perfect Carboys.
Atindriyo Sanyal
(Co-Founder & CPO)An Advisor for various companies, they previously were part of Engineering Leadership at Uber AI. Was also Senior Engineering Lead at Apple and a Graduate Researcher at the Networks Research Laboratory at UCLA.
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