About Galileo
At Galileo, our mission is to make AI safe and available to all. Our roots lie in leading the creation of some of the world’s most widespread AI applications from Apple’s Siri to Google Speech. We believe that AI builders need well crafted tools to create trustworthy and high quality generative AI applications that will change how we work and live. Galileo addresses the challenges of experimenting with, evaluating, and observing LLM and GenAI applications, streamlining the development process for developers and teams.
Role Description
As a Senior Machine Learning Solutions Engineer at Galileo, you will work on a groundbreaking product that is poised to revolutionize the way companies approach evaluating their GenAI applications. You will play a critical role in the sales process by providing technical expertise, conducting product demonstrations, and developing solutions that meet customer needs. This role involves working closely with the sales team to understand customer requirements and articulate the value of our Gen AI software platform.
Main Responsibilities
- Technical Expertise: Serve as the technical expert in our GenAI Evaluation and Observability software, understanding its features, capabilities, and limitations.
- Product Demonstrations: Conduct compelling product demonstrations that address customer needs and showcase the value of our solutions.
- Solution Development: Collaborate with customers to develop tailored solutions that meet their specific requirements, leveraging our software's capabilities.
- Customer Engagement: Engage with potential customers to understand their technical and business challenges, and provide solutions that address their pain points.
- RFP/RFI Responses: Assist the sales team in responding to Requests for Proposals (RFPs) and Requests for Information (RFIs) by providing detailed technical information.
- Proof of Concept (PoC): Manage and execute PoC projects, ensuring that customers can effectively evaluate our software's capabilities in their environment.
- Technical Support: Provide technical support during the sales process, addressing customer inquiries and troubleshooting issues as needed.
- Feedback Loop: Act as a liaison between the customer and product development teams, providing valuable feedback to drive product enhancements.
- Sales Enablement: Support the sales team with technical training, resources, and documentation to enhance their product knowledge and selling capabilities.
Minimum Qualifications
- Experience: 3+ years of experience in a presales, solutions engineering, or similar ML or Data Science technical role, preferably within the software or technology industry.
- Technical Aptitude: Strong understanding of AI, machine learning, and software applications, with the ability to quickly learn new technologies.
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
- Problem-Solving: Strong analytical and problem-solving skills, with a proactive approach to addressing customer challenges.
- PoC Management: Proven track record of managing Proof of Concepts (PoCs) to a successful close, ensuring customer satisfaction and alignment with their objectives.
- Customer-Centric: Passionate about delivering exceptional customer experiences and driving customer success.
- Team Player: Ability to work collaboratively with cross-functional teams, including sales, product, and engineering.
- Education: Bachelor's degree in a relevant field (e.g., Computer Science, Engineering, Information Technology) or equivalent work experience.
- Travel: Willingness to travel as needed to meet with customers and support sales activities.
Benefits Extracted with AI
- Vision insurance
- 401(k)
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