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As a Private Cloud AI PCAI Customer Engineer, you will be a crucial member of our technical and customer-facing team, supporting the HPE Private Cloud AI PCAI product. Assist customers in the initial adoption of the HPE PCAI Private Cloud AI product.
Job Responsibility:
Customer Onboarding: Assist customers in the initial adoption of the HPE PCAI Private Cloud AI product.
Project manage the customer and use case
Provide hands-on support and guidance during the first three months post-purchase.
Conduct informal product training sessions to help customers understand and utilize the product effectively.
Customer Engagement: Schedule and conduct regular cadence calls with customers to track progress, address concerns, and provide updates.
Serve as the primary point of contact for customers during the onboarding phase, ensuring a smooth and positive experience.
Use Case Adoption: Guide customers through the initial adoption of their first use case, providing technical expertise and best practices.
Work closely with customers to understand their specific requirements and tailor support accordingly.
Collaboration and Coordination: Collaborate with internal teams, including Sales, Product Management, and Technical Support, to ensure customer success.
Coordinate with multiple stakeholders to address customer needs, resolve issues, and ensure timely delivery of solutions.
Customer Success: Monitor customer progress and provide proactive support to ensure early value realization from the product.
Identify potential challenges and work with customers to mitigate risks and ensure a successful onboarding experience.
Track customer satisfaction and feedback, and work with internal teams to continuously improve the onboarding process.
Requirements:
Python (hands on with data science libraries preferred)
Big Data (structured vs unstructured) and storage solutions (data warehouses, lakes, distributed file systems)
Relational Database Management System (RDBMS)
SQL and NoSQL
NLP (and its limitations)
LLMOps
Vector DBs
Enterprise AI solutions and techniques (Virtual assistants, Q&A chatbots, summarization, RAG, etc)
Project Management: Demonstrated expertise in managing multiple complex projects simultaneously, with a proven track record of prioritizing tasks and meeting deadlines efficiently and effectively.
Customer Service: Strong customer service orientation, with a focus on delivering exceptional support.
Technical Troubleshooting and Problem Resolution: Strong analytical and problem-solving skills to quickly identify issues, and work with support team to resolve.
Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts clearly.
Collaboration: Strong teamwork skills and the ability to work collaboratively with cross-functional teams.
Empathy: Ability to understand and empathize with customer challenges and provide supportive solutions.
Proactive Approach: Initiative to anticipate customer needs and address potential issues before they arise.
Attention to Detail: Keen attention to detail to ensure accurate and thorough support and documentation.
Nice to have:
Cloud Architectures
Cross Domain Knowledge
Design Thinking
Development Fundamentals
DevOps
Distributed Computing
Microservices Fluency
Full Stack Development
Security-First Mindset
Solutions Design
Testing & Automation
User Experience (UX)
What we offer:
Health & Wellbeing: comprehensive suite of benefits that supports physical, financial and emotional wellbeing.
Personal & Professional Development: specific programs catered to helping you reach any career goals.
Unconditional Inclusion: unconditionally inclusive in the way we work and celebrate individual uniqueness.