Define and execute the technical roadmap for generative AI within cloud and on-prem data and analytics platform, aligning with the overall product strategy. Identify key opportunities, prioritize projects, and manage resources effectively to maximize impact across the portfolio.
Collaborate closely with Product Management, UX Design, and Research teams as well as other CoreOps teams to ensure alignment between technical capabilities and user needs, delivering seamless and intuitive user experiences across various data and analytics products.
Stay at the forefront of advancements in generative AI, LLMs, and related technologies.
Provide technical guidance, conduct code reviews, and support professional development to build a high-performing team.
Lead the technical design and direction of generative AI features within CoreOps product portfolio and customer data and analytics ecosystem, architecting scalable and robust solutions leveraging LLMs for critical tasks.
Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
15 years of professional experience in software engineering.
10 years of experience working in data and analytics or Business Intelligence.
Experience building and deploying large-scale systems in a cloud environment.
Experience bringing tech products to market at a enterprise scale.
Additional Information
PhD in Computer Science or similar field.
Experience working with executive level internal and external clients/partners, acting as a representative of the company.
Experience publishing in AI/ML conferences, demonstrating a deep understanding of the field and a commitment to advancing the state of the art.
Ability to work cross-functionally, partnering with groups (e.g., Product Management, Product Marketing, UX, and UI), brokering trade offs with stakeholders and understanding their needs.
Excellent narrative and storytelling abilities, communication skills, and presentation skills
