Snowflake12 дней назад
Solution Engineer - FS
Зарплата не указана
РЫНОК
16 250 ₽медиана по профессии
Data Scientist · 212 вакансий с указанной зарплатой
5 000половина предложений: 13 084–21 768120 000
Работодатель не указал зарплату — сравните с рынком сами.
Полная занятостьGB-London
Обязанности
- 01Present Snowflake technology and vision, focusing on the AI Data Cloud and its capabilities, to executives and technical contributors at prospects and customers.
- 02Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
- 03Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
- 04Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
- 05Work directly with the accounts sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business.
Требования
- 01Outstanding presenting skills and executive presence to engage technical, business and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- 02Broad range of experience within Data platforms, analytics, and cloud technologies, including deep knowledge of data warehousing, data lakes, and lake house architectures.
- 03Proven ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises.
- 04Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as LangChain, Hugging Face, or PyTorch, along with a solid understanding of how to work with and deploy Large Language Models (LLMs).
- 05Familiarity with core data concepts such as data modeling, data governance, and data engineering best practices.
- 06Hands-on expertise with Python and SQL.
- 07You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences and bridging the gap between audiences when needed.
- 08You must share our passion about driving the AI Data Cloud adoption, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done.