Senior Solution Engineer (SaaS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Solution Engineer (SaaS): Solving complex data problems for customers and helping them choose as their solution with an accent on understanding customer needs and strategizing the best support during evaluation. Focus on translating features into solutions, presenting technology to executives, and collaborating with various teams to improve products and marketing.
Location: GB-London
Company
empowers enterprises to achieve their full potential through impact, innovation, and collaboration.
What you will do
- Present ’s technology and vision to executives and technical contributors.
- Work hands-on with prospects and customers to demonstrate the value of technology.
- Create and develop technical champions in accounts to drive deals and achieve technical wins.
- Maintain a deep understanding of competitive and complementary technologies to position effectively.
- Collaborate with Product Management, Engineering, and Marketing to continuously improve ’s products and marketing.
- Proactively contribute and help co-develop Account & territory plans and execute while engaging with the broader internal/external ecosystem.
Requirements
- Solution engineering/solution architect experience in a SaaS environment or relevant industry experience (analytics, data science, data engineering etc).
- Outstanding presentation skills to both technical and executive audiences.
- Understanding of and experience with data architecture, data analytics, and cloud technology.
- Hands-on experience with SQL.
- Ability to solve customer-specific business problems and apply ’s solutions.
- Customer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences both written and verbal.
Nice to have
- Hands-on experience with Python.
- Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.).
- Experience with AI, data science, and machine learning technologies.
Culture & Benefits
- Value the broad range of experience teams bring to the table.
- Encourage challenging ordinary thinking and pushing the pace of innovation.
- Offer opportunities to build a future for oneself and .
- Emphasize learning, open feedback, and making customers and each other successful.
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