Product specialist - gen ai (sr.specialist solutions architect)

Werkgever:
Databricks
Regio:
Amsterdam
 
Functieomschrijving

FEQ426R513

Product Specialist - Gen AI


At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. 


As a Product Specialist - Gen AI (Sr. Specialist Solutions Architect) you will be a deep technical expert in Gen AI and Machine Learning and in how customers can be successful with these use-cases in the Lakehouse paradigm. You will work closely with both Product Management and the EMEA Field Engineering and Sales teams to act as the technical bridge between these critical organisations to help make the Data Intelligence Platform vision a reality for our customers. You will provide thought leadership on best practices around how to build and deploy compound AI systems with Databricks. You will work closely with the Databricks Product Management team to drive adoption of Gen AI features and ensure a consistent product vision for the EMEA technical field. You will work closely with Sales and FE leaders to help drive adoption of Gen AI by identifying target accounts and messaging. You will support enablement activities for the EMEA technical field and sales teams and drive customer success through direct engagement and scale your expertise across EMEA.


You will report directly to the Sr. Director Product Specialists Databricks Field Engineering and can be located in London. Databricks Field Engineering works with our current and future customers to grow adoption, win technical validations and advise customers on Gen AI best practices. The Product Specialist - Gen AI owns the enablement and escalations within the EMEA Field Engineering team around relevant features.


The impact you will have:

  • Deliver thought leadership in Gen AI best practices for the Databricks Data Intelligence Platform in the form of blogs, webinars, how to guides and technical know-how to the EMEA technical community and beyond.

  • Working with sales and FE leaders drive adoption of Gen AI across EMEA

  • Provide a strong, informed, and data-driven perspective in conversations with the Product and Engineering teams to influence our product strategy and priorities in how customers can and should bring Databricks into their Data strategies. 

  • Provide guidance and oversight for large-scale enterprise Gen AI competitive scenarios, serving as a trusted technical advisor to senior tech leads and executives

  • Act as the level three point of escalation on the toughest technical challenges in the field that customers face to drive customer success. 

  • Build and manage an SME group in EMEA field-engineering around Gen AI

  • Provide key messaging and approaches to ensure the EMEA technical field is prepared for competitive conversations

    • What we look for:

  • Experience in designing and delivering cloud-based Gen AI and Machine Learning Solutions in a client or customer environment

  • Ability to advise customers in Gen AI architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue

  • Cross-Cloud Expertise: Help customers build a multi-cloud analytics ecosystem with Databricks at the centre and provide solutions for customers looking for disaster recovery, fault tolerance and backup

  • Certification and/or demonstrated competence in a public cloud environment

  • Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL

  • Excellent communication skills; both written and verbal

  • Experience in pre-sales selling highly desired