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- Tasks: Become a technical expert in Gen AI and Machine Learning, helping customers succeed with Mosaic AI.
- Company: Join Databricks, a leader in data intelligence, empowering teams to solve tough problems with data.
- Benefits: Enjoy a dynamic work environment in London with opportunities for remote work and professional growth.
- Why this job: Make an impact by driving AI adoption and influencing product strategy while collaborating with top professionals.
- Qualifications: Experience in cloud-based Data Warehousing, cross-cloud expertise, and strong communication skills are essential.
- Other info: Be part of a team that values thought leadership and innovation in the tech industry.
The predicted salary is between 48000 - 84000 £ per year.
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, improving how organizations leverage data and insights for better, faster decisions. Customers rely on Databricks for a full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.
You will be a deep technical expert in Gen AI and Machine Learning, focusing on how customers can succeed with these use-cases within the Lakehouse paradigm. Your role involves working closely with Product Management, Field Engineering, and Sales teams across EMEA to facilitate the adoption of Mosaic AI features, provide thought leadership, and support customer success. You will be based in London and report directly to the Sr. Director of Product Specialists in Field Engineering.
The impact you will have:
- Deliver thought leadership through blogs, webinars, guides, and technical insights to the EMEA technical community and beyond.
- Drive adoption of Mosaic AI across EMEA by collaborating with sales and field engineering leaders.
- Influence product strategy by providing data-driven insights and feedback from customer engagements.
- Support enterprise-level Mosaic AI deployments and serve as a trusted advisor in competitive scenarios.
- Act as the third-level escalation point for complex technical challenges faced by customers.
- Build and lead an SME group within EMEA Field Engineering focused on Mosaic AI.
- Develop key messaging and strategies to prepare the technical field for competitive discussions.
What we look for:
- Experience designing and delivering cloud-based Data Warehousing solutions in client environments.
- Ability to advise on Data Warehousing architecture, preparing stakeholders for internal and customer discussions, and anticipating blockers.
- Cross-Cloud expertise, especially in building multi-cloud analytics ecosystems with Databricks, including disaster recovery and fault tolerance solutions.
- Certifications and demonstrated competence in the Azure ecosystem.
- Hands-on experience with Lakehouse architecture, Apache Spark, Python, and SQL.
- Excellent written and verbal communication skills.
- Experience in pre-sales is highly desired.
Product Specialist - Mosaic AI employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Specialist - Mosaic AI
✨Tip Number 1
Familiarise yourself with the Lakehouse architecture and how it integrates with Gen AI and Machine Learning. Understanding these concepts will allow you to engage in meaningful conversations with the team and demonstrate your expertise during interviews.
✨Tip Number 2
Network with professionals in the data engineering and AI fields, especially those who have experience with Databricks. Attend relevant webinars or meetups to build connections and gain insights that could be beneficial for your application.
✨Tip Number 3
Stay updated on the latest trends and developments in cloud-based Data Warehousing solutions. Being knowledgeable about current technologies and best practices will help you stand out as a candidate who is proactive and informed.
✨Tip Number 4
Prepare to discuss specific examples of how you've successfully implemented data solutions in previous roles. Highlighting your hands-on experience with tools like Apache Spark, Python, and SQL will showcase your technical capabilities effectively.
We think you need these skills to ace Product Specialist - Mosaic AI
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Product Specialist - Mosaic AI position. Familiarise yourself with Databricks' products, especially in Gen AI and Machine Learning, to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with cloud-based Data Warehousing solutions, Lakehouse architecture, and any relevant certifications. Be specific about your hands-on experience with tools like Apache Spark, Python, and SQL.
Showcase Communication Skills: Since excellent written and verbal communication skills are crucial for this role, ensure your application reflects your ability to convey complex technical concepts clearly. Consider including examples of past experiences where you've successfully communicated with stakeholders or led discussions.
Tailor Your Application: Customise your application materials to reflect how your skills and experiences align with the job description. Use keywords from the job posting, such as 'thought leadership', 'customer success', and 'cross-cloud expertise', to demonstrate your fit for the role.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Expertise
As a Product Specialist in Mosaic AI, it's crucial to demonstrate your deep understanding of Gen AI and Machine Learning. Be prepared to discuss specific projects or experiences where you've successfully implemented these technologies, especially within the Lakehouse paradigm.
✨Understand the Company’s Products
Familiarise yourself with Databricks' Data Intelligence Platform and its features. Highlight how your skills can help drive the adoption of Mosaic AI and improve customer success. This shows that you are not just interested in the role but also in the company's mission.
✨Prepare for Technical Challenges
Expect to face questions about complex technical scenarios. Brush up on your knowledge of cloud-based Data Warehousing solutions, multi-cloud analytics ecosystems, and disaster recovery strategies. Being able to articulate your problem-solving approach will impress the interviewers.
✨Communicate Effectively
Since excellent communication skills are essential for this role, practice articulating your thoughts clearly and concisely. Prepare to explain technical concepts in a way that is accessible to non-technical stakeholders, as you'll need to prepare them for discussions around architecture and potential blockers.
