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- Aufgaben: Lead the Databricks Runtime team in developing impactful data processing features.
- Arbeitgeber: Join DataBricks, a leader in data intelligence and cloud infrastructure.
- Mitarbeitervorteile: Enjoy private medical insurance, equity awards, fitness reimbursement, and more!
- Warum dieser Job: Make a real impact on how customers manage petabytes of data daily.
- Gewünschte Qualifikationen: 6+ years in Product Management with a degree in Computer Science or similar.
- Andere Informationen: Work in Berlin with a focus on modern cloud solutions and data governance.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
You will be the Product Manager for the Databricks Runtime team in Berlin. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data.
This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.
The impact you will have:
- Own the end-to-end product management process
- Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product
- Drive launches with product marketing through blog posts, release notes, webinars
- Define and measure OKRs for your products
- Drive the prioritization and development of features, measurably making it simpler and more cost effective for customers to govern and process petabytes of data.
What we look for:
- 6+ yrs of experience
- Bachelors degree in Computer Science or similar field
- Experience in Product Management (inbound, outbound, cross-functional processes)
- Technical skills
- Solid understanding of cloud infrastructure (AWS, Azure, GCP)
- Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)
Benefits:
- Private medical insurance
- Life, accident & disability insurance
- Pension Plan
- Vision Reimbursement
- Equity awards
- Enhanced Parental Leaves
- Fitness reimbursement
- Annual career development fund
- Home office & work headphones reimbursement
- Business travel accident insurance
- Mental wellness resources
- Employee referral bonus
Sr. Product Manager Arbeitgeber: Databricks
Kontaktperson:
Databricks HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Sr. Product Manager
✨Tip Number 1
Familiarize yourself with the Databricks platform and its key components. Understanding how query processing, storage, and data governance work together will give you a significant edge in discussions during the interview.
✨Tip Number 2
Showcase your experience with cloud infrastructure by preparing examples of past projects where you've successfully implemented solutions on AWS, Azure, or GCP. This will demonstrate your technical skills and relevance to the role.
✨Tip Number 3
Be ready to discuss how you've gathered customer requirements in previous roles. Highlight specific methods you used to engage customers and translate their needs into actionable product features.
✨Tip Number 4
Prepare to talk about your experience with defining and measuring OKRs. Having concrete examples of how you've driven product success through metrics will resonate well with the hiring team.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Sr. Product Manager
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Sr. Product Manager at DataBricks. Familiarize yourself with their data intelligence platform and how it integrates query processing, storage, and data governance.
Tailor Your CV: Highlight your relevant experience in product management, especially any work related to cloud infrastructure and data governance. Use specific examples that demonstrate your ability to gather customer requirements and drive product launches.
Craft a Compelling Cover Letter: In your cover letter, express your passion for product management and your understanding of the challenges customers face when processing large volumes of data. Mention how your skills align with the job requirements and how you can contribute to the team.
Showcase Technical Skills: Make sure to emphasize your technical skills, particularly your knowledge of cloud platforms like AWS, Azure, or GCP, as well as your data analysis capabilities. Providing concrete examples of past projects can strengthen your application.
Wie du dich auf ein Vorstellungsgespräch bei Databricks vorbereitest
✨Understand the Product Landscape
Make sure you have a solid grasp of Databricks' products and how they fit into the broader data intelligence ecosystem. Familiarize yourself with their cloud infrastructure offerings and data governance solutions, as this will show your genuine interest and preparedness.
✨Showcase Your Technical Skills
Be ready to discuss your technical background, especially in cloud platforms like AWS, Azure, or GCP. Highlight any experience you have with SQL and data analysis, as these skills are crucial for the role.
✨Prepare for Customer Engagement Scenarios
Since gathering customer requirements is key, think of examples where you've successfully engaged with customers to understand their needs. Be prepared to discuss how you translated those needs into actionable product features.
✨Discuss Your Product Management Process
Be ready to outline your approach to product management from vision to implementation. Discuss how you prioritize features, measure success through OKRs, and collaborate with engineering and marketing teams to ensure a successful launch.