Databricks is a data and AI company that enables data teams to solve complex problems through its platform. As the Sr. Manager of Engineering Performance, you will lead efforts to evaluate product performance, set benchmarks, and collaborate with engineering teams to enhance scalability and efficiency.
Responsibilities:
- Technical Leadership: You will lead and guide the team to Identify performance limitations of the entire stack based on telemetry, customer signals, PoCs, and competitive benchmarks, that will result in the best performing system across the industry, when resolved
- Team Development: You will oversee sustained recruitment of top-tier talent, fostering a well-organized and synergistic team structure, and collaborating effectively with internal and external stakeholders
- Cross-Functional Collaboration: Work closely with product and infrastructure teams to align strategy, execution, and roadmap in alignment with organizational goals and priorities
Requirements:
- 5+ years experience in the performance analysis discipline
- Ability to identify performance issues, root cause problems, and be able to come up with potential solutions
- Ability to build strong working relationships with developers and field engineers to facilitate triaging and mitigation of performance problems
- At least 3 years of experience in managing top-tier engineering teams
- BS in Computer Science
- Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards
- Experience up-leveling teams via hiring top-notch talent and growing existing team members
- Masters or higher level of education