The Observability and Operations Data Platform group at the company is seeking a Sr. Manager to lead and grow a high-performing team focused on real-time analytics, anomaly detection, observability, and data insights
Requirements
- Strong technical skills in streaming engines and multiple database types (time-series, key-value, and RDBMS); Java expertise required, Python experience a plus
- Hands-on experience with AI productivity tools (e.g., Windsurf, Cursor, GitHub Copilot, ChatGPT) to improve efficiency and productivity
- Experience integrating AI into workflows, decision-making, or problem-solving—this may include AI-powered tools, workflow automation, analyzing AI-driven insights, or evaluating AI’s impact on the business or industry
- Proficiency in writing efficient, object-oriented, modular, and high-quality software, with knowledge of unit testing, profiling, and performance tuning
- Experience in the design and implementation of large, scalable environments; familiarity with Kubernetes-based applications is a plus
Responsibilities
- Leading and growing a high-performing team focused on real-time analytics, anomaly detection, observability, and data insights
- Defining and owning the team’s AI strategy, ensuring the integration of AI across observability and operational workflows
- Fostering a culture of AI-first development, enabling engineers to leverage AI-driven tools and practices in day-to-day work
- Working in an Agile, collaborative environment with forward-thinking developers and quality engineers to deliver reliable, high-quality software
- Partnering with Product, SRE, and AI/ML teams to align roadmaps and deliver innovative solutions
- Mentoring and developing engineers and managers, with a strong focus on AI adoption, best practices, and continuous improvement
Other
- 10+ years of related experience with a bachelor’s degree; 8+ years with a master’s degree; or equivalent experience with technologies in Observability, Data Lake, and Big Data domains
- 6+ years of team management experience, including proficiency in providing feedback and driving strategies, policies, and plans
- 2+ years of proven experience leading AI-driven teams and shaping AI adoption strategies
- Ability to thrive in a fast-paced environment with dynamic or ambiguous requirements, while maintaining focus on delivering high-quality outcomes
- Outstanding interpersonal and communication skills, both written and verbal
