Staff Product Manager - Technical

Навыки

• AI-агенты
• Data Governance
• Data Lake
• Распределённые системы
• Маркетинговая стратегия
• Python
• Роадмап

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

Задачи

• Identify and drive impactful product improvements in your domain of expertise
• Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)
• Shape and prioritize a meaningful product roadmap
• Support go-to-market efforts and guide product adoption
• For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform
• As a Technical Product Manager , you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences
• Depending on your background, you will focus on one of two critical product areas
• OLTP Databases
• You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents
• Data Governance
• You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization
• This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies)
• This role requires you to deeply understand both functional and non-functional requirements , such as performance, scalability, security, and compliance and how customers meet these requirements today
• You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience
• You will act as a bridge between technical field teams and product and engineering
• Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions
• You will also help ensure that product improvements are clearly communicated back to the field

Требования

• 5+ years of experience with a strong, hands-on technical background
• Strong empathy for customers across full spectrum of Data Platform users
• Deep domain expertise in one of the following
• Transactional databases (OLTP), cloud-native databases, or distributed systems
• Data governance, data catalogs, lineage, and access management
• Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance
• Strong Python and SQL skills
• Experience using AI-assisted development tools
• Experience with systems design and architecture
• Proven ability to work effectively across product, engineering, and technical field teams

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

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