Sr. 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 .
• At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team

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
• RDQ427R180
• 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
• 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
• 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)

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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