Principal Product Manager - Data Lakehouse (Remote, USA)

About the position

The Principal Product Manager for Data Lakehouse at Splunk is responsible for leading the strategic direction and roadmap for search federation, enhancing the company's security and observability applications. This role involves collaborating with various teams to build and launch innovative products that address customer needs in the data lake market, ultimately driving significant revenue growth.

Responsibilities

• Own the full lifecycle of the product/service experience, gathering requirements, driving execution, pricing, deploying and operating the service
• Define and evolve the product roadmap for search federation across cloud data lakes and lake-houses
• Engage with customers, develop insights into what is possible, and transform them into clear value propositions and results
• Define product specs, user stories, mockups, acceptance criteria and drive execution in collaboration with engineering and QA
• Interact and collaborate with Cloud SREs, SEs, and customer success teams, to deploy and operate Splunk Cloud platform services
• Collaborate with product marketing and partner teams to support content creation, product positioning, pricing and drive Go-To-Market

Requirements

• 5+ years of experience in product management
• Experience as a Product Manager in successfully building, launching and promoting adoption of data platform features and products for unstructured, structured, and semi-structured data with direct revenue attached
• Deep understanding of data/analytics market, technology (Big Data, Databases, Query Processing, Data Lakes), competition, and industry
• Strong sense of product/service ownership, bias for execution and customer empathy to care deeply about customer problems and user experience
• Collaborative team player, with strong communication skills, including the ability to translate sophisticated technical products and features into simple concepts

Nice-to-haves

• Experience building products involving large scale data management, Big Data analytics, search and cloud technologies
• Strong bias for action, creative thinking, innovation, and product decision-making
• Operate and think in terms of the business outcomes, end-user experience and the underlying technology stack to drive those experiences and outcomes
• Familiarity with databases, query optimization and execution, cloud services and technologies such as Athena, Glue, S3, Azure Data Lake Storage, GCS, Big Query, Apache Iceberg, Delta Lake
• Passion for solving exciting technical/business problems and building enterprise products with intuitive user experience

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) plan and match
• Paid time off