Technical Product Manager - Data Foundations
Listed on 2026-01-24
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IT/Tech
Data Engineer, Data Analyst
About Us:
At , data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make.
Through our products, partners and people, we make it easier for everyone to experience the world.
The Data Foundations product group comprises a suite of horizontal products / services that support both data producers and consumers in getting the most out of the platform, supporting both target segments with foundational capabilities expected out of an enterprise grade data & ML platform. Platform products like distributed compute, compute marketplace, distributed storage, Identity and Access Management, Discovery & Lineage, Privacy make up the data foundations product group.
KeyJob
Responsibilities and Duties:
As a Technical Product Manager for the Lineage Sourcing product, you set the product vision, GTM strategy and drive adoption of enterprise wide lineage tooling, across OLTP and OLAP data and AI systems, and its integration with various other governance tooling like the enterprise policy platform, the enterprise knowledge graph and the enterprise wide data & AI product discovery UX.
The primary mission of this product is to enable managed sourcing of table and eventually column level lineage (where applicable) from the majority of multi-modal data production and consumption pathways across the enterprise - across data storage systems (OLTP/OLAP/HTAP) and across workloads running OLTP (Java, Python) and OLAP / HTAP workloads (Spark, dbt, python, SQL etc).
The product would roll up into multiple products / tools enterprise wide - surfacing crucial lineage information to power data & AI product discovery experiences, visibility around movement / transformation of data as it moves through systems enterprise wide, and serve multiple personas from control functions to legal functions to application developers to data / reporting analysts to data engineers and ML/AI engineers / scientists and of course governance personas across the business, which fosters trusts in the data / AI product being used, enables targeted impact analysis before a change needs to be introduced and elevates the overall trust and governance posture of the data landscape enterprise wide.
The role would require balancing value elements for the both user segments - the data & AI practitioners of the business as well as the compliance / control / legal functions. And requires a deep and wide understanding of enterprise data production and consumption patterns, in large scale distributed enterprise data systems.
The ideal candidate would bring in demonstrated experience in solving for similar problem spaces, at a similar of higher scale, and be passionate about identifying opportunities for their product(s), be deeply passionate about understanding specific needs for each segment of their target customer base, while solving for the compliance challenges around multi-modal data processing the enterprise and our users face today.
- User-focused individual who keeps the customer at the heart of everything they do, while having strong commercial awareness.
- Data-driven. Base your decisions on facts rather than opinions.
- A go-getter who isn’t afraid to roll up sleeves and dives into a project to achieve success by problem solving.
- Passionate about data & machine learning and building a platform that can be leveraged by the whole company. Constantly looking for ways to improve and streamline the capabilities.
- Open-minded team player with excellent communication skills.
- Agile and innovative with the tenacity to thrive in a constantly changing environment.
- Self-motivated and results-driven with a take charge attitude to manage the full development cycle of a product.
- Friendly, knowledgeable, and motivational to others. Open to diversity in all shapes and sizes.
- Experienced with distributed data & AI Platforms, including wide and deep understanding of…
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