Director of Product Management, lakeFS
Mission
Imagine a world without version control for code – that’s the reality for most data today. As AI-driven applications demand more robust, scalable, and high-quality data pipelines, traditional data management struggles to keep up. lakeFS changes the game by bringing powerful version control to data lakes, unlocking new capabilities for AI and data engineers, building resilient pipelines for AI platforms, machine learning, business intelligence, and other advanced data use cases.
Used by thousands of organizations worldwide, from nimble startups to Fortune 500 giants, many of them taking advantage of lakeFS’s commercial offerings (Enterprise and Cloud) – lakeFS enables companies to streamline data collaboration and ensure data quality with a rich layer of version control.
About the role
Location: Remote, US East Coast preferred
Office: New York city office available; attendance is fully optional
Employment type: Full-time
Reports to: Co-founder & CTO
We are looking for a Director of Product Management to lead product strategy and execution for lakeFS as we expand our role in the modern data, AI, and infrastructure ecosystem. As Director of Product Management, you will own core product direction for lakeFS, working closely with engineering, go-to-market, customers, and the open-source community. This is a highly technical product leadership role for someone who can understand deeply how data engineers, data scientists, platform teams, and infrastructure leaders build and operate data-intensive systems.
You will be responsible for identifying the most important customer problems, translating them into a focused product strategy, and driving execution from discovery through launch and adoption.
What you'll do
- Define and drive product strategy, roadmap, and prioritization for lakeFS (both Open Source and Enterprise)
- Work directly with customers and users to understand workflows, pain points, buying drivers, and technical requirements.
- Partner closely with engineering to shape technically sound, high-impact product solutions.
- Collaborate with sales, marketing and customer success on positioning, launches, enablement, and adoption.
- Develop a deep understanding of the data infrastructure, AI tooling, and developer tooling landscape.
- Own product requirements, trade-off decisions, success metrics, and post-launch learning.
- Represent the product externally with customers, partners, community members, and technical audiences.
- Help evolve lakeFS from a strong technical product into a category-defining platform.
What success looks like
In this role, success means building a product strategy that is both technically credible and commercially meaningful. You will help lakeFS focus on the highest-impact opportunities, sharpen the product’s value proposition, and deliver capabilities that make customers more successful with data and AI infrastructure.
Work environment
This is a fully remote role, with a preference for candidates located on the U.S. East Coast. We have an office in New York City available for collaboration, but office attendance is completely optional.
Requirements
What we’re looking for
- Significant product management experience in a technical B2B software company, preferably in databases, data infrastructure, AI tooling, developer tools, cloud infrastructure, or related systems.
- Strong technical depth, with the ability to reason about architecture, APIs, distributed systems, data platforms, and developer workflows.
- Previous hands-on software development experience.
- Proven ability to work effectively with engineering teams on complex technical products.
- Experience owning product strategy and roadmap for infrastructure or platform products.
- Strong customer discovery skills, including the ability to distinguish urgent customer needs from one-off requests.
- Excellent written and verbal communication skills, especially with technical audiences.
- Ability to operate independently in a fast-moving startup environment.
- Located on the U.S. East Coast or able to work substantial East Coast hours.
Nice to have
- Experience with data lakes, object storage, Apache Iceberg, Spark, Databricks, Snowflake, Kubernetes, or cloud-native data platforms.
- Experience with open-source software, developer communities, or commercializing open-source infrastructure.
- Familiarity with MLOps, AI data pipelines, model development workflows, or unstructured data management.
- Experience working with both self-serve developer adoption and enterprise sales motions.
- Prior leadership experience as a senior PM, group PM, director, or equivalent product owner for a major product area.
About the company
lakeFS is the control plane for AI-ready data, bridging the infrastructure gap that slows down enterprise AI initiatives. Built on a highly scalable data version control architecture, lakeFS accelerates AI delivery, ensures data quality, makes AI training reproducible, and reduces data access friction while supporting compliance across data silos. lakeFS is trusted by AI/MLOps teams, data engineers, and data scientists at thousands of organizations including Arm, Bosch, Lockheed Martin, NASA, Volvo, and the U.S. Department of Energy.
