Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases. Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost. Learn more at www.dremio.com.
We are seeking a highly skilled and hands-on Senior Product Manager to lead the strategy, development, and delivery of cutting-edge data projects in Dremio. This role focuses on leveraging modern data platforms like dbt and Dremio, with a strong emphasis on data lakehouses, Apache Iceberg, and data transformation workflows. As a key member of our product management team, you will shape the future of our data ecosystem and empower teams to make data-driven decisions.
What you’ll be doing- Product Strategy: Define and execute the product roadmap for data projects, ensuring alignment with organizational goals and market trends
- Hands-on Expertise: Actively engage with data engineering tools and platforms (DBT, Dremio, Apache Iceberg) to understand technical challenges and provide actionable solutions
- Stakeholder Collaboration: Partner with engineering, marketing, and business teams to gather requirements, prioritize features, and deliver impactful data solutions
- Platform Ownership: Lead the integration and optimization of data warehouses and data lakehouse solutions, enabling efficient data workflows and governance
- Innovative Thinking: Drive adoption of modern technologies such as Apache Iceberg to enhance performance, scalability, and manageability of data systems
- User-Centric Design: Ensure product solutions address real-world problems, enhance data accessibility, and improve user experience
- Market Analysis: Stay updated on data engineering and analytics trends, tools, and best practices to maintain a competitive edge
- Bachelor’s degree in Computer Science, Data Science, or related field (or equivalent experience)
- 6+ years of product management experience with a focus on data platforms, warehouses, or analytics
- Proven expertise with dbt, Dremio, Apache Iceberg, and/or cloud-based data ecosystems (e.g., AWS, Azure, GCP)
- Deep understanding of data modeling, ETL/ELT workflows, and managing data products in a modern stack
- Strong ability to work cross-functionally with technical and non-technical teams to deliver results
- Track record of tackling complex technical challenges and delivering scalable solutions
- Strong communication skills with the ability to articulate technical concepts to diverse audiences
- Proven ability to lead multiple projects in a fast-paced environment
- Deployed and tested Dremio
- Hands-on experience working with dbt
- Familiarity with SQL-based analytics and BI tools
Workplace Wednesdays - to break down silos, build relationships and improve cross-team communication. Lunch catering / meal credits provided in the office and local socials align to Workplace Wednesdays. In general, Dremio will remain a hybrid work environment. We will not be implementing a 100% (5 days a week) return to office policy for all roles.
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At Dremio, we hold ourselves to high standards when it comes to People, Thinking, and Action. Our Gnarlies (that's what we call our employees) communicate with clarity, drive accountability, and are respectful towards each other. We confront brutal facts and focus on results while operating with a sense of urgency and building a "flywheel". People who like to jump in and drive momentum will thrive in our #GnarlyLife.
Dremio is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor.
Dremio is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.
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Important Security Notice for CandidatesAt Dremio, we uphold trust and transparency as paramount values in all our interactions with customers, partners, employees, and the general public. We have been targeted by individuals creating fake domains similar to ours to scam prospects and candidates. Please note that all official communications from us will be from an @dremio.com domain. If you suspect you've been targeted by a scam, it's imperative to report the incident to your local law enforcement agencies. For more information about this type of scam, please refer to Dremio's official statement here.
Dremio is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
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What We Do
Dremio is the Data Lake Engine. Created by veterans of open source and big data technologies, and the creators of Apache Arrow, Dremio is a fundamentally new approach to data analytics that helps companies get more value from their data, faster. Dremio makes data engineering teams more productive, and data consumers more self-sufficient. For more information, visit www.dremio.com. Founded in 2015, Dremio is headquartered in Mountain View, CA. Investors include Lightspeed Venture Partners, Redpoint, and Norwest Venture Partners. Connect with Dremio on GitHub, LinkedIn, Twitter, and Facebook.
