Sr. Product Marketing Manager, Analytics Partners

MinIO is the industry leader in high-performance object storage, and they are seeking a Senior Product Marketing Manager to enhance their positioning within the Databricks ecosystem. This role involves crafting narratives, executing go-to-market strategies, and collaborating with various teams to promote AIStor as a key data platform for hybrid analytics and AI.

Responsibilities:

• Own the messaging and content that defines MinIO's role in the Databricks ecosystem across AIStor Table Sharing, Delta Sharing, Unity Catalog, Apache Iceberg™, and Delta Lake
• Be the face of MinIO's marketing efforts for the Databricks partnership, representing the joint story at industry events, on webinars, in analyst briefings, and in executive conversations with Databricks and customer leadership
• Develop the technical and business positioning for AIStor Table Sharing as the bridge between on-premises data and Databricks cloud compute
• Translate value across the seam between infrastructure and data teams, the two organizations that own the buying decision but don't always speak the same language
• Partner with Databricks marketing, product, and field teams to plan and execute joint launches, joint content, joint events, and co-branded technical assets
• Build solutions content for the verticals where regulated or high-gravity on-premises data meets active Databricks footprint
• Build and deliver the enablement content (battlecards, talk tracks, customer presentations, technical briefs, one-pagers) that lets MinIO sellers and Databricks AEs, Solutions Architects, Partner Solutions Architects, and Field CTOs confidently co-sell into hybrid analytics opportunities
• Drive the GTM strategy and execution for AIStor releases that touch the Databricks ecosystem
• Partner with the BDR team to build outbound sequences, post-event follow-up programs, and inbound nurture tracks targeting Databricks-centric accounts

Requirements:

• Bachelor's degree in Marketing, Business, Computer Science, or a related field
• 7+ years of experience in product marketing, with at least 3 years focused on data platforms, analytics, lakehouse architectures, or strategic partner marketing
• Demonstrated experience driving partner co-marketing programs with strategic technology partners such as Databricks, Snowflake, AWS, Google Cloud, or other major data and cloud platforms
• Strong technical acumen on lakehouse architecture, open table formats (Delta Lake, Apache Iceberg™), data sharing protocols, and the modern data and AI stack. Fluent enough to engage credibly with Databricks product and field teams and with technical buyers at customer accounts
• Proven ability to translate complex technical capabilities into clear, differentiated narratives for both economic buyers (CIO, CDO, CTO, CISO, VP of Data and Analytics) and technical champions (Director of Data Engineering, Principal Data Architect, Databricks Platform Owner, Lead Data Engineer)
• Excellent written and verbal communication skills, with experience creating sales enablement content and customer-facing materials. Tight, prose-forward copy. No reliance on bullet-heavy formatting where prose works better
• Track record of executing high-stakes product launches with cross-functional coordination across Product Management, Engineering, Sales, and external partners
• Self-starter mentality with the ability to operate independently in a fast-paced, remote-first environment
• Direct experience working with or alongside Databricks, including familiarity with Delta Sharing, Unity Catalog, Databricks SQL, Mosaic AI, or the broader Databricks Data Intelligence Platform
• Hands-on familiarity with Apache Iceberg™, Delta Lake, and the open lakehouse ecosystem, including catalog technologies and table format interoperability
• Background that includes time in technical roles (engineering, solutions architecture, technical pre-sales, or developer relations) or in data and analytics functions
• Familiarity with MinIO, S3-compatible storage, or high-performance object storage for AI and analytics workloads
• Experience marketing into regulated industries (financial services, federal, healthcare) where data sovereignty and on-premises data gravity shape buying decisions
• Experience marketing to North American enterprises required. Familiarity with EU and UK enterprise data sovereignty considerations a plus, with the ability to calibrate tone for understated, factual European market communication