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Product Alliance Director, Technology Partnerships - Snowflake, Databricks, Google BigQuery

Treasure AI · Mountain View, NY · 2 days ago
HybridInformation TechnologyFull-time

Your Role

Treasure AITreasure AI is seeking a Product Alliance Director, Technology Partnerships to own and deepen our strategic relationships with key cloud data warehouse and analytics vendors — including Snowflake, Databricks, and Google BigQuery. This is a high-visibility, cross-functional role sitting at the intersection of product, partnerships, and go-to-market, reporting into the Product Management organization.

Responsibilities

  • Serve as the primary product liaison for Treasure AI's relationships with Snowflake, Databricks, Google BigQuery, and other strategic data platform partners.

  • Own the joint product roadmap and integration backlog with each partner, ensuring Treasure AI's capabilities are deeply embedded in partner ecosystems.

  • Negotiate and align on co-sell agreements, marketplace listings, and technical partnership tiers.

  • Represent Treasure AI at partner events, technical working groups, and executive business reviews.

  • Lead architecture-level discussions with partner SEs and technical leadership — fluently covering data ingestion, query federation, identity resolution, and AI/ML pipelines.

  • Independently evaluate integration opportunities and write functional specifications without requiring R&D involvement in initial scoping phases.

  • Monitor partner platform roadmaps and assess impact on Treasure AI's product strategy and competitive positioning.

  • Collaborate with Sales and Solutions Engineering to map ICP target accounts where joint partner motions create the highest revenue leverage.

  • Develop co-marketing assets, joint solution briefs, and sales plays that help field teams position Treasure AI within the partner ecosystem.

  • Define and track partnership KPIs including influenced pipeline, co-sell deal counts, and integration adoption metrics.

  • Self-sufficiently create high-quality assets — branded decks, one-pagers, competitive briefs, and demo narratives — using AI-assisted tooling.

  • Rapidly prototype integration concepts and partner use cases to validate technical feasibility before engaging engineering resources.

  • Champion AI-fluent ways of working across the partnerships function, setting the bar for speed and output quality.

Job Requirements

  • 7+ years of experience in product management, technical partnerships, or solutions engineering — ideally in a B2B SaaS or data/AI company.

  • Demonstrated experience working with one or more of: Snowflake, Databricks, Google BigQuery, or comparable cloud data platforms.

  • Strong technical foundation — able to understand and discuss data architecture, APIs, identity graphs, and AI/ML pipelines at a conceptual-to-functional level.

  • Proven business acumen — experience building joint business cases, co-sell motions, or partner GTM programs that influenced revenue.

  • AI fluency — actively uses AI tools in your daily workflow; can rapidly prototype, draft, and iterate using LLM-based tooling.

  • Exceptional communication skills — able to adapt from a whiteboard with architects to a boardroom with executives.

  • High degree of independence — comfortable making decisions and driving outcomes without heavy process scaffolding or cross-functional hand-holding.

Nice to Have

  • Prior experience in a CDP, customer data platform, or marketing technology company.

  • Familiarity with data clean rooms, zero-copy architectures, or composable CDP patterns.

  • Experience working on Snowflake Native Apps, Databricks Marketplace listings, or Google Cloud Partner Advantage programs.

  • Background in solutions consulting or pre-sales technical roles.

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