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

Treasure AI:

Treasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on through continuous, context-driven action.

Furthermore, Treasure AI employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility.

Your Role:

Treasure 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.

The ideal candidate brings a rare combination of technical depth, business acumen, and AI fluency. You can hold a credible architecture conversation with a solutions engineer in the morning, and present a compelling joint value proposition to a C-suite partner in the afternoon — all without leaning on R&D resources until a truly deep engineering discussion is warranted.

You will be the primary product point of contact for Treasure AI's data warehouse ecosystem partners, driving alignment on joint roadmaps, co-sell motions, and integration strategy. You will also work closely with GTM to map ICP target accounts, identify expansion opportunities, and help translate technical differentiation into revenue impact.

Responsibilities:Partnership Ownership

• 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.

Technical Engagement

• 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.