Product Alliance Director, Technology Partnerships

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.

GTM & Revenue Enablement

• 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.

AI-Native Execution

• 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 independen