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 OwnershipServe 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 EngagementLead 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 EnablementCollaborate 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 ExecutionSelf-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 HavePrior 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.
Why This RoleDirect impact: You will own relationships with some of the most strategically important names in the modern data stack and shape how Treasure AI's platform integrates into their