AI Partnerships Director, Data Platform Alliances

Treasure AI

New York (NY)

Hybrid

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Comprehensive medical, dental, vision
Company paid life insurance
401K with company match
RSU
Flexible Time Off
Parental leave

Job summary

Treasure AI is seeking a Product Alliance Director, Technology Partnerships to own and deepen strategic relationships with data warehouse and analytics vendors, including Snowflake, Databricks, and Google BigQuery. This role sits at the intersection of product, partnerships, and go-to-market, reporting into the Product Management organization.

The ideal candidate blends technical depth with business acumen and AI fluency.

Qualifications

  • 7+ years of experience in product management, technical partnerships, or solutions engineering—ideally in a B2B SaaS or data/AI.
  • Experience with Snowflake, Databricks, Google BigQuery, or comparable cloud data platforms.
  • Strong technical foundation to discuss data architecture, APIs, identity graphs, and AI/ML pipelines.
  • Proven business acumen with joint business cases, co-sell motions, or partner GTM programs.
  • AI fluency with daily use of AI tools and rapid prototyping using LLM-based tooling.
  • Exceptional communication, able to present to architects and executives.
  • High independence with decision making and minimal hand-holding.

Responsibilities

  • Partnership Ownership: manage relationships with Snowflake, Databricks, Google BigQuery and other data platforms.
  • Technical Engagement: lead architecture discussions and evaluate integration opportunities.
  • GTM & Revenue Enablement: map ICP accounts, develop joint marketing assets and sales plays.
  • AI-Native Execution: create assets using AI-assisted tooling and prototype integration concepts.

Skills

Product management
Technical partnerships
Solutions engineering
AI fluency
Executive communication
Independence

Job description

Treasure AI is seeking a Product Alliance Director, Technology Partnerships to own and deepen strategic relationships with data warehouse and analytics vendors, including Snowflake, Databricks, and Google BigQuery. This role sits at the intersection of product, partnerships, and go-to-market, reporting into the Product Management organization.

The ideal candidate blends technical depth with business acumen and AI fluency.

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