Director, AI Data Partnerships & Cloud Alliances

Treasure AI; Mountain View (CA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical, dental, vision plans

401K with company match

RSU allocations

Flexible Time Off

Parental leave

Job summary

Treasure AI, based in Mountain View, CA, is seeking a Product Alliance Director, Technology Partnerships to own and deepen strategic relationships with Snowflake, Databricks, and Google BigQuery. The role sits at the intersection of product, partnerships, and GTM, reporting into the Product Management organization.

You will translate technical differentiation into revenue impact, lead architecture discussions, and define co-sell motions, ICP mappings, and expansion opportunities.

Qualifications

• 7+ years in product management, technical partnerships, or solutions engineering in B2B SaaS or data/AI.
• Experience working with cloud data platforms (Snowflake, Databricks, Google BigQuery) or similar.
• Strong technical foundation: data architecture, APIs, identity graphs, and AI/ML pipelines.
• Proven ability to build business cases and co-sell motions that drive revenue.

Responsibilities

• Partner Ownership: act as primary product liaison with Snowflake, Databricks, Google BigQuery, and other data platform partners and own joint roadmaps.
• Technical Engagement: lead architecture discussions and assess integration opportunities with partner SEs.
• GTM & Revenue Enablement: map ICP target accounts and develop joint marketing assets and sales plays.
• AI-Native Execution: create assets and prototypes using AI tooling and drive fast, high-quality outputs.

Skills

Product management

Technical partnerships

Solutions engineering

AI fluency

Executive communication

Independent decision making

Job description

Treasure AI, based in Mountain View, CA, is seeking a Product Alliance Director, Technology Partnerships to own and deepen strategic relationships with Snowflake, Databricks, and Google BigQuery. The role sits at the intersection of product, partnerships, and GTM, reporting into the Product Management organization.

You will translate technical differentiation into revenue impact, lead architecture discussions, and define co-sell motions, ICP mappings, and expansion opportunities.