The ideal candidate is a self-starter , accustomed to operating without large support structures, and capable of creating influence and field alignment inside Azure and Databricks. This role is designed for someone who thrives in high-autonomy, high-ambiguity environments and knows how to shape partner motions that drive measurable revenue impact.

Key Responsibilities

• Manage and expand relationships with Microsoft Azure and Databricks across field, partner management, and specialist organizations.
• Drive co-sell motions with PDMs, SSPs, GBBs, CSAs, Databricks AEs, and Partner Success teams.
• Lead joint territory planning, account mapping, and GTM alignment tied to Data/AI priorities.
• Generate partner-originated and partner-influenced pipeline for Covasant’s internal sales teams.
• Position Covasant’s Data, AI, and agentic offerings to hyperscaler field stakeholders.
• Maintain structured operating cadences (pipeline reviews, forecast syncs, QBRs, executive steering).
• Deliver partner intelligence, program insights, and GTM opportunity recommendations.
• Operate with high independence in building partner pull, co-sell momentum, and field-level amplification.

What We’re Looking For

• 7–15 years of experience in cloud/data/AI GTM roles, with a blend of partner sales and prior quota-carrying direct sales experience .
• Strong knowledge of/and relationship within Azure and/or Databricks partner ecosystems, programs, and co-sell workflows.
• Experience driving influence-based sales motions and ecosystem-led pipeline creation.
• Deep understanding of cloud data platforms, analytics, lakehouse architecture, and AI/ML solution framing.
• High-accountability, builder mindset—comfortable creating structure where none exists.
• Strong communication, executive presence, and relationship-building abilities.

Preferred Qualities

• Entrepreneurial and resourceful; thrives in start-up or scale-up environments.
• Strong partner-facing storytelling and value articulation capabilities.
• Skilled at navigating complex GTM landscapes involving hyperscalers and data platforms.
• Able to translate industry-specific pain points into partner-aligned growth opportunities.