Senior Enterprise AI Account Executive (Deasy Labs)

Join Deasy Labs as a Senior Enterprise AI Account Executive, where you will be responsible for acquiring new logos and managing the full sales cycle. You will build a structured prospecting motion, multi-thread across various teams, and connect AI products to Collibra's core governance story. You will also deliver accurate forecasting and achieve key milestones within your first six months. Enjoy a range of benefits including unlimited paid time off, remote work opportunities, and comprehensive healthcare coverage.

• Acquisition of new logos by engaging with AI/ML teams and Chief AI Officers, managing the entire sales cycle.
• Development of a structured prospecting strategy, including agent-based prospecting and SDR-assisted pipeline.
• Building consensus and accelerating deal velocity by multi-threading across various teams within the organization.

• 3+ years of enterprise SaaS sales experience selling to technical buyers including AI/ML, data engineering, platform engineering, or software engineering teams
• This position is not eligible for visa sponsorship
• Skilled at multi-threading across a buying committee by instinct, not by process checklist
• A bachelor's degree or equivalent related working experience is required
• A track record of closing $200K+ ACV deals with AI/ML teams as the primary economic buyer
• Able to earn credibility with AI engineers quickly; you're a peer, not a pitch
• Demonstrated quota attainment of at least 100% across two or more employers
• Able to hold your own on AI governance topics including bias, auditability, and model risk without a subject matter expert in the room
• Familiar with unstructured data concepts and able to translate them into business value for stakeholders who don't live in the stack
• Comfortable creating real urgency in a market where buyer timelines shift constantly, without manufacturing false pressure
• Demonstrated proficiency in leveraging AI tools (e.g., Claude, Gemini, ChatGPT, Copilot) to solve real-world business challenges, drive measurable outcomes, or streamline workflows