
Senior Account Executive
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in United States.
• Take charge of acquiring new logos by engaging with AI/ML teams and Chief AI Officers across the designated territory, overseeing the complete sales cycle from prospecting to closing.
• Develop a structured and self-sourced prospecting approach, incorporating agent-based prospecting alongside SDR-assisted pipeline efforts.
• Facilitate multi-threading across AI engineering, AI operations, data platforms, and executive sponsors to foster consensus and enhance deal velocity.
• Link AI products to Collibra's fundamental governance narrative in accounts where AI governance presents a natural opportunity for expansion discussions.
• Provide precise and dependable forecasting by maintaining real-time updates in Salesforce.
• Complete the onboarding process, devise a territory account plan, and pinpoint priority target accounts within the first month.
• Create an active, qualified pipeline with AI team buyers and ensure at least two deals progress beyond the discovery stage by the third month.
• Successfully close initial net-new logos and confidently forecast the annual target within the sixth month.
• A minimum of 3 years of experience in enterprise SaaS sales, specifically targeting technical buyers, including AI/ML, data engineering, platform engineering, or software engineering teams.
• Proven history of closing deals worth $200K+ ACV with AI/ML teams as the primary economic decision-maker.
• Demonstrated achievement of at least 100% of sales quotas across two or more employers.
• Skilled in utilizing AI tools such as Claude, Gemini, ChatGPT, and Copilot to address business challenges, drive measurable outcomes, or optimize workflows.
• A bachelor's degree or equivalent relevant work experience is mandatory.
• This position is not eligible for visa sponsorship.
• Understanding of unstructured data concepts is advantageous.
• Capability to engage in discussions regarding AI governance issues such as bias, auditability, and model risk.
• Bonus potential.
• Equity for eligible roles.
• Flex Fund monthly stipend.
• Pension/401k plans.
• Competitive compensation.
• Health coverage.
• Time off.
• Flexible benefits offerings that support employees and their loved ones through various circumstances and life events.
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