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Enterprise Account Executive – AI / Data / SaaS

Bridgegap Consults Limited · San Francisco, CA 94114

# Enterprise Account Executive – AI / Data / SaaS **Bridgegap Consults Limited** · San Francisco, CA 94114 · `On-site` 🕒 **Статус:** *Опубликовано: 3 дня назад* · *Источник: Indeed* --- ### About the Role Location: San Francisco Bay Area, California Work Arrangement: Onsite Salary: $140,000 gross per year We are seeking an experienced Enterprise Account Executive to drive new business growth for an innovative AI and data technology company. The company is developing a next-generation platform at the intersection of Artificial Intelligence, Large Language Models (LLMs), and real-time web intelligence, helping enterprises and developers transform complex web data into structured, reliable and actionable information. This is an exciting opportunity for a high-performing, hunter-focused enterprise sales professional who thrives in fast-paced, technical startup environments and is passionate about selling emerging AI technology. The Role Reporting to the VP of Sales, the Enterprise Account Executive will own the full sales cycle and be responsible for acquiring new enterprise and upper mid-market customers. You will work closely with technical stakeholders, including data, AI and engineering teams, to understand business challenges and demonstrate how innovative technology can deliver measurable value. Key Responsibilities * Own the complete enterprise sales cycle from prospecting and qualification through demonstration, negotiation and close. * Develop and maintain a strong pipeline of new enterprise and upper mid-market opportunities. * Identify and engage senior decision-makers across technology, data, AI and engineering functions. * Lead technical sales conversations and product demonstrations with prospective customers. * Develop strategic relationships with enterprise accounts and key stakeholders. * Drive new-logo acquisition and revenue growth. * Identify expansion, cross-sell and upsell opportunities within existing accounts. * Navigate complex enterprise sales cycles involving multiple stakeholders. * Maintain accurate CRM records, sales activity and opportunity data. * Provide reliable sales forecasts and maintain strong pipeline discipline. * Collaborate with internal technical and commercial teams to move opportunities through the sales process. Must-Have Requirements * 6+ years of quota-carrying B2B SaaS sales experience. * Proven experience selling enterprise software in a startup or high-growth technology environment. * Demonstrated track record of successfully closing complex enterprise sales cycles. * Direct experience selling into AI, Machine Learning (ML), data or AI-driven technology companies/platforms. * Strong prospecting and new-business development skills. * Demonstrated hunter mentality and ability to build pipeline independently. * Experience engaging technical and executive-level stakeholders. * Excellent communication, presentation, negotiation and closing skills. * Strong CRM discipline and experience managing enterprise sales pipelines. * Comfortable operating in a fast-paced, highly technical environment. What We’re Looking For The ideal candidate is commercially driven, technically curious and comfortable selling products that require education and consultative selling. You should be someone who enjoys building relationships from scratch, opening doors, navigating complex organizations and closing high-value enterprise deals. Experience selling emerging AI, data infrastructure, developer tools or other highly technical SaaS solutions is particularly valuable. What We Offer * $140,000 gross annual salary. * Onsite opportunity in the San Francisco Bay Area. * Opportunity to work with cutting-edge AI, LLM and real-time data technology. * High-growth startup environment. * Opportunity to help shape an emerging category within enterprise technology. * Direct exposure to senior sales leadership and enterprise customers. Pay: $140,878.59 - $150,000.00 per year Work Location: In person

Наблюдалась 2026-09-17, впервые 2026-09-13, источник — Indeed.

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