Job Details

Enterprise Account Executive + AI / Data SaaS

  2026-03-12     Urban Digital Recruitment     San Francisco,CA  
Description:

Enterprise Account Executive

AI Infrastructure / Real-Time Data Platform - Series B

San Francisco (Hybrid)

$140K base + $140K OTE

A venture-backed AI infrastructure company is scaling its enterprise sales team.

The company has built a real-time web intelligence platform that turns the live web into structured, governed, decision-grade data for enterprises and AI systems. Its technology runs autonomous Web Search Agents that actively navigate live websites using real browsers and reasoning, delivering complete, verifiable data for high-stakes decision making.

This is not legacy scraping.

This is not index-based AI search.

This is infrastructure powering financial due diligence, competitive intelligence, pricing systems, AI copilots, and LLM-based applications where correctness matters.

Backed by top-tier investors and trusted by globally recognised enterprise brands, the company is entering its next growth phase and hiring a technically credible, enterprise-grade Account Executive to help define the category.

The Opportunity

Reporting directly to the VP of Sales, the Enterprise Account Executive will own the full enterprise sales cycle and drive net-new logo acquisition across complex, multi-stakeholder organisations.

This is a high-ownership hunter role.

The successful candidate will:

  • Own end-to-end enterprise sales from prospecting to close
  • Build and manage strategic pipeline in a primarily outbound-driven motion
  • Lead consultative discovery across business and technical stakeholders
  • Navigate complex buying committees including data, analytics, engineering, AI, and commercial teams
  • Drive technical evaluations and POCs in partnership with Sales Engineering
  • Position differentiated infrastructure value against legacy and AI-search alternatives
  • Negotiate pricing, procurement, and enterprise contracts
  • Expand strategic accounts post-land
  • Maintain disciplined forecasting and Salesforce hygiene

This is not transactional SaaS selling.

This is consultative, infrastructure-level enterprise sales where accuracy, trust, and mission-critical data matter.

Candidate Profile

The ideal candidate will bring:

  • 6+ years of quota-carrying B2B SaaS sales experience
  • Proven success closing mid-market to enterprise deals involving multiple stakeholders
  • Experience selling technical products such as:
  • Data infrastructure
  • Analytics platforms
  • AI/ML tooling
  • LLM-enablement platforms
  • Developer or API-driven products
  • Data science software
  • Demonstrated overachievement against quota in complex, multi-threaded sales cycles
  • Experience guiding technical POCs from evaluation through commercial close
  • Strong technical fluency, with confidence engaging engineering, data, and AI teams
  • Experience in startup or high-growth environments where pipeline must be built rather than inherited
  • Strong commercial discipline around forecasting and pipeline management

The successful candidate will be:

  • A true hunter rather than an account manager
  • Technically curious and commercially sharp
  • Comfortable selling differentiated, non-commodity technology
  • Energised by building territory in an emerging category
  • Autonomous, resilient, and accountable

A Bachelor's degree is required.

Why Join

  • Opportunity to sell a defensible AI infrastructure platform in a rapidly expanding market
  • Work at the intersection of AI, automation, and real-time web intelligence
  • Direct exposure to executive leadership and influence over go-to-market strategy
  • Early-stage impact in a category-defining company
  • Significant earnings potential and career progression


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