Location: USA (Preferred: San Francisco Bay Area)
Reports to: Cofounder & Chief Commercial Officer

About Draup

Draup is anAI-native GTM intelligence platform helping Global 2000 organizations transformhow they identify, prioritize, and win revenue.

While legacyplatforms provide static data and workflows, Draup delivers real-time,AI-driven intelligence that enables GTM teams to move faster and act withprecision. Our platform combines deep company, technology, and buyer insightswith purpose-built AI Agents to drive account discovery, buyer mapping, andpipeline generation at scale.

Integrateddirectly into systems like Salesforce Agentforce and Microsoft Copilot, Draupenables Sales, Marketing, and RevOps teams to shift from data access to intelligentexecution.

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Role Overview

You willidentify, develop, and close new business through active prospecting andcollaboration with our BDR and Marketing teams. With large, opportunity-richterritories, we seek a proven seller who can deliver immediate results. Youalso have the opportunity to mine new cross-sell opportunities within the largenumber of current enterprise customers.

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Key Responsibilities

Build a robust pipeline and maintain client relationships
Engage enterprise accounts via phone, email, social selling, and other outreach methods
Deliver tailored product demos and develop consultative solutions
Leverage research and data for relevant prospect presentations
Employ consultative sales methodologies (e.g., MEDDIC, Challenger Sales)
Navigate complex procurement, legal, and finance processes
Maintain pipeline discipline and accurate forecasting
Partner with BDRs and Marketing to drive lead generation

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The Candidate

Experience

3+ years of selling Software products / SaaS solutions in B2B companies
2+ years of experience selling to enterprise Sales and Marketing Leaders
SaaS sales experience with complex sales cycles
Strong organizational and communication skills (verbal/written/visual)
Process-driven and self-motivated
Familiarity with Sales, Marketing, and Account Management preferred

Domain Expertise

Understanding of modern GTM motions (ICP account discovery, opportunity identification, buyer identification, pipeline generation, account planning, etc.)
Familiarity with CRM and GTM ecosystems (e.g., Salesforce, Dynamics, sales intelligence tools)
Experience with data, AI, or platform-based solutions is a strong plus

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What We Value:

Coachability, curiosity, and autonomy
A drive to learn and excel
Energetic, optimistic, and entrepreneurial spirit

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What We Offer

Competitive base salary
Incentive Compensation: performance-linked variable compensation
Benefits Package: Health, Dental, 401(k), et

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Data Trust & Methodology at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

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Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

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Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

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Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company.

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AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

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Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

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Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.

Enterprise Account Executive

Data Trust & Methodology at Draup

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Ethical AI, Backed by Global Standards

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Drive better decisions with unmatched, real-time data & agentic intelligence