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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in enterprise SaaS sales with a focus on AI/ML, data engineering, and platform engineering, while effectively managing the sales cycle and building strong relationships with technical buyers. Proficient in leveraging AI tools to drive business outcomes and navigate complex sales environments.
Highest-signal resume keywords
Enterprise SaaS Sales ExperienceAI/ML Sales ExpertiseQuota Attainment of 100%Proficiency in AI ToolsUnderstanding of AI Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Sales Cycle ManagementProspectingForecastingClosing High-Value DealsAccount PlanningPipeline DevelopmentQuota AchievementData Engineering KnowledgePlatform Engineering KnowledgeUnstructured Data Familiarity
Soft Skills
Relationship BuildingConsensus BuildingCommunication SkillsNegotiation SkillsProblem-Solving
Tools & Technologies
SalesforceClaudeGeminiChatGPTCopilot
Industry Keywords
AI GovernanceBiasAuditabilityModel RiskTechnical Buyers
About the role
Key responsibilities & impact- Own net-new logo acquisition with AI/ML teams and Chief AI Officers across the territory, managing the full sales cycle from prospecting through close
- Build a structured, self-sourced prospecting motion, including agent-based prospecting layered on SDR-assisted pipeline
- Multi-thread across AI engineering, AI ops, data platform, and executive sponsors to build consensus and accelerate deal velocity
- Connect AI products to Collibra's core governance story in accounts where AI governance is a natural expansion conversation
- Deliver accurate, reliable forecasting with real-time Salesforce updates
- Complete onboarding, build a territory account plan, and identify priority target accounts within the first month
- Establish active qualified pipeline with AI team buyers and have at least two deals past discovery within the third month
- Close first net-new logos and forecast the annual number with confidence within the sixth month
Requirements
What you’ll need- 3+ years of enterprise SaaS sales experience selling to technical buyers, including AI/ML, data engineering, platform engineering, or software engineering teams
- Track record of closing $200K+ ACV deals with AI/ML teams as the primary economic buyer
- Demonstrated quota attainment of at least 100% across two or more employers
- Proficiency leveraging AI tools such as Claude, Gemini, ChatGPT, and Copilot to solve business challenges, drive measurable outcomes, or streamline workflows
- A bachelor's degree or equivalent related working experience is required
- Position is not eligible for visa sponsorship
- Familiarity with unstructured data concepts
- Ability to discuss AI governance topics including bias, auditability, and model risk
Benefits
Comp & perks- Bonus potential
- Equity for eligible roles
- Flex Fund monthly stipend
- Pension/401k plans
- Competitive compensation
- Health coverage
- Time off
- Flexible benefits offerings supporting employees and loved ones through diverse circumstances and life events
