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SunnyData

Senior Account Executive

SunnyData

. Participate in the full sales cycle .

Posted 11/9/2026full-timeRemote • United States, Uruguay, Argentina, MexicoSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in consultative selling and client relationship management, with a strong focus on achieving revenue targets through strategic partnerships and data solutions. Proficient in navigating complex sales cycles and collaborating with technical teams to deliver tailored proposals.

Highest-signal resume keywords
Consulting Sales ExperienceData Engineering ExpertiseCloud Solutions KnowledgeStrong Presentation SkillsStakeholder Relationship Management

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Sales Cycle ManagementRevenue Target AchievementData TransformationAI/ML ConsultingPipeline DevelopmentForecasting AccuracyConsultative SellingTechnical FluencyProposal DevelopmentMultichannel Campaign Execution
Soft Skills
Relationship BuildingInfluencing SkillsCuriositySelf-MotivationAccountability
Tools & Technologies
DatabricksMicrosoft AzureFivetran
Industry Keywords
ConsultingData ManagementPlatform ModernizationSales DisciplineHigh-Growth Environments

Tech Stack

Tools & technologies
AzureCloud

About the role

Key responsibilities & impact
  • Participate in the full sales cycle
  • Generate new sales and achieve revenue targets
  • Manage client relationships end to end
  • Collaborate with Databricks, Microsoft Azure, and Fivetran to co-sell and deliver data transformation and AI solutions
  • Build pipeline through prospect research, networking, cold outreach, and securing stakeholder meetings
  • Run multichannel campaigns across calls, email, social media, and events
  • Build brand presence and create opportunities within the assigned territory
  • Develop pursuit strategies and lead deals through the full buying cycle
  • Expand wins into multi-million-dollar strategic partnerships
  • Align sales, delivery, and customer success
  • Partner with solutions engineers and marketing on tailored proposals
  • Manage enterprise stakeholder relationships with executives, budget owners, and decision-makers
  • Maintain pipeline hygiene and forecasting accuracy
  • Meet or exceed revenue goals across Data Engineering, Platform Modernization, and AI/ML Consulting

Requirements

What you’ll need
  • 10+ years in consulting sales, solution delivery, or technical roles
  • Ideally, exposure to cloud, data, or AI
  • Strong record of exceeding goals
  • Business insight, sales discipline, and technical fluency for consultative selling
  • Ability to identify obstacles and position solutions effectively
  • Initiative and proactive use of resources
  • Accountability for results and outcome orientation
  • Ability to build lasting relationships with senior stakeholders
  • Strong written, verbal, and presentation skills
  • Ability to influence technical and executive audiences
  • Curiosity, self-motivation, and ability to stay current on industry trends
  • Ability to thrive in fast-paced, high-growth environments
  • Up to 30% travel depending on client and partner engagement needs
  • 4-year bachelor's degree preferred
  • Professional consulting or services experience
  • Professional experience in the data space, including data engineering, data transformation, or data management
  • Ability to work legally in the United States

Benefits

Comp & perks
  • Health insurance for employees and eligible family members from the first day of employment
  • Minimum of 15 days paid time off annually
  • Nine paid company holidays
  • Opportunities for technical and people-skills growth
  • Professional development and career advancement opportunities
  • Opportunity to lead teams on complex, innovative customer projects
  • Performance-based cash incentive awards
  • Collaborative culture and knowledge sharing
  • Exposure to cutting-edge data engineering and AI technologies