Enterprise Account Executive

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Enterprise Account Executive based in United States.

This is an opportunity to play a foundational role in building an enterprise sales engine for an AI-driven data technology platform.
You will own the full sales cycle across mid-market and enterprise accounts, from pipeline generation through negotiation and close.
The role combines strategic territory planning, outbound prospecting, technical discovery, and consultative selling.
You will engage senior technical stakeholders across data engineering, cloud, DevOps, and FinOps, helping them understand the business value of modern data operations and optimization.
Working closely with SDRs, marketing, product, and leadership, you will help shape go-to-market strategies and establish repeatable sales motions.
This position is well suited to a high-performing SaaS seller who thrives in early-stage environments, embraces ambiguity, and takes ownership of outcomes.
You will have meaningful influence over revenue growth, customer adoption, product positioning, and the evolution of an emerging technology category.

Accountabilities

• Own the complete enterprise sales cycle, from prospecting and discovery through solution presentation, negotiation, and closing across mid-market and enterprise accounts.
• Drive pipeline generation throughout the U.S. through outbound prospecting, inbound opportunities, field events, and targeted account-based strategies.
• Develop and execute territory plans and strategic account maps to identify high-value opportunities and consistently build qualified pipeline.
• Conduct consultative discovery with technical and business stakeholders, understanding their challenges and connecting them with relevant solutions.
• Educate Data Engineers, Cloud Architects, FinOps teams, and other technical stakeholders on the value of AI-driven data observability, reliability, operations, and spend optimization.
• Collaborate with SDRs and Marketing to develop regional campaigns, account strategies, and go-to-market plays that generate demand and accelerate pipeline.
• Build and maintain strong relationships with multiple stakeholders throughout complex, multi-threaded enterprise sales cycles.
• Accurately manage sales activity, pipeline, and revenue forecasts using platforms such as Salesforce, Gong, and HubSpot.
• Consistently monitor deal progression, identify obstacles, and develop strategies to advance opportunities through the sales funnel.
• Provide actionable customer and market feedback to Product and leadership teams to influence roadmap priorities, positioning, messaging, and future go-to-market strategies.
• Contribute to building scalable sales processes and repeatable enterprise GTM motions in a rapidly evolving environment.

Requirements

• 6-8+ years of experience in B2B SaaS sales, preferably including at least 3 years selling to data, cloud, engineering, or related technical personas.
• Demonstrated history of exceeding sales quotas and successfully closing complex, high-value enterprise or mid-market deals.
• Strong understanding of modern data stacks, cloud infrastructure, data operations, observability, FinOps, or related technology markets.
• Experience managing complex, consultative sales cycles involving multiple technical and business stakeholders and extended decision-making processes.
• Ability to communicate sophisticated technical and business concepts clearly and persuasively to diverse audiences.
• Strong prospecting, discovery, negotiation, presentation, forecasting, and account-management capabilities.
• Excellent written, verbal, and interpersonal communication skills.
• Self-motivated, entrepreneurial, and comfortable taking ownership in an early-stage or rapidly changing environment.
• Demonstrated ability to operate effectively with ambiguity while helping build processes, sales motions, and GTM strategies from the ground up.
• Experience working collaboratively with SDRs, marketing, product, and executive leadership.
• Familiarity with CRM and sales intelligence platforms such as Salesforce, Gong, and HubSpot.
• Experience selling to Data Engineers, Cloud/DevOps leaders, or FinOps teams is highly desirable.
• Familiarity with GenAI, data observability, AI/ML infrastructure, or related technologies is a plus.
• Experience within a Seed to Series B startup environment is an advantage.

Benefits

• Competitive compensation package with uncapped commission .
• Equity participation.
• Opportunity to join a high-growth technology company backed by established investors.
• Significant ownership and autonomy in building an enterprise sales function and go-to-market motion.
• Opportunity to sell an innovative AI-driven solution addressing critical data reliability, operations, and cloud cost challenges.
• Direct exposure to enterprise customers and senior technical stakeholders.
• Close collaboration with Sales Development, Marketing, Product, and executive leadership.
• Opportunity to directly influence product strategy, market positioning, and revenue growth.
• High-impact environment with substantial opportunities for professional growth and career development.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?


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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.