Key Account Executive

About Backstory Backstory (formerly People.ai) is the leading AI answers platform for sales teams. With more than a decade of training AI models on billions of sales interactions Backstory enables modern sales teams to ask questions and get the right answer in the moment directly within their existing AI workflows. Sales leaders from companies like Red Hat Five9 Palo Alto Networks Iron Mountain TransUnion Randstad and others rely on Backstory to get trusted answers wrapped in real business context helping them orchestrate deals more effectively and drive revenue. By connecting every signal to the right accounts and opportunities Backstory shows teams exactly what is happening and what to do next. Customers across industries including enterprise cybersecurity data and analytics and defense use Backstory to drive trillions in pipeline and revenue. Recognized by Gartner and Forrester the Inc. 5000 Y Combinator Top Companies and the Forbes AI 50 Backstory is based in San Francisco and backed by ICONIQ Capital Andreessen Horowitz Lightspeed Venture Partners Akkadian Ventures and Mubadala Capital.

The Role

As a Key Account Executive you will partner with Fortune 500 executives to solve complex go-to-market challenges leading strategic sales cycles from discovery through close. You'll collaborate cross-functionally with internal teams to deliver value-based solutions navigate sophisticated buying committees and drive predictable revenue growth. As a key member of a high-performing team you'll help shape sales strategy build lasting executive relationships and contribute to the continued growth of a fast-moving high-growth company. ###

Responsibilities

Proven track record of closing high seven- to eight-figure enterprise deals with C-suite executives. Expertise in navigating complex customer buying journeys using CoMessage and CoBuyer methodologies. Skilled at selling cross-functionally building consensus across Marketing Sales Finance Operations and other executive stakeholders. Demonstrated success with value-based selling disciplined opportunity qualification and consistent execution of a structured sales process. Builds predictable pipeline through rigorous sales methodology strong qualification and accurate forecasting. Excels in team selling partnering effectively across internal functions to drive complex enterprise deals to close. Maintains a high level of activity persistence and urgency while demonstrating strong executive presence and disciplined business management. ###

Requirements

10+ years of enterprise sales experience within a software (preferably SaaS) company management consultancy (e.g. Deloitte Accenture KPMG) or related technology organization. Proven success selling into Fortune 500 enterprises navigating complex organizations with multiple stakeholders across business functions. Strong technical aptitude exceptional communication skills intellectual curiosity and keen attention to detail. Outstanding relationship-building skills with the ability to establish credibility and serve as a trusted advisor to executive buyers. Experience partnering with or selling to Sales and Marketing Operations teams is strongly preferred. Familiarity with modern Sales and Marketing technology stacks (CRM RevOps Marketing Automation etc.) is preferred. Thrives in a fast-paced high-growth startup environment demonstrating adaptability ownership and comfort with ambiguity. Headquartered in San Francisco CA Backstory is backed by Y Combinator and Silicon Valley’s top investors including ICONIQ Capital Andreessen Horowitz Lightspeed Venture Partners Akkadian Ventures and Mubadala Capital. Backstory is listed in the top 20 percent of Inc 5000 companies is a regular leader in our key categories on G2 and is on the Forbes list of America’s Best Startup Employers. For more information please visit www.Backstory.ai. - Regular employees may be eligible for commissions or bonus programs (target included in OTE) equity and benefits. The range is subject to change. Backstory takes into wide range of factors when determining an individual’s pay. These factors can include skill set training and experience licensure and certifications and location and metropolitan area. 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.