Senior Account Executive

Qeexo, Co.•Pittsburgh, PA

23d

About The Position

The Senior Account Executive is a strategic sales leader responsible for driving sustained revenue growth through the acquisition, expansion, and retention of high-value and complex customer accounts. Serving as a primary point of contact for enterprise or strategic customers, this role leads sophisticated sales cycles, aligns advanced technical solutions to customer business objectives, and builds long-term partnerships. Responsibilities include managing key accounts, expanding revenue within existing relationships, coordinating cross-functional teams, and supporting large-scale negotiations. Success in this role requires deep sales expertise, strong executive-level communication skills, a high degree of autonomy, and the ability to thrive in a fast-paced, innovation-driven environment.

Requirements

Bachelor’s degree in related field. BA/BS degree or equivalent combination of education and extensive relevant experience.
7+ years of successful B2B sales experience, including complex, full-cycle sales and strategic account ownership.
Proven experience selling large-scale or high-value projects to enterprise, industrial, or global customers.
Demonstrated success selling to C-level executives and senior business stakeholders.
Consistent, documented history of achieving and exceeding revenue targets and managing complex sales cycles.
Advanced proficiency in consultative, value-based, and strategic sales methodologies.
Strong commercial acumen with the ability to align complex technical solutions to customer business objectives and ROI.
Exceptional written and verbal communication skills with the ability to influence at the executive level.
Highly skilled in delivering strategic presentations and leading discussions with senior decision-makers and cross-functional stakeholders.
Highly self-directed, confident, and resilient in managing complex and long sales cycles.
Strategic thinker with the ability to solve ambiguous business challenges and navigate organizational complexity.
Demonstrates ownership mindset, strong accountability, and leadership presence.
Maintains urgency and focus while balancing short-term results with long-term customer relationships.
Strong understanding of AI- and machine-learning-based solutions and customer use cases.
Quickly synthesize technical and business information to support sophisticated solution positioning.
Advanced proficiency with CRM systems, forecasting tools, and digital collaboration platforms.
Strong PC and Internet skills, including proficiency in Microsoft Office, Outlook, CRM tools, and web presentation platforms (e.g., Zoom).
Ability to inspire confidence in clients and internal teams.
Skilled at presenting ideas and gaining buy-in from stakeholders

Nice To Haves

Experience selling solutions involving machine learning, AI, or advanced analytics is strongly preferred.
Interest and willingness to learn new topics related to machine learning and tinyML.

Responsibilities

Achieve Sales Objectives: Drive sustained revenue growth by consistently exceeding sales targets through the acquisition, expansion, and retention of strategic and enterprise-level customers. Identify, develop, and close complex sales opportunities through advanced prospecting strategies, executive-level networking, and partner relationships.
Customer Relationship Management: Build and maintain long-term, trusted relationships with senior decisionmakers at key customer accounts. Serve as the primary point of contact for complex and high-value accounts throughout the customer lifecycle.
Sales Process Management: Lead complex, multi-stakeholder sales cycles including solution alignment, executive presentations, negotiation of commercial terms, and contract closure. Oversee and guide the internal quotation and approval process to ensure accuracy, alignment, and timely delivery.
Collaboration and Technical Support: Lead cross-functional collaboration with Product, Engineering, and Customer Success teams to align advanced AI-driven solutions with customer business objectives. Demonstrate a strong understanding of machine learning applications, AI platforms, and customer-specific use cases.
Reporting and CRM Management: Maintain accurate CRM records and provide detailed forecasts, pipeline insights, and strategic updates to leadership. Take ownership of revenue forecasting accuracy for assigned territories or accounts.
Market Intelligence: Provide feedback from field experience to internal teams regarding product performance, competitive landscape, and customer needs.
Team Contribution: Actively collaborate with colleagues to achieve company objectives and share best practices.
Continuous Learning: Stay informed on industry trends, emerging technologies, and evolving customer requirements.
Operational Compliance: Operate under moderate supervision while adhering to company policies and procedures.
Other Duties: Perform other related duties and ad hoc projects as assigned to support departmental and organizational goals.
Workplace Safety: Maintain awareness of and follow all workplace safety guidelines and promote a culture of well-being.
Quality and Compliance: Ensure work is performed in accordance with established quality control and assurance processes.
Ethics and Integrity: Adhere to the company’s Values and Code of Conduct and uphold the highest standards of honesty, integrity, and ethical behavior in all business activities.