Jobs · Business Development

Account Executive

Pantomath · San Francisco, CA · 5 mo ago
RemoteRemoteBusiness Development$100k–$300k/yrFull-time

About the role

The Account Executive is responsible for developing, managing, and closing strategic deals within enterprise-level accounts. This role requires a consultative approach to solution selling, with a focus on understanding complex client environments, engaging C-level stakeholders, and positioning Pantomath's platform as a critical solution to their data challenges.

Key Responsibilities

  • Identify, qualify, and close new business opportunities with enterprise customers.
  • Develop strategic relationships with key decision-makers, including CIOs, CTOs, and CEOs.
  • Leverage best-of-breed outbound/lead generation techniques and automation to uncover new opportunities and potential customers.
  • Conduct in-depth discovery to understand customer challenges and align solutions accordingly.
  • Deliver high-impact presentations and product demonstrations tailored to executive audiences.
  • Manage and advance opportunities through the full sales lifecycle, from prospecting to negotiation and close.
  • Collaborate with internal teams including Solutions Engineering, Product, and Customer Success to ensure smooth handoffs and long-term customer value.
  • Work directly with partners to uncover new opportunities and derisk current deals in pipeline.
  • Maintain up-to-date and accurate forecasts, activities, and insights in CRM tools.
  • Represent the company at industry events, customer meetings, and relevant field opportunities.

Qualifications

  • Education and Experience
    • Bachelor’s degree in Business, Marketing, or a related field.
    • 5+ years of enterprise software sales experience, preferably in SaaS or data infrastructure.
    • Proven success managing complex deals ($100K–$300K ACV) and navigating long sales cycles.
    • Strong technical background and demonstrated experience working in data-driven environments, with the ability to understand customer data architectures, technical requirements and integrations.
    • Comfortable leading technical conversations with data, engineering and IT stakeholders, and translating complex technical concepts into business value.
  • Skills and Competencies
    • Exceptional executive presence and ability to engage at the C-suite level.
    • Strong consultative selling, presentation, and negotiation skills.
    • Self-driven, detail-oriented, and organized with the ability to manage multiple opportunities.
    • Established intellectual agility to navigate technical conversations with data teams, translating complex solutions into business value for prospects.
    • Experience embedding MEDDPICC, Command of the Message, Challenger Sale or similar methodologies into the sales cycle.
    • Adept at using CRM tools and sales enablement platforms.

Equal Opportunity & Accommodations

Pantomath is proud to be an Equal Opportunity Employer. Employment decisions are made without regard to legally protected characteristics and are based on qualifications, merit, and business needs. We are committed to providing reasonable accommodations to qualified individuals — whether during the application and interview process or throughout employment. To request an accommodation, please contact Human Resources.

FLSA Compliance Statement

This position is classified as Exempt under the Fair Labor Standards Act (FLSA), meaning it is not eligible for overtime compensation. This classification is based on responsibilities involving advanced technical expertise, leadership, and independent problem-solving.

About Pantomath

Pantomath is an automated data operations platform that addresses the challenges organizations face with data reliability, where manual, time-consuming processes and reliance on tribal knowledge often hinder effective problem resolution. By automating data monitoring and impact analysis, Pantomath streamlines operations and improves data confidence, quality, and reliability. Enterprises using Pantomath significantly reduce mean time to acknowledgement, mean time to root cause, and mean time to resolution of all data issues across their entire data ecosystem.

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