Jobs · Business Development

Client Executive (Telecommunications)

Pegasystems · Seattle, WA · 1 mo ago
RemoteRemoteBusiness DevelopmentFull-time

About the role

As a Client Executive at Pega, you will lead enterprise sales engagements that help global brands apply AI to reimagine how their most critical work gets done, deliver predictable outcomes with predictable costs, and evolve their operations without breaking what works. You’ll work with clients to turn AI’s potential into decisions and processes they can trust at scale.

In this senior enterprise software sales role, you will develop client relationships in both new and existing buying centers. Success is defined by how you think, listen, and lead. Top performers stand out through curiosity, strong discovery, prospecting instincts, compelling storytelling, business orchestration, and the ability to lead multi-level decision makers through ambiguity.

Responsibilities

  • Lead a cross-functional Client Growth team across the enterprise sales cycle.
  • Open new buying centers via proactive hunting within strategic accounts; adapt and own deal strategy end-to-end with support from adjacent teams.
  • Story-tell connecting business challenges to clear, measurable outcomes.
  • Orchestrate and influence internal cross-functional teams as well as co-sell via ecosystem partners.
  • Translate client challenges into market insight that informs Pega’s go-to-market and product evolution.
  • Demonstrate accountability and adaptability with a growth mindset, embracing new ideas to improve results for Pega and clients.
  • Own and advise C-level executives on digital transformation while shaping industry conversations through thought leadership.
  • Drive Pega’s most strategic client transformation initiatives, build executive networks, and lead prospecting—owning the full sales cycle from pipeline creation to close.

Requirements

  • 5+ years of experience in enterprise software, AI, workflow, or platform sales.
  • Track record of adapting your sales approach to differing client contexts.
  • Adept at credibly discussing a client’s AI architecture.
  • Proven success leading and closing complex, multi-stakeholder enterprise deals, including shaping opportunities from early discovery, proactive prospecting through execution.
  • Proven success hunting and prospecting into large, multi-complex environments looking to expand upon an existing software base or entirely into a greenfield business line.
  • Credibility with C-suite leaders, partners, and ecosystems to land and expand enterprise change.
  • Evidence of influencing outcomes without relying on brand recognition or legacy relationships.

Skills

  • Senior consultative enterprise seller who thrives in ambiguity.
  • Builds trust quickly with executive stakeholders and converts strategy into action.
  • AI-curious with enough technical fluency to be credible in modern enterprise conversations—relationship selling alone is not enough.
  • Engages meaningfully on topics including AI, workflow, and platform architecture.
  • Outcome-driven and leans into a growth mindset by being commercially sharp and motivated to solve real business problems at scale.
  • Pivots quickly and is always prepared, comfortably leading executive briefings, client workshops, internal presentations, or deal reviews.
  • Operates with a team-first mindset, is highly accountable, and consistently elevates those around you.

Benefits

  • Gartner and Forrester Analyst acclaimed technology leadership in a massive emerging market.
  • AI-first and growth-mindset organization investing in and future-proofing the skills and experiences of our workforce.
  • The world’s most innovative organizations as reference-able clients.
  • Fast-paced, exciting, collaborative, and rewarding sales environment with a strong recognition culture.
  • Competitive salary, uncapped commission targets, and Pega equity.

Pay

Base salary range for this role is $131,200 – $199,900 USD annually. This role may also be eligible for annual bonus or commission, as well as benefits and other incentives. The final compensation will be determined during the offer process based on the candidate's education, experience, skills, and qualifications, as well as market conditions.

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