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Sales Application Engineer

Application EngineerApplication EngineerOtherRemoteMid LevelTeam 10,001+Since 1919H1B No SponsorCompany SiteLinkedIn

Location

District of Columbia + 2 moreAll locations: District of Columbia | New Jersey | New York

Posted

100 days ago

Salary

$95.6K - $129.5K / year

Seniority

Mid Level

Bachelor Degree2 yrs expEnglish

Job Description

Sales Application Engineer

Cummins Inc.

• Accelerate pipeline growth by cultivating high-trust relationships with architects, engineers, contractors, OEMs, dealers, and channel partners. • Surface and route qualified deals by recognizing early buying signals. • Shape specs and purchasing decisions by aligning solutions to project needs. • Be the go-to technical/business resource for Key Influencers. • Drive account strategy and execution by building Key Influencer account plans. • Expand market presence and credibility through segment and industry insight. • Inform strategic choices with market analysis and alternative technology assessments. • Uplift commercial capability by mentoring sales personnel and sharing best practices.

Job Requirements

  • 2-5 years of experience required
  • Preferred locations would be NJ, NY, or DC area.
  • University or college degree in the field of engineering, or an acceptable combination of education and experience.
  • Experience in technical sales, application engineering or project management desirable.

Benefits

  • Excellent communication skills with the ability to tailor complex technical information to diverse audiences.
  • Strong relationship-building and influencing skills to earn trust and gain stakeholder alignment.
  • Strategic planning abilities—able to prioritize work, manage account plans, and align sales efforts with business goals.
  • Proven experience explaining and demonstrating product value to customers, integrating their perspectives into sales strategies.
  • Deep understanding of channel dynamics, pricing alignment, and market structure to drive competitive positioning.
  • Skilled in forecasting, managing pipeline health, and adjusting strategies based on data-driven insights.

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