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Sr. Director of Software Sales - Life Sciences

Honeywell

$229,000 - $286,000
Nov 4, 2025
Township of Hamilton, NJ, US
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Honeywell is looking to solve the problem of driving revenue growth across diverse markets in the life sciences industry by leading the global commercial strategy and integrating AI-driven insights.

Requirements

  • Strong knowledge of end-to-end manufacturing operations in life sciences, from process development to commercial scale-up
  • Demonstrated knowledge of quality systems and regulatory frameworks (e.g., GMP, ISO)
  • Experience using CRM tools for data analysis to ensure informed decisions and sales strategies are made
  • Strong grasp of digital transformation, AI applications in sales
  • Understanding of products like: QMS, MES, DCS, SCADA and Building Automation
  • Marketing strategy and demand generation experience
  • Proven ability to lead and scale sales initiatives in a SaaS environment, including go-to-market strategy and customer lifecycle management

Responsibilities

  • Develop and execute a comprehensive software revenue strategy aligned with corporate goals.
  • Own the global revenue forecast and deliver predictable growth across all channels.
  • Drive alignment across sales, marketing, and customer success to optimize the customer lifecycle.
  • Implement best-in-class sales processes, tools, and performance metrics.
  • Expand into new markets and verticals through strategic planning and execution.
  • Oversee marketing strategy to build brand awareness, generate qualified leads, and support sales enablement.
  • Champion customer success to maximize retention, expansion, and satisfaction.

Other

  • 10+ years of software sales experience within the life sciences industry
  • 5+ years of global sales leadership experience supporting the life sciences, biotech or pharmaceutical end clients
  • Bachelor's Degree in Business, Life Sciences, or a related field
  • Ability to travel internationally and engage with global teams and customers
  • Excellent analytical skills and a data-driven approach to decision-making