About The Position

We are seeking a hands-on business leader to operate and scale a B2B SaaS business unit serving the clinical trial space. This role combines full P&L ownership with responsibility for operational excellence, customer delivery, organizational effectiveness, and AI-driven transformation. The successful candidate is an operator first. They have built and improved systems, streamlined organizations, implemented automation, and driven measurable business outcomes. They are comfortable moving between executive-level decision-making and detailed operational execution. This leader will partner closely with Product, Engineering, Professional Services, Customer Success, and Finance to improve business performance while building a more scalable, AI-enabled operating model.

Requirements

  • 8+ years of leadership experience in software or SaaS businesses.
  • Proven experience leading operational functions such as Professional Services, Customer Operations, Customer Success, Operations, Business Operations, IT, Delivery, or similar.
  • Demonstrated ownership of budgets, business performance metrics, or P&L responsibilities.
  • Experience implementing automation, systems improvements, or AI-enabled workflows.
  • Track record of driving measurable productivity improvements and operational efficiencies.
  • Strong analytical and financial acumen.
  • Experience leading cross-functional initiatives across technical and business teams.

Nice To Haves

  • Experience in life sciences, clinical research, healthcare technology, regulatory software, or adjacent industries.
  • Experience in private-equity-backed software companies.
  • Familiarity with modern AI tooling, workflow automation platforms, and data-driven operating models.

Responsibilities

  • Own business unit financial performance, including revenue, gross margin, operating costs, and profitability.
  • Develop and execute operating plans that balance customer outcomes and operational efficiency.
  • Refine performance metrics and accountability across functions.
  • Lead the adoption of AI and automation across customer-facing and internal workflows.
  • Identify opportunities to eliminate manual processes, reduce organizational complexity, and increase productivity.
  • Champion an AI-first mindset across teams.
  • Establish measurable targets for productivity gains and operational leverage.
  • Improve delivery quality, utilization, scalability, and customer satisfaction.
  • Build repeatable processes that reduce dependency on individual contributors.
  • Drive continuous improvement through data, process redesign, and technology.
  • Align Product, Engineering, Customer Success, Professional Services, and Operations around common business goals.
  • Translate strategic priorities into operational execution.
  • Remove bottlenecks and improve organizational effectiveness.
  • Lead business reviews and operating cadences.
  • Build high-accountability teams focused on outcomes.
  • Coach managers and develop future leaders.
  • Foster a culture of ownership, transparency, continuous improvement, and experimentation.
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