Manager – Sales Engineering
UiPath
Manager – Sales Engineering
UiPath
Automates business processes with RPA software
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
The Manager, Sales Engineering – Life Sciences leads and develops a team of Sales Engineers who act as strategic and technical advisors to life sciences prospects and customers. This role combines people leadership with deep industry and platform expertise, ensuring the team demonstrates how automation and AI can transform regulated, complex business processes across pharma, biotech, medtech, and related life sciences organizations. The manager partners closely with sales, product, and customer success leadership to build a high-performing, industry-credible pre-sales function.
Lead, coach, and grow a team of Sales Engineers focused on the life sciences vertical, setting priorities and holding the team to a consistent standard of technical and industry credibility
Partner with sales leadership to build account and territory strategy, allocate SE coverage, and identify growth opportunities across life sciences accounts
Ensure the team delivers high-quality, industry-specific demonstrations and proof-of-value engagements that show how automation and AI improve regulated business processes
Personally engage on strategic or complex deals as a player-coach, including executive-level conversations and technical architecture discussions
Drive consistency in discovery methodology so the team can quantify business value and uncover automation opportunities across accounts
Represent the life sciences SE team in cross-functional planning with Product, Engineering, Marketing, and Customer Success, feeding field insights back into the roadmap
Champion best-practice sharing across the broader go-to-market organization and represent the life sciences point of view in company-wide SE initiatives
Recruit, hire, and onboard Sales Engineers with life sciences domain expertise, building bench strength ahead of pipeline growth
Set individual and team goals, conduct regular 1:1s, and manage performance including coaching plans and, where needed, corrective action
Own capacity and coverage planning across accounts and deals, balancing workload and career development opportunities
Develop enablement and certification plans so the team stays current on the platform, AI capabilities, and life sciences regulatory and compliance context (e.g., GxP, validation requirements)
Create a feedback loop with the team to surface product gaps and competitive intelligence specific to life sciences
Foster a collaborative, inclusive team culture and support career progression paths for Sales Engineers
Required Qualifications
Demonstrated industry domain knowledge in the life sciences vertical (pharma, biotech, medtech, or CRO environments)
Technical architecture skills sufficient to guide the team through complex, regulated solution designs
Track record partnering with sales leadership on account strategy and deal support with Global 2000 enterprises
Strong coaching, hiring, and performance-management skills
Excellent executive communication skills, able to represent the team with customers, partners, and internal leadership
Background in consulting, sales engineering, or automation programs
Willingness to travel up to 25% annually
Prior experience managing or leading a team of Sales Engineers, solutions consultants, or technical pre-sales professionals
Prior individual-contributor experience as a Sales Engineer or Solution(s) Engineer selling into life sciences accounts
Experience scaling a pre-sales team through a period of growth
Familiarity with agentic automation, RPA, and AI/ML-driven process transformation
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Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
UiPath creates software that helps businesses automate repetitive tasks using robotic process automation (RPA). Its products design AI-driven workflows, run bots, and manage automation in the cloud or on-premises. Customers license the software or subscribe to cloud services, receive professional support, and can access a marketplace of third-party integrations to extend the platform. The system works by letting users build and deploy automation workflows that coordinate across different applications, with a central orchestrator to schedule and monitor bots in real time. What sets UiPath apart is its large and growing ecosystem, extensive integrations, and scalable cloud-based orchestration that supports enterprise deployments across many industries. The goal is to reduce operating costs and raise productivity by expanding automated processes throughout organizations.
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