Overview
In this role you drive growth within the Life Sciences portfolio by selling SAS software, solutions and services to strategic accounts. You’ll partner with the Global Account Manager to uncover needs, map accounts, and move opportunities through the sales cycle. Based in the UK with hybrid work, you’ll learn from industry leaders and turn complex data challenges into practical AI-enabled solutions. You’ll collaborate across pre-sales and delivery teams to quote, contract, and deliver value, while expanding customer relationships. This is a growth-focused, impact-driven position in a world-class analytics environment.
Pay / Benefits
- competitive salary package
- fringe benefits including car allowance
- hybrid work model
- energizing and flexible environment
- growth opportunities
- inclusive culture
Responsibilities
- Sell software, solutions and services to assigned territory, collaborating with sales/pre-sales and domain teams
- Prospect within territories to uncover business needs and identify high-potential opportunities
- Manage territory and accounts: qualify, advance opportunities, forecast close dates
- Coordinate with pre-sales and executives for timely responses to qualified opportunities
- Prepare quotations and proposals; collaborate to finalize contracts and delivery timelines
- Follow up post-sale to ensure satisfaction and uncover additional revenue opportunities
- Develop understanding of pricing, licensing, and approvals processes
- Travel as needed and support other duties as assigned
Key requirements
- 2–3 years of experience selling complex SaaS software or IT services to business and IT stakeholders
- Experience in account mapping and navigating complex ecosystems
- Ability to work independently and in a team, and travel occasionally
- Knowledge of SaaS sales with awareness of data analytics and AI trends
- Fluent in English
- Equivalent combination of education, training and experience considered
- Customer centricity
- Relationship building
- Obstacle navigation
- SaaS solution sales
- Understanding of data analytics and AI trends
- Pricing and licensing procedures (basic)
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