What are the responsibilities and job description for the Sr. Enterprise Account Executive (Selling Scientific Data Cloud into Big Pharma) - US Remote position at SeekUp?
Senior Enterprise Account Executive (Selling Scientific Data Cloud into Big Pharma) - Remote US
Our client is a rapidly expanding and looking for an Enterprise Account Executive to join their sales team and drive growth in key markets. In this role, you’ll introduce prospective clients to the value of their innovative Scientific Data Cloud. Your responsibilities will include building and managing a sales territory, developing strategic account plans, driving large-scale acquisition efforts, and guiding accounts through the entire sales cycle. As part of this team, you’ll also oversee engagement strategies for focus accounts, ensuring exceptional collaboration and a customer-first approach. This role is ideal for a results-driven individual with a passion for cutting-edge data solutions and the ability to articulate the value of platforms that enable data ingestion, harmonization, orchestration, and advanced analytics like AI/ML. They believe collaboration fuels success. You’ll work closely with supportive teams across the company to exceed your goals and achieve success together
Responsibilities
Our client is a rapidly expanding and looking for an Enterprise Account Executive to join their sales team and drive growth in key markets. In this role, you’ll introduce prospective clients to the value of their innovative Scientific Data Cloud. Your responsibilities will include building and managing a sales territory, developing strategic account plans, driving large-scale acquisition efforts, and guiding accounts through the entire sales cycle. As part of this team, you’ll also oversee engagement strategies for focus accounts, ensuring exceptional collaboration and a customer-first approach. This role is ideal for a results-driven individual with a passion for cutting-edge data solutions and the ability to articulate the value of platforms that enable data ingestion, harmonization, orchestration, and advanced analytics like AI/ML. They believe collaboration fuels success. You’ll work closely with supportive teams across the company to exceed your goals and achieve success together
Responsibilities
- Drive adoption and expansion of their Scientific Data Cloud among enterprise customers.
- Manage the entire sales process, from identifying prospects and qualifying opportunities to closing deals.
- Identify new opportunities with current clients and within target accounts.
- Maintain accurate sales forecasts and deliver pipeline updates with clear insights into revenue potential and performance.
- Collaborate with cross-functional teams—legal, engineering, marketing, and product—to streamline complex sales cycles.
- Deliver compelling presentations to stakeholders, including technical and executive audiences (e.g., scientists, IT leaders, CDOs, and VPs).
- Represent the company at client meetings and industry events to build relationships and promote their solutions.
- At least 7 years of experience in a sales role focused on cloud data or life sciences software.
- Proven track record in enterprise sales, including closing $1M SaaS deals and growing accounts to multimillion-dollar opportunities.
- Strong understanding of the entire sales cycle, from prospecting and lead qualification to negotiation and closing.
- Expertise in translating complex technical solutions into value for enterprise clients, particularly in areas like data integration, AI/ML readiness, and analytics.
- Familiarity with modern sales methodologies (e.g., MEDDIC, Challenger Sales) and tools (e.g., Salesforce, LinkedIn Navigator).
- Excellent organizational and time management skills, with a focus on delivering accurate forecasts.
- Outstanding communication and relationship-building skills, with a customer-centric approach.
- Experience in biotech, life sciences, or pharmaceuticals is highly advantageous.
- A passion for innovation and the drive to excel in a fast-paced, dynamic environment.
- Professional and/or Collegiate Life Science experience in a lab for either R&D, Drug Manufacturing/Discovery, Clinical Trials, Instrumentation, etc.
