Account Director, Life Sciences
O
OpenAILife Sciences, AI
This role can be remote but New York or San Francisco office locations are preferred.Full-TimeSenior
Salary$189K - $240K; $189K – $240K • Offers Equity • Offers Commission; Eastimated Base Salary $189K – $240K • Offers Equity • Offers Commission
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Job Details
- Experience
- 14+ years
- Required Skills
- Artificial IntelligenceAccount ManagementStakeholder management
Requirements
- 14+ years selling complex enterprise software, cloud, AI, data, or platform solutions to life sciences customers
- Track record of building and growing strategic accounts across biopharma, medtech, diagnostics, CROs, CDMOs, or adjacent scientific industries
- Proven success achieving and exceeding multi-million-dollar annual revenue targets in complex, regulated enterprise environments
- Experience managing C-suite and senior stakeholder relationships across R&D, clinical, regulatory, manufacturing, medical affairs, commercial, and enterprise IT
- Strong understanding of life sciences workflows such as drug discovery, translational research, clinical development, and regulatory submissions
- Familiarity with data privacy, security, compliance, validation, GxP, and responsible AI considerations relevant to life sciences
- Demonstrated ability to create account strategy, navigate large buying committees, build executive consensus, and close complex platform or transformation deals
- Ability to translate technical AI capabilities into concrete business, scientific, and operational outcomes
Responsibilities
- Manage a focused portfolio of strategic life sciences accounts across biopharma, medtech, diagnostics, CROs, CDMOs, and life science services
- Develop long-term account plans that map OpenAI capabilities to customer priorities across R&D, clinical development, regulatory, manufacturing, medical affairs, commercial, and enterprise IT
- Lead complex, multi-stakeholder sales cycles with executives, technical leaders, scientific stakeholders, procurement, legal, privacy, security, and compliance teams
- Identify and shape high-value AI use cases such as drug discovery support, clinical trial operations, regulatory submissions, medical writing, pharmacovigilance, field enablement, and enterprise knowledge workflows
- Partner with solutions and research engineering to design pilots and deployments that demonstrate measurable business, scientific, and operational impact
- Collaborate with privacy, security, legal, and compliance partners to support responsible AI deployment in regulated life sciences environments
- Own revenue, consumption, pipeline, forecast accuracy, and expansion strategy for your accounts
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