About the job
THE ROLE:
In this pivotal role, you will lead the transformation of interactions between life sciences organizations and artificial intelligence. Your mission will be to design and implement innovative AI solutions that enhance critical workflows, significantly accelerating drug development timelines. By bridging the gap between customer needs and product capabilities, you will apply cutting-edge AI models to create practical solutions that redefine industry standards.
WHAT WE ARE LOOKING FOR:
Analytical Thinkers: You possess the ability to approach challenges with a holistic mindset, accurately assessing context and translating complex customer problems into actionable deployment strategies. Your solutions consider both business impact and technical viability.
Technologically Adaptive: While you may have strong opinions about technology, you understand its trade-offs and are eager to learn new AI capabilities. You remain open to innovative methods for overcoming customer challenges.
Self-Driven and Organized: You thrive in ambiguous environments, demonstrating a knack for turning broad objectives into well-defined execution plans that create measurable outcomes.
Results-Oriented: You take ownership of the customer results you influence, ensuring high-quality deployments and measurable ROI. Accountability for outcomes is a core part of your professional ethos.
Resilient: You possess the tenacity to overcome obstacles in pursuit of customer success and widespread adoption.
WHAT YOU'LL DO:
Spearhead AI deployments with top-tier pharmaceutical and biotech companies, guiding projects from initial pilot phases to full-scale adoption.
Hands-on configuration and customization of AI Assistants and Agents within the platform to ensure clear, quantifiable value delivery.
Serve as a strategic advisor on AI implementation within regulated environments, addressing change management, governance, and compliance issues.
Collaborate closely with Engineering and Product teams to translate customer needs into actionable product requirements.
Develop scalable deployment playbooks and best practices to facilitate successful implementations.
Establish requirements, assess outputs, and validate success criteria for new Agent builds in partnership with customers.

