Chief Revenue Officer
Eagle Search is partnered with a fast-growing, venture-backed AI life sciences scale-up that is seeking an exceptional Chief Revenue Officer to lead the global commercialisation of its software platform.
Our client is an AI-native technology company transforming the way pharmaceutical and biotech organisations discover and design new medicines. The business has built a proprietary AI platform that brings together foundation models, biological and chemical data, and intuitive software to help R&D teams design better drug candidates, run fewer experiments and move programmes forward with far greater speed and confidence.
Already trusted by a growing number of global pharma and biotech customers, the company is entering a pivotal phase of commercial scale-up. It brings together world-class talent in machine learning, software engineering and drug discovery to change how R&D organisations work, moving from bespoke, project-based collaborations towards scalable platform adoption across the industry.
The Opportunity:
They are looking to appoint a Chief Revenue Officer to play a pivotal role in scaling revenue and establishing the platform as the standard for AI-enabled drug discovery.
This is a high-impact leadership position with responsibility for building and executing the go-to-market strategy across sales, partnerships and customer success. The role will grow recurring revenue, expand enterprise accounts and develop scalable commercial models that combine software subscriptions with strategic partnerships.
The successful individual will work closely with the CEO, founders and cross-functional teams spanning product, machine learning, science and finance. Together they will translate customer needs into product direction and turn scientific and technical differentiation into predictable, sustainable growth.
The Ideal Person:
- Experience working with the executive team to build and scale organisations from early commercial traction to enterprise scale.
- A track record of building and leading high-performing sales, business development and customer success teams in a high-growth environment.
- Commercial leadership experience within an AI-native drug discovery, computational biology or life science software company.
- Experience selling platform or SaaS solutions into pharmaceutical and biotech R&D, including multi-year enterprise agreements and land-and-expand strategies.
- The ability to design and evolve pricing and commercial models that blend software licensing, usage-based revenue and strategic partnerships.
- Strong commercial judgement, with a data-driven approach to pipeline, forecasting and revenue operations.
- The ability to collaborate closely with product and machine learning teams, bringing the voice of the customer into the roadmap.
- A highly consultative and strategic approach to customer engagement, rather than a purely transactional sales mindset.
- The scientific fluency, credibility and communication skills to engage confidently with heads of R&D, computational and data science leaders, and C-suite audiences.
- An entrepreneurial mindset, with the energy and adaptability to operate in a rapidly evolving business.
- A genuine interest in using AI to reshape drug discovery and bring better medicines to patients sooner.