Principal Pre-sales Solutions Consultant (Pharma/Life Science)

The role

You will lead technical relationships for new Pharma and Life Science customers from discovery through adoption. You will build working prototypes using industrial data and AI to solve problems like tech transfer and process monitoring.

What you will do

• Act as a technical liaison to Pharma and Life Science clients.
• Move clients to live solutions through Fast AI Prototyping.
• Lead the design and implementation of industrial agents and AI-driven applications.
• Partner with Account Executives to prioritize strategic opportunities.
• Develop scalable, repeatable solutions with internal technical teams.
• Educate clients on Cognite Data Fusion and related offerings.
• Develop client-focused demos, reference architectures, and solution accelerators.
• Represent Cognite in client meetings, workshops, and technical briefings.
• Translate client feedback into actionable product requirements.
• Provide technical support and escalation for field engineering and sales teams.

Required qualifications

• 7+ years in technical presales roles, ideally in enterprise SaaS, cloud platforms, or industrial software.
• Hands-on experience in Python and working with REST APIs.
• Solid knowledge of GitHub for version control and collaborative development.
• Experience with graph databases (GraphDB) and building on graph data models.
• Hands-on experience in prompt engineering and in building agentic systems and workflows, including skills creation.
• Practical experience using AI coding tools such as Claude Code or Cursor to build and iterate on prototypes quickly.
• Strong client-facing skills to build trusted relationships with partners, enterprise clients, and internal stakeholders.
• Expertise in industrial data, OT/IT convergence, and data integration patterns.
• Ability to design scalable architectures that connect operational and enterprise systems.
• Good understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security, and governance in cloud and hybrid environments.

Nice to have

• Education or experience in Pharma, for example GxP, CPV, tech transfer, process improvement, and operational excellence.
• Knowledge of services and architectures provided by hyper scalers such as Azure, AWS and GCP.
• Demonstrated ability to lead technical validations and solution accelerators.
• Experience working closely with product and engineering teams.
• Strong communication, presentation, and influencing skills.

About the company

Cognite operates at the forefront of industrial digitalization, building AI and data solutions. They aim to unlock $100B in customer value by 2035.