How you’ll demonstrate Ownership

The Enterprise Field Engineering team leads the technical relationship as a customer scales beyond initial implementations and deployments into broader expansion and full enterprise-wide adoption. Enterprise Field Engineers help to validate technology fit, architect and demonstrate new use cases and support deployment and operationalization as adoption expands. They are also essential in enabling our partner ecosystem, ensuring solution integrity, and elevating the Cognite experience through feedback loops to Product and Customer Enablement. The Enterprise Field Engineering team works in close partnership with the Account Management team to grow and expand customers to enterprise scale and beyond.

The Impact you bring to Cognite

Client Engagement and Solution Development

• You act as a technical liaison to key Life Sciences and Pharmaceutical clients, establishing trusted relationships and ensuring alignment on solutions, integration architectures, and technical roadmaps to secure their willingness and confidence to scale and expand their use of Cognite Data Fusion®.
• Your close collaboration with Account Managers and Sales teams results in identified and prioritized client opportunities that drive mutual business value.

Client Education and Technical Representation

• You educate clients on Cognite Data Fusion® and related offerings, leading to successful adoption, solution integration, and value realization within strict regulatory environments.
• You develop client-focused demos, reference architectures, and solution accelerators utilized by Cognite teams and customers.
• You represent Cognite in client meetings, workshops, and technical briefings to leverage your technical expertise to build client confidence.

Internal Collaboration and Product Alignment

• You act as a bridge between clients and Cognite’s Product organization, translating client feedback and needs into clear, actionable product requirements.
• You ensure client-integrated solutions are technically feasible, scalable, and aligned with Cognite’s broader product strategy.
• You provide continuous technical feedback and market insights from client interactions to inform product development and enhance competitive positioning.

Sales and Field Engineering Enablement

• You partner with field engineering and sales teams to provide technical support on client opportunities, including technical account strategy, solution architecture, and use-case development.
• You serve as a technical escalation point for complex client engagements, offering guidance and assistance to the broader sales organization.
• You organize and manage client workshops and technical meetings, ensuring high-quality execution and alignment with client objectives.

Technical Leadership and Best Practices

• You develop and promote best practices, frameworks, and reference architectures to strengthen Cognite’s position as a leader in client-focused industrial solutions.
• You mentor other Field Engineers, sharing technical expertise and best practices related to client engagement and solution development.
• You share insights and learnings from client interactions to enhance team effectiveness and responsiveness to market demands.

Required qualifications

• Extensive experience (5+ years) in solution architecture, field engineering, or technical presales/postsales roles,ideally in enterprise SaaS, cloud platforms, or industrial software.
• Deep domain expertise in the Pharmaceutical and Life Sciences manufacturing industry, with a strong understanding of pharma-specific processes and regulations, including batch manufacturing (e.g., ISA-88), GxP compliance (GMP, GLP, etc.), Computer System Validation (CSV) / Computer Software Assurance (CSA), and CFR 21 Part 11.
• Hands-on in Python, as well as good hands-on expertise with software development best practices.
• Strong client-facing skills, with experience building trusted relationships with technology partners, enterprise clients, and internal stakeholders to co-create solutions and drive joint opportunities.
• Expertise in industrial data, OT/IT convergence, and data integration patterns specific to life sciences (e.g., connecting MES, LIMS, Historians, DCS, or SCADA to enterprise systems), with the ability to design scalable architectures.
• Good understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security,and governance — particularly in cloud and hybrid environments.

Preferred qualifications

• Education or practical experience relevant to the Life Sciences and Pharmaceuticals industries (e.g., Biochemical Engineering, Pharmaceutical Sciences, Process Engineering, Chemical Engineering, etc.).
• Demonstrated experience working with major global pharmaceutical enterprise accounts or tier-one life sciences manufacturers.
• Knowledge of services and architectures provided by hyper-scalers such as Azure, AWS, and GCP.
• Demonstrated ability to lead technical validations and solution accelerators that showcase the value of complex integrated solutions to partners and customers.
• Experience working closely with product and engineering teams, providing field feedback to shape product development and align solutions with customer and partner needs.
• Strong communication, presentation, and influencing skills, with the ability to translate complex technical concepts into business value for diverse audiences including executives, partners, and technical teams.