Key Skills

Job Description

What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. 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 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. 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. 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, with the 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 — particularly in cloud and hybrid environments. Preferred Qualifications Education or practical experience relevant to our key industry focus areas. (E.g. petroleum engineering, chemical engineering, mechanical engineering, control system engineering, process engineering, etc.) 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. Learn More About Us Impact 2025 Cognite's Industrial AI: Moonshot We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Equal Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Core Responsibilities

Build trusted technical relationships with enterprise clients, develop and demonstrate scalable Cognite Data Fusion solutions, and support customer adoption and expansion. Partner with sales, field engineering, product, and engineering teams to shape opportunities, provide technical guidance, relay customer feedback, and promote best practices.

Requirements

Requires at least five years of experience in solution architecture, field engineering, or technical presales/postsales, hands-on Python and software development practices, and expertise in industrial data, OT/IT convergence, and integration architecture. Strong client-facing communication skills are required; relevant industry experience, hyperscaler knowledge, and experience leading technical validations are preferred.