Senior Field Engineer; Pre-Sales
Listed on 2025-12-27
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IT/Tech
AI Engineer, Systems Engineer, Cloud Computing, Data Science Manager
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of 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.
Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.
What Cognite is Relentless to achieveWe thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
How you’ll demonstrate OwnershipCognite is a global leader in industrial software, with Cognite Data Fusion® (CDF) our Industrial Data Ops platform at the core of enabling digital transformation for asset-heavy industries. Cognite Data Fusion brings all the OT, ET, and IT data into one place, making it easy to access and use. With expert guidance, AI-driven contextualization, and real-time insights, the user get a clear, connected view of their operations.
The field engineering team is responsible for all technical client and partner interactions before and during scaled solution deployments. These engagements span from early-stage discussions and technical workshops to solution scoping, proof-of-value efforts, and the design of "art of the possible" solutions that demonstrate business value and technical feasibility.
Client Engagement and Solution Development- Act as a technical liaison to key clients, establishing trusted relationships and ensuring alignment on solutions, integration architectures, and technical roadmaps.
- Collaborate closely with Account Executives and Sales teams to identify and prioritize client opportunities that drive mutual business value.
- Develop scalable, repeatable solutions adapted to specific client requirements in collaboration with internal technical teams.
- Educate clients on Cognite Data Fusion® and related offerings to support successful adoption, solution integration, and value realization.
- Develop client-focused demos, reference architectures, and solution accelerators utilized by Cognite teams and customers.
- Represent Cognite in client meetings, workshops, and technical briefings, demonstrating technical expertise and building client confidence.
- Act as a bridge between clients and Cognite’s Product organization, translating client feedback and needs into clear, actionable product requirements.
- Ensure client-integrated solutions are technically feasible, scalable, and aligned with Cognite’s broader product strategy.
- Provide continuous technical feedback and market insights from client interactions to inform product development and enhance competitive positioning.
- Partner with field engineering and sales teams to provide technical support on client opportunities, including technical account strategy, solution architecture, and use-case development.
- Serve as a technical escalation point for complex client engagements, offering guidance and assistance to the broader sales organization.
- Organize and manage client workshops and technical meetings, ensuring high-quality execution and alignment with client objectives.
- Develop and promote best practices, frameworks, and reference architectures to strengthen Cognite’s position as a leader in client-focused industrial solutions.
- Mentor other Field Engineers, sharing technical expertise and best practices related to client engagement and solution development.
- Share insights and learnings from client interactions to enhance team effectiveness and responsiveness to market demands.
- Extensive experience (5+ years) in solution architecture, field engineering, or technical presales roles, ideally in enterprise SaaS, cloud platforms, or industrial…
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