Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonRealm
About the role
- 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 into clear, actionable product requirements.
- 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; mentor other Field Engineers and share insights to enhance team effectiveness.
Requirements
- Extensive experience (5+ years) in solution architecture, field engineering, or technical presales roles, ideally in enterprise SaaS, cloud platforms, or industrial software.
- Education or experience in the energy space (e.g., petroleum, chemical, mechanical, control systems engineering).
- Experience in Python.
- Knowledge of services and architectures provided by hyperscalers such as Azure, AWS and GCP.
- Strong client-facing skills; experience building trusted relationships with technology partners, enterprise clients, and internal stakeholders.
- Expertise in industrial data, OT/IT convergence, and data integration patterns.
- Good understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security, and governance in cloud and hybrid environments.
- Demonstrated ability to lead technical validations and solution accelerators.
- Experience working closely with product and engineering teams, providing field feedback to shape product development.
- Strong communication, presentation, and influencing skills; ability to translate technical concepts into business value.