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 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.

How you’ll demonstrate Ownership

The Impact you bring to Cognite

What You'll Do

• We expect all our Enterprise Solution Architects to be hands-on in python as well as a good hands-on expertise with software development best practices.
• Open to travel.
• You must be highly organized, thorough, and communicate well with all stakeholders.
• Take ownership and drive tasks independently
• You will be required to collaborate, lead, and coach, as well as work independently.

Required Qualifications

• 8+ years of experience working as a Software Engineer/Data Engineer/Machine Learning Engineer
• Technical background, willing and able to dive in and contribute code for advanced topics when needed

Preferred Experience

• Experience from domains like Manufacturing, Energy, O&G, Pharma, Life sciences is preferred

How you’ll demonstrate Ownership

What You’ll Do

• AI-driven forecasting and pipeline health
• Own the cadence for forecasting and pipeline calls using Clari. While the VP sets the overall strategy, you are responsible for data accuracy and ensuring clear prioritization.
• Use AI tools (e.g. Clari, Claude Code, Gemini) to generate rolling, real-time forecast scenarios and continuously monitor and score pipeline health.
• Turn real-time, AI-scored deal data into clear narratives for executive leadership, proactively highlighting risk and helping to mitigate forecast variances well ahead of quarter-end.
• Territory management
• Lead the territory setting process by defining criteria for geographic and vertical assignments.
• Ensure each representative has a fair, data-driven path to achieving quota.
• Funnel, market, and deal analytics
• Build and maintain models that show how field activities convert to revenue.
• When a territory underperforms, analyze contributing factors and refine the model and recommendations accordingly.

The Impact you bring to Cognite

• You foster a culture of shared responsibility by leading complex projects across multiple teams.
• You influence team goals by propelling department-wide goals and motivating cross-functional teams.
• You solve complex, ambiguous problems independently by pushing boundaries and designing new ways of operating.
• Executive Presence: You command the room when presenting to senior leaders, turning raw data into high-conviction narratives that drive immediate action.
• Strategic Growth Mindset: You don’t just report on the past; you build predictive models that identify the next $100M opportunity within our existing customer base.
• Change Management: You excel at navigating a fast-scaling organization, bringing global teams along as you implement new, AI-integrated workflows.

To align with Cognite’s hub strategy, this role is based in Houston, Phoenix, or Boston.

You will support global teams across multiple time zones. Depending on business needs and the quarter's stage, extended hours beyond the normal business day may be required. Evening and/or weekend work may be needed occasionally.

Required Qualifications

• 7–10 years of experience in Revenue Operations or Sales Operations, with a proven track record of scaling core revenue processes in a high-growth SaaS environment.
• Expert-level proficiency in the Revenue Tech Stack: Salesforce, Clari, and a demonstrated ability to use AI tools (e.g., Gemini, Claude) for deep-dive analysis and automation.
• Global Operational Experience: Proven ability to manage complex territory and commission structures across multiple international regions.

Preferred Experience

• Data Visualization Mastery: Experience with Power BI or similar tools to build executive-level dashboards that visualize the end-to-end "Land-to-Expand" funnel.
• Industrial Domain Knowledge: Familiarity with the digital transformation needs of heavy assets industries (Oil & Gas, Manufacturing, Power & Utilities).
• Advanced Degree: MBA or equivalent experience in a highly analytical field.

A snapshot of our many perks and benefits as a Cogniter