What You'll Do
- Architect with Impact: Work with central customer IT teams to align on a target architecture for CDF across their enterprise and ensure fit within their ecosystem.
- Collaborate Across Pre-Sales and Field Engineering: Partner with Field Engineering and Solution Architects during pre-sales to ensure technical continuity into deployment.
- TAMs provide customer context and future-state alignment to help accelerate early value realization and ensure a strong post-sale handover.
- Deploy with Confidence: Guide secure solution deployments (IAM, networking, data pipelines), ensuring alignment with Cognite best practices and supportable design.
- Drive Value Realization: Partner with Customer Success, Services Delivery, and Value Engineering to align architecture and use case roadmap with customer business goals.
- Support Scalable Adoption: Co-develop adoption programs, facilitate end-user feedback loops, and support Enablement in scaling best practices across accounts.
- Identify and Surface Expansion Opportunities: Act as a trusted advisor who understands the customer's evolving needs and business priorities. While not responsible for direct sales, TAMs play a critical role in identifying new use cases and scaling opportunities that Customer Business Executives (CBEs) can engage on commercially.
- Catalyze Expansion: Provide technical insight to Account Management and CBEs to accelerate and de-risk expansion and renewal opportunities.
- Activate Partners: Collaborate with Solution Partners and validate technical quality of partner-delivered solutions for your assigned accounts.
- Close the Feedback Loop: Be the voice of the customer to Product and Engineering; especially around product limitations, roadmap priorities, and repeatability.
- Champion Cognite Culture: Model curiosity, empathy, and speed in cross-functional collaboration to bring out the best in our teams and our customers.
Who You Are
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.5–12+ years of experience (TAM / Director level) in roles such as solution architect, data engineer, software developer, or enterprise architect.
- Deep technical understanding of enterprise integration patterns, cloud architecture, data platforms, identity management, and networking security.
- Hands-on experience with tools like Git, CI/CD pipelines, deployment automation, and DevOps workflows.
- Strong familiarity with industrial source systems, time-series data, OT/IT integration; especially in O&G, Manufacturing, or Power & Utilities, preferred.
- Demonstrated ability to engage and coach technical stakeholders across seniority levels with credibility and clarity.
- Experience facilitating technical workshops, co-design sessions, and escalation management with enterprise customers.
- Comfortable operating in matrixed, fast-moving SaaS environments where shared success and trust are key currencies.
Traits that will help you be successful:
- You are structured, detailed, and value operational excellence.
- You embrace a DevOps mindset and believe in scalable, supportable design.
- You take initiative and follow through on commitments.
- You believe in shared success and bring positive energy to collaboration.
- You are passionate about Cognite’s mission — and want to be part of a team that’s building something bold.
- You want to have fun while delivering world-class outcomes.
Education
- Bachelor Degree in Computer Science, Data Engineering, Technology or similar (Masters preferred)
Top Skills
What We Do
Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies.
We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis.
We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.
Why Work With Us
Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.
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