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 achieve

We 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 Ownership

• Drive domain-level initiatives: Lead multi-quarter, cross-team technical initiatives that reshape how we build and evolve industrial user experiences across CDF—setting technical direction, sequencing, risk management, and success metrics.
• Architect for long-term velocity: Establish and evolve reusable “golden paths” (micro-frontend boundaries, shared UI/data frameworks, platform abstractions) and drive adoption through reference implementations and migrations that reduce coupling and accelerate delivery for multiple teams.
• Own domain-level system integrity: Define and drive reliability, performance, accessibility, and operational excellence across the Industrial Experiences frontend domain (SLIs/SLOs, error/performance budgets, monitoring/alerts, incident learnings → systemic fixes).

The Impact you bring to Cognite

• AI-first product architecture: Define scalable UI and data patterns for surfacing AI-generated insights with trust (validation, provenance/source attribution, uncertainty/explanations, feedback loops), and ensure these patterns are adopted consistently across teams.
• Solve ambiguous, high-impact problems end-to-end: Turn unclear problem spaces into durable frontend architectures with explicit trade-offs across reliability, cost, speed, and developer experience.
• Raise the bar across the domain: Improve technical quality and developer velocity through standards, tooling, testing strategy, performance budgets, and pragmatic governance (RFCs, design/architecture reviews, deprecations and migrations).
• Multiply other engineers: Mentor and develop senior engineers, grow technical leadership capacity, act as a trusted advisor to Product/Design/Engineering leadership, and align stakeholders on architectural direction and execution sequencing.

Required Qualifications

• Expert-Level Frontend (React + Typescript): Deep (typically 8-10 years+) experience designing and evolving large-scale frontend systems.
• Technical leadership + mentorship: Proven ability to raise the bar across a domain by mentoring senior engineers, scaling best practices, leading by influence, and shaping engineering culture.
• Performance and scale: Strong history optimizing complex UIs (high-throughput visualization, perceived performance, low-latency interaction) and establishing performance budgets/guardrails.
• Product + stakeholder influence: Ability to align Product, Design, and Engineering around a technical direction, negotiate trade-offs, and drive execution without relying on formal authority.
• Data model interoperability: Experience making UI and state/data layers robust across standardized APIs (e.g., GraphQL/REST), including caching, consistency, and evolvable contracts.
• Full-stack knowledge: Experience collaborating across frontend, backend, and platform layers to deliver end-to-end capabilities (APIs, data flows, reliability, and developer ergonomics).

Preferred Experience

• Data modeling knowledge: Strong understanding of domain/data modeling and how data contracts evolve (schemas, relationships, semantics, versioning) and how those choices impact UI architecture and state/data management.
• Spearhead AI-assisted development: Drive adoption of AI-assisted development workflows that improve delivery speed and quality (prototyping, refactoring, test generation, code review support), while also contributing to AI-powered product experiences.

A snapshot of our many perks and benefits as a Cogniter