Jobs at Cognite

Own strategic relationships with high-value Life Sciences and Pharmaceutical accounts. Develop account strategies, drive ARR growth, cultivate executive relationships, coordinate cross-functional teams, lead value-based enterprise sales and negotiations, realize customer value, and maintain accurate forecasts and account plans. The role requires approximately 50% client-site travel and deep understanding of regulated pharmaceutical manufacturing environments.

Develop and deploy scalable data science and machine learning solutions for industrial customers in oil and gas, manufacturing, and power utilities. Responsibilities include data cleansing, exploratory analysis, data modeling, Python-based model implementation, agentic AI development, customer workshops, solution deployment, and collaboration with data engineers, project managers, and solution architects. The role also involves customer support, mentoring, and contributing to reusable data science practices.

Owns the architecture, processes, systems, data governance, and reporting connecting Revenue, Marketing, Professional Services, Finance, and Product. The role improves funnel measurement from lead to cash and expansion, forecast accuracy, data integrity, reporting speed, and cross-functional GTM alignment. It partners with GTM Systems to design scalable automation and AI-enabled solutions while governing shared data definitions and supporting pipeline, forecast, and productivity analysis.

Build and maintain production-grade machine learning pipelines and APIs for industrial data contextualization. Responsibilities include deploying research prototypes, writing testable Python, containerizing applications with Docker, developing RESTful and gRPC services, fine-tuning NLP and vision-language models, processing large datasets, monitoring model performance, and collaborating with engineering, data science, and product teams.

Own and operate Cognite’s identity platform, including token introspection, external identity provider federation, and audit logging. Design secure, scalable services for authentication, authorization, and multi-tenancy using Rust, Kotlin, and TypeScript. Lead technical design reviews, establish testing and operational standards, troubleshoot production issues using observability data, collaborate across teams, and mentor engineers.

Administer and optimize Oracle NetSuite across a global, multi-entity finance environment. Manage users, workflows, AP and accounting operations, data integrity, integrations, and financial systems governance. Build Celigo integrations, support close and reconciliation processes, evaluate finance technology, document processes, train users, and partner with Accounting, FP&A, IT, Procurement, vendors, and leadership on scalable systems and IPO readiness.

Win new manufacturing customers for Cognite’s industrial AI and data platform. Responsibilities include territory strategy, prospecting, complex enterprise sales cycles, value-based selling, negotiations, forecasting, CRM updates, customer presentations, and collaboration with presales, product, and marketing teams. The role requires approximately 50% travel and focuses on helping chemical and process manufacturing customers achieve measurable digital transformation outcomes.

Build and own fullstack products end to end, including user interfaces, APIs, services, infrastructure, and AI-powered capabilities. Design scalable solutions, extract information from documents, connect industrial data, collaborate with product and design teams, influence technical direction, conduct code reviews, mentor engineers, and deliver reliable user experiences. The role requires cloud, distributed systems, testing, frontend, backend, and large language model integration experience.

Build full-stack tools that extract information from documents and connect industrial data. Responsibilities include designing APIs, user experiences, infrastructure, and AI-enabled solutions; collaborating with product, design, ML, and domain experts; owning problems end to end; contributing to technical direction; and developing products based on user needs.

Leads end-to-end delivery of complex Industrial AI and enterprise technology implementation projects, managing scope, schedules, budgets, financials, risks, governance, customer relationships, adoption, and value realization. Collaborates with technical and business teams to deliver measurable outcomes for industrial customers, while applying Agile methodologies and improving PMO practices. Requires technical fluency, commercial acumen, industrial-sector experience, and willingness to travel up to 25%.

Senior Product Designer responsible for creating AI-native experiences for Cognite Data Fusion. The role involves user research, rapid prototyping with real data and models, designing human-in-the-loop interactions, defining AI tool and agent workflows, and delivering production-ready interfaces. The designer partners with product, engineering, strategy, customers, and executives to validate concepts, establish success metrics, facilitate workshops, and own design outcomes from discovery through launch.

Lead scalable data engineering solutions using Cognite Data Fusion, including integrations, extraction, data modeling, cleansing, analysis, and production-grade pipelines. Collaborate with data scientists, architects, project managers, engineering, product teams, customers, and partners. Conduct code reviews, apply DevOps and CI/CD practices, support Cognite tools and SDKs, and translate customer needs into product offerings.

Designs and scales technical learning content and experiences for Cognite Academy. Translates complex technology concepts into learning materials, labs, assessments, and hands-on experiences. Owns the Skilljar platform, including publishing, learning paths, reporting, configurations, and automation. Partners with technical and product teams, applies AI-enabled content tools, analyzes learner data, and continuously improves enterprise education programs, certifications, and learning outcomes.

Own and optimize Cognite’s talent technology stack, including Greenhouse, Claude, HiBob, and SkillJar. Configure recruiting workflows, automations, integrations, reporting, performance and workforce planning processes, and AI-enabled employee development tools. Serve as the internal subject-matter expert, maintain documentation and training, manage vendors, and improve system adoption and data integrity. This is a senior individual-contributor role with manager-level scope but no direct reports.

Designs and governs complex enterprise SaaS deals for Cognite’s global revenue organization. Advises sales leaders on pricing, contract structures, margin protection, negotiation, and approval workflows. Coordinates Legal, Finance, Product, and executives while developing CPQ templates, GenAI proposal reviews, discounting guardrails, Salesforce data processes, commercial playbooks, and enablement programs.

Owns the architecture, development, and operation of security-critical backend systems for authentication, authorization, identity, and audit. Designs scalable gRPC and HTTP APIs and Kubernetes-based microservices, drives threat modeling, performance tuning, and reliability engineering, and mentors engineers. Requires strong Kotlin expertise, distributed systems experience, modern authentication and authorization knowledge, and hands-on cloud-native experience with Elasticsearch and major cloud platforms.

Design and implement scalable data engineering solutions using Cognite Data Fusion. Build integrations, data pipelines, extractions, models, and analyses with Python, SQL, Java, and REST APIs. Collaborate with data scientists, architects, project managers, customers, and partners to deliver industrial data solutions. Conduct code reviews, apply DevOps and quality practices, support customer engineering tasks, contribute to SDKs and tools, and help prioritize product improvements.

Build and operate Cognite’s serverless execution engine and workflow orchestration platform. Responsibilities include designing scalable multi-tenant backend services, APIs, scheduling and retry systems, observability, CI/CD, automated testing, performance optimization, incident response, and reliability engineering. The role also supports ML workloads, contextualization pipelines, and potentially vector infrastructure across cloud environments.

Lead scalable data engineering solutions using Cognite Data Fusion, including integrations, data extraction, modeling, cleansing, pipelines, and analysis. Collaborate with data scientists, architects, project managers, customers, and partners to deliver industrial data solutions. Conduct code reviews, apply DevOps and engineering best practices, contribute to Cognite tools and SDKs, and help prioritize product offerings based on customer needs.

Designs complex end-to-end solutions combining Cognite SaaS products with customer ecosystems. Leads technical discovery, data modeling, integrations, cloud architecture, visualization, implementation quality, monitoring, security, and operational support. Advises customers and partners on Cognite Data Fusion while collaborating with sales, delivery, data science, product, and engineering teams. Requires strong Python and software development expertise, cloud and DevOps experience, enterprise integration knowledge, and data architecture skills.