---
title: 'Engineering Manager, Atlas AI at Cognite - AI for Industry'
canonical: 'https://feeny.ai/job/engineering-manager-atlas-ai-cognite-ai-for-industry-phoenix-z120nn4w483x'
type: 'job'
last_seen: '2026-11-12'
---

# Engineering Manager, Atlas AI at Cognite - AI for Industry

- **Company:** Cognite - AI for Industry
- **Location:** Phoenix, AZ
- **Posted:** 2026-11-10
- **Last confirmed live:** 2026-11-12
- **Apply:** https://job-boards.eu.greenhouse.io/cognite/jobs/5032829101

## Job description

What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve 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.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.

Our [Moonshot](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference) is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

## How you’ll demonstrate Ownership

We are seeking a customer-focused Software Engineering Manager at Cognite’s HQ in Phoenix, AZ to lead a team of 5-10 engineers, developing services and applications for industrial AI. Atlas AI is Cognite’s agent builder workbench and agentic runtime that uses LLMs, RAG, and other tools to help optimize and automate industrial business processes leveraging a contextualized knowledge graph. In this role, you will be responsible for leading a high-performing team to drive the development of technologies that transform industrial operations and make data interaction intuitive, effortless, and empowering. Your work will directly impact industrial efficiency and sustainability, which is critical to our mission of powering a high-tech, sustainable, and profitable industrial future.

The ideal candidate will have a proven track record of leading technology teams, a deep understanding of SaaS software, and a passion for driving innovation. As a technical leader, you will collaborate with a cross-functional team consisting of designers, product managers, and program managers to ensure the team builds the right product that is of excellent quality and is delivered on time.

## Responsibilities

- Lead, inspire, and mentor a high-performing team of 5-10 software engineers, fostering career growth and technical excellence.
- Develop services, applications, and AI agents and tools to enable industrial software customers to unlock the value of their operational data, and automate complex workflows.
- Drive the team to build, operate, and support production-grade SaaS software, including establishing on-call rotations, defining service level objectives (SLOs), and ensuring a fast and effective incident response process.
- Champion a culture of quality by establishing automated code coverage goals, implementing comprehensive telemetry and monitoring for all services, and developing robust testing strategies to ensure the reliability and scalability of our industrial AI solutions.
- Coach engineers to have a high impact on the team, regardless of their background, seniority, or understanding of the domain.
- Collaborate with a cross-functional team consisting of designers, product managers and program managers to ensure the team builds the right product, that is of excellent quality and is delivered on time.
- Collaborate with industrial domain experts to deeply understand pain points, unmet needs, and opportunities to enhance operational efficiency through AI and data liberation.
- Unblock the team and collaborate with stakeholders outside the team to resolve and mitigate problems.
- Provide architectural guidance and system design oversight, conduct code reviews, and remain hands-on by contributing to core codebases when needed.

The Impact you bring to Cognite

- Bachelor's or Master’s degree in Computer Science or related field, or equivalent practical experience.
- 10+ years of software engineering experience.
- 5+ years of direct people management experience with a track record of building, scaling, and retaining strong engineering teams.
- Deep technical expertise in modern cloud architectures, scalable microservices, and our core stack: Python backends, TypeScript/React frontends, and Kubernetes deployed across multi-cloud environments (Azure, AWS, GCP).
- Understanding of software engineering and best practices for the full development life cycle including coding standards, build processes, testing, and operations.
- Understanding of generative AI and/or machine learning, and familiarity with the tools and methodologies around them, for instance for measuring accuracy.
- Experience building applications on top of AI/ML models or large language models (LLMs).
- Strong verbal and written communication skills.
- A genuine and keen interest in building the competency of engineers.

A snapshot of our many perks and benefits as a Cogniter

- Competitive compensation
- 401(k) with employer matching
- Competitive health, dental, vision & disability coverages for employees and all dependents
- Unlimited PTO
- Paid Parental Leave Program
- Employee Referral Program

Learn more about us

- [Impact 2025](https://www.cognite.com/en/resources/blog/key-highlights-from-impact-2025)
- [Cognite's Industrial AI: Moonshot](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference)
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

## Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

## About Cognite - AI for Industry

## Company Overview
- **One-liner**: Cognite delivers industrial AI software that unifies siloed operational data to help energy, process manufacturing, and other industrial companies improve production efficiency and scale AI solutions.
- **Entity Type**: Private (backed by Aker ASA, total funding of $338.9M)
- **Headquarters**: Tempe, Arizona, United States (global HQ; also Lysaker, Norway)
- **Founded**: 2016
- **Founders**: Not publicly available (co-founded by a team with industrial and tech backgrounds)

## Core Business
- **Primary industries**: Industrial AI, Industrial DataOps, Energy (oil & gas, renewables), Process Manufacturing, Power & Utilities
- **Target customers**: B2B – enterprise industrial companies (energy, manufacturing, chemicals, etc.)
- **Mission or purpose**: “Power a high-tech, sustainable, and profitable industrial future” — enabling industrial teams to move faster, work safer, and achieve more with AI.

## Products & Services
- **Cognite Data Fusion®**: Open Industrial DataOps platform that contextualizes operational, engineering, and IT data into a real-time Industrial Knowledge Graph, making data accessible for AI and analytics. (SaaS/platform)
- **Cognite Atlas AI™**: Low-code industrial AI agent workbench for building and deploying agentic AI to automate complex operational tasks. (AI agent platform)
- **Cognite Flows™**: Tool for building and scaling production-ready industrial workflows 100x faster. (Workflow automation)
- **Composable reference applications**: Pre-built solutions for production optimization, smart maintenance, workforce digitalization, and sustainability.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding $338.9M (5 rounds); Annual revenue SEK 790.7M (approx. $75M based on current exchange rates, but exact USD not given)
- **Notable Investors/Partners**: Parent company Aker ASA; partners include Microsoft, Aker BP, Sopra Steria, Omny, Aize, and others. Recognized as a Leader in IDC MarketScape for Industrial DataOps Platforms.
- **Growth Signals**: 663 employees (+20.9% YoY); 102 active job postings (+67.2% YoY); LinkedIn followers 103,713 (+65.8% yearly); committed to delivering $100B in customer value by 2035; customers report 30-80% reduction in maintenance time and 4-month deployment cycles.

## Competitive Advantages
- **Industrial domain expertise**: Deep specialization in heavy industry (energy, process manufacturing) with a platform built for complex OT/IT data integration.
- **Open ecosystem**: Works with any cloud, any data source, any LLM, enabling flexible partnerships and off-the-shelf integrations.
- **Low-code AI agents**: Cognite Atlas AI allows domain experts to build AI agents without deep coding, speeding adoption.
- **Proven ROI**: Customers report 10x productivity improvements, rapid scaling (e.g., from pilot to 9 facilities in months), and significant downtime reduction.

## Strategic Focus
- **Scaling industrial AI**: Accelerate time-to-value with pre-built solutions, AI agents, and use-case best practices.
- **Global expansion**: Growing presence in Americas (Tempe, Austin, Houston), Europe (Oslo), Asia (Tokyo, Bengaluru).
- **Customer value commitment**: Ambitious goal of $100B in customer value by 2035.
- **Partner ecosystem**: Deepening integrations with cloud providers, system integrators, and industrial software vendors.

## Why Work Here
- **Culture**: Values of Relentless (innovation, learning from setbacks), Ownership (shared responsibility, inclusivity), and Impact (result-oriented, adding value to team and customers). Described as “smart, passionate builders, and problem solvers.”
- **Remote/Hybrid/Office**: Hybrid model with offices in Tempe, Austin, Houston, Oslo, Tokyo, Bengaluru. Some roles listed as “USA (remote)” indicating flexibility for certain positions.
- **Diversity**: Employees from 60+ countries; global team of engineers, product managers, domain experts.
- **Perks & Growth**: Opportunity to work on “biggest impact on our planet” — industrial AI at scale; strong investment in R&D and career development; fast-growing company with 100+ open roles.
- **Engineering culture**: Emphasis on AI, data engineering, machine learning, and full-stack development; roles like Senior AI Engineer, ML Engineer, Data Engineer, Applied AI Engineer.

## Sources
1. [cognite.com](https://www.cognite.com/en)
2. [cognite.com](https://www.cognite.com/en/company/about-us-cognite)
3. [cognite.com](https://www.cognite.com/en/company/careers)
4. [linkedin.com](https://www.linkedin.com/company/cognitedata)
5. [cbinsights.com](https://www.cbinsights.com/company/cognite)

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