Engineering Manager, Atlas AI

Cognite - AI for Industry; Phoenix (AZ); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

401(k) with employer matching

Health, dental, vision & disability

Unlimited PTO

Paid Parental Leave

Employee referral program

Job summary

Cognite, a leading industrial AI and data solutions company, is seeking a Software Engineering Manager at its Phoenix, AZ HQ. You will lead a team of 5-10 engineers, building services and AI agents to optimize industrial processes and leverage a contextualized knowledge graph.

You will guide architecture, best practices, and delivery across cross-functional teams. The ideal candidate has 10+ years in software engineering, 5+ years in people management, and deep expertise in cloud-native stacks

Qualifications

• 10+ years of software engineering experience.
• 5+ years of direct people management experience.
• Deep technical expertise in modern cloud architectures and scalable microservices.
• Core stack: Python backends, TypeScript/React frontends, Kubernetes across multi-cloud environments.
• Understanding of SDLC, coding standards, testing and operations.
• Experience with AI/ML models or LLMs is a plus.

Responsibilities

• Lead, mentor, and grow a high-performing team of software engineers.
• Develop services, applications, and AI agents to unlock value from operational data.
• Operate production-grade SaaS software with on-call rotations and SLOs.
• Establish automated testing, telemetry, and monitoring to ensure reliability and scalability.
• Provide architectural guidance and code reviews; contribute to core code when needed.
• Collaborate with designers, PMs, and program managers to deliver high-quality products on time.

Skills

People management

Software architecture

Cloud microservices

Python backends

TypeScript/React

Kubernetes

SaaS

Code reviews

Telemetry & monitoring

Communication skills

Education

Bachelor's or Master's in Computer Science

Equivalent practical experience

Tools

Git

CI/CD

AWS

Azure

GCP

Terraform

Docker

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 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
• Cognite's Industrial AI: Moonshot
• 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.