Software Engineering Manager, ATLAS AI

About CogniteCognite is gearing up for an exciting year of growth in 2026. As we expand our global footprint and scale our impact across industries, we’re building our team with talented, forward-thinking individuals who want to make a difference. Even if you don’t see a role that matches your experience today, we encourage you to apply and join our talent community. As immediate opportunities open up, our recruiting team will reach out to connect and explore how your skills align with our growing needs. Join us as we continue to innovate and transform how industrial data drives the world forward.
In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
Our valuesImpact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth. 
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 a team of 5-10 software engineers.
• 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.
• Help your team with code reviews and documentation, and write code yourself.

What We Are Looking For

• 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 experience leading and managing software engineers.
• Expertise relevant to our tech stack. Kubernetes systems in a multi-cloud environment (Azure, AWS, GCP), frontend TypeScript and React, backend Python.
• 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 meth