{"id":4039271,"url":"https://alion.io/job/cognite-engineering-manager-atlas-ai","title":"Engineering Manager, Atlas AI","company":{"id":4475,"name":"Cognite","domain":"cognite.com","url":"https://alion.io/company/cognite","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Phoenix, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI Agent Builder","optional":false}],"status":"live","first_seen_at":"2026-11-10T18:45:45Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T21:42:59Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"What Cognite is:Relentlessto achieve\nCognite 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.\nWe 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. \nOur 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.\nHow you’ll demonstrateOwnership\nWe 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.\nThe 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.\nResponsibilities\nLead, inspire, and mentor a high-performing team of 5-10 software engineers, fostering career growth and technical excellence.\nDevelop services, applications, and AI agents and tools to enable industrial software customers to unlock the value of their operational data, and automate complex workflows.\nDrive 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.\nChampion 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.\nCoach engineers to have a high impact on the team, regardless of their background, seniority, or understanding of the domain.\nCollaborate 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.\nCollaborate with industrial domain experts to deeply understand pain points, unmet needs, and opportunities to enhance operational efficiency through AI and data liberation.\nUnblock the team and collaborate with stakeholders outside the team to resolve and mitigate problems.\nProvide architectural guidance and system design oversight, conduct code reviews, and remain hands-on by contributing to core codebases when needed.\nTheImpactyou bring to Cognite\nBachelor's or Master’s degree in Computer Science or related field, or equivalent practical experience.\n10+ years of software engineering experience.\n5+ years of direct people management experience with a track record of building, scaling, and retaining strong engineering teams.\nDeep 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).\nUnderstanding of software engineering and best practices for the full development life cycle including coding standards, build processes, testing, and operations.\nUnderstanding of generative AI and/or machine learning, and familiarity with the tools and methodologies around them, for instance for measuring accuracy.\nExperience building applications on top of AI/ML models or large language models (LLMs).\nStrong verbal and written communication skills.\nA genuine and keen interest in building the competency of engineers.\n A snapshot of our many perks and benefits as a Cogniter\nCompetitive compensation\n401(k) with employer matching\nCompetitive health, dental, vision & disability coverages for employees and all dependents\nUnlimited PTO\nPaid Parental Leave Program\nEmployee Referral Program\nLearn more about us\nImpact 2025\nCognite's Industrial AI: Moonshot\nWe’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.\n Equal Opportunity\nCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. 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