{"schemaVersion":"jobsearcher.job.v1","id":"df03583646fddcf0b57a3cc5","url":"https://jobsearcher.com/jobs/df03583646fddcf0b57a3cc5","canonicalUrl":"https://jobsearcher.com/jobs/df03583646fddcf0b57a3cc5","title":"Manager, Software Engineering & Development","description":"Position Summary\r\nAs a Software Engineering Manager, Enterprise AI Platform , you will lead a team responsible for building, operating, and continuously improving production-grade AI-enabled software.\r\nThis role manages a cross-functional engineering team that may include:\r\nSoftware Engineers\r\nSDETs\r\nDevOps Engineers\r\nSupport Engineers\r\nThis is a hands-on engineering leadership role for someone who has strong software engineering experience, cares deeply about people development, and can help teams deliver practical AI-powered solutions with speed, quality, and discipline.\r\nWhile this is a management role, the person in this position is expected to stay close to the codebase and technical workflow. When the situation calls for it, they may contribute directly to implementation, debugging, automation, technical spikes, or code reviews to help the team move faster, remove blockers, or solve critical problems.\r\nYou will be responsible for\r\nGrowing and developing engineering talent\r\nCreating a high-performance team culture\r\nSupporting delivery of enterprise AI platform capabilities\r\nImproving engineering practices across software development, testing, DevOps, support, and operations\r\nPartnering with product, architecture, AI, business, and technology leaders\r\nHelping the team move quickly while maintaining quality, security, reliability, and maintainability\r\nOccasionally contributing hands-on to implementation, debugging, automation, technical spikes, or code reviews when the situation calls for it\r\nThis role is ideal for an emerging engineering leader who has already demonstrated strong technical leadership and people leadership potential, and who is looking to continue growing and evolving their career.\r\nWe are looking for someone who can lead through influence, coach engineers effectively, improve team execution, and help build the operating model for modern AI-enabled software delivery.\r\nWhat We're Looking For\r\nWe are looking for a manager who can balance people leadership , technical judgment , and delivery execution .\r\nThe ideal candidate is someone who\r\nHas a strong software engineering background\r\nUnderstands how modern software teams build, test, deploy, and operate production systems\r\nCan coach software engineers, SDETs, DevOps engineers, and support engineers\r\nStays technically engaged with the team's codebase, architecture, development workflow, and operational tooling\r\nKnows when to guide, when to delegate, and when to contribute hands-on to help the team move forward\r\nKnows how to create clarity in ambiguous environments\r\nCan translate business and platform goals into team execution\r\nHas strong instincts around quality, automation, observability, reliability, and supportability\r\nIs comfortable working in a fast-moving AI environment\r\nCan partner well with product owners, architects, data scientists, business stakeholders, and senior leaders\r\nWants to grow into broader engineering leadership responsibility over time\r\nThis is a software engineering management role focused on building and growing the team that delivers and operates the Enterprise AI Platform.\r\nRequired Qualifications\r\n5+ years of professional software engineering or related technical experience.\r\n2+ years of technical leadership, team leadership, people leadership, or engineering management experience.\r\nExperience leading, coaching, or mentoring software engineers or related technical team members.\r\nAbility and willingness to stay technically engaged with the team's codebase, architecture, development workflow, and operational tooling, including occasional hands-on contribution when needed.\r\nStrong understanding of modern software engineering practices, including:\r\nClean code\r\nSource control\r\nUnit testing\r\nCI/CD\r\nDesign patterns\r\nRefactoring\r\nMaintainability\r\nProduction support\r\nExperience working with software delivery teams that include roles such as\r\nSoftware Engineers\r\nSDETs\r\nDevOps Engineers\r\nSupport Engineers\r\nQuality Engineers\r\nExperience supporting production software systems, including troubleshooting, incident response, root-cause analysis, or operational improvement.\r\nStrong understanding of Agile delivery practices and modern engineering team workflows.\r\nAbility to develop associates through coaching, feedback, goal setting, performance conversations, and career development planning.\r\nAbility to create a high-performance team environment built on ownership, accountability, trust, and continuous improvement.\r\nStrong communication skills with technical and non-technical audiences.\r\nStrong problem-solving, prioritization, and decision-making skills.\r\nAbility to partner with product, architecture, operations, support, and business teams to drive successful outcomes.\r\nExperience participating in hiring, interviewing, candidate evaluation, or team growth activities.\r\nBachelor's degree in Computer Science, Computer Information Systems, Business Information Systems, a related technical field, or equivalent practical experience.\r\nPreferred Qualifications\r\nExperience with one or more of the following is helpful, but not required:\r\nManaging or leading teams that build enterprise platforms, internal developer platforms, AI platforms, or shared services\r\nExperience with AI-enabled applications, LLM-powered systems, RAG, chatbots, agent workflows, or AI-assisted engineering practices\r\nFamiliarity with Azure, Azure AI Foundry, Azure DevOps, or related Microsoft cloud and engineering tools\r\nExperience with engineering teams using AI-powered development tools such as Cursor, Claude Code, or similar platforms\r\nExperience leading teams that use automated testing, SDET practices, Playwright, Python-based test automation, or end-to-end testing\r\nExperience with DevOps practices, CI/CD pipelines, release automation, infrastructure automation, or cloud operations\r\nExperience with observability tools such as New Relic, Langfuse, OpenTelemetry, Azure Log Analytics, or similar platforms\r\nExperience managing geographically distributed teams\r\nExperience improving production support models, incident management, operational readiness, or service reliability\r\nExperience working with enterprise systems such as Salesforce, internal platforms, APIs, workflow systems, or service-oriented architectures\r\nExperience leading teams through ambiguity, rapid change, or emerging technology adoption\r\nExperience building succession plans, development plans, hiring strategies, or team capability roadmaps\r\nInterest in continuing to grow leadership responsibility\r\nWhat Success Looks Like\r\nYou will be successful in this role if you\r\nBuild a team that delivers high-quality software consistently.\r\nDevelop engineers, SDETs, DevOps engineers, and support engineers into stronger technical contributors.\r\nCreate a culture of ownership, accountability, speed, and quality.\r\nStay technically close enough to guide decisions, unblock the team, and occasionally contribute hands-on without becoming a bottleneck or displacing team ownership.\r\nHelp the team use AI-assisted development tools without lowering engineering standards.\r\nImprove how the team builds, tests, deploys, monitors, and supports software.\r\nPartner effectively with product owners, architects, data scientists, business stakeholders, and senior leaders.\r\nCreate clarity when priorities are ambiguous or changing.\r\nRaise the quality of engineering practices across the team.\r\nIdentify performance gaps early and address them directly and constructively.\r\nHire strong talent and help retain high-performing associates.\r\nHelp the team connect day-to-day execution to broader Enterprise AI Platform goals.\r\nGrow your own leadership scope, judgment, and organizational influence over time.\r\nThe national average salary range for this role is $160-180k in base pay, exclusive of any bonuses and benefits. This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visit careers.ascensus.com/#Benefits.\r\nBe aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about the validity of a job posting, we strongly encourage you to apply directly through our website.\r\nJ-18808-Ljbffr","company":"Ascensus","rawCompany":"ascensus","city":"Oklahoma City","state":"OK","isRemote":false,"isActive":false,"createdAt":"2026-06-25T00:55:17.831Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager, Software Engineering & Development","description":"Position Summary\r\nAs a Software Engineering Manager, Enterprise AI Platform , you will lead a team responsible for building, operating, and continuously improving production-grade AI-enabled software.\r\nThis role manages a cross-functional engineering team that may include:\r\nSoftware Engineers\r\nSDETs\r\nDevOps Engineers\r\nSupport Engineers\r\nThis is a hands-on engineering leadership role for someone who has strong software engineering experience, cares deeply about people development, and can help teams deliver practical AI-powered solutions with speed, quality, and discipline.\r\nWhile this is a management role, the person in this position is expected to stay close to the codebase and technical workflow. When the situation calls for it, they may contribute directly to implementation, debugging, automation, technical spikes, or code reviews to help the team move faster, remove blockers, or solve critical problems.\r\nYou will be responsible for\r\nGrowing and developing engineering talent\r\nCreating a high-performance team culture\r\nSupporting delivery of enterprise AI platform capabilities\r\nImproving engineering practices across software development, testing, DevOps, support, and operations\r\nPartnering with product, architecture, AI, business, and technology leaders\r\nHelping the team move quickly while maintaining quality, security, reliability, and maintainability\r\nOccasionally contributing hands-on to implementation, debugging, automation, technical spikes, or code reviews when the situation calls for it\r\nThis role is ideal for an emerging engineering leader who has already demonstrated strong technical leadership and people leadership potential, and who is looking to continue growing and evolving their career.\r\nWe are looking for someone who can lead through influence, coach engineers effectively, improve team execution, and help build the operating model for modern AI-enabled software delivery.\r\nWhat We're Looking For\r\nWe are looking for a manager who can balance people leadership , technical judgment , and delivery execution .\r\nThe ideal candidate is someone who\r\nHas a strong software engineering background\r\nUnderstands how modern software teams build, test, deploy, and operate production systems\r\nCan coach software engineers, SDETs, DevOps engineers, and support engineers\r\nStays technically engaged with the team's codebase, architecture, development workflow, and operational tooling\r\nKnows when to guide, when to delegate, and when to contribute hands-on to help the team move forward\r\nKnows how to create clarity in ambiguous environments\r\nCan translate business and platform goals into team execution\r\nHas strong instincts around quality, automation, observability, reliability, and supportability\r\nIs comfortable working in a fast-moving AI environment\r\nCan partner well with product owners, architects, data scientists, business stakeholders, and senior leaders\r\nWants to grow into broader engineering leadership responsibility over time\r\nThis is a software engineering management role focused on building and growing the team that delivers and operates the Enterprise AI Platform.\r\nRequired Qualifications\r\n5+ years of professional software engineering or related technical experience.\r\n2+ years of technical leadership, team leadership, people leadership, or engineering management experience.\r\nExperience leading, coaching, or mentoring software engineers or related technical team members.\r\nAbility and willingness to stay technically engaged with the team's codebase, architecture, development workflow, and operational tooling, including occasional hands-on contribution when needed.\r\nStrong understanding of modern software engineering practices, including:\r\nClean code\r\nSource control\r\nUnit testing\r\nCI/CD\r\nDesign patterns\r\nRefactoring\r\nMaintainability\r\nProduction support\r\nExperience working with software delivery teams that include roles such as\r\nSoftware Engineers\r\nSDETs\r\nDevOps Engineers\r\nSupport Engineers\r\nQuality Engineers\r\nExperience supporting production software systems, including troubleshooting, incident response, root-cause analysis, or operational improvement.\r\nStrong understanding of Agile delivery practices and modern engineering team workflows.\r\nAbility to develop associates through coaching, feedback, goal setting, performance conversations, and career development planning.\r\nAbility to create a high-performance team environment built on ownership, accountability, trust, and continuous improvement.\r\nStrong communication skills with technical and non-technical audiences.\r\nStrong problem-solving, prioritization, and decision-making skills.\r\nAbility to partner with product, architecture, operations, support, and business teams to drive successful outcomes.\r\nExperience participating in hiring, interviewing, candidate evaluation, or team growth activities.\r\nBachelor's degree in Computer Science, Computer Information Systems, Business Information Systems, a related technical field, or equivalent practical experience.\r\nPreferred Qualifications\r\nExperience with one or more of the following is helpful, but not required:\r\nManaging or leading teams that build enterprise platforms, internal developer platforms, AI platforms, or shared services\r\nExperience with AI-enabled applications, LLM-powered systems, RAG, chatbots, agent workflows, or AI-assisted engineering practices\r\nFamiliarity with Azure, Azure AI Foundry, Azure DevOps, or related Microsoft cloud and engineering tools\r\nExperience with engineering teams using AI-powered development tools such as Cursor, Claude Code, or similar platforms\r\nExperience leading teams that use automated testing, SDET practices, Playwright, Python-based test automation, or end-to-end testing\r\nExperience with DevOps practices, CI/CD pipelines, release automation, infrastructure automation, or cloud operations\r\nExperience with observability tools such as New Relic, Langfuse, OpenTelemetry, Azure Log Analytics, or similar platforms\r\nExperience managing geographically distributed teams\r\nExperience improving production support models, incident management, operational readiness, or service reliability\r\nExperience working with enterprise systems such as Salesforce, internal platforms, APIs, workflow systems, or service-oriented architectures\r\nExperience leading teams through ambiguity, rapid change, or emerging technology adoption\r\nExperience building succession plans, development plans, hiring strategies, or team capability roadmaps\r\nInterest in continuing to grow leadership responsibility\r\nWhat Success Looks Like\r\nYou will be successful in this role if you\r\nBuild a team that delivers high-quality software consistently.\r\nDevelop engineers, SDETs, DevOps engineers, and support engineers into stronger technical contributors.\r\nCreate a culture of ownership, accountability, speed, and quality.\r\nStay technically close enough to guide decisions, unblock the team, and occasionally contribute hands-on without becoming a bottleneck or displacing team ownership.\r\nHelp the team use AI-assisted development tools without lowering engineering standards.\r\nImprove how the team builds, tests, deploys, monitors, and supports software.\r\nPartner effectively with product owners, architects, data scientists, business stakeholders, and senior leaders.\r\nCreate clarity when priorities are ambiguous or changing.\r\nRaise the quality of engineering practices across the team.\r\nIdentify performance gaps early and address them directly and constructively.\r\nHire strong talent and help retain high-performing associates.\r\nHelp the team connect day-to-day execution to broader Enterprise AI Platform goals.\r\nGrow your own leadership scope, judgment, and organizational influence over time.\r\nThe national average salary range for this role is $160-180k in base pay, exclusive of any bonuses and benefits. This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visit careers.ascensus.com/#Benefits.\r\nBe aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about the validity of a job posting, we strongly encourage you to apply directly through our website.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:55:17.831Z","dateModified":"2026-06-25T00:55:17.831Z","hiringOrganization":{"@type":"Organization","name":"Ascensus","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oklahoma City","addressRegion":"OK","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"df03583646fddcf0b57a3cc5"},"url":"https://jobsearcher.com/jobs/df03583646fddcf0b57a3cc5"}}