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3 дня назад

Manager, Product Software Engineering (AI)

116 400 - 204 100$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, Product Software Engineering (AI/.NET/Azure): Leading multiple engineering teams delivering enterprise-scale products and platforms with an accent on AI-driven software development, modernization, and developer productivity. Focus on scaling engineering execution, guiding cloud-native and distributed systems work, and implementing Spec-Driven Development, automation, and measurable engineering improvements.

Location: Coppell, Texas, USA; hybrid with 8 days per month onsite

Salary: $116,400–$204,100 USD per year, plus bonus eligibility.

Company

hirify.global DXG U.S., Inc.

What you will do

  • Lead and develop multiple engineering teams across products, platforms, and technology initiatives.
  • Own engineering roadmaps, planning disciplines, dependency management, risk mitigation, operational reviews, and outcome-based delivery tracking.
  • Partner with Product Management, Architecture, UX, QA, Security, DevOps, and business stakeholders to translate objectives into measurable engineering plans.
  • Guide modernization across cloud-native architectures, APIs, platforms, data services, AI capabilities, and distributed systems.
  • Drive engineering standards for software design, testing, observability, security, resiliency, maintainability, technical debt, and platform sustainability.
  • Champion AI-assisted development, Spec-Driven Development, developer productivity tooling, automation, engineering metrics, and AI insights across the SDLC.

Requirements

  • Extensive experience leading software engineering organizations delivering enterprise-scale products and platforms.
  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.
  • 15+ years of software engineering experience, including hands-on delivery of enterprise and SaaS applications, with 5+ years managing and mentoring engineers while remaining involved in software development and technical delivery.
  • Advanced proficiency and hands-on experience with C#, modern .NET, Angular, TypeScript, REST API development, and RDBMS databases including SQL Server and Oracle.
  • Strong understanding of modern application architecture, cloud-native development, microservices, APIs, event-driven systems, and platform engineering.
  • Experience with Azure, DevOps, CI/CD, Infrastructure as Code, observability, and operational excellence practices.
  • Experience managing modernization and digital transformation initiatives.
  • Excellent stakeholder management and executive communication skills, with the ability to influence without authority and align complex organizations.
  • Ability to balance strategic planning with operational execution.

Nice to have

  • Production experience delivering agentic AI or generative AI capabilities, including agent orchestration, MCP, tool integration, evaluation, safeguards, and human-in-the-loop workflows.
  • Familiarity with Azure OpenAI, Semantic Kernel, AutoGen, LangGraph, or comparable technologies.
  • Experience implementing AI-powered engineering platforms, agentic development solutions, or developer productivity initiatives.
  • Experience managing globally distributed teams and large-scale modernization programs.
  • Exposure to product architecture, platform strategy, and technical governance practices.
  • Experience driving measurable improvements in engineering productivity, quality, operational excellence, and customer outcomes.

Culture & Benefits

  • Focus on ownership, innovation, collaboration, continuous improvement, experimentation, and learning.
  • Medical, dental, and vision plans; 401(k); FSA/HSA; commuter benefits; tuition assistance; vacation and sick time; and paid parental leave.
  • Hybrid work arrangement requiring 8 onsite days per month.
  • Applicants may be required to appear onsite at a hirify.global office during recruitment.

Hiring process

  • Interviews must be completed without AI tools, AI-generated responses, external prompts, or third-party support; violations may result in disqualification.
  • Virtual backgrounds must be removed, and the process includes in-person interviews.

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