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Product Development Manager – AI Platform

Job in Maple Grove, Hennepin County, Minnesota, 55311, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Project Mgr/ Lead, Software Architect, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Leading, mentoring, and growing a global team of software engineers and Forward Deployed Engineers, fostering a high-performance, artificial intelligence–first culture.
  • Driving adoption of artificial intelligence across the software development lifecycle to improve engineering productivity, quality, and velocity.
  • Managing team execution, delivery, hiring, performance management, and career development while ensuring operational excellence.
  • Partnering with Product Management and senior engineering leaders to define and deliver scalable artificial intelligence agent platforms and enterprise capabilities.
  • Designing and contributing to cloud-native solutions leveraging Microsoft Azure, Python, and C# technologies.
  • Building and leading a Forward Deployed Engineering function that collaborates directly with customers to validate use cases and accelerate artificial intelligence adoption.
  • Translating customer feedback and real-world implementations into reusable platform features and product enhancements.
Requirements
  • 8+ years’ experience in software engineering with 3+ years’ experience managing engineering teams.
  • Proven experience leading enterprise platform, cloud-native, or artificial intelligence–focused development teams.
  • Strong expertise in Python and C# development.
  • Deep experience designing and operating distributed cloud applications on Microsoft Azure.
  • Experience building or managing artificial intelligence, machine learning, generative AI, large language models, or workflow automation solutions.
  • Strong understanding of modern software architecture including APIs, microservices, event-driven systems, and enterprise integration patterns.
  • Demonstrated success driving artificial intelligence adoption and development practices within engineering organizations.
  • Strong leadership, communication, and stakeholder management skills with the ability to influence across teams and customers.
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