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Mobile Engineering Manager Jobs in Ohio (NOW HIRING)

The AI & Mobile Product Manager will own the product lifecycle from concept through adoption ... Daily Activities: • Collaborate with engineering, data science, and design teams to review ...

The Manager IT Software Engineering at Safelite leads agile technology teams and is focused on building and operating digital experiences (websites and/or mobile apps) for Safelite clients and ...

Mobile Tester

Milford, OH · On-site

$70K - $75K/yr

Technical collaboration with Engineering and Program teams to validate the New features on ... defect Management tools like Jira, QC etc. ● Experience on Flash station tools for the Android ...

Lead and manage a team of 6-8 engineers, with a focus on coaching, mentorship, performance ... Experience in mobile app development in iOS or Android. * Experience with observability tools and ...

Minimum of four (4) years of technical experience in all aspects of building engineering with a ... investment management services. We take our responsibility to protect the personal information ...

Minimum of four (4) years of technical experience in all aspects of building engineering with a ... investment management services. We take our responsibility to protect the personal information ...

We specialize in Mobile development, i.e. iPhone and Android apps. We use Objective C and Swift ... Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to ...

Showing results 41-60

Mobile Engineering Manager information

See Ohio salary details

$44.2K

$139.6K

$165.4K

How much do mobile engineering manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for mobile engineering manager in Ohio is $139,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $164,500.00 per year, depending on experience, location, and employer.

What does a mobile engineering manager do?

A Mobile Engineering Manager leads a team of mobile developers to design, build, and maintain mobile applications. They oversee technical decisions, collaborate with product managers, and ensure best practices in mobile development. Additionally, they manage team performance, provide mentorship, and optimize workflows to improve efficiency. Their role requires balancing technical leadership with people management to deliver high-quality mobile experiences.

What skills and qualifications are needed to be a mobile engineering manager?

To thrive as a Mobile Engineering Manager, you need a strong background in mobile application development (iOS/Android), technical leadership, and project management, typically supported by a degree in computer science or a related field. Familiarity with tools like Xcode, Android Studio, Jira, Git, and an understanding of CI/CD pipelines are often essential, and certifications in Agile or Scrum can be advantageous. Strong soft skills such as team leadership, effective communication, and the ability to mentor developers will set you apart. These abilities are crucial for delivering high-quality mobile products, keeping teams motivated and productive, and driving projects to successful completion.

What are the typical team structures and collaboration methods for a mobile engineering manager?

As a Mobile Engineering Manager, you typically lead a team of mobile developers, QA engineers, and sometimes product designers, depending on the company. Collaboration is often driven by agile methodologies, such as Scrum or Kanban, with regular stand-ups, sprint planning, and code reviews to keep the team aligned. You'll work closely with product managers, UX/UI designers, and backend teams to ensure mobile solutions are integrated smoothly into the larger product ecosystem. Expect frequent communication across departments to align priorities and deliver seamless user experiences. This collaborative environment is designed to foster innovation and quick iteration cycles, ensuring your team can respond rapidly to user needs and business goals.

What job categories do people searching Mobile Engineering Manager jobs in Ohio look for? The top searched job categories for Mobile Engineering Manager jobs in Ohio are:
What cities in Ohio are hiring for Mobile Engineering Manager jobs? Cities in Ohio with the most Mobile Engineering Manager job openings:
Infographic showing various Mobile Engineering Manager job openings in Ohio as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $139,627 per year, or $67.1 per hour.

AI & Mobile Product Manager

ERP Suites

Loveland, OH • On-site, Remote

Full-time

Re-posted 9 days ago


Job description

ERP Suites is dedicated to delivering innovative technology solutions that help organizations streamline operations, improve productivity, and accelerate growth. We are seeking an AI & Mobile Product Manager to lead the strategy, development, and delivery of next-generation AI-powered and mobile solutions that create measurable business value for our customers.
Location:
Our home office is based in Cincinnati, OH. However, we are open to hiring someone who is fully remote regardless of location. Although the position will be remote, there might be some occasional travel to ERP Suites facilities or customer sites.
Position Summary:
The AI & Mobile Product Manager will own the product lifecycle from concept through adoption, driving the development of AI and mobile solutions that solve meaningful business challenges. This role serves as the bridge between customers, business stakeholders, engineering teams, data scientists, and leadership to ensure products are valuable, scalable, secure, and aligned with business objectives.
The ideal candidate combines strong product management expertise with a practical understanding of artificial intelligence, including generative AI, machine learning, AI agents, automation, model governance, and responsible AI practices.
Daily Activities:
• Collaborate with engineering, data science, and design teams to review progress and resolve blockers.
• Refine requirements, user stories, and product priorities.
• Review customer feedback, support issues, usage analytics, and product performance metrics.
• Participate in Agile ceremonies including sprint planning, backlog grooming, standups, and demos.
• Review workflows, wireframes, prompts, model behavior, and AI-generated recommendations.
• Support sales, marketing, and customer success teams with product knowledge and enablement.
Key Responsibilities:
Product Strategy & Roadmap:
• Define and execute the AI product vision, strategy, and roadmap.
• Identify and prioritize AI and mobile use cases based on customer value, business impact, feasibility, and risk.
• Develop business cases and product strategies that align with organizational goals.
• Conduct market research, competitive analysis, and customer discovery to identify opportunities.
Product Development & Delivery:
• Translate business requirements into detailed product requirements, user stories, and acceptance criteria.
• Partner with engineering, architecture, UX, and data science teams to design scalable solutions.
• Manage product backlogs, sprint planning, prioritization, and release planning.
• Ensure successful delivery through Agile product development methodologies.
• Oversee product releases, documentation, training, and readiness activities.
Customer Experience & Adoption:
• Collaborate with UX teams to create intuitive, AI-enabled user experiences.
• Gather and analyze customer feedback to continuously improve products.
• Define success metrics, KPIs, adoption goals, and ROI measurements.
• Monitor product performance, user adoption, customer satisfaction, and AI model effectiveness.
Governance & Risk Management:
• Ensure AI products are secure, explainable, compliant, and aligned with responsible AI principles.
• Collaborate with security, legal, and compliance teams to manage AI-related risks.
• Evaluate AI outputs for accuracy, usability, trustworthiness, and business relevance.
Cross-Functional Leadership:
• Partner with stakeholders across product, engineering, sales, marketing, customer success, and executive leadership.
• Communicate product strategy, priorities, trade-offs, and roadmap updates.
• Support go-to-market initiatives, sales enablement, product positioning, and customer adoption.
Qualifications:
Required:
• Bachelor's degree in Business, Computer Science, Information Systems, Engineering, Data Science, or a related field.
• 3+ years of experience in product management, business analysis, software delivery, or technology strategy.
• Experience delivering software products, digital platforms, enterprise applications, or data-driven solutions.
• Working knowledge of AI concepts including machine learning, generative AI, natural language processing, predictive analytics, and AI agents.
• Experience collaborating with technical teams such as software engineers, architects, and data scientists.
• Strong experience writing product requirements, user stories, acceptance criteria, and business cases.
• Experience using Agile methodologies and product management tools.
• Excellent communication and stakeholder management skills.
• Strong analytical, problem-solving, and decision-making abilities.
Core Competencies:
• Product strategy and roadmap development
• AI, machine learning, generative AI, and automation concepts
• Customer discovery and use case validation
• Agile product management and backlog prioritization
• Data-driven decision making and KPI development
• Cross-functional leadership
• UX and workflow design
• Executive communication and presentation skills
• Risk management, governance, and responsible AI practices
Preferred Qualifications:
• Experience managing AI, machine learning, generative AI, or automation products.
• Experience with enterprise systems such as ERP, CRM, HCM, supply chain, finance, or operations platforms.
• Familiarity with cloud AI platforms including Oracle Cloud Infrastructure, Microsoft Azure AI, AWS AI, Google Cloud AI, or OpenAI technologies.
• Knowledge of AI governance, model monitoring, prompt engineering, data privacy, security, and compliance.
• Understanding of APIs, data pipelines, vector databases, retrieval-augmented generation (RAG), large language models (LLMs), and agentic AI architectures.
• Experience launching AI products in enterprise or regulated industries.
• Experience developing ROI models and business value frameworks for AI initiatives.
• Product certifications such as Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, or Pragmatic Institute certification.
Company:
At ERP Suites, our focus is on helping our customers realize IT's potential. Our comprehensive ERP solutions enable them to streamline and scale their IT products and processes. And this leads directly to improved efficiency and increased margins. We are a proud Oracle Gold Partner and champion of proactive JD Edwards management and custom product enhancements.
ERP Suites provides technical consulting, cloud services, managed services, and digital transformation solutions for some of America's top companies. We build secure connections, improve performance, automate workloads and give them mobility. In other words, we help them stay on top.
We deliver multi-functional value through cloud services, digital transformation, ERP consulting services, ERP managed services, and software development.
Core Values:
  • Make Customers Successful
  • Be An Advisor
  • Be a teacher
  • Be a Coach
  • Have Fun
  • Do the Right Things for the ERP Suites Family
  • Adapt Quickly to Changing Roles and Environments
This is Where IT Change Starts.
  • With questions.
  • With problems that need to be solved.
  • With business needs, both immediate and long term.
  • Because technology and its impact on business isn't getting any simpler.
  • That's why we exist.
  • To answer the tough questions.
  • To find a solution to every problem-no matter the size or scope.
  • And to help companies not just identify IT's potential, but realize IT