AI & Mobile Product Manager

ERP Suites•Loveland, OH

3d•Remote

About The Position

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. 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. 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.
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.