Hybrid Senior Product Manager – AI Systems

at Mod Op

• Job title: Senior Product Manager – AI Systems
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Location requirements: Hybrid, Cleveland, United States

About the role

• Senior Product Manager leading vision and execution of AI agent ecosystems for marketing automation within innovative marketing company. Collaborating with cross-functional teams to deliver bespoke business outcomes.

Responsibilities

• Set the vision and roadmap for Mod Op’s AI agent architecture—defining how individual and networked agents automate and augment workflows across creative, strategy, media, and analytics.
• Develop go-to-market strategy, plan and execute the GTM launch strategy. (positioning, pricing and messaging)
• Maintain a dynamic product roadmap that supports modular innovation, enabling combinations of agents to power bespoke client solutions.
• Collaborate with clients and internal stakeholders to co-create new ways of working—where AI augments human creativity and decision-making to deliver differentiated value.
• Use deep understanding of CRM, marketing automation, and data platforms to design productized innovations that automate workflows and improve access to data and insights.
• Build and prioritize products and complex product roadmaps, setting priorities and delivering on-time solutions.
• Translate strategic concepts into actionable product experiences and MVPs.
• Collaborate with IT, data engineers, architects, and data scientists to design solutions within scalable and secure environments.
• Partner with engineering, design, and data science to ensure solutions are scalable, secure, and aligned with business outcomes.
• Develop frameworks for agent evaluation and observability, ensuring quality, accuracy, and compliance across multi-agent interactions.
• Collaborate with product owners, business leaders, and clients to baseline processes and workflows through marketing technology stacks.
• Leverage data for informed decisions on product direction, pricing strategy and technical trade-offs.

Requirements

• 5+ years in GTM product management or product-building roles (B2B, Ecommerce, SaaS, AI, automation environments).
• Advanced degree in Computer Science, AI, Machine Learning, or related field is highly desirable.
• Expertise in Agile/Scrum and iterative product delivery.
• Technical proficiency in product architecture and MVP development.
• Proven experience architecting data-driven platforms, or agentic platforms that integrate with APIs, and enterprise integrations.
• Experience defining KPIs, analyzing user feedback, and iterating products responsibly with awareness of security and compliance.
• Knowledge of AI agent orchestration, retrieval-augmented generation (RAG), and LLM-based automation pipelines.
• Skilled in workflow automation, data architecture, and platform scalability principles.
• Familiarity with AI prototyping tools (Cursor, Claude Code) and design collaboration platforms (Figma, GitHub).
• Proven ability to manage cross-functional teams drive strategic vision.
• Passion for exploring how AI, creativity, and human behavior intersect to transform how brands connect with audiences.
• Strong analytical and problem-solving skills, especially related to cost-benefit analysis and ROI tracking.
• Ability to translate complex technical systems into elegant, outcome-focused product experiences.
• Strong leadership, communication, and collaboration skills with stakeholders and team members.

Benefits

• Health and Life Insurance for employees and family, access to Vision benefits, Telemedicine services, Psychology support and others.
• On the job training and career growth opportunities.
• Access to LinkedIn courses.
• Fully remote job.
• Talented team environment, collaborative offices, fun company culture with a great balance of work and play.
• Vacations are granted by day or weeks according to employee approved request.
• Salary with yearly review and competitive benefits.
• Competitive compensation based on experience and skill set.