About the role

Mid-level Product Manager developing AI-enabled marketing platforms at Mod Op. Collaborating with cross-functional teams to design innovative workflows and solutions in a hybrid environment.

Responsibilities

collaborate with Senior Product Manager to 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.

3+ years in product management or product-building roles (B2B, CRM, 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.