Hybrid Senior Product Manager – AI Systems

Posted 3 weeks ago

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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.

Job title

Senior Product Manager – AI Systems

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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