Senior Product Manager - AI Systems
Listed on 2026-01-02
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IT/Tech
AI Engineer, Data Analyst
At Mod Op, we’re reimagining the future of marketing by fusing creativity, technology, and intelligence to transform how work gets done and the value clients receive. Our AI & Innovation Team builds AI-enabled platforms and agentic systems that automate, optimize, and evolve the marketing process—from creative development to media execution to performance analytics.
We’re looking for a Senior Product Manager with deep go-to-market, B2B, SaaS, CRM and Marketing Automation platforms, CDP and similar data platforms and AI platform experience to lead the vision, strategy, and execution of AI agent ecosystems (“agent suites” and “agent lakes”) designed to automate complex workflows across Mod Op and our clients’ environments.
This role is for a systems thinker and product visionary— someone who can architect intelligent workflows where multiple AI agents collaborate seamlessly to deliver scalable, bespoke business outcomes. You’ll design and iterate toward a future where strategy, creativity, and operations converge through agentic orchestration.
AI Vision & Strategy
- 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.
- 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, Git Hub).
- 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.
- Health and Life…
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