Senior Product Manager - AI Systems at Mod Op

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI Systems, B2B, SaaS, CRM, Marketing Automation, Data Platforms, Agile, Product Design, Workflow Automation, Data Architecture, Platform Scalability, Technical Collaboration, Analytical Skills, Problem-Solving, Leadership, Communication

Industry

Advertising Services

Description

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. Product Design & Development 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. Technical Collaboration & Architecture 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. Process & Data-Driven Decision Making 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, 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. 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. When asked what they love about working at Mod Op, we hear: “I feel I can be myself at work and it’s fun!” -MV “The caliber of the clients/brands we work with, knowing your work is seen by thousands of people, in many cases across the world.” -JC “We actually create videogames!” -AC “We have an all-star team, and it’s like playing in the pro-bowl every day!” -MW “Opportunities to always learn from and work with the best and the brightest.” HW “Mentors and opportunities for growth.” -KB Mod Op, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Responsibilities

The Senior Product Manager will lead the vision, strategy, and execution of AI agent ecosystems to automate complex workflows. This includes setting the roadmap for AI agent architecture and collaborating with clients and stakeholders to enhance workflows.