Senior Marketing AI & Systems Manager

Geotab•Waterloo, ON

53d•CA$116,200 - CA$140,000•Hybrid

About The Position

Geotab is seeking a Senior Marketing AI & Systems Manager who will design, build, and integrate AI tools — including conversational agents, predictive models, and autonomous workflows — directly into our marketing stack to drive growth, personalization, and efficiency. This is a high-impact, hybrid role that bridges the gap between software development and go-to-market strategy — sitting at the intersection of marketing, artificial intelligence, and technology integration. The key area of responsibility will be to design, build, and integrate AI tools directly into our marketing stack to drive growth, personalization, and efficiency. This role involves building production-grade systems that help the marketing organization move faster, produce better work, and drive stronger business results. The role also owns the governance, evaluation, and evolution of the marketing technology ecosystem, ensuring that every tool invested in is connected, optimized, and delivering measurable value. This role is for individuals energized by solving complex operational problems with emerging technology, thriving at the crossroads of marketing and engineering, and wanting to shape how a global organization leverages AI.

Requirements

7+ years of experience in marketing operations, marketing technology, or a closely related field, with a strong emphasis on building and shipping AI, automation, or advanced analytics solutions in a B2B marketing environment
Proven track record of building and deploying AI-powered tools or workflows in a production marketing context — not just evaluating or recommending them
Strong understanding of the B2B marketing funnel, demand generation principles, and how marketing technology drives pipeline growth
Experience managing and integrating complex martech stacks, with hands-on knowledge of platforms such as Marketo, Salesforce, GA4, and content management systems
Proficiency in Python and/or TypeScript for building and maintaining AI applications, agents, and integrations
Deep knowledge of context engineering and working with LLM APIs — including OpenAI, Anthropic Claude, or equivalent models — to build reliable, production-grade AI systems
Familiarity with AI frameworks such as LangChain, LangGraph, LlamaIndex, or Google Agent Development Kit (ADK)
Experience working with vector databases (e.g., pgvector, Pinecone, Weaviate) and designing knowledge retrieval systems
Hands-on experience with integration platforms and workflow automation tools (e.g., Workato, Make, Zapier)
Comfort with front-end basics (HTML/CSS) for lightweight UI development and tooling presentation layers
Understanding of enterprise security practices including OAuth, SSO, and cloud deployment standards
Strong analytical mindset with the ability to translate data into actionable marketing insights and clearly communicate the business impact of technical work to revenue and marketing stakeholders
Excellent communication skills — equally comfortable explaining AI architecture to an engineer and presenting workflow improvements to a CMO
Experience with third-party B2B data enrichment platforms (e.g., Clay, ZoomInfo, 6sense) and intent data strategies
Familiarity with AI search optimization, answer engine optimization (AEO), and how brands can build authority and citation presence in AI-driven discovery environments

Responsibilities

Lead the identification and prioritization of AI use cases across the marketing organization, with a focus on efficiency, speed to market, and campaign performance
Build multi-step automated systems that eliminate manual effort and accelerate execution — including automated campaign planning, CRM personalization, lifecycle automation, and intelligent briefing workflows
Design and deploy AI-powered agents and assistants that transform simple inputs — such as target audience, segment, and campaign goal — into complete channel plans, budgets, content briefs, and activation task lists
Connect AI systems to Geotab's sources of truth, including brand guidelines, product documentation, case studies, campaign performance data, and our CRM and marketing automation platforms, to ensure all outputs are accurate, on-brand, and strategically aligned
Implement governance frameworks including citation tracking, tone validation, PII redaction, and human-in-the-loop review steps to ensure AI outputs meet our quality and compliance standards
Monitor AI system performance across usage metrics, output quality, cost efficiency, and adoption rates; continuously iterate to improve reliability and value delivery
Prototype and implement LLM-powered tools that support rapid content generation, A/B testing, and the creation of campaign and landing page variants at scale
Develop and maintain machine learning approaches to forecast marketing trends, predict customer behavior, and surface insights that inform campaign strategy and budget allocation
Rapidly prototype AI solutions and transition them into stable, scalable production environments — balancing speed of experimentation with engineering rigor
Ensure all AI systems meet enterprise standards for data privacy, security, and governance throughout the full development lifecycle
Own the marketing technology stack strategy and roadmap, with responsibility for evaluating, onboarding, integrating, and optimizing martech tools across the organization
Build and maintain robust integrations between platforms including CMS, DAM, marketing automation (Marketo), CRM (Salesforce), analytics (GA4/BI), project management (Jira), and collaboration tools (Slack/Teams) to enable unified data activation and workflow efficiency
Partner with third-party data providers such as Clay, ZoomInfo, and 6sense to enrich lead and account data, improving audience targeting and segmentation capabilities across campaigns
Ensure data flows cleanly and reliably between systems, maintaining data integrity and enabling accurate measurement across the full marketing funnel
Act as the central bridge between technical AI capabilities and marketing strategy — translating complex engineering concepts into actionable approaches for marketing stakeholders, and translating marketing requirements into precise technical specifications
Act as a central resource and subject matter expert for campaign and segment marketers, enabling them to leverage AI tools and workflows effectively in their day-to-day work
Partner with the Senior Marketing Automation Manager(s) to align AI initiatives with marketing automation strategy, ensuring cohesive execution across the Marketing Operations team
Collaborate closely with the Digital Marketing team on AI-driven content discoverability initiatives — including how Geotab content surfaces and is cited within AI-generated search environments such as ChatGPT, Gemini, and Google AI Overviews
Partner with Analytics and BI stakeholders to develop reporting frameworks and campaign performance insights that demonstrate the business impact of AI-driven initiatives
Collaborate with IT, Legal, Security, and Data teams to ensure all AI systems and integrations meet enterprise standards for security, privacy, and compliance
Champion a culture of experimentation and continuous learning within the marketing organization, driving adoption of AI tools through training, documentation, and hands-on support