Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Geotab is seeking a Senior Marketing AI & Systems Manager to design, build, and integrate AI tools into our marketing stack to drive growth, personalization, and efficiency. This high-impact role bridges software development and go-to-market strategy at the intersection of marketing, artificial intelligence, and technology integration.

Responsibilities

• Design, build, and integrate AI tools directly into our marketing stack to drive growth, personalization, and efficiency.
• Deploy production-grade systems that help the marketing organization move faster, produce better work, and drive stronger business results.
• Own the governance, evaluation, and evolution of the marketing technology ecosystem, ensuring tools are connected, optimized, and delivering measurable value.
• Lead the identification and prioritization of AI use cases across the marketing organization, focusing 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 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 CRM and marketing automation platforms.
• Implement governance frameworks including citation tracking, tone validation, PII redaction, and human-in-the-loop review steps.
• Monitor AI system performance across usage metrics, output quality, cost efficiency, and adoption rates, continuously iterating 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, evaluating, onboarding, integrating, and optimizing martech tools.
• 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).
• Partner with third-party data providers such as Clay, ZoomInfo, and 6sense to enrich lead and account data, improving audience targeting and segmentation capabilities.
• 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.
• Partner with Senior Marketing Automation Manager(s) to align AI initiatives with marketing automation strategy.
• Collaborate with the Digital Marketing team on AI-driven content discoverability initiatives.
• 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.

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.
• 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.
• Must have reliable internet connection with at least 50mb DL/10mb UL when working from home.

Skills

• AI tools
• Conversational agents
• Predictive models
• Autonomous workflows
• Marketing stack integration
• Growth
• Personalization
• Efficiency
• Software development
• Go-to-market strategy
• Artificial intelligence
• Technology integration
• Marketing technology ecosystem
• Campaign performance
• Automated systems
• Campaign planning
• CRM personalization
• Lifecycle automation
• Intelligent briefing workflows
• AI-powered agents
• AI-powered assistants
• Brand guidelines
• Product documentation
• Case studies
• Campaign performance data
• Governance frameworks
• Citation tracking
• Tone validation
• PII redaction
• Human-in-the-loop review
• LLM
• Content generation
• A/B testing
• Machine learning
• Marketing trends forecasting
• Customer behavior prediction
• Data analytics
• Data privacy
• Security
• Martech tools
• CMS
• DAM
• Marketo
• Salesforce
• GA4
• BI
• Jira
• Slack
• Teams
• Data enrichment
• Audience targeting
• Segmentation
• Data integrity
• Marketing funnel measurement
• AI architecture
• Workflow improvements
• AI search optimization
• Answer engine optimization (AEO)
• Python
• TypeScript
• Context engineering
• LLM APIs
• OpenAI
• Anthropic Claude
• LangChain
• LangGraph
• LlamaIndex
• Google Agent Development Kit (ADK)
• Vector databases
• pgvector
• Pinecone
• Weaviate
• Knowledge retrieval systems
• Integration platforms
• Workflow automation tools
• Workato
• Make
• Zapier
• HTML
• CSS
• Enterprise security practices
• OAuth
• SSO
• Cloud deployment standards
• B2B data enrichment platforms
• Clay
• ZoomInfo
• 6sense
• Intent data strategies

Location

• Hybrid

Work Type

• Hybrid
• Full-time

Experience Level

• Senior
• 7+ years

Salary/Compensations

• $116,200—$140,000 CAD

Benefits

• Flex working arrangements
• Home office reimbursement program
• Baby bonus & parental leave top up program
• Online learning and networking opportunities
• Electric vehicle purchase incentive program
• Competitive medical and dental benefits
• Retirement savings program

About the Company

• Geotab is a global leader in IoT and connected transportation and certified “Great Place to Work™.”
• We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.
• Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets.
• Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets.
• Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.
• Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact.
• Ours is a fast paced, ever changing environment.
• Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description.
• Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture.
• Reach your full potential with Geotab.
• To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram.
• At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work.
• However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like.
• When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL.
• Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working.
• The health and safety of employees are a top priority.
• We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings.
• Join us and help reshape the future of technology!
• We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business.
• We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together.
• Geotab encourages applications from all qualified individuals.
• We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired.
• We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes.
• If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com.
• By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy.
• Click here to read our Privacy Notice.

Equal Opportunity

• Geotab encourages applications from all qualified individuals.
• We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired.
• We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes.
• If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com.