Senior Marketing AI & Systems Manager

Who we are:

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 ourblog and follow us @InsideGeotab onInstagram .

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! 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. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Senior Marketing AI & Systems Manageryour key area of responsibility will be to design, build, and integrate AI tools directly into our marketing stack to drive growth, personalization, and efficiency. You won't just evaluate AI tools or follow the wave — you will build on it, deploying production‑grade systems that help our marketing organization move faster, produce better work, and drive stronger business results.

You will also own the governance, evaluation, and evolution of our marketing technology ecosystem, ensuring that every tool we invest in is connected, optimized, and delivering measurable value. If you are energized by solving complex operational problems with emerging technology, thrive at the crossroads of marketing and engineering, and want to shape how a global organization leverages AI — this role is for you.

How you'll make an impact:

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.

What you'll bring to the role:

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.

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

This posting is for an existing vacancy.

Why job seekers choose Geotab:

• 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

*The above are offered to full‑time permanent employees only

How we work:

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.

The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.

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