AI Engineering Manager
Posted on 2/6/2024
Geotab

1,001-5,000 employees

Open platform telematics technology provider
Company Overview
Geotab is on a mission to advance technology, empower businesses and make the roads safer for everyone. The company connects vehicles to the internet and provide web-based analytics to help organizations manage their fleets.
AI & Machine Learning
Data & Analytics
Hardware

Company Stage

N/A

Total Funding

N/A

Founded

2000

Headquarters

Oakville, Canada

Growth & Insights
Headcount

6 month growth

3%

1 year growth

2%

2 year growth

9%
Locations
Oakville, ON, Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
CategoriesNew
AI & Machine Learning
Requirements
  • Approximately 10+ years experience in software development and/or data science, with a significant focus on AI systems and technologies
  • 5-8 years of experience in leading and nurturing AI engineering teams
  • Post-secondary Degree/Diploma specialization in Computer Science, Electrical Engineering, Software Engineering, or a related field
  • Experience with generative AI, LLMs, and AI agent development, showcasing a portfolio of complex AI projects preferred
  • Excellent project management acumen, with a history of developing and realizing AI solutions from inception to deployment
  • Compelling communication abilities, comfortable with both written documentation and oral presentations across various organizational levels
  • Track record of mentoring employees, fostering professional growth, and cultivating top-tier engineering talent
  • Analytical problem-solving skills, enabling astute decision-making in both strategic and technical AI contexts
  • A forward-thinking strategist who is adept at adjusting to market and technology changes
  • Staying abreast of the latest advancements in AI and machine learning technologies
Responsibilities
  • Offer strategic oversight and guidance to the AI Engineering team, establishing and actioning project priorities in line with company objectives and resource allocation
  • Collaborate with senior leadership to define, implement, and manage the AI technology development lifecycle, providing insights on LLMs, AI agents, and generative AI design and engineering practices
  • Validate the engineering quality and performance of AI models and frameworks, ensuring compliance with our high standards for reliability and efficiency
  • Lead and mentor the team in exploring and integrating advanced generative AI methodologies, ensuring continuous innovation and skill growth within the team
  • Engage in interdisciplinary meetings to capture diverse needs and transform them into compelling AI-focused engineering endeavors that advance the team’s capabilities
  • Articulate the strategic direction and vision for the AI Engineering team, distilling complex AI concepts into actionable strategies aligned with executive goals
  • Spearhead the design and prototype of new AI-driven products and technology innovations
  • Participate in the design and development of new product ideas, concepts, prototypes, and proofs of concept
  • Implement rigorous testing and validation processes to ensure the accuracy and reliability of AI models
  • Act as a project leader and subject matter expert, driving AI initiatives forward with expert knowledge and strategic insight
  • Cultivate a team culture that resonates with Geotab’s mission, vision, and values, fostering an innovative and inclusive work environment
  • Manage the performance of direct reports by providing proactive direction, coaching, mentorship, and development opportunities
  • Responsible for overall group staffing needs and work with the VP on resource planning and provide forecasting numbers for anticipated net new hires
  • Work with product managers, and generative AI advocates to help build a platform to support our external and internal needs, as well as to define goals and deliverables
  • Contribute to the development of the overall Gen AI roadmap at Geotab
Desired Qualifications
  • Experience with a portfolio of complex AI projects
  • Experience with AI-driven products and technology innovations
  • Experience in developing and realizing AI solutions from inception to deployment
  • Experience in exploring and integrating advanced generative AI methodologies
  • Experience in leading and nurturing AI engineering teams