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Full-Time

AI Engineering Manager

Posted on 2/6/2024

Geotab

Geotab

1,001-5,000 employees

AI-powered fleet management solutions

Data & Analytics
Automotive & Transportation
Consulting
Hardware
Enterprise Software
Fintech
AI & Machine Learning
Aerospace
Defense

Expert

Oakville, ON, Canada

Category
Applied Machine Learning
Deep Learning
AI Research
AI & Machine Learning
Required Skills
Data Science
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.
  • - Commitment to engaging with the latest AI technologies and methodologies, with the adaptability needed for a rapidly evolving tech landscape.
  • - 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 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 external and internal needs, as well as to define goals and deliverables.
  • - Contribute to the development of the overall Gen AI roadmap at Geotab.

Geotab provides a comprehensive fleet management platform powered by AI and data intelligence, offering telematics, video-based safety, and open integrations to optimize fleet performance. With over 4 million subscriptions and processing more than 75 billion data points a day, Geotab helps customers make better decisions, increase productivity, ensure fleet safety, and achieve sustainability goals.

Company Stage

M&A

Total Funding

N/A

Headquarters

Oakville, Canada

Founded

2000

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-3%

2 year growth

-3%

Benefits

Medical & dental

Retirement savings

Fitness membership

Baby bonus

Flex work arrangements

Home office reimbursement for select items

EV program

Learning reimbursement

INACTIVE