Engineering Manager, AI/ML

About AuditBoard

Having surpassed $200M ARR and continuing to grow, AuditBoard is the leading audit, risk, ESG, and InfoSec platform on the market. More than 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. And our customers love us: AuditBoard is top-rated on G2.com and Gartner Peer Insights.

At AuditBoard, we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, ESG, and InfoSec platform by our customers. This is how we have become one of the 500 fastest-growing tech companies in North America for the sixth year in a row, as ranked by Deloitte!

Why This Role Is Exciting

We're looking for a highly motivated Engineering Manager to lead our rapidly growing Artificial Intelligence and Machine Learning team. This is a unique opportunity to drive large, strategic, and complex projects that will shape the future of AuditBoard's AI capabilities. You'll need exceptional leadership, empathy, and a passion for mentoring engineers to design and architect highly scalable, performant, and reliable AI/ML solutions.

In this role, you'll tackle exciting challenges, from building robust infrastructure to developing innovative new product features powered by AI. Our ideal candidate thrives on collaboration but can also independently take a concept from ideation through to implementation. We're a hardworking, energetic team deeply committed to our customers and believe that continuous learning, about our users, our product, and cutting-edge technologies, is key to our success.

Responsibilities

• Lead the technical direction and execution for AuditBoard’s AI/ML initiatives.
• Mentor, inspire, and grow a diverse team of engineers with a high degree of empathy and emotional intelligence.
• Manage and develop the team through hiring, retaining, mentoring, and continuously building individual and team capabilities in best practices.
• Develop and nurture strong relationships with Product, QA, Delivery, Design, Customer Support, GTM, and other partners to deliver best-in-class experiences for our users.
• Own the end-to-end build and delivery of AI/ML models, services, and features within AuditBoard's platform.
• Continuously improve all aspects of the product lifecycle, both technical systems and processes, to deliver outstanding results for our customers.
• Work cross-functionally with other engineering teams and product lines to integrate AI/ML capabilities seamlessly into existing and new products.
• Collaborate closely with Product Management to define goals, objectives, and the roadmap for AI/ML initiatives, ensuring alignment with business priorities.
• Iterate and improve on agile best practices to ensure clarity, transparency, and efficient delivery across your team and the organization.

Attributes for a Successful Candidate

Experience with Cloud and Server-Side Programming:

• Strong proficiency with AWS (preferred) or Azure, Python, and ideally Node.js.

Machine Learning Engineering Expertise:

• Solid understanding and hands-on experience with the entire ML lifecycle, including data pipelines, model training, deployment, monitoring, and MLOps.

Bonus Experience:

• Experience working with large-scale data processing and big data technologies relevant to AI/ML (e.g., Spark, Hadoop).
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with natural language processing (NLP), computer vision, or other specialized AI domains.
• Understanding of ethical AI principles and responsible AI development.
• 5+ years of experience developing modern tech stacks.
• 2+ years managing a development team, specifically in an AI/ML context.
• Modern JS Framework

Employment Details

• Salary: CA$164K - CA$246K
• Location Type: Remote
• Employment Type: FullTime