Sr. Manager, Agents

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Manager, Agents based in Canada.

We are seeking an experienced engineering leader to drive the development and growth of next-generation AI-powered agent experiences. In this remote leadership role, you will oversee teams building an intelligent assistant, an agent creation platform, and the extensibility frameworks that support AI agents across multiple product areas. You will lead approximately 10 machine learning engineers, applied scientists, and full-stack engineers through two technical leads, combining strategic direction with hands-on technical leadership. Your focus will be on making AI-powered experiences more reliable, accessible, and valuable to customers by improving answer quality, increasing adoption, and encouraging ongoing engagement. You will also help internal product teams build and launch their own agents using a shared platform. This is an opportunity to shape a growing product area, establish technical standards, and build a high-performing team in a fast-paced, AI-forward environment.

Accountabilities: -

Lead the teams responsible for the AI Assistant, Agent Studio, and Agent Extensibility, managing approximately 10 engineers through two technical leads.

• Define and execute the product and engineering strategy to scale AI agent experiences and make them an essential part of customers' daily workflows.

• Increase customer activation and adoption through recommended questions, automatically generated reports, proactive agents, and other engagement initiatives.

• Improve answer quality, reliability, and customer trust to drive repeat usage and long-term engagement.

• Establish technical direction through architecture decisions, RFCs, design reviews, and engineering standards for a platform used by both customers and internal teams.

• Raise engineering standards for AI development across coding practices, model evaluation, testing, and production operations.

• Partner with product and engineering teams across areas such as Safety and Maintenance to help them build, integrate, and launch agents on the platform.

• Balance platform development with customer-facing product improvements, ensuring the underlying frameworks support scalable and effective agent experiences.

• Hire, develop, and retain a diverse, engaged, and high-performing team, supporting the growth of engineers and technical leads.

• Foster a collaborative culture centered on customer success, long-term thinking, continuous learning, inclusion, and shared ownership.

• Work closely with senior leadership and cross-functional stakeholders to prioritize initiatives and deliver meaningful product outcomes.

Requirements:

• 10+ years of software engineering experience, including at least 5 years managing engineering teams.

• Proven experience managing engineering teams and technical leads.

• Strong background spanning both machine learning and software engineering, including experience building agentic systems and traditional production software.

• Track record of delivering production systems used at scale by external B2B or B2C customers.

• Experience taking products from concept to launch in fast-moving, zero-to-one environments.

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.

• Strong technical judgment and the ability to guide architecture, product development, and engineering execution across multidisciplinary teams.

• Demonstrated ability to lead through others, develop technical leaders, and create an environment where teams can deliver high-quality results.

• Customer-focused mindset, with an understanding of product adoption, activation, retention, and user trust.

Nice to have:

• Experience designing and scaling an agent platform that enables other engineering teams to build and deploy their own agents.

• Background developing customer-facing AI products, rather than exclusively backend agent systems.

• Experience improving activation and retention through recommendations, proactive experiences, or product engagement loops.

• Expertise in establishing evaluation frameworks and quality metrics for LLM-powered products.

• Experience leading multidisciplinary teams of machine learning engineers, applied scientists, and full-stack engineers.

• Master's degree or PhD in Computer Science, Machine Learning, or a related field.

• Strong interest in applying AI to engineering workflows, product development, evaluation, and operations.

Benefits:

• Annual base salary ranging from CAD $154,800 to CAD $212,850, depending on location, skills, experience, and other job-related factors.

• Eligibility for an initial restricted stock unit (RSU) grant with no vesting cliff, as well as ongoing performance-based equity refresh opportunities, subject to plan terms.

• Performance-based bonus or variable compensation.

• Competitive total compensation, with opportunities for high performers to earn above-market rewards.

• Flexible, employee-led remote working model.

• Professional development stipend.

• Comprehensive health benefits.

• Parental leave plans.

• Opportunity to work on high-impact AI products at scale.

• Collaborative, inclusive environment with opportunities for professional growth and technical leadership.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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