Sr. Manager, Agents
Role Overview
Lead teams behind Samsara Assistant, Agent Studio, and Agent Extensibility, products for customer chat and voice agents using safety, maintenance, and operations data.
The role leads about 10 machine learning engineers, applied scientists, and full-stack engineers through two tech leads.
The team builds a platform for Samsara teams and customers and helps partner engineering teams launch their own agents.
Remote position open to candidates residing in the US and Canada.
Key Skills for This Role
Full Job Posting
About the role
Lead teams behind Samsara Assistant, Agent Studio, and Agent Extensibility, products for customer chat and voice agents using safety, maintenance, and operations data.
The role leads about 10 machine learning engineers, applied scientists, and full-stack engineers through two tech leads.
The team builds a platform for Samsara teams and customers and helps partner engineering teams launch their own agents.
Remote position open to candidates residing in the US and Canada.
Role responsibilities
- Own Assistant, Agent Studio, and Agent Extensibility; grow activation through recommendations, generated reports, and proactive agents.
- Improve answer quality and repeat usage; set technical direction through RFCs and design reviews.
- Raise AI engineering standards across coding, evaluation, and operations; partner with product teams to launch agents.
- Hire, develop, and lead an inclusive, high-performing team; champion company cultural principles.
Minimum requirements
- 10+ years of software engineering experience, including 5+ years managing engineering teams.
- Experience managing engineering teams and tech leads; experience across machine learning and software engineering, including agentic systems and traditional production software.
- Track record shipping production systems used at scale by external B2B or B2C customers.
- Experience building zero-to-one products in a fast-moving environment.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
Additional qualifications
- Preferred: designed and scaled an agent platform for other teams or built customer-facing AI products.
- Preferred: improved activation or retention through recommendations, proactive experiences, or usage loops; established evaluations and quality metrics for LLM products.
- Preferred: led machine learning engineers, applied scientists, and full-stack engineers together; holds a Master’s or PhD in a related field.
Compensation
- Annual base salary range for full-time employees is CAD 154,800–CAD 212,850; pay depends on primary work location and other job-related factors.
- Role is eligible for an initial RSU grant and ongoing refresh opportunities, subject to plan terms; total rewards may include bonus and equity.
Benefits and work model
- Benefits include a professional development stipend, health and parental leave plans, and flexible remote work.
- The company supports remote work and office-based work where aligned with operational requirements.
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