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Autonomous Jobs in Ontario (NOW HIRING)

Waabi

Lead Product Manager, Autonomy

Toronto, ON

CA$165K - CA$260K/yr

With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with ...

Waabi

Your innovative approach will aid in real-world applications of autonomous systems, making a meaningful impact. Key Responsibilities: • Contribute to the autonomy stack for self-driving initiatives ...

Gatik AI

Operations Supervisor, Fleet

Toronto, ON

Who we are Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe ...

Waabi

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with ...

Quantum Space

Working closely with flight software, ground software, autonomy, mission operations, guidance, navigation and control (GNC), communications, and spacecraft subsystem teams, you will help develop ...

Waabi

Senior / Staff Applied Scientist

Toronto, ON · On-site +1

CA$146K - CA$280K/yr

With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with ...

TSMG

Automotive Test Driver

Toronto, ON · On-site

Role Overview We are looking for experienced drivers with a background in automotive or Autonomous Vehicle (AV) projects to support vehicle testing operations in Canada. This role involves monitoring ...

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Autonomous information

What are the key skills and qualifications needed to thrive as an autonomous vehicle engineer?

To thrive as an Autonomous Vehicle Engineer, you need solid expertise in robotics, computer vision, machine learning, and a background in computer science or engineering. Familiarity with programming languages like Python and C++, as well as experience with ROS (Robot Operating System) and simulation tools, is typically required. Strong problem-solving skills, attention to detail, and effective teamwork set standout professionals apart. These abilities are crucial for developing safe, reliable autonomous systems that perform well in complex, real-world environments.

How does an autonomous systems engineer typically collaborate with cross-functional teams during a project?

Autonomous Systems Engineers work closely with software developers, hardware engineers, data scientists, and project managers to design, test, and deploy autonomous technologies. Collaboration often involves regular team meetings, sharing technical documentation, and joint problem-solving sessions to ensure seamless integration of system components. Engineers may also coordinate with testing teams to validate system performance and safety, making effective communication and teamwork essential skills in this role.

What is an autonomous job?

Autonomous jobs refer to roles or tasks that are performed independently, often with minimal supervision or direction. In the context of technology, autonomous jobs usually involve the use of artificial intelligence or robotics to carry out work without constant human intervention. These positions might include operating or overseeing autonomous vehicles, managing automated systems, or developing technologies that support automation. The goal is to improve efficiency, safety, and productivity by reducing the need for manual oversight. Careers in this field can span across industries such as transportation, manufacturing, logistics, and IT.
What are popular job titles related to Autonomous jobs in Ontario? For Autonomous jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Autonomous jobs in Ontario look for? The top searched job categories for Autonomous jobs in Ontario are:
Autonomous jobs near you
Infographic showing various Autonomous job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Product Manager - Autonomous Agents

Netomi

Toronto, ON

Full-time

Posted 13 days ago

Job description

About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world's largest global brands do business? Join us!

About the Role

Netomi is hiring a Senior Product Manager to own the product strategy and execution roadmap for Autonomous Agents in the conversational AI domain. This role is responsible for defining how Netomi's agents reason, plan, execute multi-step tasks, and collaborate across channels-from chat and voice to email and messaging-in production-grade enterprise environments.

You will work at the intersection of agentic AI research, real-world enterprise deployments, and platform reliability. You will define what autonomous agents look like for Netomi customers: how they understand goals, invoke tools and APIs, manage state across long-horizon tasks, recover from failures, and hand off gracefully to human agents when needed.

You should understand what 'successful autonomous agent deployment' looks like in production: multi-turn reasoning loops, tool/workflow execution reliability, memory and context management, human-in-the-loop escalation, observability of agent behavior, and cost/latency constraints at enterprise scale.

Responsibilities

  • Own the Autonomous Agents roadmap end-to-end: problem discovery, prioritization, spec writing, delivery coordination, and outcome tracking.

  • Translate enterprise customer and partner needs into product requirements, working closely with Customer Success, Delivery, and Sales/RevOps.

  • Partner with Applied Research and Data Science to define evaluation criteria, benchmark programs, and quality gates for agentic AI capabilities.

  • Drive cross-functional alignment across Engineering (Runtime, Studio, Channels, SDKs), QA, and Delivery on scope, dependencies, and launch readiness.

  • Establish instrumentation requirements and ensure every shipped agent capability has the telemetry needed to measure usage, reliability, and outcomes.

  • Run planning and execution cadence: quarterly roadmap inputs, monthly scope lock, weekly execution reviews, and launch readiness sign-offs.

  • Drive post-release learning: monitoring windows, post-incident reviews (PIRs), and systematic feedback loops into roadmap planning.

Requirements

  • Engineering degree with 5+ years of progressive product management experience; an MBA from a Tier 1 institute is a plus.

  • Proven ownership of a complex, multi-surface product area with demonstrated delivery of technical features to enterprise customers.

  • Deep understanding of conversational AI and agentic systems, including:

  • LLM-based reasoning, tool calling, and multi-step task execution.

  • Agent orchestration patterns (supervisor/sub-agent, planning loops, HITL escalation).

  • Evaluation methodologies for AI systems: task completion, goal accuracy, regression, and drift.

  • Production observability for AI agents: tracing, logging, alerting, and failure analysis.

  • Strong technical fluency: APIs, distributed systems, cloud environments, and AI/ML deployment workflows.

  • Excellent stakeholder leadership and executive communication; ability to drive alignment across research, engineering, and GTM without direct authority.

  • Customer-first mindset with experience translating enterprise customer needs into clear, actionable product requirements.

Preferred Qualifications

  • Experience building or shipping AI agent products at a conversational AI, NLU, or enterprise AI platform company.

  • Familiarity with agentic frameworks and protocols (e.g., LangChain, LangGraph, Model Context Protocol, OpenAI function calling, tool-use patterns).

  • Experience supporting regulated or mission-critical environments (financial services, airlines/telephony, healthcare, payments).

  • Experience working with large SI/partner ecosystems and coordinating enablement and customer success programs.

  • Background in or strong familiarity with progressive delivery (feature flags, canary rollouts), incident management, and post-incident learning disciplines.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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