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Remote Pilot Jobs in Ontario (NOW HIRING)

This role is a full-time and fully remote opportunity! We're looking for a Product Manager who ... Acceptance criteria and customer-pilot targets. * The customer voice in every spec review.

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Remote Pilot information

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$12

$36

$71

How much do remote pilot jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote pilot in Ontario is $36.39, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $46.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote pilot, and why are they important?

To thrive as a Remote Pilot, you need strong spatial awareness, technical understanding of unmanned aerial vehicles (UAVs), and typically a Remote Pilot Certificate from the FAA (Part 107 in the U.S.). Familiarity with flight planning software, GPS navigation systems, and drone-specific hardware is often required. Excellent situational awareness, communication, and problem-solving skills set outstanding remote pilots apart. These competencies are crucial for ensuring safe, efficient, and compliant drone operations across diverse environments.

What is the difference between Remote Pilot vs Drone Operator?

AspectRemote PilotDrone Operator
CertificationsFAA Part 107 Remote Pilot CertificateOften holds similar certifications, but may not be required to operate commercially
Work EnvironmentTypically responsible for flight planning, safety, and compliance; may oversee multiple dronesPrimarily focuses on operating drones during missions or shoots
Industry UsageUsed across industries like surveying, agriculture, filmmaking, and inspectionCommonly used in filming, photography, and recreational activities

The main difference is that a Remote Pilot holds specific certifications and oversees drone operations, ensuring safety and compliance, while a Drone Operator primarily focuses on flying drones during specific tasks. Both roles are integral in industries utilizing drone technology, but the Remote Pilot often has broader responsibilities and regulatory knowledge.

What are some common challenges remote pilots face when operating drones for commercial purposes?

Remote Pilots often encounter challenges such as maintaining strong situational awareness when flying drones beyond visual line of sight, navigating complex airspace regulations, and ensuring safe operations in changing weather conditions. Additionally, balancing real-time communication with team members, such as visual observers or project managers, is crucial for successful missions. Staying current with technology updates and regulatory changes is also essential for continued success in this fast-evolving field.

What is a remote pilot?

A remote pilot controls an unmanned aerial vehicle (UAV). As a remote pilot, your duties include flying and maintaining a drone and its systems, as well as remaining up-to-date on all FAA regulations regarding UAVs. To become a remote pilot, you must be at least 16 years old, be physically capable of handling a drone, and pass an FAA certification exam to demonstrate your knowledge and ability to manage the risks of flight. Career pilots must also be certified to handle unmanned aerial vehicles.

What are the most commonly searched types of Pilot jobs in Ontario? The most popular types of Pilot jobs in Ontario are:
What are popular job titles related to Remote Pilot jobs in Ontario? For Remote Pilot jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Pilot jobs in Ontario look for? The top searched job categories for Remote Pilot jobs in Ontario are:
Infographic showing various Remote Pilot job openings in Ontario as of August 2026, with employment types broken down into 67% Full Time, 20% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $75,684 per year, or $36.4 per hour.

Product Manager - Services

TTEC Digital

Toronto, ON • Remote

Full-time

Re-posted 4 days ago


Job description

TTEC Digital seeks a Product Manager- Services to join our team. This role is a full-time and fully remote opportunity! 
 

We're looking for a Product Manager who ships with enough craft and intent that the work stands apart in a category where everyone launches at the same height. Builds with excellence, moves fast, and doesn't treat the two as a tradeoff. 

The work:

We're an innovation group inside TTEC (NASDAQ: TTEC), building the next generation of AI CX tools - automated QA, conversational analytics, knowledge assist, and agentic automation - for the world's biggest brands and the millions of customers they serve. We move like an early-stage startup, backed by the scale, distribution, and enterprise client base of a company that's been obsessed with customer experience since 1982. 

This is the rare seat where getting in early actually matters at scale. TTEC is a public company at an AI inflection point. Ship the right products into thousands of live enterprise deployments and you don't just move a metric - you move the trajectory of the company and the value of the stock. The leverage is real, and the work compounds. 

The role:

You're one of two PMs reporting to the VP, Product Management. You own the platform behind the product - the AI services, Desktop Intercept, and Integrations that power every surface an agent or supervisor sees. Your counterpart, PM - Workspace, owns the Agent UI, Control UI, and Active Listening UX on top of what you build. You partner constantly; you own different halves of the same product. 

What You Will Do:

AI Services 

The backend capabilities powering QA, conversational analytics, knowledge assist, and agentic automation - transcription, scoring, retrieval, and the action layer - exposed as clean APIs the rest of the platform and our customers build on. Eval, guardrails, latency, and cost-per-interaction are your daily currency. 

Desktop Intercept 

The client that captures what happens on the agent's desktop and telephony stack - events, screen, and interaction signal - and feeds the AI in real time. A systems-level product: OS integration, performance footprint, reliability, and PII redaction/privacy by design. 

Integrations 

The connector surface into CCaaS (NICE, Genesys, Five9, Talkdesk), CRMs and helpdesks (Salesforce, Zendesk), telephony/CTI, and data warehouses - plus the auth, SSO, webhooks, and partner relationships behind them. Integrations are how deals close, and how they churn. 

Day to day, that means:

  • Own the AI services API contract, the Desktop Intercept client, and the integration roadmap end to end. 

  • Set latency and cost budgets per service - and hold the org to them. 

  • Own eval and guardrails as product: define what "good" and "safe" mean for each AI service and how it's measured before and after ship. 

  • Prioritize the integration roadmap by revenue impact - which connector unlocks which deals. 

  • Treat reliability, privacy, and PII handling as features, not compliance chores. 

What every PM here owns:

  • A capability area's backlog and specs. 

  • Acceptance criteria and customer-pilot targets. 

  • The customer voice in every spec review. 

  • Billing-meter and RBAC scoping per feature. 

And every PM writes the one-page specs that gate every build. 

The instincts we screen for:

Your itch for taste and craft is as strong as your comfort building with AI. You care about every word on a screen; you think about information hierarchy and user psychology before visual design; and you think natively about what AI makes possible that wasn't possible before - not chat wrappers, but agents that take real actions and resolve real problems. These two instincts rarely live in the same person.

What You Will Bring:
  • 7+ years of product in B2B SaaS; contact-center, CCaaS, or developer-platform experience strongly preferred. 

  • Writes crisp one-page specs that an engineer can build from without a meeting. 

  • Technical enough to reason about events, plugins, and latency budgets - you don't need a translator. 

  • Has shipped to real enterprise customers on a fast cadence, with the scar tissue to prove it. 

  • Reads the market. Knows the competition cold - who's winning, why, and where they're exposed - and has a point of view. 

  • Business-fluent. Frames decisions in ARR, attach, retention, and margin. Can sell a bet to a CRO, not just to engineering. Treats pricing and packaging as product. 

  • Has taste. Can tell within 30 seconds of a demo whether a flow will wow a buyer or lose the deal. 

  • Shows their work. Brings a competitor teardown or packaging proposal to the final round. 

What the Services PM role specifically needs:

  • Platform, API, or developer-tools PM experience - you've shipped something other engineers or partners build on top of. 

  • Reasons fluently about events, plugins, latency budgets, and failure modes. You debug the trace, not just read the summary. 

  • Has owned LLM-backed services in production and understands eval, guardrails, and non-determinism first-hand - not from a blog post. 

  • Integration and partner-ecosystem experience: CCaaS, CRM, telephony, or data-warehouse connectors, with the auth / SSO / webhook plumbing that comes with them. 

  • Comfortable with the privacy and PII-redaction demands of capturing real customer conversations at scale. 

  • Bonus: exposure to desktop or native-client capture, CTI, or contact-center telephony. 

The bar:

You'll work directly with a team that holds each other to a high bar across everything we produce: product thinking, growth, copy, demos, user research, and monetization. The environment is intense and the learning curve is steep. We're assembling the best product team in CX. 

Show your work: in the final round, bring a teardown of a competitor's API or integration surface - or their eval and guardrail approach - where it's strong, where it's exposed, and the one bet you'd make. 

If you belong in this room - bring the teardown - reach out.

$0 - $1 a year
#LI-JF1#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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