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Car Show Modeling Jobs in Toronto, ON (NOW HIRING)

Senior Software AI Developer

Toronto, ON · On-site

CA$107K - CA$157K/yr

... models, account & user management. We solve complex problems, build highly scalable and reliable ... If you've ever driven a high- performance car, admired a towering skyscraper, used a smartphone, or ...

Car Show Modeling information

What is car show modeling?

Car show modeling is a profession where individuals, often referred to as promotional models or booth models, are hired to represent automotive brands at car shows, trade shows, and promotional events. Their primary role is to attract attention to vehicles on display, interact with attendees, provide information about the cars, and enhance the overall brand image. Car show models may also participate in photo opportunities, distribute promotional material, and assist with event activities. This job requires excellent communication skills, a professional appearance, and the ability to engage with the public effectively. Many car show models work on a freelance or contract basis for agencies or directly with automotive companies.

What are the typical responsibilities and expectations for a car show model during an automotive event?

Car Show Models are expected to represent automotive brands professionally by engaging with event attendees, posing with vehicles for photos, and communicating key product features. They often collaborate closely with marketing teams and brand representatives to ensure consistent messaging and may assist with demonstrations or presentations. Maintaining a polished appearance, punctuality, and strong interpersonal skills are essential, as the role involves long hours on the event floor and significant public interaction. Adaptability is important, as responsibilities can vary based on the event's size and the brand’s promotional strategy.

What are the key skills and qualifications needed to thrive as a car show model, and why are they important?

To thrive as a Car Show Model, you need a professional appearance, strong presentation skills, and experience in promotional modeling or related fields. Familiarity with automotive brands, event protocols, and sometimes knowledge of modeling agencies or certifications can be advantageous. Exceptional communication, confidence, and the ability to engage with diverse audiences help models stand out. These skills are crucial for effectively representing brands, interacting with attendees, and contributing to a successful event experience.

What is the difference between Car Show Modeling vs Car Promotional Modeling?

AspectCar Show ModelingCar Promotional Modeling
CredentialsTypically no formal certifications, but attractive appearance and communication skills preferredSimilar; focus on appearance and promotional skills
Work EnvironmentAuto shows, trade events, car launchesPromotional events, dealership promotions, product launches
Employer & IndustryAutomotive manufacturers, event organizersMarketing agencies, automotive brands, dealerships
Search & Comparison IntentInterested in modeling at auto showsLooking for promotional event roles involving cars

Car Show Modeling involves representing vehicles at auto shows and industry events, focusing on appearance and presentation. Car Promotional Modeling, on the other hand, emphasizes promoting specific car brands or products at various marketing events. While both roles require a similar appearance and communication skills, their settings and objectives differ slightly, with car show models primarily showcasing vehicles and promotional models engaging directly with potential customers.

What are popular job titles related to Car Show Modeling jobs in Toronto, ON?

For Car Show Modeling jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Car Show Modeling jobs in Toronto, ON look for?

The top searched job categories for Car Show Modeling jobs in Toronto, ON are:

Engineering Manager, Quality Engineering

Toronto, ON

Full-time

Retirement

Re-posted 16 days ago


Job description

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.caAutoSyncDealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence.
As part of AutoScout24 group, Europe's largest online car marketplace, we're shaping the future of automotive retail in Canada and beyond.
Learn more at tradercorporation.com.
 
This role will be within the AutoSync team. AutoSync supports over 3,500 dealerships nationwide, delivering cutting-edge software tools to simplify operations, boost marketing, and drive sales.
 
Role: Engineering Manager, Quality Engineering 
 

Location: Toronto

ABOUT THE ROLE 

At AutoSync, quality is owned by every product engineering team. The Quality Engineering team exists to make that possible at scale. We are looking for an Engineering Manager to lead a small, high-impact team focused on quality enablement, agentic engineering, tooling, metrics, and coaching. This is not a traditional QA management role, and it is not a centralized testing function. The team acts as a center of practice for quality: helping engineers and teams build, test, ship, and operate healthier products themselves.

A major part of this mission is helping AutoSync move from ad hoc AI prompting toward a mature "on-the-loop" agentic model. In this model, engineers supervise capable agents that can support planning, implementation, testing, triage, pipeline diagnosis, and quality improvement through clear workflows, guardrails, and measurable outcomes. 

You will manage up to 5 direct reports and work closely with engineering managers, staff engineers, product leaders, platform teams, and cross-department stakeholders. This role is ideal for a technical people leader who can combine engineering judgment, quality strategy, agentic tooling, and organizational influence.

WHAT YOU WILL LEAD

Agentic Quality Engineering

  • Define how AutoSync uses agentic coding tools such as Codex and similar platforms to improve engineering quality and developer effectiveness.
  • Build, mature, and scale reusable testing and quality agents, skills, workflows, and integrations that serve multiple engineering teams.
  • Establish practical patterns for agent supervision, validation, traceability, human review, and safe adoption.
  • Help teams move from manual prompting to reliable on-the-loop workflows where agents reduce toil, and engineers stay accountable for outcomes.
  • Evaluate emerging agentic tooling and translate useful capabilities into practical engineering workflows.

Quality Practice and Maturity

  • Own and evolve AutoSync's quality maturity model, maturity indexes, standards, and KPIs.
  • Coach engineering teams and individual engineers on modern testing, quality, and delivery practices.
  • Embed quality practices into planning, delivery, release, and operational rituals.
  • Participate in team ceremonies and cross-department planning where quality, delivery health, or engineering maturity are at stake.
  • Shift the organization away from centralized test execution and toward product-team ownership of quality.

Metrics, Dashboards, and Quality Intelligence

  • Design and build metrics and dashboards that show pipeline quality, product quality, release health, and engineering maturity.
  • Provide visibility at team, product, and AutoSync-wide levels.
  • Use data to identify quality risks, slow feedback loops, flaky tests, pipeline bottlenecks, escaped defects, and coaching opportunities.
  • Help engineering leadership make better investment and tradeoff decisions using clear quality signals

Training and Enablement

  • Create and run workshops, training sessions, and coaching programs for engineers and teams.
  • Build practical playbooks, examples, golden paths, and knowledge bases for quality engineering and agentic workflows.
  • Grow a community of practice around quality, testing, engineering health, and AI-assisted delivery.

People and Technical Leadership

  • Manage, coach, and develop 3 direct reports.
  • Set priorities and technical direction for the Quality Engineering team.
  • Balance experimentation with operational reliability and measurable business impact.
  • Model strong technical judgment, including the ability to reason about automation, pipelines, test strategy, and agentic workflows.
  • Partner with engineering leaders across AutoSync to drive change without relying only on direct authority.

WHAT SUCCESS LOOKS LIKE

  • Engineering teams have clear quality standards, measurable maturity indicators, and practical guidance they can use independently.
  • Agentic workflows reduce manual toil in test generation, test maintenance, pipeline diagnosis, defect triage, and quality analysis.
  • Quality dashboards are trusted by teams and leadership for planning, prioritization, and continuous improvement.
  • Training and coaching lead to visible improvements in testing practices, release confidence, and product health.
  • The Quality Engineering team is seen as an enablement partner and center of practice, not as a gatekeeper or outsourced test execution team

WHAT WE ARE LOOKING FOR

Required Experience

  • Experience managing, coaching, and developing engineers in a software engineering organization.
  • Strong background in quality engineering, test automation, CI/CD, or engineering productivity.
  • Hands-on understanding of modern testing practices across unit, integration, contract, end-to-end, performance, and reliability testing.
  • Practical experience with AI-assisted or agentic coding tools such as Codex, Claude Code, Cursor, GitHub Copilot, or similar tools.
  • Ability to define quality strategies, maturity models, standards, KPIs, or engineering health metrics across multiple teams.
  • Strong technical fluency in at least one modern programming language such as TypeScript, JavaScript, Python, Go, Java, or similar.
  • Experience building or improving developer tooling, automation, dashboards, or quality platforms.
  • Strong communication, coaching, facilitation, and stakeholder management skills.
  • A platform and enablement mindset: success is measured by how much better other teams become, not by how much work is centralized in your team.

Preferred Experience

  • Experience building or operating agentic workflows, including tool calling, agent orchestration, MCP servers, reusable skills, eval harnesses, or guardrails.
  • Understanding of quality challenges in AI-assisted systems, including non-determinism, regression testing, output validation, hallucination risk, and human review.
  • Experience with observability and quality dashboards using tools such as Grafana, Datadog, CloudWatch, Looker, or similar.
  • Experience with cloud-native, distributed, event-driven, web, or mobile systems.
  • Experience scaling quality practices across multiple product teams, domains, or business units.
  • Experience in a center-of-excellence, center-of-practice, platform, or engineering enablement model.
  • Experience designing and facilitating technical workshops, training programs, or internal communities of practice.

WHAT THIS ROLE IS NOT

  • It is not a traditional QA manager role focused on assigning manual test execution.
  • It is not a centralized team that writes and owns all test cases for product teams.
  • It is not an AI experimentation role without delivery accountability.
  • It is not only about dashboards or process. The role must connect metrics, tooling, agents, coaching, and engineering behavior change.

What's In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

  • Gym discounts
  • Employee and Family Assistance program
  • Virtual wellness events
  • Conferences & training budget
  • Regular internal training programs
  • Financial planning with 3% matching Pension  
  • Competitive salary
  • Annual bonus structure 

For a career where you can drive our business and shape your future, apply now.