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Vice President, Operations

Remote / Online - Candidates ideally in
London, Ontario, K5Z, Canada
Listing for: AutoVerify Inc.
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 130000 - 180000 CAD Yearly CAD 130000.00 180000.00 YEAR
Job Description & How to Apply Below

Executive Full Time Canada Remote $130,000 - $180,000 CAD per year

Accelerate your career with Auto Verify! 🚗

About Auto Verify

Auto Verify is a technology company born in London, Ontario. We operate remotely, hiring employees across Canada. Auto Verify is a comprehensive suite of digital solutions tailored toward automotive dealers, manufacturers, lenders, and marketplaces alike. We enable businesses to better serve their customers. Visit our website to learn more:

Under the Hood

Join our team and work from anywhere in Canada – home, coffee shop, or even poolside, because we’re all about remote life. Enjoy perks like paid time off, fun events (virtual and in-person) and half day Fridays all year round to boot. We hire incredible people and your job referrals are not just appreciated; they're rewarded. Our culture is driven by communication and trust, acknowledging and supporting your life outside of work with the flexibility you deserve.

All this to say, we value your journey at Auto Verify, both personally and professionally.

The Roadmap

The Vice President, Operations owns how Auto Verify runs s role ensures the company delivers enterprise‑grade operational infrastructure by designing, documenting, and enforcing the policies, procedures, and controls that enable secure, resilient, and compliant execution across the business. The VP, Operations leads the transition from product‑focused execution to capability‑focused operations, ensuring systems provide the redundancy, SOC 2 compliance, and downside‑risk protection required by major OEMs and lending partners.

This role defines and optimizes the end‑to‑end Quote‑to‑Cash architecture, ensures clean and reliable data flow across platforms, and drives step‑change efficiency through automation and AI. In partnership with Product and Engineering, Operations is always release‑ready, enabling AI‑powered capabilities to perform reliably at scale with minimal to zero human oversight. The role is responsible for improving Revenue Per Employee (RPE), supporting key business decisions, and influencing the company’s long‑term direction.

Growing and maintaining strong relationships with internal teams, vendors, and strategic partners is essential. This is an Executive‑level position reporting to the Chief Executive Officer.

Duties
  • Build and maintain the company’s SOP system (“The AV Way”) with RACIs, version control, audits, and adoption KPIs.
  • Map and optimize cross‑tool data flows (CRM→CPQ→Billing, CX↔Engineering, Product→Billing); set data‑quality SLAs, reconciliation, and alerting.
  • Lead Operations functions:
    Rev Ops (CRM/billing accuracy, quote‑to‑cash hygiene, forecasting data), Biz Ops (process architecture, continuous improvement, EOS scorecard), Internal Automation & Integration (integrations, RPA, LLM‑augmented workflows, prompt library), Training & Enablement (AI literacy, role training, release readiness), and Product Operations.
  • Lead the ERP Modernization initiative:
    Map and govern the full ‘Quote‑to‑Cash’ and ‘Product Development‑to‑Quote’ life cycles. Implement strict RACI charts for data integrity at every handoff.
  • Drive an automation roadmap (3–5 production wins in year one) with ROI tracking; publish Ops/AI scorecards and hit quarterly EOS Rocks.
  • Prioritize manual process standardization to ensure stability before deploying automation.
  • Partner cross‑functionally with Product/Engineering, Growth, CX, and Finance to ensure launch readiness and continuous feedback loops.
  • Manage vendors and internal controls; deliver timely, accurate operational reporting.
  • Support a culture of continuous development through training.
  • Serve as a member of the Executive team and participate in key decisions pertaining to product innovation, revenue growth, strategic initiatives and operations.
Qualifications
  • 10+ years senior operations leadership in high‑growth or SaaS/tech‑enabled environments with ownership of policies, procedures, and internal controls.
  • Proven impact deploying automation/AI in production operations; familiarity with LLMOps/MLOps (evaluation, monitoring, versioning, telemetry, SLOs).
  • Strong background in Enterprise Risk Management, SOC 2 certification, and data

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