195K–292K CAD / year

Implementation Consultant (Global)

Customer successHybrid — Toronto, Canada
Published on 2026-11-12
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Lead complex Stripe implementations, migrations, product launches, and international expansions for strategic AI companies. Own delivery from planning through production launch and stabilization, while developing repeatable implementation methods for the broader AI segment.

About the company

Stripe provides payment infrastructure and financial tools that help businesses accept payments, manage subscriptions, and move money globally. It serves startups through large enterprises with APIs for online and in-person commerce.

The team

Professional Services

Stack

APIsSQLAI assistants and LLM-based tools

What you'll do

  • Own implementations from contract signing through launch and stabilization
  • Translate business and technical needs into scoped plans, milestones, owners, and completion criteria
  • Manage cross-product, regional, and cross-functional delivery plans
  • Lead governance, executive updates, risk tracking, and launch-readiness reviews
  • Coordinate architecture, testing, data migration, and operational readiness with engineering teams and users
  • Guide stakeholder alignment, process design, training, and knowledge transfer
  • Use AI-assisted tools to improve delivery planning and risk identification
  • Turn engagement lessons into reusable plans, governance models, and checklists

What we're looking for

  • 6+ years leading technology implementations, professional services engagements, technical programs, or complex customer onboarding
  • Track record delivering complex programs through production launch
  • Ability to turn business and technical requirements into implementation plans
  • Strong project management, risk management, stakeholder governance, and executive communication skills
  • Ability to work effectively with engineering teams and explain technical concepts to business stakeholders
  • Sound judgment amid ambiguity, shifting priorities, and cross-team dependencies
  • Experience improving processes and creating repeatable methods
  • Excellent written and verbal communication; able to work independently

Nice to have

  • Experience with AI-native companies, developer infrastructure, cloud platforms, or fast-scaling technology companies
  • Experience at a growth-stage internet or software company
  • Payments or financial infrastructure experience
  • Working knowledge of APIs, systems integration, data migration, SQL, and software delivery lifecycles
  • Experience using AI assistants or LLM-based tools

Benefits

  • Equity
  • Company bonus or sales commissions/bonuses may be included
  • Retirement plans
  • Health benefits
  • Wellness stipends
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