Implementation Consultant, Professional Services

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world's largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Stripe is building a dedicated Professional Services practice for the world's leading AI companies. We work with AI labs, infrastructure providers, and application companies whose work with Stripe spans products, regions, and teams.

As an Implementation Consultant, you will lead complex implementations, migrations, product launches, and international expansions. You will define the outcome, align owners and dependencies, manage risk, and guide users through production launch. You will also turn lessons from strategic engagements into repeatable delivery methods for the wider AI segment.

What you'll do

Responsibilities

• Own the implementation lifecycle for strategic AI companies, from contract signing through planning, build, testing, production launch, and stabilization.
• Translate business goals and technical requirements into a clear implementation strategy with defined scope, milestones, owners, dependencies, and completion criteria.
• Build and manage delivery plans across Stripe products, regions, user workstreams, and internal teams.
• Lead implementation governance, including working sessions, executive updates, decision tracking, risk management, and launch-readiness reviews.
• Partner with Integration Engineers and user technical teams to align architecture, implementation sequencing, testing, data migration, and operational readiness.
• Coordinate Stripe's cross-functional teams and remove risks before they delay a launch, migration, product expansion, or international rollout.
• Guide users through stakeholder alignment, process design, training, knowledge transfer, and readiness for production operations.
• Use AI-assisted delivery tools to reduce administrative work and improve planning, communication, and risk identification.
• Capture lessons from engagements and turn them into reusable implementation plans, governance models, and launch checklists.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 6+ years of experience leading implementations, professional services engagements, technical programs, or complex customer onboarding for technology products.
• A record of delivering complex programs for strategic users from planning through production launch.
• Ability to understand business and technical requirements and translate them into clear implementation strategies and plans.
• Strong project management skills across scope, milestones, dependencies, risk, decisions, stakeholder governance, and executive communication.
• Ability to work effectively with engineering teams and explain technical concepts to business and executive stakeholders.
• Strong critical thinking and judgment when requirements are incomplete, priorities change, or several teams must align quickly.
• Experience identifying process inefficiencies and creating repeatable ways to address them.
• Excellent written and verbal communication skills, with the ability to operate independently in a fast-moving environment.

Preferred qualifications

• Experience with AI-native companies, developer infrastructure, cloud platforms, or other rapidly scaling technology companies.
• Experience at a growth-stage internet or software company.
• Experience with payments or financial infrastructure.
• Working knowledge of APIs, systems integration, data migration, SQL, and software delivery lifecycles.
• Experience using AI assistants or LLM-based tools to improve delivery, analysis, or communication.