Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 3
Communication @ 6
LLM @ 3
Payments @ 3
Project Management @ 6
SQL @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Stripe is building a dedicated Professional Services practice for the world's leading AI companies. The team works 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 outcomes, 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.
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.
Requirements
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.
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