Partner Solutions Architect - AI & Growth Alliances

Triwill Group

United States

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Stripe is seeking a Partner Solutions Architect to drive growth with AI-focused partner ecosystems. You will architect business models with partners, enabling monetization opportunities that leverage Stripe capabilities.

In this role you’ll engage executives and technical leaders, co-create solutions, and guide enablement efforts across partner networks. Demonstrated experience with LLMs, data platforms, and cloud ecosystems is essential to accelerate collaboration.

Qualifications

  • 8+ years in a customer-facing engineering role at a global software enterprise.
  • Experience co-selling and co-solutioning with GTM partners.
  • Executive engagement with senior decision makers.
  • Deep understanding of API architecture and SDLC.
  • Hands-on prototyping and demo experience with AI tools.

Responsibilities

  • Work with key AI partners to build Stripe capabilities and solutions.
  • Develop and execute enablement plans.
  • Lead technical discussions and deep-dive solution sessions with partners.
  • Engage with CTOs and engineers to share roadmaps and define strategy.
  • Educate Stripe sales teams on partner solutions.
  • Create technical content (sample code, demos) to illustrate use cases.
  • Provide guidance during partners' sales process to ensure joint success.

Skills

Executive engagement
Solution architecture
Go-to-market partnerships
Customer-facing engineering
AI development with LLMs
Prototyping & demos
Cloud and data platforms

Tools

Cursor
Vercel
Replit
Databricks
Snowflake
AWS
GCP
Azure

Job description

Stripe is seeking a Partner Solutions Architect to drive growth with AI-focused partner ecosystems. You will architect business models with partners, enabling monetization opportunities that leverage Stripe capabilities.

In this role you’ll engage executives and technical leaders, co-create solutions, and guide enablement efforts across partner networks. Demonstrated experience with LLMs, data platforms, and cloud ecosystems is essential to accelerate collaboration.

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