# Partner Solutions Architect, AI Partnerships

**Company:** [Stripe](https://hotfix.jobs/companies/stripe)
**Location:** Remote
**Role:** Solutions Architecture
**Experience:** 8+ years
**Skills:** Solutions Architecture, LLMs, OpenAI, Claude, gemini, Cursor, Vercel, replit, Databricks, Snowflake, AWS, GCP, Azure, api architecture, SDLC
**Posted:** 2026-07-23

> Partner Solutions Architect building consultative relationships with AI partners and their executives. Architect solutions, enablement plans, co-sell, prototype demos, and drive partnership revenue using Stripe's platform with LLMs and modern AI tools.

## Job Description

## Responsibilities
- Work with key AI partners to build out their Stripe capabilities and solutions to grow their business and drive non-linear growth
- Develop and execute enablement plans
- Be at the forefront of technical discussions & solution deep dives with partners on the value Stripe provides to their clients
- Engage with CTOs, engineering and other technical leads at key partners to share technology roadmaps, demonstrate the latest innovations, and define a solution strategy to expand the partnership revenue
- Communicate success internally through QBRs, etc
- Provide oversight, guidance, and assistance during the partners' sales process to ensure mutual success in joint opportunities
- Educate the Stripe sales team on key partner solutions and capabilities
- Collaborate on technical content (sample code, demos, etc.) to show partners how to implement specific use cases or best practices

## Minimum Requirements
- 8+ years of experience in a similar customer-facing engineering role such as solution consultant, solutions architect, sales engineer, for a global software enterprise
- Experience co-selling and co-solutioning with go-to-market partners
- Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels
- Effective group-facilitation skills and confidence in proposing and leading customer meetings to gain strategic footing and pursue opportunities
- Thorough understanding of the software development lifecycle and API architecture
- Ability to understand how a wide variety of applications such as ERP, CRM, Billing, Tax and legacy systems interact with each other in an enterprise technology ecosystem
- Has practical, hands-on experience building with top LLMs (OpenAI, Claude, Gemini) and leverage modern AI development tools like Cursor, Vercel, and Replit to move fast - additionally, you are comfortable working with scalable data platforms (Databricks, Snowflake) or major cloud ecosystems (AWS, GCP, Azure)
- Ability to continuously learn and adapt in current AI market
- Ability to define tech strategy and focused initiatives in a highly ambiguous and fast evolving domain
- Hands on prototyping, demo and customer facing (like an FDE) experience

## Preferred Qualifications
- A background in payments systems and e-commerce solutions is a plus but not a requirement

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