Stripe8 дней назад
Partner Solutions Architect, AI Partnerships
Зарплата не указана
N/A
Навыки
API architectureERPCRMBillingTaxLLMsOpenAIClaudeGeminiCursorVercelReplitDatabricksSnowflakeAWSGCPAzure
Обязанности
- 01Work with key AI partners to build out their Stripe capabilities and solutions to grow their business and drive non-linear growth
- 02Develop and execute enablement plans
- 03Be at the forefront of technical discussions & solution deep dives with partners on the value Stripe provides to their clients
- 04Engage 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
- 05Communicate success internally through QBRs, etc
- 06Provide oversight, guidance, and assistance during the partners' sales process to ensure mutual success in joint opportunities
- 07Educate the Stripe sales team on key partner solutions and capabilities
- 08Collaborate on technical content (sample code, demos, etc.) to show partners how to implement specific use cases or best practices
Требования
- 018+ years of experience in a similar customer-facing engineering role such as solution consultant, solutions architect, sales engineer, for a global software enterprise
- 02Experience co-selling and co-solutioning with go-to-market partners
- 03Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels
- 04Effective group-facilitation skills and confidence in proposing and leading customer meetings to gain strategic footing and pursue opportunities
- 05Thorough understanding of the software development lifecycle and API architecture
- 06Ability 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
- 07Has 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
- 08Comfortable working with scalable data platforms (Databricks, Snowflake) or major cloud ecosystems (AWS, GCP, Azure)
- 09Ability to continuously learn and adapt in current AI market
- 10Ability to define tech strategy and focused initiatives in a highly ambiguous and fast evolving domain
- 11Hands on prototyping, demo and customer facing (like an FDE) experience