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