France: €82000 - €84000 (EUR) + 15% bonus target + equity + benefits
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Act as a trusted technical strategist to external partners across key verticals, guiding them through complex connected apps integrations utilizing Model Context Protocol (MCP) and API integrations.
Bridge gaps between technical engineering groups, non-technical operations, and product/client relationships to develop and execute partner onboarding strategies for Google's Agentic Ecosystem.
Guarantee the technical aspects of partner integrations by performing implementation reviews, troubleshooting complex API challenges, and providing necessary documentation and technical guidance.
Improve product feature offerings by capturing high-fidelity partner feedback and structured insights, advocating for new capabilities to internal cross-functional teams including Product Management and Engineering.
Identify and define tooling needs and scalable operational workflows to transition from high-touch pilot partner launches to a self-serve developer ecosystem.
Minimum qualifications
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
Experience troubleshooting technical issues for internal/external partners or customers.
Preferred qualifications
Experience in Generative AI Agent and Machine Learning.
Experience working directly with external partners, clients, or third-party developers to guide technical integrations.
Experience in software design and architecture, with a deep understanding of AI/ML concepts, algorithms, and their application to real-world problems.
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
Experience troubleshooting technical issues for internal/external partners or customers.