Head of Deployed Engineering

🕒 vor 5 Monaten

🗣️🇺🇸🇬🇧 Englisch erforderlich

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LangChain

11 - 50 Mitarbeiter

🤖 Künstliche Intelligenz

🤝 B2B

☁️ SaaS

💰 €25.000.000 Series A im 2024-02

Artificial Intelligence • B2B • SaaS

LangChain ist ein zusammensetzbares Framework, das Entwicklern während des gesamten Lebenszyklus von Anwendungen mit großen Sprachmodellen (LLM) Unterstützung bietet. Ihr Produktsortiment, einschließlich LangGraph und LangSmith, bietet Werkzeuge zum Erstellen, Bereitstellen und Verwalten von Anwendungen, die in großem Maßstab denken und agieren können. Mit Fokus auf betriebliche Effizienz und verbesserte Leistung unterstützt LangChain eine Vielzahl von Branchen durch seine innovativen Angebote.

Beschreibung

• Build and scale the deployed engineering team, owning hiring, onboarding, coaching, and performance management as the team grows rapidly. • Achieve the technical win, driving urgency and focus with our customers, in order to rapidly advance our opportunities across the region. • Partner with LangChain’s regional sales leader, with shared accountability for revenue outcomes and customer success. • Lead technical strategy on our most strategic enterprise opportunities, engaging directly with senior technical and business stakeholders to shape evaluations, architecture, and solution design. • Differentiate LangChain in competitive environments, clearly articulating our technical advantages, product vision, and unique expertise in building and deploying agents in production. • Set and uphold the technical bar for deployed engineering, staying close to the product and modeling what excellent customer-facing engineering looks like. • Co-create global playbooks and operating practices, contributing regional insights while maintaining strong global consistency. • Develop future leaders, building a strong bench of deployed engineers and managers.

🎯 Anforderungen

• 10 years of experience in sales engineering, solutions architecture, engineering, or similar customer-facing technical roles at a dev tools, AI, or infrastructure company. • Proven experience leading and scaling technical GTM teams. • Deep technical expertise — you’re not a stranger to Python, and are well-versed in software engineering, platform engineering, and solutions architecture disciplines. • Experience working with or selling to developers and engineering-led buyers. • Strong track record of leading complex enterprise technical engagements and building trust with senior stakeholders. • Exceptional communication and technical storytelling skills, with the ability to simplify complex concepts and influence executive audiences. • A bias for action, comfort with ambiguity, and a consistently high bar for excellence.

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