Lead Consultant

🕒 il y a 9 jours

🏄 California – Distant

🏄 California – Remote

💵 $116 200 - $174 200 / an

⏰ Temps Plein

🟠 Senior

💼 Consultant

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OpenText

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1991

🏢 Entreprise

☁️ SaaS

🤝 B2B

💰 €1 000 000 000 Post IPO debt en 2022-12

Enterprise • SaaS • B2B

OpenText est une entreprise canadienne de logiciels d'entreprise qui fournit des solutions de gestion de l'information d'entreprise et des services basés sur le cloud. Elle propose des produits pour la gestion de contenu d'entreprise, la gestion de documents et d'archives, la gouvernance de l'information, la collaboration et les opérations informatiques/cloud associées, servant des clients professionnels avec des modèles de livraison sur site et SaaS. Les documents publics de l'entreprise mettent l'accent sur les carrières centrées sur l'entreprise, les opérations cloud et informatiques, le succès client et les services professionnels.

Description

• Work directly with strategic global clients to design and deliver agentic AI solutions at scale • Build and deploy production-grade AI agents using proprietary enterprise data • Move fast—take ideas from discovery to live deployment in weeks • Act as the critical bridge between business stakeholders and technical teams • Influence product development through real-world client insights • Partner with Sales and GTM teams to shape positioning and customer value narratives • Deliver measurable business outcomes and create repeatable success stories • Leverage OpenText’s extensive client knowledge repositories to understand operations and business workflows • Design, build, and ship production-grade AI agents leveraging OpenText’s proprietary data and tools • Bring customer success stories back into OpenText to influence product, sales, and GTM strategy

🎯 Exigences

• Proficiency in Python, SQL, and at least one additional language (Java, Go, or TypeScript) • Experience with large-scale data technologies (e.g., Spark, Kafka) and data architecture fundamentals • Hands-on experience with LLMs, multi-agent systems, prompt engineering, and vector databases (LangChain/LangGraph required) • Proven track record of deploying production systems for enterprise organizations with measurable impact • Strong data science capabilities to extract insights and understand client data deeply • Excellent communication skills—able to engage executives and engineers alike • Ability to quickly adapt across domains and problem spaces • Willingness to travel (~25%) to work directly with clients

🏖️ Avantages

• Thoughtfully designed benefits package that supports physical, emotional, and financial wellbeing • Health insurance • Retirement plans • Professional development opportunities • Paid time off