Senior Director, Software Engineering – Contract Intelligence

🕒 il y a 2 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Agiloft

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 1991

⚖️ Juridique

💼 Conseil

🏥 Santé

💰 €45 000 000 Private Equity Round en 2020-08

Legal • Consulting • Healthcare

Agiloft est un fournisseur de premier plan de solutions de gestion du cycle de vie des contrats (CLM) d'entreprise conçues pour rationaliser et améliorer le processus de contractualisation. Leur plateforme d'accords axée sur les données est un multiplicateur de force qui aide les organisations à conclure des accords rapidement et de manière collaborative, en exploitant les données pour fonctionner de manière plus intelligente et transparente. Les offres d'Agiloft incluent des hubs d'intégration et une plateforme d'IA adaptée aux services aux entreprises, aux professionnels de la santé, aux juristes et aux services d'approvisionnement. Avec un taux de fidélisation de la clientèle élevé et une reconnaissance en tant que leader dans le Magic Quadrant de Gartner pour le CLM, Agiloft est connu pour son interface sans code conviviale et son service et support robustes. L'entreprise met l'accent sur les relations directes et la confiance, promettant d'aider ses clients à "Convenir et Prospérer".

Description

• Lead engineering teams behind Astra Agents and the Contract Intelligence Graph (CIG) • Own engineering strategy, organization, and execution across the Contract Intelligence portfolio • Define architecture direction and convergence roadmap for shared data models, database services, IAM, Agents, and AI Assistants • Own unified interfaces across APIs, user interfaces, and MCP servers • Guide secure, scalable, observable, reliable, versioned, and backward-compatible cloud-native APIs and integrations • Partner with Applied AI & Knowledge Engineering to deliver production-ready Agents and AI Assistants • Establish evaluation practices for AI-enabled features, including quality, permissions, privacy, latency, cost, and operations • Own the software development lifecycle, including planning, development, testing, release coordination, and stabilization • Coordinate dependencies and release plans across Astra, CLM, Core CLM, and integration teams • Lead incident root-cause analysis and remediation for significant incidents and Level 3 escalations • Contribute hands-on to the codebase, code reviews, and architecture decisions • Lead managers and technical leaders across distributed teams • Develop, coach, and provide feedback to managers and senior engineers • Recruit, onboard, develop, and retain engineering talent • Partner with Product, Design, Core CLM, Applied AI & Knowledge Engineering, QA, Cloud Operations, Security, and Support • Communicate technical direction, tradeoffs, risks, and investment needs to executives and cross-functional partners • Report directly to the CTO

🎯 Exigences

• BS/MS in Computer Science, Engineering, or equivalent practical experience • 10+ years of progressive software engineering experience • 5+ years leading and developing multi-team engineering organizations with managers and senior technical leaders, including delivery accountability and performance management • Ownership of engineering outcomes for a substantial product portfolio, platform, or technical domain, measured by customer adoption, usage, and business value • Deep experience with cloud-based SaaS systems, distributed services, APIs, enterprise integrations, and user-facing applications • Experience building shared or converged components used by multiple products or services, including data models, database services, and IAM • Hands-on technical fluency in production AI/LLM functionality, Agents, and AI Assistants • Understanding of engineering measures including delivery predictability, service reliability and SLOs, defect trends, performance, and operational health • Partnership with Product and Design to create executable engineering roadmaps and make build, buy, or partner decisions • Ability to communicate technical risks, tradeoffs, and decisions in business terms • Responsible AI judgment covering accuracy, privacy, security, permissions, transparency, and human oversight • Ability to develop managers and technical leaders, build succession, and support high performance • Preferred: experience leading AI-enabled products, Agent architectures, or MCP orchestration interfaces • Preferred: experience with knowledge graphs, graph-based systems, or data-rich enterprise platforms • Preferred: background in CLM, legal technology, workflow automation, or enterprise SaaS • Preferred: experience scaling engineering organizations and operating practices, including in compliance-driven environments

🏖️ Avantages

• Healthy work/life balance • Floating holidays • Quarterly, no-questions-asked wellness day • Employee Resource Groups (ERGs)

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