Senior Director, Software Engineering – Contract Intelligence

🕒 Outubro 29

🇨🇦 Canadá – Remoto

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 10%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 14 dias.
• As vagas desta empresa costumam ser preenchidas em 62 dias.
• Sem salário divulgado.

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Agiloft

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1991

⚖️ Jurídico

💼 Consultoria

🏥 Saúde

💰 $45.000.000 Private Equity Round em 2020-08

Legal • Consulting • Healthcare

A Agiloft é uma fornecedora líder de soluções de gestão do ciclo de vida de contratos empresariais (CLM), projetadas para otimizar e aprimorar o processo de contratação. Sua plataforma de acordos orientada por dados é um multiplicador de força que ajuda as organizações a alcançar acordos de forma rápida e colaborativa, aproveitando os dados para operar de maneira mais inteligente e transparente. As ofertas da Agiloft incluem hubs de integração e uma plataforma de IA feita sob medida para serviços empresariais, saúde, profissionais jurídicos e compras. Com uma alta taxa de retenção de clientes e reconhecimento como líder no Quadrante Mágico da Gartner para CLM, a Agiloft é conhecida por sua interface amigável sem código e por seu serviço e suporte robustos. A empresa enfatiza relacionamentos diretos e confiança, prometendo ajudar os clientes a "Concordar e Prosperar".

Descrição

• Lead engineering teams behind Astra Agents and the Contract Intelligence Graph (CIG) • Own engineering strategy, organization, and execution across the Contract Intelligence portfolio • Define shared platform architecture covering data models, database services, IAM, Agents, AI Assistants, APIs, user interfaces, and MCP servers • Partner with Product and Design to shape strategy, roadmap, sequencing, and investment decisions • Translate portfolio priorities into integrated engineering plans, ownership, dependencies, and measurable outcomes • Establish architecture direction and convergence across Astra and CLM cloud-native services • Guide secure, tenant-aware, scalable, observable, versioned, reliable, and backward-compatible APIs and integrations • Partner with Applied AI & Knowledge Engineering to productionize Agents and AI Assistants • Establish evaluation practices for AI-enabled features, including quality, permissions, privacy, latency, cost, and operations • Own the software development lifecycle, release coordination, operational reliability, and post-release stabilization • Lead 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 • Coach, develop, recruit, onboard, and retain engineering talent • Partner cross-functionally with Product, Design, Core CLM, Applied AI, QA, Cloud Operations, Security, and Support • Communicate technical direction, tradeoffs, risks, and investment needs to executives and partners

🎯 Requisitos

• 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 • Clear delivery accountability and performance management experience • Experience owning engineering outcomes for a substantial product portfolio, platform, or technical domain • 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 such as delivery predictability, service reliability and SLOs, defect trends, performance, and operational health • Experience partnering 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 • Experience developing managers and technical leaders, building succession, and supporting employee 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 in compliance-driven environments

🏖️ Benefícios

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

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