Senior Director, Software Engineering – Contract Intelligence

🔥 4 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Agiloft

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1991

⚖️ Legal

💼 Consulting

🏥 Healthcare

💰 $45M Private Equity Round on 2020-08

Legal • Consulting • Healthcare

Agiloft is a leading provider of enterprise contract lifecycle management (CLM) solutions designed to streamline and enhance the contracting process. Their Data-first Agreement Platform is a force multiplier that helps organizations reach agreements quickly and collaboratively, leveraging data to operate smarter and more transparently. Agiloft's offerings include integration hubs and an AI platform tailored for business services, healthcare, legal professionals, and procurement. With a high customer retention rate and recognition as a leader in the Gartner Magic Quadrant for CLM, Agiloft is known for its user-friendly no-code interface and robust service and support. The company emphasizes direct relationships and trust, promising to help clients 'Agree and Thrive.

📋 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 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

🎯 Requirements

• 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

🏖️ Benefits

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

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