Senior Director, Software Engineering – Contract Intelligence

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 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 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

🎯 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, 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

🏖️ Benefits

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