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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering teams and developing multi-team organizations, with a strong focus on cloud-based SaaS systems, APIs, and AI technologies. Proven ability to communicate technical strategies and risks effectively while driving engineering outcomes that enhance customer adoption and business value.
Highest-signal resume keywords
Cloud-Based SaaS SystemsEngineering LeadershipAI/LLM FunctionalityAPI DevelopmentData Models
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringDistributed ServicesEnterprise IntegrationsProduction AIDatabase ServicesIAMIncident Root-Cause AnalysisSoftware Development LifecycleQuality Evaluation PracticesPerformance Management
Soft Skills
CommunicationCoachingFeedbackCollaborationTechnical Direction
Tools & Technologies
APIsAI AssistantsCloud OperationsMCP ServersKnowledge Graphs
Certifications & Qualifications
BS/MS in Computer ScienceEngineering
Industry Keywords
Legal TechnologyWorkflow AutomationEnterprise SaaSCompliance-Driven EnvironmentsAgent Architectures
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Healthy work/life balance
- Floating holidays
- Quarterly, no-questions-asked wellness day
- Employee Resource Groups (ERGs)