Job Description: Director of AI Engineering – Transform Review
Posting Type
- Hybrid
About AI at Relativity
Every year, billions of documents are reviewed in Relativity using advanced technologies like AI to improve document review processes. The company is committed to responsible AI development guided by clear principles:
- Building AI with purpose and value
- Empowering customers with clarity and control
- Ensuring fairness and privacy
- Prioritizing data security
- Acting with accountability
Relativity aiR Products
- aiR for Review
- aiR for Privilege
- aiR for Case Strategy
These leverage generative AI to:
- Review documents faster and more accurately
- Help extract facts, summarize, and prepare data for legal proceedings
About The AI Team
Focuses on developing AI products, including:
- Data engineering
- ML Ops
- Applied science
- Feature teams for RelOne AI suite
Role Overview
Position: Director of AI Engineering – Transform Review
Leads a team responsible for flagship AI products:
- Review Center
- aiR for Review
- aiR for Privilege
Goals:
- Unify AI product architecture
- Innovate and transform document review in the legal industry
Responsibilities include working with product management, managing a team of 50+ engineers and leaders, and collaborating across AI functions.
Job Responsibilities
- Represent Relativity’s AI strategy for flagship products
- Own key features and tech functions
- Represent the company in industry events
- Recruit and build a diverse AI team
- Lead large initiatives with strategic prioritization
- Collaborate with engineering, data science, and product teams
- Prioritize technical investments and address tech debt
- Mentor team members and promote a culture of innovation
- Advise executive leadership on technology strategies
- Evolve AI operating model to be multi-office and global
- Develop onboarding practices for new engineers
Minimum Qualifications
- 10+ years in relevant AI/ML work, 3-5 years in leadership
- Experience in building AI products, especially generative AI
- Skilled in leveraging data for ML solutions
- Proven leadership in global software organizations
- Strong communication skills
- Familiarity with cloud platforms (AWS, Google Cloud, Azure)
Preferred Qualifications
- Knowledge of modern programming languages
- SaaS/Cloud experience with distributed teams
- Experience launching products
- Expertise in Generative AI and APIs
- Cloud native data infrastructure experience
Compensation & Benefits
- Total compensation includes base salary, bonus, long-term incentives
- Salary range: $195,000 – $293,000
- Final salary based on experience and internal pay structure
Note: Salary at the top end is uncommon to allow room for growth.