PitchBook is looking for a Director of Engineering, AI & ML, Data Collections to lead the strategy, vision, and execution of AI and ML initiatives focused on automating data extraction, enrichment, and validation workflows. The role demands a visionary yet hands-on leader who can balance strategic direction with technical credibility and influence across teams and executive levels.
Requirements
- Define and execute the AI & ML strategy for data collection, extraction, and enrichment automation aligned with PitchBook’s long-term data strategy
- Partner with senior leadership to identify high-impact opportunities for AI-driven automation and cost reduction in data collection workflows
- Establish success metrics and operational KPIs for automation accuracy, throughput, and coverage improvement
- Lead, hire, and develop a high-performing global team of data scientists and ML engineers
- Foster a culture of innovation, accountability, inclusion, and continuous improvement across distributed offices
- Champion hiring, mentorship, and professional development initiatives to grow internal AI/ML talent
- Elevate engineering excellence through code reviews, design reviews, and technical guidance for ML engineers and scientists
- Guide teams across the organization toward cohesive, reusable, and standards-aligned architectures
- Collaborate closely with Engineering, Product Management, and Data Operations to ensure the successful operationalization of AI/ML solutions into data pipelines and collection processes
- Serve as a trusted technical and strategic advisor to stakeholders across Product, Engineering, and Data Operations
- Oversee the end-to-end lifecycle of ML systems, from research and experimentation to deployment, monitoring, and optimization
- Ensure high availability, reliability, and performance of production AI/ML systems
- Implement and maintain strong standards of data integrity, security, and compliance in all models
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Benefits
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
