Job Description
At PitchBook, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our Culture
- Focus on innovation, evolution, and self-investment
- Collaborative environment
- High-energy, fun workplace
- Emphasis on learning programs and mentorship
- Culture of curiosity and continuous improvement
About the Role
As a part of the Product and Engineering team, you will be involved with:
- Deepening the positive impact on customers and the company
- Emphasizing customer empathy, product innovation
- Working closely with global partners
- Fostering a respectful, integrity-driven, growth-oriented environment
Senior Director of Engineering, AI & ML
You will lead global AI and machine learning initiatives, guiding distributed teams to develop scalable solutions for core products and business functions.
Responsibilities
- Shaping strategic visions for AI/ML initiatives
- Providing technical leadership in NLP, semantics, and data-driven product development
- Leading and mentoring worldwide data scientists and engineers
- Designing and integrating complex AI/ML systems within the architecture
- Collaborating with MLOps, Data Platforms, Cloud Technologies (e.g., Snowflake, Airflow, Kafka)
- Ensuring system security, performance, and compliance
- Building and maintaining strong data pipelines
- Driving innovation and best practices globally
- Promoting team culture, psychological safety, and diversity
- Applying Agile and Lean principles
- Participating in company initiatives and projects
Skills & Qualifications
- Degree in Computer Science, Mathematics, Data Science or related
- 10+ years in software engineering, AI/ML, with global team management
- Deep expertise in NLP, semantic search, and advanced natural language processing
- Proven experience with MLOps, data platforms (Snowflake), pipelines (Airflow), messaging (Kafka)
- Strong background in distributed systems, architecture
- Proficiency with Python, Java, SQL
- Experience with cloud-native technologies, Docker, Kubernetes
- Excellent problem solving, communication, and leadership skills
Benefits & Compensation
- Comprehensive health, emotional, social, and financial benefits
- Annual salary: $280,000 - $350,000
- Bonus target: 30-45%
- Additional perks include tuition reimbursement, training programs, stock options, stipends, and more.
Working Conditions
- Expectation of 4+ days/week in the office
- Full-time during training
- Office setting, PC and phone use, limited travel
Life At PitchBook
- Recognized as a Best Place to Work
- Supportive, inclusive, and innovative culture
- Encouragement to apply even if not all requirements are met