Manager, Engineering, AI & ML

About the Role:

As a member of the Product and Engineering team at Pitch Book, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

As an Engineering Manager, AI & ML (Insights), you will play a vital role in executing the company's AI and machine learning initiatives with a strong focus on generating and delivering insights from Pitch Book’s wealth of structured data and unstructured text (reports, news, etc.) in the Pitch Book Platform. This position will require deep technical expertise in advanced structured and unstructured data analytics, and a hands‑on approach to managing and mentoring engineers.

Your leadership will ensure that our AI & ML insights are developed and operationalized at the highest standards of performance, reliability, and security. You will be directly managing the individual contributors, ensuring that projects align with broader business goals and AI/ML strategies.

This role requires deep engagement in the design, development, and maintenance of AI & ML models, solutions, architecture, and services. You will need to provide strong technical direction, problem‑solve complex technical challenges, and ensure that the team consistently delivers high‑quality, scalable solutions. You will leverage your deep knowledge in areas such as advanced natural language processing (NLP), generative AI (GenAI) and large language models (LLMs), ML Operations (MLOps), data architecture, and cloud‑managed services.

Your goal will be to drive unique value for our customers through the speed, quantity, quality, and discoverability of data in the Pitch Book Platform using AI technologies, ML models, and data algorithms. Incorporated in this are both the ability to decipher insights from millions of discrete unstructured and structured data sources for incorporation in our platform and the acumen to apply ML models to our stored datasets to uncover and deliver opaque insights and predictions to our customers.

Your leadership will ensure that our AI/ML systems align with global business strategies, maintaining seamless integration and high‑performance standards. You will oversee the end‑to‑end lifecycle of AI/ML data systems—from research and development to deployment and operationalization.

You will be responsible for managing and mentoring team members, resolving technical challenges, and fostering a culture of innovation and collaboration while ensuring they have the right tools, frameworks, and guidance to succeed. This role offers a unique opportunity to drive impactful change in a fast‑paced, dynamic environment, where your efforts will directly contribute to the success of our global AI/ML initiative.

Your ability to collaborate with cross‑departmental stakeholders, provide leadership across locations, set high standards for the team, and hire, train, and retain exceptional talent is foundational to your success. You will solicit feedback, engage others with empathy, inspire creative thinking, and help foster a culture of belonging, teamwork, and purpose.

You will lead a multidisciplinary team of engineers and data scientists responsible for building AI & ML solutions and services that solve end user problems, such as summarization, semantic search, and prediction, using Pitch Book’s industry‑leading private, public, and credit markets data as your sources. Your team will focus on building scalable and reliable systems that serve as the foundation for Pitch Book Platform features.

• Drive the execution of AI & ML initiatives related to Pitch Book Platform insights, ensuring that the team's efforts are aligned with overall business goals and strategies.
• Provide hands‑on technical leadership in the engineering of AI/ML models and services, focusing on NLP, summarization, semantic search, prediction, classification, and other use cases. Oversee and…