Manager, Engineering, AI & ML

About the Role: As a member of the Product and Engineering team at PitchBook, 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 PitchBook’s wealth of structured data and unstructured text (reports, news, etc.) in the PitchBook 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 PitchBook 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 PitchBook’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 PitchBook Platform features. Primary Job Responsibilities: Drive the execution of AI & ML initiatives related to PitchBook 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 contribute to the implementation of scalable solutions that meet high standards of reliability and efficiency. Lead, mentor, and develop a high‑performing team of engineers and data scientists, fostering a culture of innovation and continuous improvement. Ensure effective communication and coordination within your team and across geographically dispersed teams. Contribute to the development and application of NLP techniques, including classifiers, transformers, LLMs, and other methodologies, to efficiently leverage structured and unstructured data for insights generation. Ensure these models are integrated seamlessly into the broader AI/ML infrastructure. Work closely with other AI/ML teams, data collection engineering teams, product management, and others to ensure data collection efforts support broader AI/ML goals and product objectives. Continuously explore and implement new technologies and methodologies to enhance the efficiency and accuracy of AI/ML insights generation. Stay at the forefront of advancements in NLP, Search, and AI in relevant business domains. Ensure that all data collection systems meet the highest standards of integrity, security, and compliance. Implement best practices for data governance and model transparency. Play an active role in recruiting, training, and retaining top engineering talent. Foster an environment where team members are encouraged to innovate, feel valued, and achieve their full potential. Apply Agile, Lean, and Fast‑Flow principles to improve team efficiency and the delivery of high‑quality data collection solutions. Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various company initiatives and projects as requested. Basic Qualifications: Bachelor's in Computer Science, Mathematics, Data Science, or a related field. Minimum 6 years of experience in AI/ML engineering initiatives in NLP and GenAI. Minimum 3 years of experience in a leadership role. Minimum 5 years of experience in Python and SQL. Must be authorized to work in the United States without the need for visa sponsorship now or in the future. Preferred Qualifications: Preferred experience in insights generation, summarization, semantic search, prediction, and productionizing ML‑powered capabilities. People management experience preferred and technical leadership experience also considered. Strong expertise in NLP and machine learning, with hands‑on experience in classifiers, large language models (LLMs), and other NLP techniques. Proven track record of shipping production‑grade GenAI and Large Language Model (LLM) systems or services at scale, with measurable impact on product delivery or user experience. Extensive experience with data pipeline and messaging technologies such as Apache Kafka, Airflow, and cloud data platforms (e.g., Snowflake). Strong understanding of cloud‑native technologies and containerization (e.g., Kubernetes, Docker) with experience in managing these systems globally. Demonstrated ability to solve complex technical challenges and deliver scalable solutions. Excellent communication skills with a collaborative approach to working with global teams and stakeholders. Experience working in fast‑paced environments, particularly in industries that rely on data‑intensive technologies (experience in fintech is highly desirable). Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health 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 Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company‑wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Compensation Annual base salary: $230,000-$310,000 Target annual bonus percentage: 20% Working Conditions: At the heart of our company is a belief in the power of in‑person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on‑going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. #J-18808-Ljbffr PitchBook