Engineering Manager, AI & ML

About the Role:

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 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.

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 PitchBooks 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.

Primary Job Responsibilities:

• AI & ML Insights Leadership: 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
• Technical Oversight: 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
• Team Leadership & Development: 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
• GenAI Technologies: 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
• Cross-functional Collaboration: 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
• Innovation & Continuous Improvement: 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
• System Integrity & Security: Ensure that all data collection systems meet the highest standards of integrity, security, and compliance. Implement best practices for data governance and model transparency
• Talent Acquisition & Retention: 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
• Process Improvement: Apply Agile, Lean, and Fast-Flow principles to improve team efficiency and the delivery of high-quality data collection solutions
• Support Company Vision and Values: Model and promote behaviors that align with the company's vision and values. Participate actively in company-wide initiatives and projects as required

Skills and Qualifications:

• Bachelor's, Master's, or PhD in Computer Science, Mathematics, Data Science, or a related field
• 6+ years of experience in software engineering, with a focus on AI & ML technologies, particularly in insights generation, summarization, semantic search, and prediction
• 3+ years of experience in a leadership role as a technical lead or engineering manager
• 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)
• Expert-level proficiency in Python, SQL, and other relevant programming languages and tools
• 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

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $240,000-$300,000
• 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.

Life At PB:

We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK