Engineering Manager, AI & ML

At PitchBook a Morningstar company we are always looking forward. We continue to innovate evolve and invest in ourselves to bring out the best in everyone. Were deeply collaborative and thrive on the excitement energy and fun that reverberates throughout the company.

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means theres going to be some ambiguity along the way but we excel when we challenge ourselves. Were willing to take risks fail fast and do it all over again in the pursuit of excellence.

If you have a good attitude and are willing to roll up your sleeves to get things done PitchBook is the place for you.

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.

We know that greatness is achieved through collaboration and diverse points of view so we work closely with partners around the globe. As a team we assume positive intent in each others words and actions value constructive discussions and foster a respectful working environment built on integrity growth and business value. We invest heavily in our people who are eager to learn and constantly improve. Join our team and grow with us!

As an Engineering Manager AI & ML (Insights) you will play a vital role in executing the companys 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 systemsfrom 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:

• Drive the execution of AI & ML initiatives related to PitchBook Platform insights ensuring that the teams 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
• Model and promote behaviors that align with the companys vision and values. Participate actively in company-wide initiatives and projects as required
• Support the vision and values of the company through role modeling and encouraging desired behaviors
• Participate in various company initiatives and projects as requested

Skills and Qualifications:

• Bachelors Masters 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 managing individual contributors
• 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 Java 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)
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

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: $230000-$310000
• Target annual bonus percentage: 25%

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 momentsthose hallway conversations whiteboard brainstorms and shared celebrations in each of our global officesthat simply cant 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.

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.

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