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PitchBook · 1 day ago

Engineering Manager, AI & ML

Seattle, WA

Full-time

Onsite

Senior Level

$230K/yr - $310K/yr

6+ years exp

PitchBook, a Morningstar company, is seeking an Engineering Manager for AI & ML initiatives. This role focuses on managing a team to develop and operationalize AI and machine learning solutions, ensuring high performance and reliability while driving customer insights from data.

AnalyticsFinanceVenture Capital

Culture & Values

No H1B

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

Model and promote behaviors that align with the company’s 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

Qualification

AI & ML technologiesNatural Language Processing (NLP)Large Language Models (LLMs)Data pipeline technologiesCloud-native technologiesJavaPythonSQLLeadership experienceAgile methodologiesCommunicationCollaborationProblem-solvingMentoring

Required

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 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