Engineering Manager, Machine Learning Operations

PitchBook Data•New York, NY

1d•$240,000 - $300,000•Onsite

About The Position

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 other’s 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, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for leading and managing PitchBook’s MLOps team. The team is responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your team’s work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Your role will be critical in driving AI (Artificial Intelligence) innovations across the organization.

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
3+ years of experience in an engineering leadership role, managing globally distributed teams
6+ years of experience in hands-on development of Machine Learning algorithms
6+ years of experience in hands-on deployment of Machine Learning services
6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
Proficiency in GitOps and creation/management of CI/CD pipelines
Demonstrated experience building and using SQL/NoSQL databases
Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
Ability to be a team player who can also work independently
Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Nice To Haves

Experience working across multiple development teams is a plus

Responsibilities

Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria
Ensure effective communication and coordination across geographically dispersed teams. Oversee the enablement of scalable solutions that meet high standards of reliability and efficiency
Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products
Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation
Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives
Ensure MLOps roadmap items are delivered on time and have exceptional quality
Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders
Establish and drive a culture founded on creating belonging, psychological safety, candor, connection, cooperation, and fun
Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested

Benefits

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.
Annual base salary: $240,000-$300,000
Target annual bonus percentage: 15%