PitchBook

Senior Machine Learning Engineer on the AI & ML (Insights) team responsible for delivering AI-powered features that extract meaningful insights from structured and unstructured data using NLP, GenAI, and LLMs. This role involves end-to-end development, operationalization, and deployment of ML models, focusing on summarization, semantic search, classification, and prediction to enhance user-facing features on the PitchBook Platform.

Machine Learning Engineer on the AI & ML (Insights) team responsible for delivering AI-powered features that extract insights from structured and unstructured data. The role involves end-to-end development and operationalization of ML models, focusing on NLP, GenAI, and LLMs, including architecture, training, deployment, and maintenance. The goal is to enhance user-facing features on the PitchBook Platform by inferring meaning and enriching datasets with predictive and generative intelligence.

Senior Software Development Engineer focused on building internal AI-powered tools and platforms to enhance developer and general productivity across PitchBook. The role emphasizes reducing friction, accelerating delivery, and embedding AI into everyday workflows, acting as a force multiplier for engineering, product, and research teams. Key responsibilities include designing and implementing AI-enabled productivity tools, leading complex initiatives, and partnering with various teams to identify high-impact AI opportunities. The role requires strong software development experience, practical experience with Generative AI/LLMs, and a focus on integrating AI into production workflows.

Engineering Manager to lead the team building and operating core platforms for AI adoption, focusing on managed tool access, context management, agent creation/governance, and workflow orchestration. The role emphasizes enabling product teams, data scientists, and the workforce with scalable, safe, and usable AI foundations, acting as a force multiplier for experimentation and operationalization of AI capabilities.

Staff Software Development Engineer, AI Enablement at PitchBook. This role focuses on defining, building, and scaling AI-powered productivity capabilities and internal platforms to enhance developer productivity and organizational workflows. The engineer will act as a technical leader, identifying high-leverage AI opportunities, setting technical direction, and delivering reusable solutions. Responsibilities include architecting scalable platforms, identifying bottlenecks, leading ambiguous initiatives, and establishing best practices for AI usage, quality, and safety. The role requires strong Python skills, experience with LLMs/GenAI, prompt engineering, evaluation strategies, and responsible AI patterns.

Engineering Manager for an MLOps team responsible for enabling ML teams by optimizing the ML Development Life Cycle. The role supports projects in GenAI, LLMs, NLP, Classification, and Regression, and is critical for driving AI innovation.

Engineering Manager for an MLOps team responsible for enabling ML teams by optimizing the ML Development Life Cycle. The role supports projects in GenAI, LLMs, NLP, Classification, and Regression, and is critical for driving AI innovation.

PitchBook is seeking a Sr. Site Reliability Engineer to build and evolve systems for reliable and consistent operation of their product suite. The role involves defining and achieving service level objectives (SLOs), deploying and managing production systems, incorporating observability tools, performing incident management, and mentoring other engineers. The position requires strong skills in Kubernetes, Java, observability, event-driven architecture, and Python, with experience in cloud-native patterns and building internal developer tools. The role also involves designing developer experience tooling and AI-leveraged workflows.

This role supports the day-to-day administration of PitchBook's Salesforce platform, focusing on configuration, user access management, and ensuring platform security, reliability, and usability for internal teams. The GTM Systems team operates as an internal product and platform organization.

This role is for a Senior Salesforce Engineer who will design, build, and optimize scalable solutions for revenue platforms, focusing on backend and data-driven solutions. The role involves leading AI initiatives and mentoring engineers in building AI applications, while also ensuring seamless platform integration and peak performance across various systems like Salesforce, Oracle, and Stripe.

This role is for a Salesforce Administrator responsible for configuring, customizing, and integrating Salesforce Sales Cloud, Experience Cloud, and Service Cloud to support go-to-market teams. The role involves managing user access, troubleshooting issues, and staying updated on Salesforce features. It is not directly involved in AI/ML model development or deployment.

PitchBook is seeking a Sr. Site Reliability Engineer to create and evolve systems for reliable and consistent operation of their product suite. The role involves defining SLOs, building systems to meet them, deploying and managing production systems, working with developers on large-scale services, incorporating observability tools, performing incident management, root cause analysis, eliminating single points of failure, building reliability and redundancy, establishing recoverability, mitigating failures through automation, and mentoring other engineers. The role requires independent responsibility for building and managing system subsets, best practices for infrastructure-as-code, and collaboration with colleagues.

This role is for a Sr. Data Engineer at PitchBook, a Morningstar company. The primary responsibilities include building unified data technologies, designing and maintaining database and reporting structures, defining and developing ELT processes and data modeling solutions, and establishing reports and dashboards to translate business data into insights. The role also involves mentoring junior engineers and staying updated on data engineering trends. The required skills include a Bachelor's degree, 5+ years of experience in data engineering, data pipelines, data modeling, data architecture, data cleansing, governance, quality, advanced SQL, Python, ETL/ELT processes, data alerting, data observability, data storage solutions, data warehousing, cloud platforms, and containerized deployment environments. Experience with enterprise technologies is a plus. The compensation is $140,000-$170,000 annually with a 10% target bonus.

Staff Software Architect responsible for architecting and delivering services for the PitchBook platform, guiding technical teams, and building customer-facing solutions. Requires experience in cloud architecture, microservices, and Domain Driven Design, with a focus on hands-on development and technical leadership.

Staff Software Architect responsible for architecting and delivering services for the PitchBook platform, guiding technical teams, and building customer-facing solutions. Requires experience in cloud architecture, microservices, and Domain Driven Design, with a focus on hands-on development and technical leadership.