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.

PitchBook is seeking a Product Management leader to own the strategy, execution, and team for Navigator, their AI platform experience. This role involves defining the product strategy and roadmap for the conversational interface, agent routing architecture, persistent workspace, and specialist agents. The leader will manage a team of product managers, collaborate with Engineering, Design, and Data Science, and be a key voice in PitchBook's broader AI strategy. The role requires AI product intuition, private markets domain knowledge, and leadership skills to drive a high-velocity initiative.

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.

Technical Product Manager for AI Enablement at PitchBook. This role focuses on owning the product vision and roadmap for internal AI enablement platforms, including managed model and tool access, shared context layers, agent frameworks, and enterprise AI workflows. The goal is to make AI easy, safe, and scalable for internal teams, translating ambiguous needs into actionable roadmaps and ensuring successful experiments are operationalized into production-grade capabilities. The role emphasizes enabling AI adoption, reducing friction, increasing speed, and unlocking new capabilities for internal teams using Generative AI and LLMs.

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.