PitchBook
ScalingFintech · Private market data & analytics
Currently tracking 9 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $140k–$175k (avg $158k).
Hiring
9 / 9
Momentum (4w)
↑+3 +16%
22 opens last 4w · 19 prior 4w
Salary range · avg $158k
$140k–$175k
USD · disclosed roles only
Tracked since
Jan '25
last role today
Hiring velocityscroll left for older weeks
Jobs (5)
| Title | Stage | AI score |
|---|---|---|
| Sr. Machine Learning Engineer 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. | AgentPost-train | 8 |
| Machine Learning Engineer 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. | AgentPost-train | 8 |
| Sr. Software Development Engineer, AI Enablement 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. | Agent | 7 |
| Engineering Manager, AI Enablement 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. | AgentServe | 7 |
| Staff Software Development Engineer, AI Enablement 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. | Agent | 7 |