PitchBook
Fintech · Private market data & analytics
Currently tracking 3 active AI roles, down 17% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $140k–$175k (avg $158k).
Fintech · Private market data & analytics
PitchBook currently has 10 active AI-related job listings. The majority of these roles, 70%, are focused on agents. Engineering is the dominant function with 7 roles, followed by Product with 3. The company is hiring for roles that involve model serving, LLM observability, and agent orchestration.
PitchBook currently has 5 active AI-related roles in our index. The most common open titles are: Machine Learning Engineer, Principal Product Manager, Deal Sourcing, Sr. Director of Engineering, Data Collections Technology, Sr. Machine Learning Engineer, Sr. Manager, Product Management. Most positions are in Engineering and Product.
PitchBook's active AI hiring is concentrated in: agents (60%), application (20%), data (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
PitchBook is hiring AI talent in: United States (5 roles).
Job postings at PitchBook most frequently reference: model serving, semantic search, llm observability, rag, fine tuning.
In the past 30 days, PitchBook has posted 3 new AI-related roles.
| 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, with a focus on summarization, semantic search, classification, and prediction. | 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. Manager, Product Management 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. | Agent | 7 |