PitchBook
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.
Fintech · Private market data & analytics
Currently tracking 3 active AI roles, up 107% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $140k–$175k (avg $158k).
PitchBook currently has 6 active AI-related roles in our index. The most common open titles are: Manager, Engineering, AI & ML, Principal Product Manager, Deal Sourcing, Product Manager, Technical Platform Engineering, Sr. Director of Engineering, Data Collections Technology, Sr. Machine Learning Engineer. Most positions are in Product and Engineering.
PitchBook's active AI hiring is concentrated in: agents (50%), application (17%), post-training (17%). 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 (6 roles).
Job postings at PitchBook most frequently reference: llm observability, model serving, fine tuning, rag, vector db.
In the past 30 days, PitchBook has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Manager, Engineering, AI & ML Manager for an AI & ML Engineering team focused on generating insights from structured and unstructured data using NLP, GenAI, and LLMs. The role involves hands-on technical leadership, managing and mentoring engineers and data scientists, and overseeing the end-to-end lifecycle of AI/ML models and services, including summarization, semantic search, prediction, and classification. | Post-trainAgent | 8 |
| 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 |
| 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 |