PitchBook
Fintech · Private market data & analytics
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).
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. Director of Engineering, Data Collections Technology Sr. Director of Engineering, Data Collections Technology at PitchBook. This role focuses on architecting, building, and operating the foundational platform collection engine for PitchBook's proprietary data. It involves defining and executing the technology strategy for data acquisition, processing, and integration, including scalable ingestion pipelines and data storage solutions. The role also involves coordinating with centralized AI/ML teams to leverage AI-driven extraction and enrichment models, and leading a global engineering team to ensure reliability, efficiency, and throughput of the data processing infrastructure. | Data | 5 |
| Sr. Site Reliability Engineer 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. | — | 0 |
| Sr. Site Reliability Engineer 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. | — | 0 |
| Staff Software Architect 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. | — | 0 |
| Associate Salesforce Administrator 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. | — | 0 |
| Sr. Salesforce Engineer 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. | — | 0 |