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.
Currently tracking 3 active AI roles, up 107% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $140k–$175k (avg $158k).
Fintech · Private market data & analytics
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 |
| Lead Software Development Engineer, Full Stack Lead Software Development Engineer on the Frontier Data Platform team responsible for designing, building, and owning systems that ingest, correlate, enrich, and surface billions of records for customer-facing products, including AI-augmented intelligence. This is a hands-on role involving writing production code, leading system design, and mentoring a small team. Requires strong backend engineering, distributed data pipelines, search indexing, and cloud infrastructure experience. Familiarity with AI tools for productivity is a plus. | — | 5 |
| Lead Software Development Engineer Lead Software Development Engineer on the Frontier Data Platform team responsible for designing, building, and owning systems that ingest, correlate, enrich, and surface billions of records, transforming raw data into search-ready, AI-augmented intelligence. This hands-on role involves writing production code daily, leading system design, mentoring engineers, and ensuring technical quality and reliability of services and infrastructure. | — | 5 |
| 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 |
| Software Development Engineer, Platform Engineering Software Development Engineer, Platform Engineering role at PitchBook, focusing on building and maintaining foundational infrastructure, tools, and workflows to enable seamless software development and delivery. Responsibilities include contributing to platform engineering strategies, optimizing the SDLC, assisting with infrastructure management (cloud, containerization, IaC), and improving developer experience through CI/CD and tooling. Requires experience with Docker, Kubernetes, Linux, DevOps, IaC, CI/CD, and cloud platforms. | — | 0 |
| 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 |
| Sr. Commercial Trainer This role is for a Sr. Commercial Trainer at PitchBook, a Morningstar company. The primary responsibilities include facilitating high-impact training experiences for new hires and ongoing capability development for Commercial teams, with a regional focus on London and APAC. The role also involves capturing and representing the Voice of the Customer (VoC) within the region, conducting needs assessments, developing learner profiles, consulting with leaders on upskilling priorities, and shadowing sales and customer service representatives to identify regional skill gaps. Insights gathered are synthesized and shared with the broader Learning team to ensure training programs remain relevant and effective. The ideal candidate blends strong facilitation expertise, regional business context, and a consultative mindset to drive learner engagement and measurable performance outcomes. | — | 0 |
| Lead Data Engineer Lead Data Engineer role focused on designing and developing scalable data pipelines and workflows, defining best practices, improving data architecture, and mentoring a team of data engineers. The role involves integrating human-driven workflows with automated systems and applying AI/ML or automation techniques to enhance operational efficiency. | — | 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 |