PitchBook
Fintech · Private market data & analytics
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 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 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 |
| 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. 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 |
| Engineering Manager, Machine Learning Operations Engineering Manager for an MLOps team responsible for enabling ML teams by optimizing the ML Development Life Cycle. The role supports projects in GenAI, LLMs, NLP, Classification, and Regression, and is critical for driving AI innovation. | ServeData | 7 |
| Engineering Manager, Machine Learning Operations Engineering Manager for an MLOps team responsible for enabling ML teams by optimizing the ML Development Life Cycle. The role supports projects in GenAI, LLMs, NLP, Classification, and Regression, and is critical for driving AI innovation. | ServeData | 7 |
| Sr. Software Development Engineer Senior Software Development Engineer on the Data Platform team responsible for designing and building backend systems that ingest, correlate, enrich, and serve billions of records across PitchBook's customer-facing products. The role involves owning components end-to-end, writing efficient code, contributing to architecture, and supporting production systems. The engineer will also apply AI tooling to improve development efficiency and experiment with LLM capabilities. | — | 5 |
| 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. 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 |
| 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 |
| Salesforce Administrator This role is for a Salesforce Administrator responsible for configuring, customizing, and integrating Salesforce Sales Cloud, Experience Cloud, and Service Cloud to support go-to-market teams. The role involves managing user access, troubleshooting issues, and staying updated on Salesforce features. It is not directly involved in AI/ML model development or deployment. | — | 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 |
| Sr. Data Engineer This role is for a Sr. Data Engineer at PitchBook, a Morningstar company. The primary responsibilities include building unified data technologies, designing and maintaining database and reporting structures, defining and developing ELT processes and data modeling solutions, and establishing reports and dashboards to translate business data into insights. The role also involves mentoring junior engineers and staying updated on data engineering trends. The required skills include a Bachelor's degree, 5+ years of experience in data engineering, data pipelines, data modeling, data architecture, data cleansing, governance, quality, advanced SQL, Python, ETL/ELT processes, data alerting, data observability, data storage solutions, data warehousing, cloud platforms, and containerized deployment environments. Experience with enterprise technologies is a plus. The compensation is $140,000-$170,000 annually with a 10% target bonus. | — | 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 |
| 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 |