Engineering Manager, AI Enablement

PitchBook Data•Seattle, WA

3h•$250,000 - $300,000•Onsite

About The Position

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! As an Engineering Manager, AI Enablement in the Technology & Engineering organization, you will lead the team responsible for building and operating the core platforms that enable AI adoption across PitchBook. This role owns the foundational layers that make AI usable, safe, and scalable for product teams, data scientists, and the broader workforce — including managed tool access (MMCP), shared context layers, agent creation and governance, and enterprise AI workflows. Your team acts as a force multiplier, empowering experimentation, capturing high-value wins, and operationalizing them into reusable, production-grade capabilities. This role is critical to PitchBook’s transition into a genuinely AI-enabled organization.

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field (or equivalent experience)
3+ years of experience in an engineering leadership role, managing distributed teams
6+ years of experience building and operating platforms or infrastructure that support developers or data practitioners
Strong experience enabling AI/ML systems in production, including GenAI and LLM-based systems
Experience with AI tooling, orchestration, or agent frameworks (e.g., LangChain, custom agent systems, workflow engines)
Deep understanding of cloud-native architectures (AWS and/or GCP), including Kubernetes and Docker
Experience designing secure, governed access to data, tools, and services
Experience with Python (Java a plus) and building APIs or platform services
Strong systems-thinking skills: ability to design platforms that scale across teams and use cases
Excellent communication skills, with the ability to engage both deeply technical and non-technical audiences
Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Nice To Haves

Experience working across multiple engineering and product teams is a plus

Responsibilities

Own and lead the AI Enablement roadmap, including managed tool access, context management, agent creation and governance, and workflow orchestration
Partner closely with Engineering, Product, Data Science, Security, and Legal to balance innovation, safety, and scale
Build and operate platforms that support: safe experimentation and prototyping, replication and scaling of successful AI patterns, and delivery of prescriptive, production-grade AI solutions
Ensure AI platforms provide consistent context, auditability, lineage, and observability across users, agents, and workflows
Enable teams to transition from ad-hoc experiments to managed, reusable capabilities
Establish standards, best practices, and “golden paths” for AI usage across the organization
Serve as a force multiplier by removing roadblocks, improving processes, and enabling rapid iteration
Translate complex technical concepts into clear narratives for executive, product, and business stakeholders
Foster a culture of psychological safety, experimentation, ownership, and continuous learning
Ensure platforms meet high bars for reliability, security, compliance, and operational excellence
Support and model PitchBook’s values through leadership and collaboration
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested