Software Development Engineer, AI Enablement
Listed on 2026-02-16
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Staff Software Development Engineer, AI Enablement
Seattle, Washington, United States
At Pitch Book, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, Pitch Book is the place for you.
About the Role:
As a member of the Product and Engineering team at Pitch Book, 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 a Staff Software Development Engineer, AI Enablement, you will operate as a technical leader and force multiplier across Product, Engineering, Research, and Business teams. Your role is to define, build, and scale AI-powered productivity capabilities that fundamentally change how Pitch Book teams work, ship, and innovate.
This is a high-impact, high-autonomy role focused on software systems, internal platforms, and developer productivity tools, rather than core infrastructure ownership. You will identify the highest-leverage opportunities for AI enablement, set technical direction, and deliver reusable solutions that accelerate delivery, improve quality, and reduce friction across the organization.
You will partner closely with engineering leaders, product leaders, and executive stakeholders to ensure AI is embedded into workflows in a safe, scalable, and repeatable way. Your work will directly influence Pitch Book’s ability to move faster than competitors, fully realize the value of AI investments, and attract and retain top technical talent.
Primary
Job Responsibilities:
- Act as a technical force multiplier at the organizational level, designing AI-powered tools and workflows that unlock step-change productivity gains
- Define and own the technical vision and roadmap for internal AI enablement and developer productivity capabilities
- Architect and build scalable internal platforms, libraries, and “golden paths” that make AI easy, safe, and effective to adopt
- Identify systemic bottlenecks in development, research, and knowledge workflows and translate them into high-impact AI solutions
- Lead complex, ambiguous initiatives end-to-end, from problem framing and experimentation through production adoption
- Partner with senior engineers, managers, product leaders, and non-technical stakeholders to align solutions with business priorities
- Establish best practices, patterns, and standards for AI usage across teams, including quality, safety, and evaluation
- Provide technical leadership through design reviews, mentorship, and hands-on collaboration across multiple teams
- Evaluate emerging AI technologies and translate them into practical, production-ready capabilities
- Champion responsible AI usage, scalability, and long-term maintainability
- Model Pitch Book’s values by fostering a culture of curiosity, collaboration, and continuous improvement
- Supp…
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