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Sr. Software Development Engineer, AI Enablement

PitchBook Data
United Statesfull_timeVerifiedPosted 16 Mar 2026
💰 $200,000/yr($160,000/yr$200,000/yr)

About the role

At PitchBook, 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, PitchBook is the place for you. 

About the Role:

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 a member of the Product and Engineering organization, you will join a team of builders, innovators, and problem solvers focused on amplifying the impact of AI across PitchBook. We value curiosity, pragmatic experimentation, and a relentless focus on improving how teams work.

As a Senior Software Development Engineer, AI Enablement, you will serve as a senior individual contributor and force multiplier for engineering, product, research, and business teams by designing and building AI-powered developer productivity and general productivity tools. Your mission is to reduce friction, accelerate delivery, and embed AI as a natural extension of everyday work across the company.

Rather than focusing on core infrastructure ownership, this role emphasizes internal platforms, developer tools, workflows, and enablement patterns that help teams build, ship, and operate faster using AI. You will work closely with engineers, product managers, and non-technical partners to translate ambiguous, real-world pain points into scalable, high-impact solutions.

In this senior role, you are expected to operate with a high degree of autonomy, lead complex initiatives end-to-end, and raise the technical bar through strong design, implementation, and mentorship. Your work will directly influence how PitchBook teams use Generative AI, LLMs, and automation to create value—helping the company move faster, innovate more effectively, and fully realize the benefits of its AI investments.

Primary Job Responsibilities:

  • Act as a senior technical force multiplier by building AI-powered tools, workflows, and “golden paths” that significantly accelerate delivery and reduce cognitive and operational overhead
  • Design, implement, and iterate on internal AI-enabled productivity tools (e.g., coding assistants, research accelerators, workflow automation, decision-support tools) used by teams across the company
  • Lead the technical design and execution of complex AI enablement initiatives, from problem discovery through production adoption
  • Partner deeply with engineering, product, and business teams to identify high-impact opportunities where AI can meaningfully improve speed, quality, or scale
  • Build reusable software components, libraries, and reference implementations that make AI easy, safe, and consistent to adopt
  • Set and uphold high standards for code quality, system design, reliability, and maintainability
  • Collaborate in an Agile environment with engineers, product managers, and cross-functional stakeholders
  • Provide technical leadership through code reviews, design reviews, mentorship, and hands-on collaboration
  • Own projects end-to-end with minimal oversight, making sound technical and product trade-offs
  • Continuously evaluate emerging AI tools, frameworks, and best practices and translate them i

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