Staff Software Engineer - Enterprise AI & Automation

Position Summary

Vista Equity Partners is seeking a Staff Software Engineer to join Enterprise AI & Automation, a small,senior team building the production AI applications and shared platform that Vista's own people use to getwork done. Engineers own the full arc, from defining what to build and why to shaping how it's delivered.This individual contributor role, at the Associate Director level and reporting to the Director, AI Solutions Engineering, takes loosely defined business problems through to working software and adoption, and partners directly with stakeholders up to senior executives. The team works primarily in TypeScript,Node.js, and React on Azure, using modern AI tooling throughout the development workflow.

This role can be fully remote within the US or based in our Austin office.

Responsibilities

• Design, build, and operate AI applications and platform services end to end, from early discovery through production support.
• Engage business users to identify the real problem, write product requirements and design documents, and break work into deliverable pieces.
• Use modern AI tooling throughout delivery while holding all shipped code to a high bar of review andquality.
• Lead user testing, rollouts, and go-lives with business owners, managing scope, tradeoffs, status, andadoption directly.
• Own shipped software, including releases, defects, and ongoing iteration.
• Raise the technical bar through thoughtful code and design review, written technical decisions, and improved team practices.
• Help set engineering patterns and standards and evaluate technology options.
• Participate in on-call rotation for production applications and platform services.
• Mentor and level up engineers through everyday project work.

Qualifications

Technical Skills

• 10+ years of software engineering experience, or equivalent demonstrated scope.
• Deep production experience with TypeScript and Node.js, including designing and operating APIs.
• Track record of owning software in production after launch, including support, defects, and iteration.
• Cloud-native delivery on a major cloud platform (Azure preferred), including infrastructure as code,CI/CD, identity, and observability.
• Hands-on experience building generative AI applications in production, including retrieval-augmented generation (RAG) and evaluating and improving answer quality.
• Established AI-native engineering practice, using AI coding tools well beyond autocomplete to ship production software.
• Degree in Computer Science or a related field, or equivalent experience.

Soft Skills

• Excellent written and verbal communication, including the judgment to brief senior executives.
• Product mindset, with experience taking a product or feature set from zero to adoption and understanding the business reasons behind the code.
• Experience working directly with non-technical stakeholders on requirements, tradeoffs, and rollouts.
• Collaborative mindset with the ability to lead by influence and mentor engineers.
• Comfortable with ambiguity, change, and a high degree of autonomy.

The annualized base pay range for this role is expected to be between $140,000 - $260,000. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed and the applicant’s skill set. The base pay is just one component of the total compensation package for employees. Other components may include an annual cash bonus and a comprehensive benefits package.

Company Overview

Vista is a preeminent technology investor, specializing in enterprise AI and software, with over $100 billion in AUM. For over 25 years and across every technology cycle, Vista has been pioneering new approaches to software investing, delivering consistent and compelling results at scale. Today, we're applying that expertise to help harness the transformative potential of AI to redefine how work gets done. Further information is available at vistaequitypartners.com. Follow Vista on LinkedIn, @Vista Equity Partners, and on YouTube.