Position Summary:
Vista Equity Partners is seeking a Senior Software Engineer to serve as the forward deployed engineer for the firm's Finance organization. This individual contributor role, at the Associate level, sits on Enterprise AI & Automation and reports to the Director, AI Solutions Engineering, but works embedded day to day with the Finance Technology team. The engineer learns how Finance works, finds the problems worth solving, and ships production software on Vista's AI platform, from treasury and close tooling to AI experiences over curated finance data. They also partner with the technologists already building inside Finance, so that what the department builds meets platform standards and can run in production. The team works primarily in TypeScript, Node.js, and Reacton 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:
- Embed with Finance as its dedicated engineer: join the team's working rhythms, learn its workflows across areas such as fund accounting, treasury, tax, and the financial close, and build trust with finance stakeholders.
- Turn loosely defined finance problems into product requirements and design documents, and break the workinto deliverable pieces.
- Design, build, and operate finance applications, automations, and AI experiences end to end on Vista's platform, integrating systems such as Snowflake, SharePoint, and Smartsheet.
- Partner with Finance Technology's department technologists: share platform capabilities and patterns,review their code and designs, pair on harder problems, and help their work plug into platform standards instead of running in parallel.
- Bring the most useful finance apps built by business users (for example, in Replit) onto Vista's enterprise platform, up to its security, SDLC, and operational standards.
- Lead user testing, rollouts, and go-lives with finance owners, managing scope, tradeoffs, status, and adoption directly.
- Own shipped software, including releases, defects, and ongoing iteration, with the accuracy, auditability, and data security that financial workflows require.
- Bring Finance's needs back to Enterprise AI & Automation, flagging platform gaps and reusable patterns witha recommendation.
- Use modern AI tooling throughout delivery while holding all shipped code to a high bar of review and quality.
- Participate in on-call rotation for production applications and platform services.
Qualifications:
Technical Skills
- 6+ years of software engineering experience, or equivalent demonstrated scope.
- Production experience with TypeScript and Node.js, and Python, including designing and operating APIs.
- Track record of owning software in production after launch, including support, defects, and iteration.
- Strong SQL and experience building on a cloud data warehouse (Snowflake preferred), including access controls and data quality checks.
- Cloud-native delivery on a major cloud platform (Azure preferred), including infrastructure as code, CI/CD,identity, and observability.
- 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.
Domain Knowledge
- Working familiarity with private equity finance, such as fund structures, capital calls and distributions,management fees and carried interest, fund accounting, and investor reporting. Deep expertise is not required.
- Comfort learning finance workflows quickly and speaking the language of accountants, controllers, and treasury teams.
Soft Skills
- Excellent written and verbal communication, including explaining technical tradeoffs to finance leaders.
- Enjoys working inside a business team: listens first, learns the work, and earns trust by shipping.
- 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 raise the work of technical colleagues outside engineering through review and pairing.
- Comfortable with ambiguity, change, and a high degree of autonomy.
Preferred Qualifications
- Experience in private equity, fund administration, or financial services technology.
- Forward deployed, solutions engineering, or other customer-embedded engineering experience.
- Experience with fund accounting, treasury, or ERP systems and their APIs.
- Hands-on experience building generative AI applications, including retrieval-augmented generation (RAG) and evaluating answer quality.
- Experience supporting or governing citizen developer or low-code populations.
- React or Terraform.
- Experience with agent frameworks or Model Context Protocol (MCP).
The annualized base pay range for this role is expected to be between $95,000 - $180,000. 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.