Vista Equity Partners

Backend Engineer

• Partner with portfolio company technology and product teams to identify and prioritize agentic AI use cases.
• Lead end-to-end delivery of AI agent implementations using Vista’s Agentic Factory methodology.
• Run rapid proof-of-value sprints that demonstrate measurable business impact.
• Conduct architectural reviews and provide recommendations for optimizing AI platform performance, scalability, and security.

Director, Enterprise AI Platform Architect

Product Designer

• Design and rapidly prototype user experiences for AI agents, conversational interfaces, and human-in-the-loop workflows as part of Agentic Factory engagements with portfolio companies.
• Create low-fidelity and high-fidelity prototypes that bring agent interactions to life, moving from concept to testable artifact in days, not weeks.
• Design the UX patterns for how agents communicate status, surface decisions for human review, handle errors gracefully, and build user trust over time.
• Develop conversational flows, dialog models, and interaction patterns that feel natural in enterprise contexts where accuracy and auditability matter.
• Partner with portfolio company product and engineering teams to translate agentic use cases into intuitive user experiences aligned with their existing products and user base.
• Collaborate closely with AI engineers and data scientists within the Agentic Factory to ensure UX decisions are grounded in what the underlying models can reliably deliver.
• Conduct targeted user research and usability testing during Agentic Factory sprints to inform, prioritize, and validate design decisions quickly and incorporate feedback into the next iteration.

Associate Director, UX for AI Agents

Product Manager

• Partner with portfolio company leadership to define and refine product vision, strategy, and roadmaps aligned to Vista’s investment thesis and value creation plans.
• Drive adoption of best-in-class product management practices across portfolio companies, with a strong emphasis on commercial outcomes (ARR growth, retention, expansion, pricing leverage).
• Assess product-market fit, portfolio rationalization, platform strategy, and build/buy/partner decisions.
• Translate market, customer, and competitive insights into actionable product priorities.
• Establish and scale product operating models that emphasize accountability, speed, and measurable impact.
• Drive consistency in product discovery, roadmap planning, delivery, and lifecycle management across portfolio companies.
• Introduce and reinforce metrics-driven product management (e.g., OKRs, North Star metrics, outcome-based roadmaps).
• Ensure tight integration between Product, Engineering, Sales, Marketing, and Customer Success in highly matrixed environments.
• Coach, mentor, and develop CPOs, VPs of Product, and senior product leaders across the portfolio.
• Leverage modern AI-powered product tools and workflows to improve product velocity and quality.

Vice President – Product Management

Software Engineer

• Work with VCT colleagues, investment team members, and portfolio company executives on value creation initiatives
• Define and implement AI & Engineering Operations best practices
• Lead portfolio companies through AI & Engineering Operations maturity assessments
• Partner with portfolio company executives to develop AI & Engineering Operations strategies
• Assess and implement AI-powered development tools across portfolio companies
• Build and maintain strategic relationships with leading AI tool vendors and model providers
• Develop deep expertise in AI code generation tools
• Create scalable AI & Engineering Operations playbooks tailored to different organization sizes
• Identify and pilot emerging AI technologies across the SDLC
• Lead the portfolio's thought leadership in AI & Engineering Operations

Director, Enterprise AI Platform Architect

Associate Director, UX for AI Agents

Vice President – Product Management

Associate Director, AI & Engineering Ops