This role involves spearheading the internal Agentic AI revolution at Lookout, Inc. You will be the primary architect responsible for operationalizing AI across various business functions. Design, Build and Maintain Agentic Workflows: Architect and deploy autonomous AI agents using low-code/no-code orchestration platforms (e.g., N8N) and enterprise LLMs (e.g., Gemini Enterprise). Architect and deploy autonomous AI agents using low-code/no-code orchestration platforms (e.g., N8N) and enterprise LLMs (e.g., Gemini Enterprise). Translate Business Needs to AI Logic: Act as the bridge between non-technical stakeholders and AI capabilities. Dissect requests from departments like Finance or Legal and re-engineer their processes for compatibility with LLMs and agents. Act as the bridge between non-technical stakeholders and AI capabilities. Dissect requests from departments like Finance or Legal and re-engineer their processes for compatibility with LLMs and agents. Systems Integration & Orchestration: Integrate agents with Salesforce, NetSuite, Workday, Marketo, Vena, and other enterprise platforms via APIs and webhooks. Integrate agents with Salesforce, NetSuite, Workday, Marketo, Vena, and other enterprise platforms via APIs and webhooks. Data Strategy for Agents: Extract, clean, and contextually feed data from siloed systems into AI models for accurate outputs. Extract, clean, and contextually feed data from siloed systems into AI models for accurate outputs. Influence Internal AI Strategy: Identify high-value use cases for multi-step agentic automation. Identify high-value use cases for multi-step agentic automation. Governance & Maintenance: Own the lifecycle of internal agents, ensuring security, cost-effectiveness, and functionality. Own the lifecycle of internal agents, ensuring security, cost-effectiveness, and functionality.

We’re looking for a Creative Technologist who lives at the intersection of AI, automation, and creative problem-solving. This isn’t a “I use ChatGPT sometimes” role—we need someone who understands how large language models actually work, can architect end-to-end workflows, and knows when AI meaningfully saves time versus when it’s just a shiny distraction. You’ll work directly with the Head of Creative Technology to translate complex creative needs into repeatable, scalable systems. Design, build, and maintain AI-powered workflows that support creative teams across the agency Advise on where AI meaningfully saves time or elevates craft—and push back when it doesn’t Translate creative briefs and production needs into repeatable, documented systems Prototype new tools and processes, test them in real workflows, and hand stable solutions off to production teams Scout and evaluate AI vendors, models, and platforms—separating signal from hype Run creative QA on AI-generated outputs to ensure quality and brand consistency Maintain clear documentation for every tool, workflow, and system you build Act as a buffer between leadership vision and day-to-day execution, keeping work moving and teams unblocked

In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source documentation via enterprise assets, we’re adding resources to our Claim Edit Hub team. This team will work to derive rules/edits directly from source documents (i.e. Policies) and expose them via Agentic workflow to make them accessible in a real time manner. This will also support our “shift left” strategy to enable claim edits/rules to be executed on Trial Claims to provide transparent cost estimates to Providers and Members. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Responsible AI & Compliance Building & Productionizing AI Systems (agentic services, APIs/SDKs, RAG/CAG, E2E pipelines) Ensure Model Quality, Evaluation, Security & Safety Implement Observability, Operations excellence Drive Architecture, Governance & Engineering Standards Cross Functional Leadership & Collaboration

Vista Equity Partners is seeking a Senior Vice President of AI Innovation to lead and scale AI delivery across our 90+ portfolio companies through Vista’s Agentic Factory. This is a senior leadership role at the center of Vista’s most differentiated capability: a proven methodology for partnering with portfolio company leadership to identify high-value agentic use cases and rapidly ship production AI agents that deliver measurable business impact. The SVP will set the strategic direction for Agentic Factory engagements, lead a team of embedded AI engineers and architects, and serve as the senior practitioner voice on agentic AI across the portfolio. The ideal candidate combines deep expertise in generative AI, agents, and agentic architectures with the leadership presence to drive adoption at the executive level and the technical credibility to earn the trust of engineering teams on the ground. This is a hands-on leadership role — not a board assignment or a passive advisory function. The SVP will be in the work: setting the technical bar, removing blockers, and ensuring Vista’s Agentic Factory methodology delivers at the pace and quality the portfolio demands. Portfolio Strategy and Agentic Delivery Leadership Own the strategic direction and end-to-end delivery of Agentic Factory engagements across the portfolio, ensuring agentic AI becomes a durable competitive advantage for Vista companies. Partner with portfolio company senior leadership — including CEOs, CTOs, and CPOs — to identify and prioritize the highest-value agentic use cases aligned with product roadmaps, revenue objectives, and operational efficiency goals. Lead and govern rapid proof-of-value sprints that demonstrate measurable business impact, then drive portfolio companies from prototype through production at enterprise scale. Oversee AI maturity assessments across the portfolio using Vista’s scoring rubrics, identifying gaps, setting improvement priorities, and ensuring tailored roadmaps translate into execution. Ensure architectural quality across portfolio engagements, setting the standard for AI platform performance, scalability, security, and long-term maintainability. Champion the Agentic Factory methodology across Vista’s ecosystem — refining it based on delivery learnings and scaling what works across new engagements. Create a culture of technical delivery, excellence, and innovation. AI Platform Architecture and Standards Set and evolve Vista’s technical standards for AI platform architecture across the portfolio: cloud strategy, agentic design patterns, vendor independence, observability, and governance. Oversee the development and maintenance of reference architectures for agentic systems — including single-agent, multi-agent, and human-in-the-loop patterns — that serve as the foundation for every Agentic Factory engagement. Ensure autonomy calibration frameworks are applied consistently across enterprise deployments, incorporating human-in-the-loop checkpoints appropriate to risk, regulatory requirements, and domain complexity. Define and enforce standards for AI model development, deployment, monitoring, and governance — including data privacy, model provenance, and audit trails for agent decision-making. Evaluate and select AI tools, platforms, and vendors in partnership with portfolio companies and Vista’s technology leadership. AI Innovation and Thought Leadership Serve as Vista’s senior practitioner voice on generative AI, agents, and agentic architectures — providing strategic guidance to portfolio companies, Vista leadership, and prospective investors. Continuously assess the frontier of agentic AI — new models, frameworks, tooling, and architectural patterns — and translate findings into concrete recommendations for what Vista should build, scale, or adopt across the portfolio. Develop and evangelize best practices for AI platform design and delivery across the portfolio, capturing learnings from Agentic Factory engagements and converting them into reusable assets. Contribute to Vista’s external thought leadership positioning, including investor communications, industry forums, and ecosystem partnerships. Team Leadership and Development Lead, mentor, and scale a team of embedded AI engineers, architects, and program managers working directly with portfolio companies across simultaneous Agentic Factory engagements. Foster a high-performance culture defined by speed, craftsmanship, and measurable outcomes — where engineers are empowered to move fast and deliver production-grade work. Manage team resources, capacity planning, and cross-portfolio prioritization to ensure the highest-impact engagements are staffed and delivered on time. Drive recruitment of additional AI talent in partnership with Vista’s leadership and talent acquisition teams. Champion knowledge transfer across the Agentic Factory community, building reusable patterns, shared tooling, and practitioner networks that compound value across the portfolio. Program Management and Governance Lead the planning, execution, and monitoring of AI programs across the portfolio, targeting MVP delivery in under a quarter and production deployment on compressed timelines. Develop and manage program budgets, timelines, and resource allocation across the Agentic Factory portfolio. Track and report on the performance of AI initiatives, delivering regular updates and executive-level insights to Vista’s Managing Director and senior leadership. Ensure proper governance of AI projects, including model risk management, compliance oversight, and vendor accountability. Due Diligence and Strategic Support Partner with Vista’s deal team during M&A due diligence to assess AI technology capabilities, technical debt, and readiness for agentic AI adoption within target companies. Provide technical assessments and AI value creation frameworks that inform investment decisions and post-close integration plans. Support fundraising efforts by articulating Vista’s Agentic Factory differentiation and the measurable impact AI is driving across the portfolio. What You Are an Expert In Technical Expertise Generative AI including large language models (LLMs), diffusion models, and retrieval-augmented generation (RAG) architectures Agentic architectures, autonomous agents, and multi-agent systems at enterprise scale Cloud AI platforms across AWS, Azure, and GCP AI model development, deployment, and lifecycle management Prompt engineering, model fine-tuning, and evaluation design Machine learning and deep learning fundamentals Platform abstraction and vendor-independent architecture design Operational Expertise Leading and scaling technical teams delivering across multiple portfolio companies simultaneously Translating AI strategy into production-ready outcomes on compressed timelines Executive-level stakeholder management and cross-organizational influence AI maturity assessment, roadmap development, and portfolio-wide improvement planning Translating complex technical concepts for board-level and investor audiences Problem-solving and decision-making in high-ambiguity, high-stakes environments Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). 8+ years of experience in AI and enterprise technology, with a demonstrated track record of leading AI initiatives from concept to production at scale. Deep recent experience (3+ years) in generative AI and agentic architectures in live production environments, not just prototypes. Proven ability to lead and grow high-performing technical teams across matrixed or multi-client environments. Extensive experience partnering with senior leadership teams — including C-suite executives — to drive AI adoption within complex organizations. Strong understanding of public cloud AI services and the ability to set vendor-agnostic architectural standards across a portfolio. Excellent communication, presentation, and interpersonal skills — able to engage credibly with both engineering teams and executive stakeholders. Experience in private equity, management consulting, or multi-client environments serving enterprise software companies is highly desirable. Ability to travel as required to portfolio company sites. The annualized base pay range for this role is expected to be between $350,000 – $450,000. Actual compensation will vary based on experience, expertise, and geographic location. Additional components include annual performance-based bonuses and a comprehensive benefits package. Vista is a leading global investment firm that exclusively invests in enterprise software, data and technology-enabled organizations across private equity, permanent capital, credit and public equity strategies, bringing an approach that prioritizes creating enduring market value for the benefit of its global ecosystem of investors, companies, customers and employees. Vista’s investments are anchored by a sizable long-term capital base, experience in structuring technology-oriented transactions and proven, flexible management techniques that drive sustainable growth. Vista believes the transformative power of technology is the key to an even better future — a healthier planet, a smarter economy, a diverse and inclusive community and a broader path to prosperity. Further information is available at vistaequitypartners.com. Follow Vista on LinkedIn, @ Vista Equity Partners, and on X, @ Vista_Equity.