AI Innovation Analyst - Internal

About Kaseya Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success. Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide. Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike. At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar. Position Summary The Internal AI Innovation Analyst at Kaseya will play a critical role in identifying, evaluating, prototyping, and implementing artificial intelligence solutions that enhance internal operations, productivity, automation, and decision-making. This role partners closely with cross-functional teams, including IT, Product, Security, Engineering, Business Operations, and other internal stakeholders, to pilot AI-driven initiatives, assess emerging technologies, and translate business needs into practical AI use cases aligned with Kaseya’s strategic goals, governance requirements, and security standards. This role will also support the development of API-enabled AI solutions and integrations that connect internal systems, automate workflows, improve data accessibility, and enable scalable AI-powered capabilities across the organization. The ideal candidate has a strong analytical mindset, practical experience with AI tools and automation, and the ability to bridge business problems with technical solutions using AI platforms, APIs, scripting, data analysis, and emerging technologies. Key Responsibilities Identify opportunities to apply AI, automation, and API-based integrations to improve internal workflows, operational efficiency, employee productivity, and data-driven decision-making. Research, evaluate, and prototype emerging AI tools, platforms, models, APIs, and techniques relevant to Kaseya’s business functions. Collaborate with internal teams to gather requirements and translate business needs into scalable AI use cases, proof-of-concepts, pilots, and production-ready solutions. Develop and maintain detailed program plans, timelines, milestones, dependencies, success metrics, and risk assessments for AI initiatives. Design, support, and document API integrations that connect AI solutions with internal platforms, business applications, data sources, automation tools, and reporting systems. Work with REST APIs, webhooks, authentication methods, service accounts, and data exchange workflows to enable secure and scalable AI-driven automation. Analyze data, processes, system performance, and adoption metrics to measure the impact, effectiveness, and ROI of AI initiatives. Support generative AI, LLM, NLP, automation, text-to-speech, speech-to-text, and workflow automation use cases across internal business functions. Partner with IT, Security, Product, and Business Operations teams to ensure AI implementations align with security, compliance, governance, data privacy, and operational standards. Create documentation, enablement materials, user guides, process flows, and training content to support change management and user adoption. Monitor AI industry trends, API capabilities, automation platforms, and emerging best practices to provide recommendations on innovation opportunities. Assist in evaluating vendor platforms, AI tools, APIs, and internal technology solutions for business fit, technical feasibility, risk, scalability, and long-term value. Communicate project updates, findings, recommendations, risks, and results to technical and non-technical stakeholders. Required Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, Business Analytics, Information Systems, or a related field. 2–5 years of experience in data analysis, AI/ML projects, automation, API integrations, digital transformation, or technology innovation initiatives. Practical understanding of AI/ML concepts, including generative AI, LLMs, NLP, automation, data modeling, and applied AI use cases. Experience working with analytics tools, AI platforms, automation tools, or scripting/programming languages such as Python, SQL, R, JavaScript, or similar. Experience working with APIs, including REST APIs, webhooks, JSON, authentication methods, and system-to-system integrations. Ability to gather requirements, analyze workflows, identify automation opportunities, and translate business needs into practical technical solutions. Strong analytical, problem-solving, critical-thinking, and documentation skills. Excellent communication skills with the ability to explain complex technical concepts, AI capabilities, API integrations, and business impact to non-technical stakeholders. Demonstrated ability to work cross-functionally in a fast-paced, innovation-driven environment. Experience in SaaS, IT services, managed services, software, or technology-driven organizations preferred. Preferred Qualifications Hands-on experience prototyping AI-powered tools, copilots, chatbots, workflow automation, reporting solutions, or internal productivity applications. Experience integrating AI solutions with business systems, data platforms, IT tools, or enterprise applications using APIs. Familiarity with Microsoft Azure, Azure AI services, Azure OpenAI, Azure DevOps, Microsoft 365, Power Platform, or similar cloud and automation ecosystems. Experience with prompt engineering, LLM evaluation, AI governance, model testing, or responsible AI practices. Familiarity with text-to-speech, speech-to-text, document intelligence, conversational AI, or knowledge management solutions. Experience creating dashboards, business cases, ROI analysis, process documentation, and executive-ready recommendations. Ability to manage multiple initiatives, prioritize competing requests, and drive pilots from concept through implementation. Additional information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.