Senior Product Manager - AI Products

About the role

Simpplr is the AI-powered intranet for unifying the digital workplace. It brings people, trusted knowledge, apps, and agents into a coherent digital experience. Powered by a proprietary EX Knowledge Graph, Simpplr synthesizes signals and context across connected systems to deliver personalized information and actions. The platform serves as a digital hub supporting communications, engagement, employee services, and work. With low-code extensibility and enterprise-grade security and governance, Simpplr enables confident operation at scale. More than 1,000 organizations - including AAA, the NHS, Penske, and Moderna - trust Simpplr to keep their workforce informed, aligned, and productive. Learn more at simpplr.com . We're looking for a highly skilled Senior Product Manager to join our Product Management team . In this role, you'll help shape the future of our AI platform by defining, building, and scaling AI-powered capabilities that improve employee experience across the Simpplr platform. You'll work closely with AI engineers, data scientists, product managers, and cross-functional teams to deliver intelligent features, services, and models that power personalized, contextual, and action-oriented experiences for our users. From AI-driven content discovery and conversational experiences to intelligent automation and predictive insights, you'll help drive the strategy and execution behind the next generation of AI capabilities for Simpplr. This role requires good technical fluency in AI and ML concepts, APIs, and enterprise SaaS products. You'll be responsible for translating complex AI capabilities into scalable product features that drive tangible customer outcomes. Your job responsibilities: what you will be doing Collaborate with engineering and product leadership to define and execute the roadmap for Simpplr's AI platform, services, and agentic capabilities. Partner with product managers and designers to identify high-impact AI use cases across the employee experience platform, ensuring alignment with customer needs, business goals, and platform strategy. Define product requirements, user stories, evaluation criteria, and success metrics for AI-powered features, agents, services, and platform capabilities. Work closely with AI engineers, architects, and data scientists to translate product requirements into AI models, APIs, tools, retrieval systems, orchestration frameworks, and enterprise integrations. Drive the development of reusable AI platform primitives including model gateways, prompt management, evaluation frameworks, knowledge retrieval, observability, governance controls, and agent tooling. Establish evaluation frameworks to assess AI quality and performance, including offline and online evaluations, golden datasets, regression suites, LLM-as-a-judge methodologies, trajectory scoring, and user feedback loops. Define AI platform standards for reliability, scalability, and operational excellence, including monitoring, failure handling, retries, fallbacks, graceful degradation, and cost optimization. Develop frameworks and guidelines to govern AI usage responsibly, ensuring security, privacy, compliance, explainability, auditability, and trust in AI-driven experiences. Partner with engineering teams to define AI tool interfaces, APIs, MCP-compatible integrations, and agent interaction patterns that enable secure and scalable interoperability across enterprise systems. Collaborate with Customer Success, Support, Sales, and Marketing teams to drive AI adoption, customer education, enablement, and measurable business outcomes. Stay current with advancements in AI, GenAI, agents, MCP standards, orchestration frameworks, and responsible AI practices, proactively identifying opportunities to improve and differentiate Simpplr's platform. Serve as a subject matter expert on enterprise AI productization, providing strategic guidance and thought leadership across product, engineering, and go-to-market teams. Your skillset: what makes you a great fit for the team Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. 6+ years of product management experience in enterprise SaaS, with at least 2+ years focused on AI/ML-driven products, platforms, or AI-native applications. Thorough understanding on harness engineering and context engineering and how they influence cost and quality in agentic platforms. Strong technical acumen with deep understanding of modern AI systems, including LLMs, GenAI, embeddings, vector databases, retrieval-augmented generation (RAG), agents, tool use, memory architectures, and AI orchestration patterns. Experience defining and operating AI evaluation frameworks, including offline and online evaluations, golden datasets, regression testing, quality benchmarks, and model performance measurement. Strong systems-thinking skills with the ability to reason about complex AI workflows spanning models,

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