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Simpplr is an AI-powered intranet platform that unifies the digital workplace by bringing people, knowledge, apps, and agents into a coherent experience. The company serves over 1,000 organizations including AAA, NHS, Penske, and Moderna.
As Senior Product Manager for AI Products, you will shape the future of Simpplr's AI platform by defining, building, and scaling AI-powered capabilities that enhance employee experience. You'll work cross-functionally with AI engineers, data scientists, and product teams to deliver intelligent features spanning AI-driven content discovery, conversational experiences, intelligent automation, and predictive insights.
Key responsibilities include:
- Collaborating with engineering and product leadership to define and execute the roadmap for AI platform, services, and agentic capabilities
- Identifying high-impact AI use cases across the employee experience platform, ensuring alignment with customer needs and business goals
- Defining product requirements, user stories, evaluation criteria, and success metrics for AI-powered features and agents
- Working with AI engineers, architects, and data scientists to translate requirements into AI models, APIs, retrieval systems, and enterprise integrations
- Driving development of reusable AI platform primitives including model gateways, prompt management, evaluation frameworks, and agent tooling
- Establishing evaluation frameworks for AI quality and performance using offline/online evaluations, golden datasets, and LLM-as-a-judge methodologies
- Defining AI platform standards for reliability, scalability, monitoring, failure handling, and cost optimization
- Developing governance frameworks for responsible AI usage, ensuring security, privacy, compliance, and auditability
- Partnering with engineering on AI tool interfaces, APIs, MCP-compatible integrations, and agent interaction patterns
- Collaborating with Customer Success, Sales, and Marketing to drive AI adoption and measurable business outcomes
- Staying current with advancements in GenAI, agents, orchestration frameworks, and responsible AI practices
- Serving as subject matter expert on enterprise AI productization across product, engineering, and go-to-market teams
Required qualifications: Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field; 6+ years product management experience in enterprise SaaS with 2+ years focused on AI/ML-driven products; strong technical acumen with deep understanding of LLMs, GenAI, embeddings, vector databases, RAG, agents, and AI orchestration patterns; experience defining and operating AI evaluation frameworks; hands-on experience with prompt engineering and context engineering.
