Senior Product Manager - AI Products

About the role

Simpplr is the AI-powered intranet for unifying the digital workplace, synthesizing signals across connected systems to deliver personalized information and actions. As a Senior Product Manager on the Product Management team, you will shape the future of the AI platform by defining, building, and scaling AI-powered capabilities that improve employee experience across the Simpplr platform. Day-to-day, you will collaborate with AI engineers, data scientists, and cross-functional teams to define roadmaps, product requirements, evaluation frameworks, and governance standards for AI features, agents, and services. This role is based in Bengaluru, India and follows a Hybrid work model.

What you’ll do

• 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, an
• 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

What you’ll bring

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
• 6+ years of product management experience in enterprise SaaS
• At least 2+ years focused on AI/ML-driven products, platforms, or AI-native applications
• Thorough understanding of 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, 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 to reason about complex AI workflows spanning models, planners, tools, memory, guardrails, and human-in-the-loop interactions
• Hands-on experience with prompt engineering, context engineering, conversational experiences, and agent workflows, with ability to rapidly prototype and validate AI concepts

Skills

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field