Technical Product ManagerAI/Generative AI Platforms Location: [US] Type: Full-time Department: Product ManagementAbout the RoleWe are seeking a Technical Product Manager (TPM) to lead the development of our AI and Generative AI platform. You will be responsible for defining product strategy, working with cross-functional teams, and delivering scalable AI/ML solutions that power next-generation applications. This role requires a deep understanding of AI/ML technologies, APIs, cloud infrastructure, and MLOps while ensuring alignment with business and user needs.________________________________________Key Responsibilities Product Strategy & Roadmap Define and execute the product vision, strategy, and roadmap for AI/Generative AI platforms. Prioritize features and technical investments based on market trends, customer needs, and business objectives. Collaborate with leadership to align AI/ML initiatives with company goals. AI/ML Platform Development Drive the design and development of scalable, modular, and flexible AI/ML infrastructure. Work with engineering teams to build LLM APIs, model-serving frameworks, and AI-powered SaaS capabilities. Define best practices for MLOps, model monitoring, and AI observability. Cross-functional Collaboration Partner with data scientists, ML engineers, and DevOps teams to ensure seamless AI/ML integration. Work closely with UX, legal, compliance, and security to ensure responsible AI practices. Collaborate with customers, developers, and stakeholders to gather feedback and iterate on features. Technical & Business Alignment Define AI-powered product requirements, technical specifications, and performance metrics. Oversee model lifecycle management, from data ingestion to model deployment and fine-tuning. Work with Cloud, API, and Data Engineering teams to optimize platform scalability and cost efficiency. AI Adoption & Innovation Stay ahead of AI trends (LLMs, multimodal AI, retrieval-augmented generation, AI safety). Drive AI product experimentation (A/B testing, reinforcement learning, hyperparameter tuning). Ensure AI solutions comply with GDPR, SOC 2, HIPAA, and Responsible AI standards.________________________________________Required Qualifications Technical Expertise 5+ years in product management, preferably in AI, ML, or Generative AI platforms. Strong understanding of AI/ML concepts, deep learning, NLP, and LLMs. Experience with MLOps, model training, deployment (Kubernetes, MLflow, TensorFlow, PyTorch). Knowledge of cloud AI platforms (AWS SageMaker, GCP Vertex AI, Azure AI). Familiarity with API design, vector databases (Pinecone, Weaviate), and retrieval-augmented generation (RAG). Hands-on experience working with Agentic AI frameworks (AutoGen, CrewAI, LangChain, LangGraph, Semantic Kernel) Product & Business Acumen Experience managing AI infrastructure, APIs, and developer platforms. Strong ability to translate AI/ML capabilities into user-friendly product features. Excellent stakeholder management, agile product development, and prioritization skills. Nice-to-Have Skills Experience with LLM fine-tuning, prompt engineering, and AI safety techniques. Prior work in SaaS, enterprise AI platforms, or AI governance. Background in software engineering, data science, or AI research.________________________________________ (1.) Key Responsibilities
1. To drive value creation in the engagement, proactively identify and implement process enhancements, optimizing program efficiency through streamlined workflows.
2. To build strong relationships with key Program Partners / Stakeholders and manage their interests for smooth integration and implementation of the program and achievemen