Experience: 3–6 Years
Location: India (Onsite/Hybrid)
Role Overview
We are seeking an experienced Technical Product Manager (TPM) to lead end-to-end delivery of large-scale AI/GenAI programs, including agentic workflows, ML platforms, and enterprise AI solutions. The role requires strong program governance, cross-functional leadership, and technical understanding of AI architectures.
Key Responsibilities 1. Stakeholder Management
- Act as single point of contact for clients, leadership, and cross-functional teams
- Drive alignment between product, engineering, data science, and business teams
2. Technical Program Ownership
- Oversee design and delivery of:
- GenAI / LLM-based solutions (RAG, agentic workflows)
- Data pipelines, ML models, and AI platforms
- Cloud-native deployments (AWS/Azure/GCP)
- Ensure adherence to AI architecture, scalability, and best practices including governance and lifecycle management
3. Execution & Delivery Excellence
- Manage multi-stream programs with distributed teams (Data Scientists, ML Engineers, AIOps, DevOps)
- Track delivery against timelines, budget, and quality benchmarks
- Proactively identify risks, dependencies, and mitigation plans
- Drive Agile / Hybrid delivery models (Scrum, SAFe, etc.)
4. Team Leadership & Capability Building
- Lead cross-functional teams and mentor program managers, leads, and engineers
- Build AI delivery capability across areas such as GenAI, ML engineering, and data platforms
- Drive continuous improvement, knowledge management, and best practices
5. Compliance & Responsible AI
- Ensure adherence to Responsible AI standards, data privacy, and governance frameworks
- Drive risk mitigation related to bias, hallucination, and model governance
Required Skills & Qualifications Experience
- 3-6 years of experience in technology delivery/program management
- 5+ years managing AI / ML / GenAI programs at scale
Technical Skills
- Strong understanding of:
- AI/ML lifecycle, & GenAI architectures
- LLMs, RAG, agentic AI frameworks
- Cloud platforms (AWS, Azure, GCP)
- Experience with data ecosystems, APIs, and enterprise integrations
Product Management Skills
- Proven experience managing large, multi-million-dollar programs
- Expertise in governance frameworks, KPIs, dashboards, and reporting
- Strong risk & dependency management
Leadership & Soft Skills
- Excellent stakeholder management and executive communication
- Strong problem-solving and decision-making abilities
- Ability to operate in high-pressure, delivery-driven environments
Preferred Qualifications
- PMP / PgMP / Agile certifications
- Exposure to industries like BFSI, Insurance, or Healthcare
Key Responsibilities 1. Stakeholder Management
- Act as single point of contact for clients, leadership, and cross-functional teams
- Drive alignment between product, engineering, data science, and business teams
2. Technical Program Ownership
- Oversee design and delivery of:
- GenAI / LLM-based solutions (RAG, agentic workflows)
- Data pipelines, ML models, and AI platforms
- Cloud-native deployments (AWS/Azure/GCP)
- Ensure adherence to AI architecture, scalability, and best practices including governance and lifecycle management
3. Execution & Delivery Excellence
- Manage multi-stream programs with distributed teams (Data Scientists, ML Engineers, AIOps, DevOps)
- Track delivery against timelines, budget, and quality benchmarks
- Proactively identify risks, dependencies, and mitigation plans
- Drive Agile / Hybrid delivery models (Scrum, SAFe, etc.)
4. Team Leadership & Capability Building
- Lead cross-functional teams and mentor program managers, leads, and engineers
- Build AI delivery capability across areas such as GenAI, ML engineering, and data platforms
- Drive continuous improvement, knowledge management, and best practices
5. Compliance & Responsible AI
- Ensure adherence to Responsible AI standards, data privacy, and governance frameworks
- Drive risk mitigation related to bias, hallucination, and model governance
Bachelor's/Master's in any stream 3-6 years