IND Senior Manager, Software Engineer

Position Overview 

We are seeking a highly skilled Technical Product Manager to join our Operations IT team Hyderabad, India. On this role, the TPM will lead the end-to-end development of GenAI-powered applications for the Operations IT team, driving innovation and efficiency across a complex, multi-platform environment. This role combines technical leadership with hands-on development, embedding GenAI capabilities including prompt engineering and Agentic AI into enterprise systems to deliver intelligent, scalable solutions that optimize operations and accelerate business outcomes. As a key technical leader, you will define architecture vision, set engineering standards, and mentor teams while collaborating with cross-functional stakeholders to design well-architected, future-ready systems. This position aligns with the broader Technology organization’s commitment to agile practices, automation, and continuous improvement, ensuring speed, quality, and reliability in software delivery. 

Key Responsibilities 

• Own the AI roadmap for the Operations IT platform, ensuring alignment with enterprise architecture and Operations IT objectives. 

• Champion Agile and SAFe principles by driving iterative delivery, fostering continuous improvement, and ensuring teams operate with clarity, velocity, and predictable execution. 

• Build POCs and prototypes to validate ideas and accelerate delivery. 

• Translate business needs into clear product requirements, user stories, and prioritized backlogs; drive sprint planning and delivery across cross‑functional teams. 

• Oversee end‑to‑end execution of product features, ensuring seamless integration with APIs, eventing frameworks, workflow engines, and cloud platforms. 

• Mentor engineers on GenAI techniques, modern engineering practices, and agile methodologies. 

• Partner with AI and platform teams to integrate GenAI augmentation tools, AI‑driven automation, and intelligence capabilities to optimize engineering and audit workflows. 

• Demonstrated experience managing complex, multi‑team programs with dependencies across engineering, data, operations, and architecture. 

• Build strong partnerships with business and technical stakeholders, influencing leaders across operations, engineering, data science, architecture, and vendor teams. 

• Ensure product documentation, risk assessments, and operational readiness deliverables to meet enterprise standards. 

• Lead, mentor, and grow a high‑performing cross‑functional team, fostering a culture of accountability, collaboration, and continuous improvement. 

Required Skills & Experience 

• 12+ years of Technical Product Management experience with strong ownership of roadmaps, product strategy, and measurable business outcomes 

• Demonstrated experience managing and growing product, engineering, and analyst teams, including setting expectations, coaching talent, and driving team alignment to strategic goals. 

• Experience leading platform modernization initiatives, preferably within insurance, audit, financial operations, or workflow‑driven environments. 

• Proven ability to work within Agile/SAFe environments and lead cross‑functional delivery teams. 

• Excellent communication skills for presenting to senior leaders, steering committees, and cross‑functional working groups. 

• Understanding modern full‑stack architectures, REST APIs, event‑driven, microservices patterns, cloud platforms. 

• Knowledge of system integration concepts, workflow automation, rules engines, and scalable platform design. 

Nice to Have Skills 

• Exposure to GenAI prompt engineering and automation workflows. 

• Agentic AI development through GCP or any Agentic AI frameworks.  

• Experience with Premium Audit domain processes or commercial insurance operations. 

• Hands‑on experience with design tools (Figma), customer journey mapping, and UI/UX collaboration. 

• Exposure to AI agent orchestration platforms, knowledge graphs, or intelligent decision systems.  

• Experience working with globally distributed teams (GCC + onshore) and vendor delivery models. 

• Familiarity with cloud engineering, analytics platforms, or enterprise workflow modernization initiatives.