IND Senior Manager, Software Engineer
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
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.
