Sr.Technical Product Manager

Chubb Life Fund; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Chubb Life Fund in India seeks a Sr. Technical Product Manager to own and deliver AI-enabled technology products for the insurance domain. You will define the product vision, roadmap, and backlog, working with engineers, architects, and data scientists to ship impactful features.

You will drive discovery, manage model performance expectations, ensure regulatory compliance, and communicate strategy to senior stakeholders. This is a hands-on leadership role in a fast-paced digital landscape.

Qualifications

• Experience shipping AI-enabled products in regulated industries.
• Ability to translate insurance problems into buildable product specs.
• Define and track AI feature outcomes and model performance metrics.
• Lead discovery through user research and data analysis.
• Collaborate with engineering, architecture, design and data science.

Responsibilities

• Own the product vision, roadmap, and backlog for insurance technology products.
• Define AI capabilities: what model does, limits, confidence thresholds, human-in-the-loop.
• Translate complex insurance problems into crisp specifications.
• Define and track outcome metrics, including model performance and override rates.
• Drive discovery via user research, stakeholder interviews, and data analysis.
• Work closely with engineering, architecture, design, and data science as co-owner of delivery.

Skills

AI product mgmt

AI model evaluation

stakeholder interviews

data analysis

cross-functional collaboration

regulatory compliance

Job description

About Chubb

Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com.

About Chubb India

At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow

With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.

We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.

Position Details

Job Title: Sr.Technical Product Manager

Function/Department: Technology

Employment Type: Full-time

Location: Hyderabad/Bangalore

Position Summary:

Key Responsibilities:

This is a product role for someone who has shipped AI-enabled products — not managed the backlog for an AI team. You know what a prompt looks like, you have opinions on model selection, you have navigated the "AI works in demo, fails in production" problem. You bring product instincts, insurance domain fluency, and enough technical depth to be taken seriously by engineers and architects. You will own the vision, roadmap, and delivery outcomes for technology products within the insurance domain.

• Own the product vision, roadmap, and backlog for insurance technology products — real ownership means writing the hard prioritization decisions, not just the tickets.
• Define AI product capabilities with precision: what the model does, what it cannot do, how confidence is handled, how humans stay in the loop.
• Translate complex insurance business problems into crisp, buildable product specifications.
• Define and track outcome metrics for AI features — including model performance indicators such as precision/recall thresholds and human override rates.
• Drive discovery: user research, stakeholder interviews, data analysis, and rapid hypothesis testing.
• Work shoulder-to-shoulder with engineering, architecture, design, and data science — you are a co-owner of delivery, not a requirements dispenser.
• Stay close to the regulatory and compliance landscape for AI in insurance; proactively factor it into product decisions.
• Communicate product strategy and trade-offs clearly to senior business and technology stakeholders.