We are seeking a highly motivated and technically proficient AI Product Manager to drive the development and deployment of cutting-edge artificial intelligence solutions within the insurance domain. This is a hands-on role for a product leader who is passionate about leveraging AI to solve complex business problems, across the insurance value chain.

The ideal candidate will bring a strong focus on building production-worthy, measurable, and continuously improving AI products.

The Product Manager would be expected to:

1. AI Product Strategy and Vision:

- Define and Champion: Develop the vision, strategy, and roadmap for AI-powered products that align with the company's strategic goals in the insurance sector.

- Opportunity Identification: Conduct research and analysis to identify high-impact opportunities where AI/ML can create significant business value to our companies and customers.

2. Hands-on AI Solution Development and Prototyping:

- Technical Problem Solving (Hands-on): Be very hands-on in trying to solve insurance problems by directly experimenting with and applying various AI models (LLMs, computer vision, traditional ML) and tools.

- Model Selection and Vetting: Continuously check the performance of various models and tools available in the market to build organizational intelligence on the best models for different types of insurance problems.

- Rapid Prototyping: Rapidly prototype and test AI solutions to validate their technical feasibility and business impact before full-scale development.

- AI/ML Concepts: An understanding of AI Agents, their application in enterprise systems, and familiarity with concepts like MCP Servers and context engineering.

3. Productionization and Evaluation (Evals):

- Building Production-Worthy Solutions: Own the end-to-end lifecycle of AI models, ensuring they transition smoothly from experimentation to robust, scalable production systems.

- Evaluation Frameworks (Evals): Design, implement, and own rigorous AI evaluation frameworks to ensure that all AI solutions meet high standards for accuracy, fairness, robustness, and business impact before and after deployment.

- Metric Definition: Define and track both technical metrics and business metrics to measure the success of AI products.

4. Continuous Improvement and Iteration:

- Performance Monitoring: Establish continuous monitoring of deployed AI models to detect performance degradation (model drift) and data quality issues.

- Iterative Improvement: Continuously iterate on deployed solutions based on performance data, A/B testing results, and user feedback to drive measurable improvements in model performance and business outcomes.

- Responsible AI: Ensure all AI products adhere to ethical guidelines, regulatory requirements, and internal responsible AI principles, with a focus on explainability and bias mitigation.

REQUIREMENTS:

- Experience: 4+ years of experience in Product Management, with at least 6 months building AI powered products.

- Proven Track Record: Must have a proven track record of building and successfully launching production-grade AI solutions that have delivered measurable business value.

- Hands-on Tooling: Demonstrated experience using and evaluating various AI tools, models, and platforms (e.g., cloud services, open-source libraries, LLMs, vector databases).

- Technical Fluency: Strong technical background with a deep understanding of the AI/ML lifecycle, including data pipelines, model training, deployment, and monitoring is a plus.

- Domain Knowledge: Experience in Insurance, FinTech, is a significant advantage.

- Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.

ABOUT RIA:

RIA is a tech company that leverages cutting-edge technology to revolutionize the insurance and healthcare industry. RIA has operations in India and in the US.

At the core of its operations is the Symphony platform, a Vertical AI platform which can be used for customized decision-making, automation, and data orchestration across Insurance and Health products.

Symphony can support businesses with its microservices-based architecture and helps modernize and modularize the legacy system.

WHY JOIN US:

We're building the foundation of our team right now, and are looking for ambitious team members to join us and increase with us. The work environment is fast-paced and you would make a clear impact!

You'll partner with a stellar leadership team from IIT Kanpur, Kellogg, MIT Sloan, IIT Guwahati, and the University of Michigan. The team has also worked at companies such as McKinsey, Goldman Sachs, Niva Bupa, Acko, Care, ICICI Prudential, etc.

We're a well-funded company, which has raised capital from top VCs, global insurers, and prominent Indian family offices.