Senior Product Consultant - Insurance

Soroco; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Soroco seeks a senior Insurance domain expert to lead the evolution of an AI-driven product that acts as an automated consultant for insurance problems. You will translate deep industry knowledge into actionable product strategies, collaborate with product and engineering, and guide market fit with real-world validations.

You will prototype and refine workflows, validate outputs against expert thinking, and shape partnerships with carriers and brokers to scale impact across enterprise operations.

Qualifications

• 8+ years of deep, practical expertise in Insurance — from consulting, industry operating roles, or building products for the sector.
• A track record of solving real operational problems in insurance working with top carrier and broker firms, in areas such as claims (FNOL through settlement), subrogation, underwriting, policy servicing and billing, etc.
• Comfortable being hands-on and iterative — this role is not limited to an advisory-only role but to closely work with product and engineering regularly.
• Strong ability to articulate how you think through a problem, step by step, in a way others (including an AI system) can learn from.
• Experience using AI and a genuine interest in its application to problems in insurance and in seeing your own expertise scaled through a product.
• Nice to have: Prior experience building playbooks, frameworks, or training materials that codified expert judgment for others.
• Nice to have and not mandatory: Experience in product management and ownership.

Responsibilities

• Partner with product and engineering to define what 'good' looks like in insurance and help productionize that vision.
• Translate your expertise — the frameworks, heuristics, and judgment calls you've built over years — into building the product strategy, value proposition, product market fit and capabilities.
• Act as the domain conscience in product conversations — pushing back when something sounds plausible but wouldn't hold up in a real Insurance operating environment.
• Help discover the right segments of the market where product would add the most value to partners and customers, and direct energies in going after those segments.
• Validate outputs against how a real expert would actually think through the same problem, and flag where the product falls short.
• Work with GTM team to define strategy and bootstrap partner and customer relationships that will shape the product’s market fit.
• Continuously refine the product as it's used in the field, based on real customer scenarios and edge cases.

Skills

Insurance domain expertise

Product strategy

AI in insurance

Problem solving

Communication

Job description

Bangalore South, India | Posted on 08/26/2026

Soroco builds software thatgives operations and business-transformation leaders at the world's biggestcompanies real visibility into how their teams work and a way to make that workbetter. The team behind it is a mix of founders, technologists, and academicsfrom places like Harvard and MIT, and we were doing serious AI work before GPTwas a household name.

Our work graph platform runs onthe digital interaction data enterprise teams generate every day, is backed by600+ patents, and has topped Everest Group's PEAK Matrix for digitalinteraction intelligence for four years running.

Work itself is changing fast asAI takes on more of it, and we're evolving the product to keep pace. Beyondobservability, we want our product to simulate what the future state oftheir work should look like.

About the Role

We want to turn the product intosomething closer to an automated consultant — a domain specialist that'sgenuinely good at analyzing a business problem, reasoning through it,simulating options, and proposing solutions the way a sharp human consultant would.

To build that, we need someonewho already has deep, hard-won expertise in Insurance — earned either inconsulting or from years building products for the industry — and who's excitedto encode that expertise into an AI product. You'd work closely with productand engineering to define, build, test, and keep improving it, and yourjudgment would directly shape decisions tens of thousands of operators rely on.It's a chance to take a career of domain knowledge and turn it into somethingthat scales far beyond what one person could ever achieve in a lifetime workingalone.

Responsibilities

• Partner with product and engineering to define what"good" looks like in insurance and help productionize that vision.
• Translate your expertise — the frameworks, heuristics,and judgment calls you've built over years — into building the productstrategy, value proposition, product market fit and capabilities.
• Act as the domain conscience in product conversations —pushing back when something sounds plausible but wouldn't hold up in a realInsurance operating environment.
• Help discover the right segments of the market whereproduct would add the most value to partners and customers, and direct energiesin going after those segments.
• Validate outputs against how a real expert wouldactually think through the same problem, and flag where the product fallsshort.
• Work with GTM team to define strategy and bootstrap partnerand customer relationships that will shape the product’s market fit.
• Continuously refine the product as it's used in thefield, based on real customer scenarios and edge cases.

Requirements

• 8+ years of deep, practical expertise in Insurance —from consulting, industry operating roles, or building products for the sector.
• A track record of solving real operational problems in insuranceworking with top carrier and broker firms, in areas such as claims (FNOLthrough settlement), subrogation, underwriting, policy servicing and billing,etc.
• Comfortable being hands-on and iterative — this role isnot limited to an advisory-only role but to closely work with product andengineering regularly.
• Strong ability to articulate how you think through aproblem, step by step, in a way others (including an AI system) can learn from.
• Experience using AI and a genuine interest in itsapplication to problems in insurance and in seeing your own expertise scaledthrough a product.
• Nice to have: Prior experience building playbooks,frameworks, or training materials that codified expert judgment for others.
• Nice to have and not mandatory: Experience in product managementand ownership.

What success looks like in this role

In your first four months,you'll have translated your insurance expertise into a defined point of view onwhich workflows the product should redesign and how — specific enough thatengineering can build against it and partners can sell it. By eight months,that work will be in front of real carriers and brokers, and you'll beiterating it against what actually happens in their operating environments.