It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Principal Product Manager
Company Overview
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision.
Fractal is focusing on selling world-class suite of vertical and functional AI products that solve high value enterprise problems under the brand Cogentiq.
About Cogentiq (Fractal's Agentic AI Platform): Cogentiq is Fractal's secure, scalable, enterprise agentic AI platform that enables teams to
build, test, deploy, monitor agents and multiagent workflows with strong
observability, evaluation, guardrails and RBAC across any cloud or LLM framework. It includes a
no/lowcode development console,
Agent & MCP Gateways, and an enterprise marketplace for reusable
agents, tools, connections and guardrails.
The Mission
We are looking for a
Principal Product Manager to own the roadmap and technical execution of
Cogentiq - Underwriting. This isn't a traditional ivory tower PM role. You will be the technical architect of our 90-day go-live promise, acting as a bridge between deep AI research and the messy reality of commercial insurance workflows. You will lead the transition from Black-Box AI to Glass-Box transparency, ensuring our platform doesn't just predict risks but explains them using 120+ validated data points.
The Hands-On Reality (What You'll Actually Do)
- Zero-to-One Platform Architecture
- Technical PRDs: Write high-fidelity specifications for Agentic AI workflows that translate into process automation and decision intelligence. You aren't just listing features; you are defining how data flows from an unstructured PDF or Database into a structured UI/UX to help the User take accurate decisions
- Glass-Box UX: Work directly with designers to build interfaces that simplify the life of the User while helping them perform at an expert level. You will design how an underwriter double-clicks into an AI suggestion or compares current case with portfolio.
- Forward-Deployed Solutioning
- The 48-Hour Configuration: Lead Bootcamps where you configure Cogentiq-Underwriting product in front of Chief Underwriting Officers. Learn from the field rather than guess at your desk.
- API & Integration Mapping: Partner with client IT teams to map Cogentiq input-outputs into legacy systems (Guidewire, Duck Creek). You should be comfortable whiteboarding an API integration or discussing data normalization strategies.
- Commercial ROI Engineering
- The Combined Ratio Narrative: Translate technical improvements or system accuracy gains into bottom-line impact. You will build the Economic Value Models that prove how Cogentiq reduces loss ratios and improves productivity.
- Rapid Prototyping: Use low-code tools or wireframes to test new intelligence features with users before they hit the engineering sprint.
Who You Are
- The Architect-Diplomat: You have 1012 years of experience. You can debate the nuances of configuration files with engineers at 10:00 AM and present a Business Case to a CXO at 2:00 PM.
- Insurance Fluent: You don't need a glossary to understand Binding Authority, Loss Runs, or Schedule Rating. You understand that for an underwriter, trust is more important than speed.
- Bias for Action: You prefer a working prototype over a 50-slide deck. You are comfortable navigating the ambiguity of a startup where the best way hasn't been written yet.
Technical Mastery (The 2 out of 5 Rule)
Skills
We value diverse backgrounds, but to lead this product, you must demonstrate Expert-Level Hands-on Skills in at least two of these domains:
- AI Orchestration: Deep understanding of LLM prompt engineering, RAG architectures, and the trade-offs between model accuracy and processing latency.
- Domain Engineering: Deep knowledge of Commercial P&C workflows (Submission Clearance Risk Assessment Quote). You know where the friction lives.
- Solution Delivery: Experience as a Forward-Deployed Engineer or Technical PM at a high-growth SaaS or Palantir-style deployment model.
- Growth Strategy: Proven ability to build ROI Calculators and Product-Led Growth (PLG) loops that drive platform adoption in change-resistant industries.
- Platform engineering: Proficiency in Data flow discussions, understanding how to abstract a specific client requirement into an actionable schema.
Qualifications
- Educational Background: Bachelor's degree in a STEM field (Computer Science, Engineering, Mathematics) or a Quantitative field (Economics, Finance) required; MBA or MS in Data Science/AI preferred.
- Professional Experience: 1012 years of total experience, with at least 5+ years in Product Management, Technical Product Ownership, or Platform Engineering within a B2B SaaS environment.
- Domain Expertise: Direct experience in InsurTech, FinTech, or Enterprise AI. A deep understanding of the insurance is highly preferred.
- AI/ML Implementation: Proven track record of shipping and scaling software or platform products, specifically those involving NLP, document extraction (OCR/IDP), or Large Language Models (LLMs) in a production environment.
- Technical Literacy: Ability to read API documentation, query databases using SQL, and use tools like Postman to validate technical integrations; sufficient fluency to understand cloud architecture (AWS/Azure) is a plus but not necessary.
- Strategic Execution: Experience leading client-facing deployments or Bootcamps, with the ability to translate complex customer requirements into a configurable product roadmap.
- Systems Familiarity: Prior experience with (or exposure to) core insurance platforms like Guidewire, Duck Creek, or such other core systemsis a significant advantage.
- Product Craft: Expert-level ability to write Technical PRDs that decompose ambiguous AI capabilities into granular logic, data schemas, and Glass-Box UI requirements.
- Commercial Acumen: Strong understanding of SaaS business metrics and the ability to build ROI models that link product features to high-level business outcomes
- Soft Skills: Exceptional translator skillsthe ability to command a room of skeptical subject matter experts (Underwriters) while maintaining high credibility with Senior Engineers.
- Mindset: High-agency, full-stack mentality; comfortable operating in the gray area of an early-stage startup where you must move from high-level strategy to hands-on configuration daily.
Location Preference: Bengaluru
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit Let us know you're interested in a future opportunity by clicking
Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
