The Mission:

We are looking for aPrincipal Product Managerto own the roadmap and technical execution ofCogentiq-Underwriting. Thisisnta 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 platformdoesntjust predict risks but explains them using 120 validated data points.

The Hands-On Reality (What Youll Actually Do):

1. Zero-to-One Platform Architecture

• Technical PRDs:Write high-fidelity specifications forAgentic AI workflowsthat translate into process automation and decision intelligence. Youarentjust listing features; you are defining how data flows from an unstructured PDFor Databaseinto a structuredUI/UX to help the User takeaccuratedecisions

• Glass-Box UX:Work directly with designers to build interfaces thatsimplify the life of the User while helping them perform at an expert level. You will design how an underwriter double-clicks into an AI suggestionor compares current case withportfolio.

2. Forward-Deployed Solutioning

• The 48-Hour Configuration:Lead Bootcamps where you configureCogentiq-Underwriting productin front of Chief Underwriting Officers.Learn from the field rather than guess at your desk.

• API & Integration Mapping:Partner with client IT teams to mapCogentiqinput-outputs into legacy systems (Guidewire Duck Creek). You should becomfortablewhiteboarding an API integration or discussing data normalization strategies.

3. Commercial ROI Engineering

• The Combined Ratio Narrative:Translate technical improvements orsystemaccuracy gains into bottom-line impact. You will build theEconomic Value Modelsthat prove howCogentiqreduces loss ratios andimproves 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 ofconfiguration fileswith engineers at 10:00 AM and present aBusiness Caseto aCXOat 2:00 PM.

• Insurance Fluent:Youdontneed a glossary to understandBinding AuthorityLoss Runs orSchedule 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 wayhasntbeen written yet.

Technical Mastery (The 2 out of 5 Rule):

We value diverse backgrounds but to lead this product you mustdemonstrateExpert-Level Hands-on Skillsin at leasttwoof these domains:

Qualifications:

• Educational Background:Bachelors degree in a STEM field (Computer Science Engineering Mathematics) or a Quantitative field (Economics Finance); MBA or MS in Data Science/AI preferred.

• Professional Experience:1012 years of total experience with at least 5 yearsinProduct ManagementTechnical Product Ownership orPlatformEngineeringwithin a B2B SaaS environment.

• Domain Expertise:Direct experience inInsurTech FinTech or Enterprise AI. A deep understanding of theinsuranceis highly preferred.

• AI/ML Implementation:Proventrack recordofshipping and scalingsoftware or platformproducts 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 usingSQL and use tools likePostmantovalidatetechnical integrations;sufficient fluency to understandcloud architecture (AWS/Azure) is a plusbut not necessary.

• Strategic Execution:Experience leadingclient-facing deploymentsor 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 likeGuidewire Duck Creek orsuch othercoresystemsisa significant advantage.

• Product Craft:Expert-level ability to writeTechnical PRDsthat 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 buildROI modelsthat link product features to high-level business outcomes

• Soft Skills:Exceptional translator skillsthe ability to command a room of skeptical subject matter experts (Underwriters) whilemaintaininghigh 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.