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):

1. "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. 

2. 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. 

3. 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 10–12 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):

We value diverse backgrounds, but to lead this product, you must demonstrate Expert-Level Hands-on Skills in at least two of these domains: 

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: 10–12 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" skills—the 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.