Product Engineer (Insurance SaaS)

Location: Paris, France; hybrid office / home office policy

Company

hirify.global provides SaaS technology for insurance pricing and rating, combining transparent machine learning, predictive analytics, and rating technology.

What you will do

• Own product features end to end, from clarifying client needs and scoping solutions to implementation and production follow-up.
• Translate requests from Actuaries, Underwriters, and Product Owners into clear, pragmatic scopes.
• Design data models and build backend and frontend services for the insurance pricing platform.
• Use AI-assisted engineering practices while reviewing, testing, and taking responsibility for shipped code.
• Balance delivery speed, robustness, scalability, and maintainability according to client priorities.

Requirements

• Completed or ongoing PhD in Computer Science, Applied Mathematics, Physics, or another quantitative field.
• Research experience involving software development; no professional experience is required.
• Willingness to grow in testing, code review, and system design while using AI coding assistants in daily work.
• Ability to structure and advance loosely defined problems without step-by-step instructions.
• Pragmatic approach to coding and ability to explain technical trade-offs.
• Focus on user outcomes and understanding why a feature matters before deciding how to build it.
• Must have French or Schengen nationality, or a carte de séjour allowing work from the Paris office.

Nice to have

• Prior experience with Rust, Java, Python, Angular, AWS, or the insurance industry.

Culture & Benefits

• Diverse, highly skilled, motivated team with a strong technology focus and knowledge-sharing culture.
• Hybrid office and home-office policy.
• Competitive salary, annual bonus, and company shares/equity.
• 25 days of paid holidays plus RTT, health insurance with possible family coverage, and public transportation reimbursement.
• Relocation support, Wellpass gym membership, on-site gym and sports activities, Swile lunch vouchers, sustainable mobility allowance, sponsored crèche access, and free cafeteria.

Hiring process

• Background checks may verify employment history, education, and, where legally authorized, criminal records before formal employment contracts, with candidate consent.
• AI tools may support recruitment stages, while final hiring decisions remain human-made.