Pricing Engine Product Manager (Insurance SaaS)

Location: Paris, France; hybrid office/home-office policy. Candidates must have authorization to work in France; visa sponsorship may be available.

Company

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

What you will do

• Deepen understanding of actuarial ratemaking, IT deployment challenges, product models, and Policy Administration System design.
• Shape user flows and prototypes through short iteration cycles, addressing complex API management challenges.
• Define frameworks and approaches that prioritize important user pain points and turn insurance complexity into clear solutions.
• Lead user interviews to understand end-user challenges and objectives.

Requirements

• Master’s degree or PhD in a quantitative discipline.
• 3+ years of experience in either the P&C insurance industry or products managing, defining, and orchestrating high-performance API connections and integrations.
• Excellent quantitative and analytical skills.
• Proficiency with LLM tools and a product-builder mindset focused on rapid prototype iteration.
• Very strong problem-solving skills and the ability to create robust solutions.
• Effective communication with technical and non-technical stakeholders and clients.
• Fluent English language skills.

Culture & Benefits

• Builder mindset and tools supporting AI-enabled product development.
• Competitive salary and annual bonus.
• 25 days of paid holidays plus RTT.
• Health insurance with possible family coverage, gym membership, on-site gym facilities, and corporate sporting activities.
• Swile lunch vouchers, public transportation reimbursement, sustainable mobility allowance, sponsored crèche access, and free cafeteria.
• Relocation support and an office in Paris’s 9th arrondissement.

Hiring process

• Background checks may be conducted lawfully, with candidate consent, before formal employment contracts are signed.
• AI tools may support recruitment stages, while final hiring decisions remain human-made.