3 months ago

Staff Product Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Lead the end-to-end Portfolio Intelligence product, defining problem spaces and data strategy to empower insurers to make portfolio-level decisions, drive adoption of Batch Rating and Portfolio Analysis, and deliver a robust data layer that underpins pricing models and decision workflows.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Owning and evolving the end-to-end strategy for Portfolio Intelligence, defining a clear problem space and data strategy that enables customers to make better portfolio-level decisions and materially improve loss ratios.
•Taking Batch Rating from early success to widespread adoption, expanding its capabilities to meet the needs of increasingly complex clients and driving meaningful usage across real production workflows.
•Leading the launch of Portfolio Analysis from Beta through to full market adoption, shaping the product where needed and driving strong activation, engagement, and measurable client value.
•Designing and delivering a robust portfolio data layer that allows customers to work with complex, evolving data schemas — and embedding portfolio metrics and insights directly into pricing models and workflows.
•Building the foundations that future agentic tools will rely on, enabling in-context portfolio analysis and decision support, and increasing the depth and sophistication of how customers interact with their data.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsurancePensionEquityCycle To

Key Requirements

•Owned a customer-facing data product end-to-end, from early discovery through to launch and scaling, with clear accountability for adoption and real-world impact.
•Built or led the development of modern data platform components (e.g. metrics layers, semantic layers, or systems working with complex and evolving data schemas), and used them to power decision-making in production.
•Launched and iterated on data-heavy products with deep client involvement, not just shipping features, but working closely with users to ensure what you build actually gets used.
•Developed strong intuition for working with complex data, understanding not just structure, but how to turn that complexity into clear, usable products that drive better decisions.
•Partnered effectively across engineering, design, senior leadership and domain experts (e.g. actuaries, analysts, or similar), and are comfortable operating at the intersection of technical depth and real-world use cases.

Experience:InsuranceSaaSData platform

Languages:English

Tech Stack:AI

Company Brief

Hyperexponential

Provides pricing decision-intelligence (PDI) software (hx Renew) that helps commercial P&C insurers and reinsurers build, deploy and manage pricing and underwriting models using machine learning and alternative data to improve risk selection and pricing performance.

Industry: InsurTech

Company Size: Medium (51 to 250 employees)

Revenue: USD 25M to 50M

Growth: Growth Stage Startup

Funding: Series B

Headquarters: London, United Kingdom

Founded: 2017

Glassdoor: 3.5

Website LinkedIn Glassdoor

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Hyperexponential

3 months ago

Staff Product Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Owning and evolving the end-to-end strategy for Portfolio Intelligence, defining a clear problem space and data strategy that enables customers to make better portfolio-level decisions and materially improve loss ratios.
•Taking Batch Rating from early success to widespread adoption, expanding its capabilities to meet the needs of increasingly complex clients and driving meaningful usage across real production workflows.
•Leading the launch of Portfolio Analysis from Beta through to full market adoption, shaping the product where needed and driving strong activation, engagement, and measurable client value.
•Designing and delivering a robust portfolio data layer that allows customers to work with complex, evolving data schemas — and embedding portfolio metrics and insights directly into pricing models and workflows.
•Building the foundations that future agentic tools will rely on, enabling in-context portfolio analysis and decision support, and increasing the depth and sophistication of how customers interact with their data.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsurancePensionEquityCycle To

Key Requirements

•Owned a customer-facing data product end-to-end, from early discovery through to launch and scaling, with clear accountability for adoption and real-world impact.
•Built or led the development of modern data platform components (e.g. metrics layers, semantic layers, or systems working with complex and evolving data schemas), and used them to power decision-making in production.
•Launched and iterated on data-heavy products with deep client involvement, not just shipping features, but working closely with users to ensure what you build actually gets used.
•Developed strong intuition for working with complex data, understanding not just structure, but how to turn that complexity into clear, usable products that drive better decisions.
•Partnered effectively across engineering, design, senior leadership and domain experts (e.g. actuaries, analysts, or similar), and are comfortable operating at the intersection of technical depth and real-world use cases.

Experience:InsuranceSaaSData platform

Languages:English

Tech Stack:AI

Company Brief

Hyperexponential

Industry: InsurTech

Company Size: Medium (51 to 250 employees)

Revenue: USD 25M to 50M

Growth: Growth Stage Startup

Funding: Series B

Headquarters: London, United Kingdom

Founded: 2017

Glassdoor: 3.5

Website LinkedIn Glassdoor