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Insurance exists to support people at their most vulnerable – after loss, illness, or crisis. Yet too often, the systems behind it fail when they’re needed most. ClaimSorted is fixing that.
ClaimSorted helps insurers outsource claims end to end – a service called Third-Party Administration (TPA), a ~$200B industry. By combining a strong in-house claims team with an AI-enabled platform, we deliver faster claims, better service, and better outcomes for insurers and their customers.
Backed by Y Combinator, Atomico, and Eurazeo, we’ve raised $16M+ and already manage claims for over $200M in insurance premium across 50+ partners, including more than five publicly traded companies. Our goal is to protect every person who needs it.
Location: This role is in-person in our London office 5 days a week
We’re looking for a process-driven insurance/InsurTech professional who can build robust operational frameworks around our rapid-growing claims team. This role is for someone who understands how claims teams really work, where they lose time, where customers feel friction, and where better product design can remove manual effort.
You will turn operational inefficiencies into usable workflows, clear requirements, feedback loops, rollout plans, and data-capture improvements that help the claims team adopt new features quickly and help the product team build what actually matters.
This role sits at the intersection of claims operations and product operations. It is ideal for someone who likes being close to the frontline but also wants to improve the machine behind it.
Act as a bridge between claims, operations and product, making sure product decisions reflect real claims-handling needs.
Identify inefficiencies by working closely with claims adjusters, reviewing workflows, and analysing claims data.
Work with the product team to design, test, and implement process improvements that make claims faster and more efficient.
Ensure new processes and automations are implemented properly and adopted by the claims team.
Track the impact of process changes using data, feedback, and operational metrics.
Strong process thinking: you can map a workflow, spot failure points, and separate core issues from symptoms.
Comfort working with data in spreadsheets and dashboards. You do not need to be a data scientist, but you should be able to interrogate metrics and spot patterns.
Able to write clearly for different audiences: claims, leadership, and product.
High ownership and comfort with ambiguity. You move work forward without waiting for perfect instructions.
Strong stakeholder skills. You can work with claims, product, and leadership without getting lost in translation.
Experience rolling out new systems, features, or workflow changes in an ops environment.
Experience writing product requirements, tickets, SOPs, or process documentation.
Basic SQL, Looker/Metabase/BI, or similar tooling.
Experience in startup or high-growth environments.
