Outmarket provides an AI platform that helps insurance brokerages by automating critical workflows and delivering actionable insights.
This company operates with a remote-first culture, allowing team members to work from anywhere.
Outmarket AI is pioneering the use of AI to transform commercial insurance workflows. We empower agencies, brokers, MGAs, and carriers to automate operational tasks, manage data efficiently, and boost revenue. Our platform handles quote comparisons, coverage analysis, contract reviews, and policy checking. We integrate seamlessly with major agency management systems like AMS360 and Applied Epic. Using NLP and machine learning, we analyze complex insurance data from emails, PDFs, and internal systems. Over 250 brokerages trust us, saving 12-15 hours per person weekly and cutting errors by 65%. We've secured $21.7 million in funding across two rounds, including a $17 million Series A in 2026, and achieved fivefold year-over-year ARR growth. Join us to build the future of InsurTech.
Outmarket AI champions remote-first flexibility, with team members across the US and India. You will find a humble, hardworking, and collaborative environment here. We prioritize ownership from day one, giving you direct influence over significant projects. Founders work closely with teams, providing mentorship and quick decision-making. We are an AI-first company in everything we do, building rapidly and shipping polished products. This culture fosters continuous growth and high impact.
Engineering at Outmarket AI means solving complex challenges at the intersection of AI and regulated industries. You will work on an AI-native, multi-tenant platform handling sensitive insurance data. We leverage Python, TypeScript, and SQL, building with modern cloud infrastructure like Google Cloud, Kubernetes (GKE), and Terraform. Our challenges include secure SDLC, application security, cloud posture, and supply chain controls. We integrate LLMs for retrieval-augmented generation (RAG), embeddings, and semantic search. You will work with vector databases, context construction, and evaluate model output quality. This environment demands both deep technical skill and a security-conscious mindset.