Solutions Engineer

What We Do Insurance is a $10T industry still running on PDFs, email threads, and manual reconciliation. Ascend is changing that. We built the first and only complete financial operations platform purpose-built for insurance — combining AI-powered accounting automation, payments, and premium financing in a single vertically integrated solution. In five years, we've become the market leader: over 4,000 businesses, including more than half of the 50 largest brokers in the country, trust Ascend to bring clarity to complex accounting operations — from collection to close. How We Do It Ascend automates the financial operations that insurers, MGAs, and agencies run every day — and embeds directly into the transactions where money actually moves. AI is driving the cost of software toward zero. The companies that win won't just sell tools — they'll capture value at the point of the transaction itself. Ascend is built for exactly that moment. Our customers don't just adopt software; they unlock measurable efficiency with a proven 5–7x return on investment. Our ~100 person team is based in San Francisco and Columbus, brings together deep expertise in insurance, fintech, and AI to build infrastructure the industry has never had. Why We Do It The insurance industry intermediates trillions of dollars — and almost none of that infrastructure was built for the modern era. Legacy system [... source excerpt omitted ...] lutions Engineer (Contract) to take full ownership of critical AI agentic workflows. You’ll shape how automation powers the insurance industry—improving accuracy, scalability, and customer experience at every step. You’ll dive deep into complex data problems, fine-tune prompts, and refine systems that power the automation layer behind Ascend’s financial infrastructure. This role is a mix of hands-on problem-solving, experimentation, and collaboration with Product, Operations, and Engineering teams to make our automation more reliable and intelligent. This is a contract role based on-site at our San Francisco office, 40 hours per week for six months. Responsibilities Own and o [... source excerpt omitted ...] igh-accuracy iteration on prompt workflows. Technical implementation & tooling Partner with internal teams to improve testing, monitoring, and refinement processes. Support new customer and organization onboarding through internal tooling improvements. Provide feedback and insights to shape the broader product roadmap. Customer & stakeholder collaboration Work closely with internal and external users to gather context, troubleshoot challenges, and deliver consistent, high-quality results. Quality assurance & reporting Track and analyze AI workflow accuracy metrics, uncovering trends and root causes. Recommend process improvements to reduce manual work over time. Build r