Jobs at OneOrigin

Analyzes recurring operational issues and data to identify root causes, then translates business rules into AI requirements, prompts, validation checks, and test cases. Collaborates with Product, Engineering, AI/ML, and Implementation teams to improve extraction, mapping, classification, and automation workflows. Evaluates LLM outputs, identifies failure patterns, builds reusable AI workflows and evaluation datasets, measures accuracy and efficiency improvements, and documents reusable solutions.

Develop and support AI-powered software solutions that automate higher education administrative processes, improve student engagement, and enable data-driven decision-making. The role’s specific responsibilities, team structure, and qualifications are not provided in the posting.

Analyze recurring operational corrections, identify root causes, and convert institutional rules into product requirements, validation checks, and test cases. Collaborate with product and implementation teams to improve extraction, mapping, and reusable rules. Measure reductions in errors and manual effort, validate improvements across customers, and document solutions for effective handoffs.

The job description provides limited role details. The AI Fullstack Engineer will presumably help develop AI-powered software solutions for higher education institutions, supporting administrative automation, student engagement, and data-driven decision-making. Specific responsibilities, technologies, qualifications, experience requirements, compensation, travel, and clearance information are not provided.

Operate and improve AI prospecting agents, personalize outreach, qualify meetings, handle inbound customer inquiries, identify upsell opportunities, maintain lead intelligence dashboards, and measure messaging performance through response tracking and A/B testing. The role requires strong communication, adaptability, comfort with AI tools, and curiosity about sales systems.

Own full-cycle B2B sales for US mid-market and enterprise accounts, using AI prospecting agents, ROI models, proposal generation, CRM automation, and sales analytics. Coordinate solution engineering for demos and proofs of concept, maintain pipeline momentum, and improve AI sales workflows using closed-deal insights. Requires at least three years of B2B closing experience, strong discovery and value-quantification skills, excellent communication, and willingness to use AI tools daily.

Build and ship full‑stack product features, developer tools, and code‑intelligence workflows using React/Next.js, TypeScript, Node.js/Python, Postgres, and cloud services. Improve AI-assisted developer workflows, create repo‑aware copilots, automate testing/CI checks, review AI-generated code for security and performance, and document reusable patterns and engineering playbooks.