Job Opportunities API

Wisedocs is a fast-growing, venture-backed AI platform that transforms how insurance companies analyze claims. With ~$20M USD raised, 100+ team members globally, and 90+ customers across North America and Australia, we’re doubling revenue year over year.   Founded by experts who’ve experienced the claims process firsthand, Wisedocs combines deep domain knowledge with next-gen AI trained on 100M+ documents. Our platform turns complex medical records into clear, structured insights—backed by expert human oversight.   Join a mission-driven team building intelligent products that cut through complexity, accelerate decision-making, and make a real impact when it matters most.    Role Summary Join Wisedocs as an Engineering Manager, AI Product Development to lead the next generation of our medical document analysis platform. In this role, you'll manage 2-3 cross-functional pods, guiding AI product and model development from prototype to production at scale. You'll own core data, labeling, training, and inference capabilities while pushing the frontier of medical and claims-based models. You'll have the opportunity to tackle ambitious technical challenges—your team has recently rebuilt inference pipelines for 100x scale, cracked parsing 50k-page PDFs, deployed into isolated government environments, and built a comprehensive medical document reasoning benchmark. This is both a people leadership and technical leadership role, where you'll work cross-functionally to ship products customers love while scaling our AI capabilities across the organization. What We Have   We currently have four types of AI systems running in production, a comprehensive entity classification system, a comprehensive set of internal data labelling applications, an AI playbook and workflow product and a set of Summarization models. Our entity classification has been in production for 5 years and currently processes data asynchronously with a combination of models.  You can read more about our work at  https://www.wisedocs.ai/tech-blog    What you'll be doing Coach and grow an existing strong IC team  Collaborating with other technical stakeholders and leaders to actively work towards the design and implementation of systems.  Ensuring the reliability and scalability of ML systems, implementing best practices in data engineering and model lifecycle management.  Work with our expert in the loop teams to build industry leading evaluations  Other duties and responsibilities will be assigned as projects develop, adjust and mature.  You're a great candidate if you have Experience working across multiple engineering teams to deliver projects  Technical excellence in one area of Machine Learning  Strengths in one of backend engineering, data engineering or cloud engineering  Ability to think through problems end to end, including data, infrastructure, research, monitoring and inference considerations  Possess professional working experience with LLMs, RAG, BERT based models.   A track record of developing high-quality, maintainable code.   Excellent problem-solving skills in an independent and team setting  Are enthusiastic about working in a fast-paced, innovative environment, contributing to a team that aims to make a significant impact in the medical and insurance tech space.  What we offer A hybrid work model, requiring on-site presence at least three times per month (approximate).  Modern employee benefits, including health and dental coverage 100% company paid    Competitive compensation, with valuable stock options