Strategic Projects Lead - Engineering

Key Responsibilities Project and client management: Work with the world’s leading AI organizations to build next-generation data solutions that push the limits of model capability, while directly driving revenue. Manage expert teams across domains: Lead and coordinate highly specialized contributors across fields like finance, software engineering, law, and more to create high-quality outputs at scale. Shape how AI systems are trained: Design dataset specifications that directly influence how frontier models are evaluated and improved. Your taste and judgement will shape what foundation models become. Drive high-impact execution end-to-end: Own critical projects from idea to delivery. From scoping, executing, iterating, and shipping in a fast-moving, high-stakes environment, you will touch it all. Gain top tier operational experience: Support the team across a range of operational initiatives that will directly contribute to the future of Reinforced Learning. You will work across multiple parts of the business in the same week, ranging from building, analyzing, coordinating, and executing where needed most. Required Qualifications 3+ years of experience in chemical engineering, biomedical engineering, biotech, pharma, or related process/life-sciences engineering roles at top companies, research labs, or clinical/hospital settingsBackground in chemical process design, biomedical devices, drug development, or related life-sciences engineeringDeep understanding of chemistry and biology fundamentals along with quantitative process- and systems-level reasoningHigh agency and strong work ethic; comfort defining problems and thriving with minimal direction in ambiguous situationsDemonstrated leadership excellence and strong communication abilitiesGenuine passion for AI and an entrepreneurial inclinationDemonstrated competitive success (e.g., patents, publications, board/licensing exams, or top-tier academic/professional achievement) Preferred Qualifications Python proficiency or experience with simulation and analysis tools (e.g., Aspen Plus, MATLAB, COMSOL, bioinformatics pipelines)Advanced degree (MS/PhD/MD) in chemical engineering, biomedical engineering, chemistry, or a related fieldExperience in the pharma, biotech, or medical-device industryFamiliarity with Claude Code or similar AI-assisted workflowsExperience across multiple engineering or life-sciences domain