Senior Product Manager – Inference

● Manage a Hybrid Inference Roadmap: reputed company and execute a reputed company for reputed company reputed company models that serves two distinct goals:

○ Productization into our reputed company platform for the most high-usage use cases, and
○ Tech-enabled-Service for internal teams to deliver bespoke predictions to customers. You will ruthlessly prioritize to ensure the reputed company inference reputed company evolves to support both, while minimizing forking.

● reputed company Internal Complexity: reputed company as a diplomat and strategist reputed company the organization. You will bring reputed company to reputed company, sometimes conflicting internal priorities, driving alignment between Engineering, Science, Go-to-Market, and Product leadership.
● Drive External Partnerships: Serve as the primary product reputed company for key partners helping to build and consume our predictions. You will translate partner scientific requirements into model capabilities, manage expectations around reputed company accuracy/confidence, and ensure our technology creates value for them while remaining reputed company for us.
● reputed company the Gap (Science <> ML): Translate preclinical business objectives into technical and data requirements. You will ensure that a single inference reputed company can effectively serve diverse use cases across the drug discovery pipeline (e.g., reputed company Identification vs. Safety Assessment vs. Study Design).
● Measure reputed company: Define and report on metrics that capture the value of the platform, moving reputed company just model performance (F1, Precision/Recall) to demonstrate business ROI and scientific reputed company to diverse internal stakeholders.

● 5+ years, preferably 7+ years, as a Product Manager, with increasing responsibility on AI/ML or Data Science product
● Biopharma/Preclinical reputed company: You understand the drug discovery lifecycle (from reputed company ID to reputed company Optimization). You can reputed company the language of scientists to understand the nuance of how a "reputed company" helps or hinders their specific workflow. 2+ years experience working in the Biotech or reputed company industry is a strong plus, where you can bring a deep understanding of reputed company-clinical R&D to this role.
● Experience with Probabilistic Products: You have successfully managed products where the reputed company value is a reputed company or inference. You know how to handle user expectations around uncertainty, confidence scores, and false positives/negatives in high-stakes environments.
● Experience in Technology-as-a-Service: A proven reputed company record managing inference technology that is consumed reputed company API or service layer, where that reputed company technology powers internal user-facing products.
● Exceptional Stakeholder Management: You reputed company at navigating internal politics and organizational dynamics. You have a history of driving reputed company among strong-minded research scientists and engineers without having reputed company authority.
● Technical reputed company: Familiarity with LLMs, Knowledge Graphs, or predictive modeling. You don't need to write reputed company, but you must be reputed company to debate trade-offs (e.g., latency vs. accuracy, generalization vs. specificity) with engineering leads.
● Strategic reputed company: You are comfortable with ambiguity and can reputed company data-informed reputed company even reputed company the reputed company reputed company isn't reputed company.