Inductive Bio

Data Engineer

• Design and implement data pipelines that harmonize, validate, and version scientific data for downstream use in modeling and analysis
• Develop tools and schemas for integrating heterogeneous data types (chemical, image-based, genomic, etc)
• Build and maintain scalable data storage systems and APIs to make experimental and model-derived data accessible to scientists and machine learning teams
• Collaborate with ML Scientists to prepare and curate datasets for training and evaluating predictive models
• Partner with Software Engineers to surface clean, well-structured data to end users through our internal and customer-facing platforms
• Establish and enforce best practices for data governance, reproducibility, and lineage tracking

Engineering Manager

• Own the product strategy and roadmap for Inductive Bio’s agentic software platform for drug discovery
• Drive the evolution of the platform beyond property prediction toward tools that support broader program strategy, powered by proprietary deep learning models and LLMs
• Partner with design, engineering, machine learning, and scientific experts to deliver intuitive, high-impact tools
• Engage directly with users and customers to identify pain points and opportunities
• Collaborate with the cofounders on positioning and go-to-market strategy as the platform expands into new markets and capabilities
• Build and refine product processes, metrics, and practices to enable efficient execution and long-term scalability

Product Manager, Software

Product Manager

• Own the strategy and roadmap for Inductive Bio’s AI-enabled drug discovery services, guiding development from early pilots to scaled offerings
• Partner with scientific, engineering, and ML teams to translate the platform and models into services that create tangible value
• Collaborate directly with customers and prospects to deeply understand workflows, pain points, and success criteria
• Work with the cofounders to define positioning, pricing, and go-to-market strategies for services offerings
• Balance near-term execution with long-term strategic differentiation as the services business expands into new therapeutic areas and markets
• Build repeatable processes and best practices for delivering services engagements at scale while maintaining quality and scientific credibility
• Shape, define, deliver, and scale AI-enabled services in close collaboration with design, engineering, ML, scientific experts, cofounders, and customers

Data Engineer

Product Manager, Software

Product Manager, AI-Enabled Services