Senior Product Manager – Inference

We are looking for a Senior Product Manager to join our growing Product Management team.This is a challenging, highly strategic position that sits at the critical intersection of ourpredictive AI engine, external strategic partners, and internal product lines.You will act as the custodian of our core inference and prediction technology, balancing itsdevelopment as a standalone predictive capability while simultaneously enabling its use as aTech-enabled-service layer for partners and internal consumers. You will navigate complexstakeholder landscapes to align ML/AI execution with broad business goals, paving the pathtowards realizing our mission of bringing better medicines to patients 50% faster.Pay range: $150,000 - 180,000We know compensation is an important part of choosing your next role. The range shown reflects our target hiring range, informed by market data, internal equity, and the role’s current scope. Often the mid-range is where we tend to fall, but individual offers may vary based on experience, skills, and the role scope.You Will: ● Manage a Hybrid Inference Roadmap: Develop and execute a strategy for core prediction models that serves two distinct goals:○ Productization into our core 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 core inference engine evolves to support both, while minimizing forking.● Navigate Internal Complexity: Act as a diplomat and strategist within the organization. You will bring clarity to complex, sometimes conflicting internal priorities, driving alignment between Engineering, Science, Go-to-Market, and Product leadership. ● Drive External Partnerships: Serve as the primary product interface for key partners helping to build and consume our predictions. You will translate partner scientific requirements into model capabilities, manage expectations around prediction accuracy/confidence, and ensure our technology creates value for them while remaining scalable for us. ● Bridge the Gap (Science <> ML): Translate preclinical business objectives into technical and data requirements. You will ensure that a single inference engine can effectively serve diverse use cases across the drug discovery pipeline (e.g., Target Identification vs. Safety Assessment vs. Study Design). ● Measure Impact: Define and report on metrics that capture the value of the platform, moving beyond just model performance (F1, Precision/Recall) to demonstrate business ROI and scientific utility to diverse internal stakeholders.You Have:● 5+ years, preferably 7+ years, as a Product Manager, with increasing responsibility on AI/ML or Data Science product ● Biopharma/Preclinical Fluency: You understand the drug discovery lifecycle (from Target ID to Lead Optimization). You can speak the language of scientists to understand the nuance of how a "prediction" helps or hinders their specific workflow. 2+ years experience working in the Biotech or Pharma industry is a strong plus, where you can bring a deep understanding of pre-clinical R&D to this role. ● Experience with Probabilistic Products: You have successfully managed products where the core value is a prediction 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 track record managing inference technology that is consumed via API or service layer, where that same technology powers internal user-facing products. ● Exceptional Stakeholder Management: You excel at navigating internal politics and organizational dynamics. You have a history of driving consensus among strong-minded research scientists and engineers without having direct authority. ● Technical Fluency: Familiarity with LLMs, Knowledge Graphs, or predictive modeling. You don't need to write code, but you must be able to debate trade-offs (e.g., latency vs. accuracy, generalization vs. specificity) with engineering leads. ● Strategic Resilience: You are comfortable with ambiguity and can make data-informed decisions even when the path forward isn't obvious.Benefits and Perks:* A great compensation package that includes BenchSci equity options* A robust vacation policy plus an additional vacation day every year* Company closures for 14 more days throughout the year* Flex time for sick days, personal days, and religious holidays* Comprehensive health and dental benefits* Annual learning & development budget* A one-time home office set-up budget to use upon joining BenchSci* An annual lifestyle spending account allowance* Generous parental leave benefits with a top-up plan or paid time off options* The ability to save for your retirement coupled with a company match!About BenchSci:BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to r