Senior Product Manager, Chemistry

Revolution Medicines•Redwood City, CA

6d•Hybrid

About The Position

Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: We are seeking a Senior Product Manager, Chemistry to deliver products and capabilities that help Chemistry teams make faster, higher-confidence design and progression decisions in oncology-focused drug discovery. This role will define and deliver the product strategy for Chemistry workflows, data products, and AI-enabled decision support using the right mix of internal product development, SaaS platforms, vendor partnerships, integrations, and RevCore capabilities. You will partner with medicinal chemists, synthetic chemists, computational chemists, analytical chemists, DMPK and Biology partners, Data Science, ML Engineering, Data Engineering, IT, and platform teams to turn complex Chemistry workflows into intuitive, scalable solutions that accelerate the Design-Make-Test-Learn cycle.

Requirements

Partner with medicinal chemists, synthetic chemists, computational chemists, analytical chemists, DMPK and Biology partners, Data Science, ML Engineering, Data Engineering, IT, and platform teams
Understand workflows for medicinal chemists, synthetic chemists, computational chemists, analytical chemists, compound management teams, and cross-functional program teams.
Translate Chemistry workflows into clear product requirements, evaluation criteria, user stories, and prioritized capabilities.
Partner with technical teams, vendors, and SaaS providers
Clarify trusted sources and systems of record for key Chemistry data, including compounds, structures, batches, lots, reactions, routes, analytical results, assay results, and calculated properties.
Improve structured data capture, data quality, metadata, and usability across Benchling, D360, legacy CDD data, compound registration, analytical systems, inventory systems, and related Chemistry platforms.
Enable self-service access, compound search, structure search, SAR exploration, semantic discovery, and “Ask your Chemistry data” experiences across priority datasets.
Use modern AI, analytics, workflow, and low-code tools to prototype concepts, validate user needs, and de-risk ideas before full engineering investment.
Partner with Data Science and ML Engineering to identify and deliver AI and GenAI use cases such as chemistry copilots, SAR summarization, analog search, compound profile generation, synthesis-aware design support, and automated annotation
Drive rollout, adoption, and continuous improvement through usage metrics, feedback loops, training, and measurable workflow improvements.

Responsibilities

Own Chemistry product strategy
Define the vision and roadmap for Chemistry products and capabilities across medicinal chemistry, synthetic chemistry, analytical chemistry, compound management, and the Design-Make-Test-Learn cycle.
Build a Now, Next, Later roadmap from foundational compound data capabilities to self-service analytics, model-supported design, and AI-enabled decision support.
Set success metrics tied to trusted compound data access, reduced manual data preparation, faster design cycles, compound progression decisions, and scientific adoption.
Shape product solutions around Chemistry workflows and decisions
Understand workflows for medicinal chemists, synthetic chemists, computational chemists, analytical chemists, compound management teams, and cross-functional program teams.
Design solutions around key decision moments such as compound design, analog selection, route selection, synthesis planning, SAR interpretation, multi-parameter optimization, compound triage, and program prioritization.
Translate Chemistry workflows into clear product requirements, evaluation criteria, user stories, and prioritized capabilities.
Determine when to build, buy, partner, or integrate based on user needs, market capabilities, scalability, differentiation, interoperability, and long-term maintainability.
Establish trusted, reusable Chemistry capabilities and data products
Partner with technical teams, vendors, and SaaS providers to deliver priority Chemistry capabilities across RevCore and core Chemistry platforms.
Clarify trusted sources and systems of record for key Chemistry data, including compounds, structures, batches, lots, reactions, routes, analytical results, assay results, and calculated properties.
Improve structured data capture, data quality, metadata, and usability across Benchling, D360, legacy CDD data, compound registration, analytical systems, inventory systems, and related Chemistry platforms.
Enable self-service discovery, AI use cases, and adoption
Enable self-service access, compound search, structure search, SAR exploration, semantic discovery, and “Ask your Chemistry data” experiences across priority datasets.
Use modern AI, analytics, workflow, and low-code tools to prototype concepts, validate user needs, and de-risk ideas before full engineering investment.
Partner with Data Science and ML Engineering to identify and deliver AI and GenAI use cases such as chemistry copilots, SAR summarization, analog search, compound profile generation, synthesis-aware design support, and automated annotation
Drive rollout, adoption, and continuous improvement through usage metrics, feedback loops, training, and measurable workflow improvements.