Associate Director, Product Management
New
J
JobgetherBiotech Software
Based in United StatesFull-TimeManager
Salary$195,000–$294,000
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Job Details
- Experience
- 5+ years
- Required Skills
- AgileArtificial IntelligenceMachine LearningProduct ManagementSaaS
Requirements
- 5+ years of experience managing complex, highly technical software products in a technology-first, SaaS, or high-growth environment.
- Strong product management fundamentals across product discovery, definition, prioritization, roadmap development, and execution.
- Demonstrated success building and managing complex internal tools or platforms used by highly technical teams.
- Strong technical fluency with the ability to understand complex AI, ML, and computational concepts.
- Proven track record of shipping reliable, robust software in agile environments.
- Strong strategic thinking, stakeholder management, and communication skills.
- Ability to work effectively across scientific, engineering, AI/ML, and executive stakeholder groups.
- Experience translating complex technical or scientific workflows into intuitive products.
- Familiarity with highly available software architectures and secure cloud deployments is preferred.
- Understanding of data privacy, security, and governance is preferred.
Responsibilities
- Own the complete product lifecycle for the internal drug discovery platform, defining and maintaining a roadmap aligned with broader scientific, technological, and business objectives.
- Establish product vision, priorities, and success metrics, balancing immediate scientific requirements with long-term scalability and platform strategy.
- Communicate product strategy, progress, impact, and priorities to executive leadership and key organizational stakeholders.
- Develop a deep understanding of medicinal chemistry, molecular design, and small-molecule program workflows to identify friction points and opportunities for product improvement.
- Translate complex scientific and computational capabilities into intuitive, reliable, and scalable user experiences.
- Lead the integration of AI agents, automated workflows, and advanced computational tools into the platform experience.
- Partner with technical teams to define requirements, prioritize development work, and ensure reliable delivery of high-quality product capabilities.
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