Data Product Manager leading enterprise data product development at Tiger Analytics, focusing on analytics solutions and project management for data initiatives.
About the role
- Senior Product Manager for Salesforce Agentforce empowering Life Sciences through AI. Collaborating with teams to ensure adoption and management of end-to-end product features.
Responsibilities
- Serve as a vocal advocate for AFLS, delivering compelling examples and technical deep-dives.
- Act as a champion for the "AI-Enabled PM" mindset, demonstrating how AI transforms both the Life Sciences industry and the product management craft itself.
- Use modern AI development tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate the creation of technical documentation, prototype configurations, and feature specifications.
- Act as a mentor and internal consultant to help peers and stakeholders become AI-enabled.
- Own the end-to-end development of specific Agentforce Life Sciences features, from gathering requirements to shipping production-ready tools that solve industry bottlenecks.
- Serve as the primary technical bridge for System Integrators, providing the documentation, architectural guidance, and "best practice" patterns needed to implement AFLS at scale.
Requirements
- 4+ years of experience in Product Management or Salesforce Implementation
- AI-First Workflow: Demonstrated proficiency using AI coding assistants and LLMs (e.g., Cursor, Claude) to speed up technical tasks, research, and content generation.
- Technical Storytelling: Ability to act as an evangelist, distilling complex AI concepts into relatable, high-impact stories for both technical and non-technical audiences.
- Salesforce Platform Fluency: Deep knowledge of the Salesforce platform (Flow, Metadata, Permissions) and the ability to quickly master new AFLS features.
- Life Sciences Domain Knowledge: Understanding of the regulatory landscape of the pharmaceutical industry (HCP interactions and field sales compliance).
- Education: Bachelor’s degree in Computer Science, Information Systems, Business, or a related field.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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