Job Overview
Location
United States
Job Type
Full-time
Category
Data Science
Date Posted
June 19, 2026
Full Job Description
đź“‹ Description
- • Manage and optimize a commercial content ecosystem used across Sales, Sales Operations, Proposals, and Marketing teams to support both human and AI-assisted workflows including Claude and Gemini.
- • Ensure accuracy, consistency, and compliance of all commercial content used in client proposals, sales collateral, and marketing materials aligned with Vida’s evidence-based obesity care model.
- • Collaborate cross-functionally with Finance, Product, and Analytics teams to gather, organize, and structure qualitative and quantitative data for benchmarking, proposal development, and sales enablement.
- • Maintain and update content libraries to reflect current clinical guidelines, payer policies, and corporate messaging while ensuring alignment with Vida’s whole-person care philosophy.
- • Streamline content workflows to improve efficiency in proposal generation, reducing manual effort and increasing response speed to RFPs and client inquiries.
- • Serve as the primary point of contact for content-related queries from Sales and Marketing, providing guidance on appropriate content usage, version control, and brand compliance.
- • Monitor and evaluate the performance of AI-assisted content tools, identifying opportunities to enhance output quality, reduce errors, and improve alignment with clinical and commercial objectives.
- • Document and standardize content governance policies, including approval workflows, versioning protocols, and access controls for internal stakeholders.
- • Support the sales cycle by ensuring all client-facing materials reflect Vida’s value proposition, clinical credibility, and technology-enabled care model.
- • Translate complex clinical and operational data into clear, compelling commercial narratives that resonate with Fortune 100 employers, national payers, and large healthcare providers.
- • Conduct regular audits of commercial content to identify outdated, redundant, or non-compliant materials and coordinate remediation with legal and compliance teams.
- • Partner with Product and Analytics teams to incorporate user feedback and performance metrics into content improvements, ensuring continuous optimization of the ecosystem.
- • Train Sales and Marketing teams on proper use of the commercial content ecosystem and AI tools, including best practices for prompting, editing, and validating AI-generated outputs.
- • Maintain a centralized repository of approved content assets with clear metadata tagging for easy retrieval, filtering, and reuse across departments.
- • Stay informed on healthcare industry trends, regulatory changes, and AI advancements to ensure all commercial content remains current, compliant, and competitive.
🎯 Requirements
- • Demonstrated ability to organize large sets of qualitative and quantitative information for benchmarking and proposal development
- • Experience managing commercial content ecosystems used in sales and marketing workflows
- • Proven collaboration with cross-functional teams including Finance, Product, and Analytics
🏖️ Benefits
- • Opportunity to work with AI tools like Claude and Gemini in a mission-driven healthcare environment
- • Support for employees to live their healthiest lives through Vida’s personalized care offerings
- • Partnership with Fortune 100 companies, national payers, and large healthcare providers
- • Contribution to a system that breaks down barriers to obesity and chronic condition care
Skills & Technologies
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About Vida Health Inc.
Vida Health is a San Francisco-based virtual-care company that pairs individuals with coaches, therapists, dietitians and clinicians to manage chronic physical and behavioral conditions such as diabetes, hypertension, anxiety and depression. Through a mobile platform, members receive personalized care plans, biometric tracking, medication management and ongoing messaging or video visits. The company integrates with health plans, employers and health systems, aiming to improve outcomes and reduce costs by combining human expertise with data science and connected devices.
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