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TL;DR
Proactive Support Engineer (AI): Architecting a world-class customer experience by fundamentally shifting the support model from reactive to preventative with an accent on case deflection and friction reduction through data-driven strategies. Focus on designing and launching high-impact proactive programs, optimizing self-service resources, and implementing robust product feedback loops using GenAI for analysis and content generation.
Location: Roles are fully remote within the United States or hybrid at hubs in San Francisco, New York City, or Chicago.
Salary: San Francisco Bay Area and New York City: $94,000 - $120,000 USD. All Other US Locations: $82,000 - $105,000 USD.
Company
builds the industry’s largest and most complete view of the U.S. healthcare system, leveraging real-world patient data and AI to reduce the global burden of disease.
What you will do
- Develop and execute a data-driven strategy to significantly reduce inbound support cases.
- Design and launch major proactive support programs, such as early warning systems or targeted communications.
- Implement a scalable process for channeling customer support insights to Product and Engineering teams.
- Optimize customer self-service resources, including knowledge bases and developer documentation.
- Collaborate with Product Marketing and Enablement to ensure comprehensive support for new features.
- Create and deliver reports and dashboards on case trends and proactive support initiatives ROI to leadership.
Requirements
- Strong ability to synthesize quantitative and qualitative data for root cause analysis and actionable plans.
- Proven skill in leading complex cross-functional projects and influencing stakeholders.
- Capacity for strategic and analytical thinking to develop long-term proactive support strategies.
- Ability to clearly articulate complex problems and solutions to diverse audiences.
- Deep customer empathy and passion for solving customer problems.
- Familiarity with modern support ecosystems, including CRMs (e.g., Salesforce Service Cloud), knowledge bases, and analytics tools.
- Experience utilizing GenAI for advanced thematic analysis, content drafting, and personalized self-service recommendations.
Nice to have
- Experience within the healthcare, life sciences, or health-tech industry.
- Familiarity with 's product suite or other complex healthcare data platforms.
- Formal training or practical experience with Knowledge-Centered Service (KCS) methodologies.
- Hands-on experience with BI tools (e.g., Tableau, Looker) and/or a working knowledge of SQL.
Culture & Benefits
- Hybrid work model offering flexibility and choice between remote work or commuting to hubs.
- Comprehensive health, dental, and vision insurance.
- Flexible time off, holidays, and 401(k) with company match.
- Company-paid life insurance and long-term disability insurance.
- Opportunity to contribute to a mission to reduce the global burden of disease.