Job Description

Job Location California - Mountain View, CA 94043 Salary Range $115,000.00 - $140,000.00 Salary/year

*We are not sponsoring visas for this position*

About GetInsured:

What started as the “Expedia” of health insurance, has grown to a market leading company that is transforming government IT infrastructures with our proven SaaS and AI technology. Our innovative approach to health insurance shopping and enrollment has expanded beyond exchanges, and we’re now reinventing the way states administer safety net programs such as Medicaid, SNAP (food stamps), child care, and unemployment insurance. With our cutting-edge technology, we’re helping agencies help more people, faster, and transforming health care service delivery as we know it.

We are looking for an Associate Product Manager to join our GetInsured team. GetInsured is the leading provider for state-based marketplace technology with more experience than any technology provider transitioning states off healthcare.gov and implementing exchanges. We are dedicated to helping as many Americans as possible easily find and enroll in affordable health insurance.

Key Responsibilities:

Product Operations & Monitoring:

• Production Triage: Serve as the first line of defense for production issues, prioritizing and escalating critical problems to ensure minimal downtime
• System Monitoring: Maintain vigilant oversight of AI product performance, identifying potential issues before they impact users
• Issue Resolution: Lead troubleshooting efforts, coordinate with engineering teams, and ensure timely resolution of product issues
• Performance Analytics: Track key product metrics and user engagement to identify trends and optimization opportunities
• Release Management
• Release Planning: Coordinate with engineering, QA, and Evals teams to plan and execute product releases
• Quality Assurance: Ensure thorough testing of AI features and maintain high standards for product quality
• Documentation: Create and maintain release notes, product documentation, and process guidelines
• Stakeholder Communication: Keep internal teams and stakeholders informed about release schedules and product updates

Training & User Support:

• User Training Programs: Develop and deliver training materials for internal teams and external users
• Knowledge Management: Create and maintain comprehensive product knowledge bases and FAQ resources
• User Feedback: Collect, analyze, and prioritize user feedback to drive product improvements
• Support Escalation: Handle complex user issues that require product expertise and cross-team coordination

Product Strategy Support:

• Market Research: Assist in gathering competitive intelligence and industry trends in AI product space
• Feature Planning: Support senior product managers in defining product requirements and roadmap planning
• Cross-functional Collaboration: Work closely with data scientists, AI engineers, QA, Evals, business development, and customer success teams
• Process Improvement: Identify and implement operational efficiencies in product development and support workflows

Required Qualifications:

Technical Skills:

• AI/ML Understanding: Basic knowledge of artificial intelligence such as LLMs and agentic AI, machine learning concepts, and data science principles
• Technical Acumen: Ability to understand technical concepts and communicate effectively with engineering teams
• Data Analysis: Proficiency with analytics tools and ability to interpret product metrics and user data
• Project Management: Experience with Agile/Scrum methodologies and project management tools
• Core Competencies
• Problem-Solving: Strong analytical thinking and ability to troubleshoot complex issues systematically
• Communication: Excellent written and verbal communication skills for technical and non-technical audiences
• Organizational Skills: Proven ability to manage multiple priorities and work in fast-paced environments
• Customer Focus: Empathy for user needs and commitment to delivering exceptional user experiences

Experience & Education:

• Education: Bachelor's degree in Computer Science, Engineering, Business, or related field (or equivalent experience)
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  Preferred Education: Computer Science degree or MBA strongly preferred
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  Experience: 2-4 years of experience in product management, technical support, or related roles
• Industry Exposure: Familiarity with SaaS products, technology startups, or AI/ML applications preferred