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SupportFinity™

Associate Product Manager - Conversational AI

SupportFinity™, Mountain View, California, us, 94039

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Job Details California - Mountain View, CA $115000.00 - $140000.00 Salary/year

Description

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)

Preferred Education: Computer Science degree or MBA strongly preferred

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

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