Trust In SODA
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Overview Trust in SODA has partnered with an exciting start-up that builds AI agents to automate manual tasks for the insurance industry. They started with voice and are expanding into full workflow automation across sales, servicing, and claims. The long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance and eventually expanding into broader financial services.
Role:
Customer-facing Agent Product Manager to join their growing team. You’ll partner with enterprise clients to identify high-impact opportunities for AI adoption, design agent-based workflows, and oversee successful implementations. You’ll serve as the bridge between customer needs and the AI engineering team, ensuring solutions deliver real business value.
Responsibilities
Identify & Prioritize Use Cases:
Partner with strategic accounts to uncover efficiency gaps, automation opportunities, and high-value AI applications. Lead discovery sessions to map business needs.
Facilitate Product Design Workshops:
Co-create solutions with clients by running design workshops that transform business requirements into AI agent workflows.
Define Requirements:
Translate customer insights into clear, actionable requirements for the AI Agent Engineering team. Ensure alignment between business goals and technical delivery.
Lead Implementations:
Manage the full lifecycle of AI solution deployments, from planning to delivery. Oversee timelines, expectations, and success metrics while acting as the primary customer interface.
Champion Customer Success:
Ensure adoption, measure impact, and recommend optimizations in partnership with AI Customer Success Managers.
Qualifications Must Have:
Strong sense of ownership, urgency, and customer focus—thriving in an early-stage startup environment
3–5 years in customer-facing or hybrid tech roles (e.g., product management, customer success, implementation, strategy consulting, or solutions engineering)
Proven ability to translate business requirements into technical specifications or product briefs
Experience leading workshops and navigating ambiguous client needs
Analytical thinker with excellent problem-solving skills
Outstanding communication skills—able to influence both technical and business stakeholders
Experience with enterprise SaaS implementation or deployment
Nice to Have:
Familiarity with AI/ML products, automation platforms, or workflow optimization
Background in insurance, fintech, or other regulated industries
Knowledge of prompt engineering or agent-based AI systems
Nice to Have (Additional Information)
Competitive salary plus equity options
Flexible PTO
401(k) plan
Comprehensive health, dental, and vision coverage
Flexible work environment, including remote work options
A collaborative, innovative culture where your impact is visible
Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Product Management
Industries: Insurance
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Overview Trust in SODA has partnered with an exciting start-up that builds AI agents to automate manual tasks for the insurance industry. They started with voice and are expanding into full workflow automation across sales, servicing, and claims. The long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance and eventually expanding into broader financial services.
Role:
Customer-facing Agent Product Manager to join their growing team. You’ll partner with enterprise clients to identify high-impact opportunities for AI adoption, design agent-based workflows, and oversee successful implementations. You’ll serve as the bridge between customer needs and the AI engineering team, ensuring solutions deliver real business value.
Responsibilities
Identify & Prioritize Use Cases:
Partner with strategic accounts to uncover efficiency gaps, automation opportunities, and high-value AI applications. Lead discovery sessions to map business needs.
Facilitate Product Design Workshops:
Co-create solutions with clients by running design workshops that transform business requirements into AI agent workflows.
Define Requirements:
Translate customer insights into clear, actionable requirements for the AI Agent Engineering team. Ensure alignment between business goals and technical delivery.
Lead Implementations:
Manage the full lifecycle of AI solution deployments, from planning to delivery. Oversee timelines, expectations, and success metrics while acting as the primary customer interface.
Champion Customer Success:
Ensure adoption, measure impact, and recommend optimizations in partnership with AI Customer Success Managers.
Qualifications Must Have:
Strong sense of ownership, urgency, and customer focus—thriving in an early-stage startup environment
3–5 years in customer-facing or hybrid tech roles (e.g., product management, customer success, implementation, strategy consulting, or solutions engineering)
Proven ability to translate business requirements into technical specifications or product briefs
Experience leading workshops and navigating ambiguous client needs
Analytical thinker with excellent problem-solving skills
Outstanding communication skills—able to influence both technical and business stakeholders
Experience with enterprise SaaS implementation or deployment
Nice to Have:
Familiarity with AI/ML products, automation platforms, or workflow optimization
Background in insurance, fintech, or other regulated industries
Knowledge of prompt engineering or agent-based AI systems
Nice to Have (Additional Information)
Competitive salary plus equity options
Flexible PTO
401(k) plan
Comprehensive health, dental, and vision coverage
Flexible work environment, including remote work options
A collaborative, innovative culture where your impact is visible
Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Product Management
Industries: Insurance
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr