Trust In SODA
About the Role
They are looking for a customer-facing Agent Product Manager to join their growing team. In this role, 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 our solutions deliver real business value. What You’ll Do
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 their 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 our AI Customer Success Managers. What They Are Looking For
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 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
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They are looking for a customer-facing Agent Product Manager to join their growing team. In this role, 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 our solutions deliver real business value. What You’ll Do
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 their 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 our AI Customer Success Managers. What They Are Looking For
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 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
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