Minnesota Staffing
Product Manager - Conversational AI Platform
Minnesota Staffing, Saint Paul, Minnesota, United States, 55130
Product Manager - Conversational AI Platform
Join us in revolutionizing enterprise customer service with our cutting-edge conversational AI platform that puts voice-first experiences at the center of customer automation. We're seeking a product manager who thrives in complex, technical environments and has a passion for AI-powered solutions. As our product manager, you'll be the strategic driver behind a sophisticated platform that combines advanced natural language understanding with seamless omnichannel deployment. You'll shape how enterprises deliver human-like customer experiences at scale, working at the intersection of AI innovation and real business impact. What you'll do: Strategic Product Leadership
Shape the vision: Define and communicate the product strategy and roadmap for our conversational AI platform. Drive market intelligence: Conduct competitive analysis and market research to identify opportunities and inform strategic decisions. Prioritize ruthlessly: Balance customer impact, business value, and technical feasibility to make data-driven product decisions. Align stakeholders: Partner with leadership to ensure product strategy drives business objectives. Multi-Team Orchestration
You'll coordinate product development across four specialized engineering teams, each with distinct technical domains: Orchestration team: Conversation flow engine, session management, and multi-intent handling Integration team: API connectors, webhooks, and enterprise system integrations (CRM, CCaaS platforms) Reporting team: Real-time analytics, customer dashboards, and system observability Channel gateway team: Voice, webchat, SMS, and emerging channel development Your role involves managing complex interdependencies, synchronizing releases, and ensuring cohesive platform evolution across all teams. Customer-Centric Product Development
Deep customer engagement: Conduct customer interviews, advisory sessions, and feedback analysis to uncover real business problems. Requirements translation: Convert customer pain points into detailed PRDs, user stories, and technical specifications. Validation & iteration: Work with customer success to understand adoption patterns and validate product-market fit. Cross-functional collaboration: Partner with sales, marketing, design, and customer success on go-to-market execution. Execution Excellence
Agile coordination: Manage multiple JIRA boards while orchestrating feature releases across interdependent teams. Metrics-driven: Track adoption, usage, and satisfaction metrics to inform product decisions. Quality assurance: Lead user acceptance testing and coordinate platform releases. Technical debt management: Balance new feature development with platform stability and scalability. What you bring: Core Experience (Must-Haves)
2-4 years product management experience with SaaS platforms, preferably in AI/ML or customer service technology. Enterprise software background: Experience with complex B2B sales cycles and multi-stakeholder deployments. Multi-team leadership: Proven track record managing product development across specialized engineering teams. Technical depth: Strong understanding of APIs, integrations, and platform architecture. Agile expertise: Experience with Scrum methodologies and managing multiple development streams. Technical Knowledge
Conversational AI understanding: Familiarity with NLP, voice technologies, and AI/ML product development. Integration experience: Knowledge of API design, system integrations, and enterprise software architectures. Platform thinking: Understanding of cloud infrastructure, scalability, and reliability considerations. Telephony knowledge (preferred): Experience with SIP protocols, contact center technologies, or voice systems. Leadership Skills
Influence without authority: Ability to drive alignment and execution across independent engineering teams. Conflict resolution: Experience managing competing priorities and resource constraints. Strategic communication: Skill in translating technical complexity into clear business value. Risk management: Proactive identification and mitigation of delivery risks across team dependencies. Ideal background: Product management experience with conversational AI, chatbot platforms, or voice technology. Contact center, customer service software, or telephony industry experience. Enterprise AI/ML products with focus on compliance, reliability, and scale. Track record of successful product launches in complex technical environments. Why this role is unique: High impact: Shape the future of enterprise customer service automation. Technical challenge: Work with cutting-edge AI while solving complex integration problems. Cross-team leadership: Develop skills in orchestrating multiple specialized engineering teams. Market timing: Join during a pivotal moment in conversational AI adoption. Customer focus: Direct interaction with enterprise customers solving real business problems. Ready to drive the next generation of conversational AI? We're looking for a product leader who can navigate technical complexity while maintaining focus on customer value and business impact.
Join us in revolutionizing enterprise customer service with our cutting-edge conversational AI platform that puts voice-first experiences at the center of customer automation. We're seeking a product manager who thrives in complex, technical environments and has a passion for AI-powered solutions. As our product manager, you'll be the strategic driver behind a sophisticated platform that combines advanced natural language understanding with seamless omnichannel deployment. You'll shape how enterprises deliver human-like customer experiences at scale, working at the intersection of AI innovation and real business impact. What you'll do: Strategic Product Leadership
Shape the vision: Define and communicate the product strategy and roadmap for our conversational AI platform. Drive market intelligence: Conduct competitive analysis and market research to identify opportunities and inform strategic decisions. Prioritize ruthlessly: Balance customer impact, business value, and technical feasibility to make data-driven product decisions. Align stakeholders: Partner with leadership to ensure product strategy drives business objectives. Multi-Team Orchestration
You'll coordinate product development across four specialized engineering teams, each with distinct technical domains: Orchestration team: Conversation flow engine, session management, and multi-intent handling Integration team: API connectors, webhooks, and enterprise system integrations (CRM, CCaaS platforms) Reporting team: Real-time analytics, customer dashboards, and system observability Channel gateway team: Voice, webchat, SMS, and emerging channel development Your role involves managing complex interdependencies, synchronizing releases, and ensuring cohesive platform evolution across all teams. Customer-Centric Product Development
Deep customer engagement: Conduct customer interviews, advisory sessions, and feedback analysis to uncover real business problems. Requirements translation: Convert customer pain points into detailed PRDs, user stories, and technical specifications. Validation & iteration: Work with customer success to understand adoption patterns and validate product-market fit. Cross-functional collaboration: Partner with sales, marketing, design, and customer success on go-to-market execution. Execution Excellence
Agile coordination: Manage multiple JIRA boards while orchestrating feature releases across interdependent teams. Metrics-driven: Track adoption, usage, and satisfaction metrics to inform product decisions. Quality assurance: Lead user acceptance testing and coordinate platform releases. Technical debt management: Balance new feature development with platform stability and scalability. What you bring: Core Experience (Must-Haves)
2-4 years product management experience with SaaS platforms, preferably in AI/ML or customer service technology. Enterprise software background: Experience with complex B2B sales cycles and multi-stakeholder deployments. Multi-team leadership: Proven track record managing product development across specialized engineering teams. Technical depth: Strong understanding of APIs, integrations, and platform architecture. Agile expertise: Experience with Scrum methodologies and managing multiple development streams. Technical Knowledge
Conversational AI understanding: Familiarity with NLP, voice technologies, and AI/ML product development. Integration experience: Knowledge of API design, system integrations, and enterprise software architectures. Platform thinking: Understanding of cloud infrastructure, scalability, and reliability considerations. Telephony knowledge (preferred): Experience with SIP protocols, contact center technologies, or voice systems. Leadership Skills
Influence without authority: Ability to drive alignment and execution across independent engineering teams. Conflict resolution: Experience managing competing priorities and resource constraints. Strategic communication: Skill in translating technical complexity into clear business value. Risk management: Proactive identification and mitigation of delivery risks across team dependencies. Ideal background: Product management experience with conversational AI, chatbot platforms, or voice technology. Contact center, customer service software, or telephony industry experience. Enterprise AI/ML products with focus on compliance, reliability, and scale. Track record of successful product launches in complex technical environments. Why this role is unique: High impact: Shape the future of enterprise customer service automation. Technical challenge: Work with cutting-edge AI while solving complex integration problems. Cross-team leadership: Develop skills in orchestrating multiple specialized engineering teams. Market timing: Join during a pivotal moment in conversational AI adoption. Customer focus: Direct interaction with enterprise customers solving real business problems. Ready to drive the next generation of conversational AI? We're looking for a product leader who can navigate technical complexity while maintaining focus on customer value and business impact.