The Product Manager will lead the Conversational AI and Communications Platform at Mango Voice, managing product strategy, development, and cross-functional collaboration to enhance customer communication experiences.
Product Manager, Conversational AI & Communications Platform
Department: Engineering
Reports To: VP of Engineering
Mango Voice is a leading provider of cloud-based communication solutions, helping businesses of all sizes connect with their customers through innovative VoIP, SMS, and collaboration tools. We are rapidly expanding our partner ecosystem and are looking for a driven individual to manage the technical and operational aspects of these new alliances.
Mango Voice is searching for a highly technical and strategic Product Manager for the Conversational AI & Communications Platform to own the roadmap for our core Voice, Messaging, and AI capabilities. This pivotal role requires a product leader who can seamlessly integrate these technologies to create superior customer experiences, particularly in the healthcare domain.
You will be responsible for defining the future state of how patients connect with both human employees and AI agents. This includes ensuring all communication channels (Voice, SMS, MMS, WhatsApp) are intelligently routed and that both human and AI agents have the necessary context (e.g., patient information) to act effectively during the interaction.
Product Strategy & Vision (Voice, Messaging, and AI):
Define and champion the long-term vision and product strategy for the unified Conversational AI and Communications Platform, ensuring alignment with overall company goals and market trends.
Deeply understand the current and future needs of the market, our users (patients and office staff), and the competitive landscape, particularly concerning AI-powered communication flows.
Conversational Experience Design:
Own the complete flow of an interaction, whether it begins via voice call, text, or social messaging.
Design the logic and requirements for intelligent routing that decides whether an interaction is best handled by an internal employee or a dedicated AI agent.
Specify requirements for an agent-facing platform (human and AI) to securely access and utilize patient-specific information (contextual data) at the moment of interaction.
Drive the product development for AI capabilities, including natural language understanding (NLU), dialogue management, sentiment analysis, and seamless handoffs between AI and human agents.
Product Delivery & Execution:
Manage the full product lifecycle from ideation and requirements gathering to launch, adoption, and iteration.
Partner closely with the Engineering teams (Voice, Messaging, and AI) to prioritize the backlog, write clear and detailed user stories, define acceptance criteria, and manage the sprint process (Agile/Scrum).
Define and track key performance indicators (KPIs) for platform reliability, AI performance, user adoption, and customer satisfaction.
Cross-Functional Collaboration & Go-to-Market:
Work with UX/Design to create intuitive and effective interfaces for configuration and monitoring.
- Collaborate with Sales, Marketing, and Customer Success to define the platform's value proposition, create compelling product documentation, and ensure successful product launches and market adoption.
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 5+ years of experience in Product Management, with a minimum of 2 years directly managing products related to one or more of the following: Voice/Telephony (CPaaS/UCaaS), Messaging (SMS/MMS/WhatsApp), or Conversational AI/Chatbots.
- Strong technical acumen with the ability to engage deeply with Engineering on API design, platform architecture, and scalability challenges.
- Demonstrated experience defining and launching complex products that involve multi-channel communications and intelligent routing logic.
- Excellent communication skills with proven ability to influence cross-functional teams and present confidently to executive leadership.
- Prior experience in the Healthcare or Patient-Provider Communication space, understanding compliance and security requirements (e.g., HIPAA).
- Direct experience with Natural Language Processing (NLP) technologies and building out production-ready conversational agents.
- Experience integrating third-party data or CRM/PMS/EHR systems to provide contextual information to communication agents.
- Experience with the Shape Up framework or certification in an Agile framework (e.g., CSPO, PSPO).
Technical product manager who knows all three of VoIP/Telephony, SMS/MMS, and AI. I know that's a tall order
CompensationThe base pay range for this role is $140,000 – $180,000 per year.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Owns strategic post-sale relationships with major U.S. Federal customers, advising C-suite stakeholders on ServiceNow platform value, adoption, transformation, retention, and expansion. Leads complex multi-workstream programs, governance, risk mitigation, change management, and executive communications. Partners with Sales, Delivery, and Customer Success teams to identify services opportunities, resolve escalations, improve satisfaction, and prevent churn while mentoring internal teams and guiding responsible AI adoption.
Top Skills:
Artificial Intelligence (Ai)Customer Service ManagementIt GovernanceIt Service ManagementSdlcSecurity OperationsServicenow
.png)
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Sell connectivity, data solutions, and AI-powered risk digitization software to insurance carriers and MGA clients across Canada. Responsibilities include developing strategic account plans, acquiring new logos, expanding existing accounts, managing executive relationships, negotiating renewals, forecasting sales, gathering market feedback, and meeting or exceeding quotas. The role uses a consultative solution-selling methodology and involves virtual, telephone, onsite, and industry-event engagements.
Top Skills:
Ai-Powered Risk Digitization PlatformsCrm SystemsExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordSalesforceSlack
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Build and deploy end-to-end software and analytics products for engineering teams. Responsibilities include developing Python services, TypeScript/React interfaces, relational data models, data pipelines, APIs, and Databricks jobs. The role also involves collaborating with data scientists and stakeholders, deploying production systems on Kubernetes and Azure, maintaining CI/CD and infrastructure-as-code workflows, monitoring services, and contributing to testing, code reviews, documentation, and user-friendly product design.
Top Skills:
AzureCi/CdDatabricksDelta LakeFastapiGitopsInfrastructure As CodeJavaScriptKubernetesNext.JsPostgresPysparkPythonReactReact Server ComponentsSQLSqlalchemyTypescript
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
