Senior Associate – Digital Product Manager – Conversational AI & Chatbot Innovation (Remote) – Worknovaq

Full–time

Posted on: 5 days ago

--- ```html About Nexspire – Pioneering the Future of Digital Customer Experiences At Worklio , we are on a mission to transform the way consumers interact with financial services through cutting‑edge artificial intelligence. Our Talk Abilities group spearheads the development of conversational AI platforms that deliver hyper‑personalized experiences to millions of cardmembers worldwide. By blending advanced machine learning, natural language processing, and a deep understanding of user behavior, we create seamless, intuitive, and secure digital touchpoints that set new standards in the industry. We believe that great technology starts with great people. Our culture celebrates curiosity, collaboration, and a relentless drive to innovate. Whether you thrive in a fully remote setting, a hybrid office environment, or an on‑site collaboration hub, Hirefluxa offers the flexibility and support you need to excel. Role Overview – Partner Product Manager, Conversational AI We are seeking a dynamic and seasoned Senior Associate – Digital Product Manager to join our AI Development team. This individual will be a pivotal bridge between product, engineering, data science, and business partners, driving the roadmap, design, and launch of next‑generation chat‑bot capabilities. The role is fully remote, offering you the freedom to work from anywhere in the United States while staying connected to a global network of innovators. Key Responsibilities Strategic Vision & Roadmap: Lead the creation, prioritization, and communication of a multi‑year product strategy for conversational AI, aligning with Taskora’s broader digital transformation goals. Opportunity Identification: Conduct market research, competitive analysis, and customer journey mapping to uncover opportunities that enhance the cardmember experience. Data‑Driven Decision Making: Leverage user analytics, conversational research, and industry trends to evaluate existing features and define future enhancements. Cross‑Functional Collaboration: Partner with engineers, data scientists, UX designers, and business stakeholders across the value chain to translate ideas into scalable, high‑impact solutions. Requirement Definition & Storytelling: Craft clear, concise product requirements, user stories, and acceptance criteria that reflect real‑world use cases and business objectives. Testing & Validation: Lead user testing, A/B experiments, and post‑launch performance monitoring to ensure features meet quality standards and deliver measurable value. Metrics & Reporting: Develop and track key performance indicators (KPIs) such as engagement rates, resolution time, and satisfaction scores to inform continuous improvement. Product Documentation: Maintain an up‑to‑date product backlog, feature documentation, and knowledge base for internal teams and external partners. Innovation Advocacy: Stay ahead of emerging AI trends, voice‑assistants, and industry best practices, championing innovative ideas within Gigentra. Customer‑Centric Mindset: Ensure every product decision centers on delivering a frictionless, secure, and delightful experience for the end‑user. Essential Qualifications Education: Bachelor’s degree in Business, Computer Science, Software Engineering, Data Science, or a related discipline. Advanced degrees are a plus. Experience: Minimum 4‑6 years of product management experience, ideally within AI/ML, chatbot, or digital financial services. Analytical Skills: Proven ability to translate complex data sets into actionable product insights. Communication: Exceptional written and verbal communication skills; ability to convey technical concepts to non‑technical audiences with clarity. Leadership: Demonstrated self‑starter attitude with a track record of leading cross‑functional initiatives from concept to launch. Customer Obsessed: Passion for developing products that delight users and solve real‑world problems. Preferred Qualifications & Desirable Experience Hands‑on experience with natural language processing (NLP) frameworks such as Dialogflow, Amazon Lex, or Microsoft Bot Framework. Familiarity with agile methodologies (Scrum, Kanban) and product development tools (JIRA, Confluence, Aha!). Background in financial services, payments, or fintech ecosystems. Experience guiding AI ethics, data privacy, and compliance initiatives. Track record of launching features that achieved measurable improvements in customer satisfaction (e.g., NPS, CSAT). Core Skills & Competencies for Success Strategic Thinking: Ability to see the big picture while drilling down into details. Problem Solving: Creative, data‑driven approach to tackling ambiguous challenges. Collaboration: Comfortable building strong relationships across technical and business domains. Adaptability: Thrive in a fast‑moving environment where priorities shift frequently. Customer Empathy: Deep understanding of user journeys, pain points, and motivations. Technical Literacy: Comfortable discussing APIs, integration laye