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Product Manager - Bangalore, India - Avaamo
1 day ago
Description
Job Description :
Your responsibilities will be end-to-end, from understanding the evolving conversational AI landscape, interacting with customers, capturing customer requirements, managing the long-term roadmap and short-term product releases, and ultimately taking responsibility for successfully being market-aware and driving customer-oriented requirements.
Define and drive Avaamo's product strategy based on the conversational AI landscape, competitive analysis, and customer needs.
Lead product definition, requirements analysis, documentation of requirements, and product positioning.
Work closely with leadership and development and design teams to develop and maintain a product roadmap.
Validate product direction by interacting with customers and internal stakeholders.
Produce product collateral and messaging, and partner with sales and marketing to accelerate go-to-market.
Constantly evangelize the conversational AI vision, roadmap plans, and product decisions to customers, partners, and stakeholders are aligned and have context.
Requirements :
3+ years of product experience in enterprise software.
Deep understanding of the needs of enterprise buyers and solid knowledge of conversational AI protocols, Machine learning, and Data Science.
Experience with Contact Center products, and Voice products.
Proven experience with the full lifecycle of product releases, from planning, gathering requirements, and prioritization to working with development for building the product, and training sales.
Amazing communication skills to effectively evangelize the product and technology to both internal and external audiences.
Strong analytical mindset and a data-driven approach to solving complex business problems.
Collaboration and consensus-building skills.
Understanding of user-centered design principles such as journey mapping, persona identification, pain statements, and user experience.
Good grasp and understanding of business applications and their APIs, middleware, and integration.
Background in machine learning and data mining with a broad understanding of unsupervised and supervised learning methods is a plus.
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