Product Manager - Agentic AI
Indexed description
We are looking for a candidate who has a strong enterprise background, who has razor-sharp instincts about what makes a great enterprise product, and who has a passion to make an industry-wide impact by driving projects from concept through implementation to successful delivery
Responsibilities
- Your responsibilities will be end-to-end, from understanding the evolving agentic AI landscape, interacting with customers, capturing customer requirements, managing long-term 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 Agentic AI landscape, competitive analysis, and customer needs.
- Lead product definition, requirements analysis, documentation of requirements, and product positioning.
- Work closely with leadership, development, and design teams to develop and maintain a product.
- 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 evangelise the Agentic AI vision, plans, and product decisions so customers, partners, and stakeholders are aligned and have context.
- Bachelor's degree in computer science or a related field; a master's is preferred.
- 5+ years of product experience in enterprise software and at least 2 years of evangelising to the global 1000 customers.
- Deep understanding of the needs of enterprise buyers and a solid understanding of conversational AI protocols, machine learning, and data science.
- Understanding of user-centred 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.
- Collaborative, team-orientated, positive, and flexible attitude.
- Proven experience with the full lifecycle of product releases, from planning, gathering requirements, and prioritisation to working with development for building the product and training sales.
- Amazing communication skills to effectively evangelise the product and technology to both internal and external audiences.
- Strong analytical mindset and data-driven approach for solving complex business problems.
- Collaboration and consensus-building skills.
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