Job Description
We are seeking a Vice President of Product Development to lead the design and delivery of CINDE-powered agentic AI applications that will define the future of enterprise intelligence. This role will own the product architecture, roadmap, and platform evolution for CINDE-based multi-agent ecosystems, AI assistants, and knowledge graph-driven insights across SymphonyAI’s next-generation solutions for Retail/CPGs.
The ideal candidate will combine deep hands-on product leadership with experience in ontology-driven architectures, AI agents, and intelligent assistants, while scaling cross-functional teams to build market-leading enterprise AI products.
Key Responsibilities
Product Development Leadership for CINDE Agentic AI Applications
- Define and lead the end-to-end product development strategy for CINDE agentic AI applications.
- Drive the roadmap for multi-agent orchestration, personalized assistants, and autonomous decision-making workflows powered by CINDE.
- Collaborate with executive leadership, engineering, and data science to align the product vision with business and customer needs.
- Lead the design of agentic AI architectures within the CINDE platform to enable autonomous, persona-driven agents.
- Build a scalable multi-agent framework capable of reasoning, planning, and executing tasks in dynamic enterprise environments.
- Integrate CINDE’s knowledge graph, ontologies, and semantic reasoning engines to deliver context-aware, personalized experiences.
- Develop AI-powered assistants for predictive insights, natural language interactions, and contextual decision support.
- Build knowledge graph-driven systems that unify enterprise data to provide adaptive, agentic AI experiences.
- Partner with design teams to create human-in-the-loop interfaces that enhance explainability and trust in AI outputs.
- Own the productization of advanced GenAI capabilities into real-world enterprise workflows.
- Collaborate closely with R&D on agent behavior modeling, AI orchestration, and contextual knowledge retrieval.
Qualifications
Required
- 12+ years of product and technology leadership experience with a track record of building AI-first enterprise platforms.
- Proven ability to scale engineering teams from startup to enterprise across geographies
- Expertise in AI/ML, multi-agent architectures, intelligent assistants, and knowledge graph-powered products.
- Deep hands-on understanding of ontology design, semantic data modeling, and graph-driven decision systems.
- Exceptional leadership and stakeholder management skills, with the ability to bridge business, product, and engineering priorities.
- Experience integrating GenAI capabilities into SaaS and platform products. #LI-KV1 #LI-Remote