KEY RESPONSIBILITIES1. AIML PLATFORM AND CONTENT AUTOMATION STRATEGY & VISION:- Define and drive WW Sales LLM and Content Automation platform aligned with business needs.- Collaborate with cross-functional teams to understand business needs customer struggles and industry trends to shape a compelling product vision.- Translate business goals into technical requirements driving the AIML Sales architecture needed to deliver scalable ground breaking AI/ML solutions.2. MODULAR AIML SALES KITS:- Develop Sales AIML platform that is extensible and reusable ensuring AI capabilities are composable secure and easy to adopt via APIs SDKs and service integrations. - Build reusable plug-and-play AI components (e.g. summarization classification retrieval)- Design secure APIs SDKs and orchestration tools for integration into internal workflows.- Identify and coordinate reuse of internal models; prevent duplication across teams.- Works with other teams to integrate AI kits into existing tools and pipelines.3. CONTENT AUTOMATION PLATFORM:- Build tools that help internal content authors use LLMs for speed and consistency.- Manage workflows across taxonomy DAM localization and publishing.- Enable content delivery through APIs SDKs and plug-ins to partner systems.- Owns platform architecture and scaling of content storage tagging and workflow systems.- Supports external partner teams integrating AI-powered content into their portals or eComm tools.4. SCALABILITY & INNOVATION:- Stay on the cutting edge of AI/ML technologies incorporating standard processes and innovations to continuously improve product offerings.- Build partnerships with external technology vendors and AI research institutions to stay ahead of trends and foster collaboration.5. METRICS & PERFORMANCE:- Establish and monitor product success metrics (adoption engagement revenue impact) and use data-driven insights to drive continuous product improvement.- Manage and prioritize the product backlog working with engineering teams to ensure timely delivery of high-impact features.
- Experience: 10 years of experience in product management business or market development. Experience building AI/ML-focused product solutions is preferred. Proven track record in building and scaling AI/ML solutions preferably in sales chatbot domains. Consulting experience preferred
- Technical Expertise: In-depth knowledge of AI/ML models data pipelines cloud technologies and product architecture. Experience with NLP machine learning content management systems content authoring digital asset management and workflow tools.
- Domain Knowledge: Experience in AIML models infrastructure and technology with a deep understanding of how AI can enhance content creation and automation.
- Bachelors degree or equivalent experience in Computer Science Data Science.
- - Collaboration: Strong cross-functional collaborator with excellent communication skills to influence key partners and drive alignment across teams.
- - Problem Solving: Ability to translate complex business problems into actionable AI/ML-driven product solutions.
- - Agility: Experience working in Agile environments with a focus on iterative product development and rapid experimentation.
- - Masters degree or PhD in AI/ML is a strong plus.
KEY RESPONSIBILITIES1. AIML PLATFORM AND CONTENT AUTOMATION STRATEGY & VISION:- Define and drive WW Sales LLM and Content Automation platform aligned with business needs.- Collaborate with cross-functional teams to understand business needs customer struggles and industry trends to shape a compell...
KEY RESPONSIBILITIES1. AIML PLATFORM AND CONTENT AUTOMATION STRATEGY & VISION:- Define and drive WW Sales LLM and Content Automation platform aligned with business needs.- Collaborate with cross-functional teams to understand business needs customer struggles and industry trends to shape a compelling product vision.- Translate business goals into technical requirements driving the AIML Sales architecture needed to deliver scalable ground breaking AI/ML solutions.2. MODULAR AIML SALES KITS:- Develop Sales AIML platform that is extensible and reusable ensuring AI capabilities are composable secure and easy to adopt via APIs SDKs and service integrations. - Build reusable plug-and-play AI components (e.g. summarization classification retrieval)- Design secure APIs SDKs and orchestration tools for integration into internal workflows.- Identify and coordinate reuse of internal models; prevent duplication across teams.- Works with other teams to integrate AI kits into existing tools and pipelines.3. CONTENT AUTOMATION PLATFORM:- Build tools that help internal content authors use LLMs for speed and consistency.- Manage workflows across taxonomy DAM localization and publishing.- Enable content delivery through APIs SDKs and plug-ins to partner systems.- Owns platform architecture and scaling of content storage tagging and workflow systems.- Supports external partner teams integrating AI-powered content into their portals or eComm tools.4. SCALABILITY & INNOVATION:- Stay on the cutting edge of AI/ML technologies incorporating standard processes and innovations to continuously improve product offerings.- Build partnerships with external technology vendors and AI research institutions to stay ahead of trends and foster collaboration.5. METRICS & PERFORMANCE:- Establish and monitor product success metrics (adoption engagement revenue impact) and use data-driven insights to drive continuous product improvement.- Manage and prioritize the product backlog working with engineering teams to ensure timely delivery of high-impact features.
- Experience: 10 years of experience in product management business or market development. Experience building AI/ML-focused product solutions is preferred. Proven track record in building and scaling AI/ML solutions preferably in sales chatbot domains. Consulting experience preferred
- Technical Expertise: In-depth knowledge of AI/ML models data pipelines cloud technologies and product architecture. Experience with NLP machine learning content management systems content authoring digital asset management and workflow tools.
- Domain Knowledge: Experience in AIML models infrastructure and technology with a deep understanding of how AI can enhance content creation and automation.
- Bachelors degree or equivalent experience in Computer Science Data Science.
- - Collaboration: Strong cross-functional collaborator with excellent communication skills to influence key partners and drive alignment across teams.
- - Problem Solving: Ability to translate complex business problems into actionable AI/ML-driven product solutions.
- - Agility: Experience working in Agile environments with a focus on iterative product development and rapid experimentation.
- - Masters degree or PhD in AI/ML is a strong plus.
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