+ **Product Strategy & Vision (AI/ML & Scale):** + Define and evangelize the product vision, strategy, and roadmap for our AI/ML platform, data pipelines, and scalable application infrastructure, aligning with overall company objectives. + Identify market opportunities, customer needs, and technical trends to drive innovation and competitive advantage in the AI/ML and large-scale data domain. + Translate complex technical challenges and opportunities into clear, actionable product requirements and specifications. + **Product Development & Execution Leadership:** + Oversee the entire product lifecycle from ideation and discovery through development, launch, and post-launch iteration for critical AI/ML and data products. + Work intimately with engineering, data science, and operations teams to ensure seamless execution and delivery of high-quality, performant, and scalable solutions. + Champion best practices for _productionizing applications at scale_ and ensuring our systems can _handle huge volumes of data_ efficiently and reliably. + Define KPIs and metrics for product success, monitoring performance and iterating based on data-driven insights. + **People Management & Team Leadership:** + Lead, mentor, coach, and grow a team of Technical Product Managers, fostering a culture of innovation, accountability, and continuous improvement. + Provide clear direction, set performance goals, conduct regular reviews, and support the professional development and career growth of your team members. + Act as a leader and role model, promoting collaboration, open communication, and a positive team environment. + **Technical Expertise & Hands-On Contribution:** + Possess a deep understanding of the end-to-end ML lifecycle (MLOps), from data ingestion and model training to deployment, monitoring, and continuous improvement. + Demonstrate strong proficiency in Google Cloud Platform (GCP) services, including but not limited to, compute, storage, networking, data processing (e.g., BigQuery, Dataflow, Dataproc), and AI/ML services (e.g., Vertex AI, Cloud AI Platform). + Maintain a **strong hands-on expertise level in Python programming** , capable of contributing to prototypes, proof-of-concepts, data analysis, or technical investigations as needed. + Extensive practical experience with leading AI frameworks and libraries, including **Hugging Face** for natural language processing and transformer models. + Proven experience with **LangGraph** (or similar sophisticated agentic frameworks like LangChain, LlamaIndex), understanding their architecture and application in building intelligent, multi-step AI systems. + Solid understanding of agentic frameworks, their design patterns, and how to productionize complex AI agents. + Excellent exposure to **GitHub** and modern **coding practices** , including version control, pull requests, code reviews, CI/CD pipelines, and writing clean, maintainable code. + **Cross-functional Collaboration & Stakeholder Management:** + Collaborate effectively with diverse stakeholders across engineering, data science, design, sales, marketing, and executive leadership to gather requirements, communicate progress, and align strategies. + Act as a bridge between technical teams and business stakeholders, translating complex technical concepts into understandable business implications and vice-versa. + **Technical Skills:** + Deep expertise in **Google Cloud Platform (GCP)** services for data, AI/ML, and scalable infrastructure. + **Expert-level hands-on Python programming skills** (e.g., for data manipulation, scripting, API interaction, ML prototyping, productionizing) + Strong working knowledge of **Hugging Face** libraries and ecosystem. + Direct experience with **LangGraph** and/or other advanced **agentic frameworks** (e.g., LangChain, LlamaIndex) for building intelligent systems. + Solid understanding of software development lifecycle, **GitHub** , Git workflows, and modern coding practices (CI/CD, testing, code quality). + **Education:** Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. + **Experience:** + 8+ years of progressive experience in technical product management roles, with a significant portion focused on AI/ML, data platforms, or highly scalable systems. + 3+ years of direct people management experience, leading and mentoring a team of product managers or technical leads. + Demonstrable track record of successfully bringing complex technical products from concept to production at scale. + Proven ability to manage products that handle massive volumes of data and require high throughput. + Extensive practical experience with AI/ML model deployment and MLOps best practices in a production environment. + **Leadership & Soft Skills:** + Exceptional leadership, communication, and interpersonal skills, with the ability to inspire and motivate a team. + Strong analytical and problem-solving abilities, with a data-driven approach to decision-making. + Ability to thrive in a fast-paced, ambiguous, and rapidly evolving technical environment. + Excellent ability to articulate complex technical concepts to both technical and non-technical audiences. **Requisition ID** : 47793