Product Manager

Responsibilities:

• Define and drive the product vision, strategy, roadmap, and execution plan for data, ML, and AI products.
• Lead the development of AI-first and agentic AI capabilities across enterprise SaaS applications.
• Evaluate and make strategic decisions around LLMs, GenAI frameworks, AI agents, predictive models, and AI infrastructure.
• Translate customer and business problems into clear product requirements, PRDs, technical specifications, and product narratives.
• Partner closely with Data Engineering, ML Engineering, Data Science, and Software Engineering teams to build and scale AI solutions.
• Drive the development of analytics and data capabilities that enable data-driven product and business decisions.
• Re-imagine end-to-end user experiences by leveraging AI, automation, intelligent recommendations, and conversational interfaces.
• Work cross-functionally with product design, engineering, product management, sales, marketing, and GTM teams to launch new capabilities.
• Identify opportunities for AI adoption across the organization and evaluate AI startups, technology partners, cloud vendors, and data providers.
• Lead POCs and experimentation to evaluate emerging AI technologies and determine their product-market applicability.
• Stay current with advancements in generative AI, agentic AI, LLMs, predictive AI, ML platforms, and enterprise AI infrastructure.
• Drive product adoption, measure business impact, and continuously improve AI-powered products based on customer feedback and product analytics.
• Manage and mentor product managers/product teams while driving a culture of ownership, experimentation, and innovation.

Requirements:

• 10+ years of overall product management experience in B2B, B2C, or B2B2C environments.
• 4+ years of experience in AI/ML-focused product management.
• Proven experience working with data engineering, machine learning engineering, and data science teams.
• Strong experience building and launching AI-powered enterprise SaaS products at scale.
• Strong understanding of LLMs, generative AI, agentic AI, predictive AI, and AI/ML product development.
• Strong understanding of product discovery, roadmap development, prioritization, experimentation, and product analytics.
• Proven ability to lead complex, cross-functional product initiatives involving multiple engineering and business teams.
• Experience building teams, mentoring product talent, and driving organizational growth.
• Strong technical acumen with the ability to collaborate effectively with engineering and data teams.

Preferred Skills:

• Bachelor's/Master's degree in computer science, machine learning, statistics, engineering, or a related technical field.
• Experience with AI/ML platforms and technologies such as AWS SageMaker, Azure ML, Google Vertex AI, Databricks, Kubeflow, Pinecone, LangChain, or similar tools.
• Experience building LLM-based applications, AI agents, RAG systems, or AI-powered customer engagement solutions.
• Strong understanding of cloud-based AI infrastructure and modern data pipelines.
• Experience in automotive, mobility, supply chain, enterprise SaaS, or other complex vertical domains.
• Experience managing technically complex programs spanning multiple product and engineering teams.
• Strong strategic thinking, product sense, communication, and stakeholder management skills.
• High degree of ownership, autonomy, and ability to operate in a fast-paced, high-growth environment.