Technical AI Product Manager

The ideal candidate is a highly technical product leader who understands AI/ML concepts, can work effectively with engineering and data teams, and has a strong track record of translating complex technical capabilities into compelling products and measurable business outcomes. This role sits at the intersection of product management, technology, data, and artificial intelligence, partnering closely with engineering, data science, ML/AI teams, and business stakeholders to turn emerging AI technologies into scalable, high-impact products.

The rate is $90 to $100 per hour

We are seeking a Technical AI Product Manager to lead the strategy, development, and delivery of AI-powered products and capabilities. This role sits at the intersection of product management, technology, data, and artificial intelligence, partnering closely with engineering, data science, ML/AI teams, and business stakeholders to turn emerging AI technologies into scalable, high-impact products.

The ideal candidate is a highly technical product leader who understands AI/ML concepts, can work effectively with engineering and data teams, and has a strong track record of translating complex technical capabilities into compelling products and measurable business outcomes.

Key Responsibilities

• Define and own the product vision, strategy, and roadmap for AI-powered products and platforms.
• Identify opportunities to leverage generative AI, machine learning, LLMs, NLP, and intelligent automation to solve meaningful customer and business problems.
• Partner closely with engineering, data science, ML, and UX teams to take AI products from concept through development, launch, and ongoing optimization.
• Translate business requirements and customer needs into clear product requirements, user stories, and technical specifications.
• Develop product roadmaps and prioritize initiatives based on customer value, business impact, technical feasibility, and risk.
• Work with engineering and AI teams to evaluate models, architectures, APIs, data pipelines, and emerging AI technologies.
• Define success metrics and KPIs and use data and experimentation to continuously improve product performance.
• Lead development of AI product capabilities including LLM-powered applications, AI agents, recommendation systems, predictive models, automation, and intelligent workflows.
• Establish requirements around AI quality, accuracy, reliability, scalability, security, privacy, and responsible AI.
• Collaborate with stakeholders across technology and business teams to drive alignment and successful product adoption.
• Stay current on advances in AI/ML and assess new technologies, models, vendors, and platforms for potential product applications.

Required Qualifications

• 5+ years of product management experience, with significant experience working on technical products, AI/ML products, data platforms, or software platforms.
• Strong understanding of AI/ML concepts and technologies, including LLMs, generative AI, machine learning, NLP, embeddings, RAG, AI agents, and model evaluation.
• Experience working directly with engineering and data science/ML teams.
• Ability to understand technical architecture and have credible conversations with engineers and technical leaders.
• Experience defining product strategy, roadmaps, requirements, and success metrics.
• Strong analytical and problem-solving skills with the ability to make data-driven product decisions.
• Excellent communication and stakeholder-management skills.
• Ability to operate effectively in a fast-paced environment with ambiguity and rapidly evolving technology.

Preferred Qualifications

• Experience launching generative AI or LLM-based products into production.
• Experience with AI agents, RAG architectures, prompt engineering, model evaluation, or AI orchestration.
• Technical background in software engineering, computer science, data science, or a related field.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with APIs, microservices, data pipelines, MLOps, and modern AI/ML infrastructure.
• Experience working with enterprise AI, SaaS, or B2B products.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline.