Senior Product Manager (AI) - General Opportunity

At Blink, we’re continually partnering with organizations that are building innovative AI-driven products and experiences. If you’re interested in future opportunities with Blink, we’d love to hear from you. Apply today, and we’ll reach out when a role aligns with your background and expertise.

Blink UX is seeking experienced Senior Technical Product Managers, for potential upcoming engagements.

Opportunities may range from short-term engagements of 1-4 months to extended embedded placements of 6+ months supporting a single client. Most roles are full-time, though part-time opportunities may occasionally be available.

What We Are Looking For As a Senior Technical Product Manager, you will define, build, and scale AI-powered products, tools, workflows, and decision-support systems that drive measurable business impact.

A successful product manager will identify opportunities where artificial intelligence can improve productivity, automate repetitive work, enhance decision making, and unlock new capabilities across the organization. This role will be responsible for translating business challenges into a portfolio of high-value AI initiatives, ranging from rapid experiments and process improvements to transformational products and platforms.

This position goes beyond traditional product management. The ideal candidate combines strategic product thinking with hands-on technical execution, actively building prototypes, evaluating emerging AI technologies, testing models and APIs, and guiding successful solutions from concept through deployment and adoption.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Product Management, or a related field
• 5+ years of experience in product management, software engineering, or technical program management
• 2+ years of experience delivering AI-powered products, automation solutions, workflow improvements, or internal platforms from concept through deployment.
• Hands-on experience working with AI technologies such as LLM APIs, multimodal models, agent frameworks, prompt engineering, retrieval systems, workflow automation platforms, and orchestration tools.
• Strong understanding of product management fundamentals, including discovery, prioritization, roadmap planning, experimentation, and outcome measurement.
• Excellent communication, presentation, and stakeholder management skills.
• Ability to thrive in ambiguous, rapidly evolving technology environments.

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related discipline.
• Experience building AI workflows using platforms such as OpenAI, Anthropic, LangChain, LangGraph, Python-based systems, automation platforms, or similar technologies.
• Experience launching enterprise AI applications, copilots, agentic workflows, or intelligent automation solutions.
• Familiarity with responsible AI frameworks, model evaluation methodologies, governance practices, and AI risk management.
• Experience assessing and implementing third-party AI products, platforms, and vendor solutions.

What You’ll Be Doing AI Product Strategy & Portfolio Management

• Own and drive the AI product roadmap from concept to production, balancing experimentation, speed, scalability, and long-term business value.
• Identify workflow inefficiencies, operational bottlenecks, and emerging opportunities where AI can deliver measurable improvements.
• Evaluate opportunities based on impact, feasibility, risk, and scalability, creating a prioritized portfolio of initiatives.
• Define product requirements, success metrics, adoption goals, and implementation strategies for AI-powered products and solutions.
• Lead initiatives through discovery, prototyping, pilot programs, full-scale deployment, and continuous optimization.

Build, Experiment & Innovate

• Stay current with advancements in artificial intelligence, machine learning, large language models (LLMs), agent-based systems, multimodal AI, and workflow automation technologies.
• Develop prototypes, automations, internal tools, and proof-of-concepts to validate ideas and accelerate learning.
• Work hands-on with modern AI technologies, including LLM APIs, orchestration frameworks, agent platforms, evaluation systems, and automation tools.
• Rapidly test, measure, and iterate on solutions with a focus on delivering tangible bu…