Senior AI Product Manager - Strategy, Prototyping & Scale

Blink UX; San Diego (CA); On-site; USD 145,000 - 185,000; Full time

Job summary

Blink UX is seeking a Senior Technical Product Manager to define, build, and scale AI-powered products, tools, workflows, and decision-support systems. You will translate business challenges into a portfolio of high-value AI initiatives, ranging from rapid experiments to transformational platforms.

Ideal candidates combine strategic thinking with hands-on technical execution, building prototypes, evaluating AI technologies, and guiding solutions from concept through deployment and adoption.

Qualifications

• Bachelor’s degree in CS, Eng, IS, PM, or related field.
• 5+ years in product management, software eng, or technical PM.
• 2+ years delivering AI-powered products or automation solutions.
• Hands-on AI experience: LLM APIs, multimodal models, agent frameworks, prompt engineering.
• Strong PM fundamentals: discovery, roadmap, experiments, outcomes.
• Excellent communication and stakeholder management.
• Thrives in ambiguous, fast-changing tech environments.

Responsibilities

• Own AI product roadmap from concept to production.
• Identify workflow inefficiencies and AI opportunities.
• Define requirements, success metrics, adoption goals.
• Lead discovery, prototyping, pilots, and deployment.
• Collaborate with engineering and external vendors.

Skills

Product management

Software engineering

Technical program mgmt

AI technologies

Communication

Ambiguity handling

Education

Bachelor’s degree in CS/Eng/IS/PM or related field

Master’s degree in CS/Eng/AI/Data Science

Tools

LLM APIs

Python

LangChain

Orchestration tools

Job description

Blink UX is seeking a Senior Technical Product Manager to define, build, and scale AI-powered products, tools, workflows, and decision-support systems. You will translate business challenges into a portfolio of high-value AI initiatives, ranging from rapid experiments to transformational platforms.

Ideal candidates combine strategic thinking with hands-on technical execution, building prototypes, evaluating AI technologies, and guiding solutions from concept through deployment and adoption.