About the Role
Blink UX is seeking experienced Senior Technical Product Managers for potential upcoming engagements supporting clients building innovative AI-driven products and experiences. Opportunities may range from short-term engagements to extended embedded placements.
Responsibilities
- Define, build, and scale AI-powered products, tools, workflows, and decision-support systems.
- Identify opportunities where artificial intelligence can improve productivity, automate repetitive work, enhance decision making, and unlock new capabilities.
- Translate business challenges into a portfolio of high-value AI initiatives.
- Build prototypes, evaluate emerging AI technologies, test models and APIs, and guide solutions from concept through deployment and adoption.
- Own and drive the AI product roadmap from concept to production.
- Identify workflow inefficiencies, operational bottlenecks, and emerging opportunities where AI can deliver measurable improvements.
- Evaluate opportunities based on impact, feasibility, risk, and scalability.
- 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.
- 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 business outcomes.
- Partner with engineering teams and external vendors to scale successful prototypes into production-ready products and platforms.
- Assess build-versus-buy decisions and recommend the optimal approach for delivering strategic capabilities.
- Collaborate with stakeholders across product, engineering, design, operations, customer-facing teams, and business functions to identify and prioritize AI opportunities.
- Build alignment around objectives, roadmaps, priorities, and success measures.
- Translate complex technical concepts into clear business recommendations and execution plans.
- Create repeatable frameworks, playbooks, training materials, and best practices that drive adoption and organizational AI maturity.
- Support vendor evaluation, integration, and partnership strategies to accelerate innovation and capability development.
- Identify and manage risks related to AI adoption, including data quality, model accuracy, security, privacy, compliance, bias, and over-reliance on automation.
- Establish governance practices and appropriate safeguards to ensure responsible and effective deployment of AI solutions.
- Define and track key performance indicators across initiatives, including productivity gains, efficiency improvements, quality enhancements, cost savings, and business outcomes.
- Communicate progress, learnings, and portfolio impact to stakeholders and leadership.
Requirements
- 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.
Skills
- AI technologies
- LLM APIs
- multimodal models
- agent frameworks
- prompt engineering
- retrieval systems
- workflow automation platforms
- orchestration tools
- Product management fundamentals
- discovery
- prioritization
- roadmap planning
- experimentation
- outcome measurement
- AI Product Strategy
- Portfolio Management
- Machine learning
- Large language models (LLMs)
- Agent-based systems
- Multimodal AI
- Workflow automation technologies
- Python-based systems
- Responsible AI frameworks
- Model evaluation methodologies
- AI risk management
- Third-party AI products
- AI platforms
- Vendor solutions
Work Type
- full-time
- part-time
Experience Level
- Senior
- 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.
Education Level
- Bachelor's degree in Computer Science, Engineering, Information Systems, Product Management, or a related field
- Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related discipline.
Salary/Compensations
- $145,000 - $185,000 a year
About the Company
- Blink UX is a design consulting firm creating products that people use, love and remember.
- Blink has over two decades of experience in UX research, strategy, and design partnering with innovative industry leaders including Amazon, Chase, Gates Foundation, Google, Meta, and NASA.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sexual preference, gender identity or age, disability, or length of time spent unemployed.
- Following your application submission we encourage you to disclose personal demographic information in order to help us comply with federal and state Equal Employment Opportunity record-keeping requirements.
- We will also use this information in an anonymous aggregated form to help us measure and improve diversity at Blink.
