Product Manager - Generative AI (Prompt)

ead the development of GenAI-powered experiences. You'll work across multiple product lines to design and implement production-grade prompt architectures, embed AI agents into the user journey, and scale experimentation with cutting-edge LLM tools.

Product Team Member - Prompt Engineer

This role blends hands-on AI development with product integration strategy. You'll collaborate with product managers and engineers to design, evaluate, and iterate on generative AI solutions - including multi-step prompt chains, agent workflows, and LLM selection frameworks. Your work will shape how personalization evolves across the Dynamic Yield platform.

All About the Role

Bring experience delivering products in SaaS startups or enterprise environments, with a deep understanding of market dynamics, customer needs, and the competitive landscape.

Design and refine context and prompt architectures (e.g., few-shot, chain-of-thought, tool use) that drive our LLM-powered features

Select and evaluate models, frameworks, and orchestration tools (e.g., OpenAI, Claude, LangChain, RAG)

As part of the product team you will collaborate cross-functionally with developers, UX, BI, and Product Marketing to ensure product success across the board

Collaborate with engineers to implement scalable agent-based workflows and integrate GenAI into the product

Partner with Product Managers to define user-facing use cases and influence product direction with AI capabilities

Develop internal tooling and evaluation frameworks to test prompt quality, model behavior, and UX alignment

Act as a thought leader on prompt best practices, model safety, and responsible AI design across product squads

All About You

Must-Have Qualifications

2+ years of hands-on product experience with LLM-based products, including prompt design or AI agents design.

Experience with GenAI product interfaces (e.g., chatbots, content editors, agents)

Proven ability to POC - design and iterate on prompts for models like GPT-4, Claude, or LLaMA, including few-shot and CoT techniques

Familiarity with Python and prompt-engineering libraries or platforms (e.g., LangChain, LlamaIndex, vector DBs), RAG pipelines, model fine-tuning, and multi-agent orchestration

Comfortable working closely with AI engineers and UX designers to bring AI features to production

Excellent communication skills, with the ability to explain complex AI concepts to technical and non-technical stakeholders

Nice-to-Have Experience

Understanding of NLP, ML, or data science fundamentals - especially around generation, embeddings, and evaluation

Familiarity with experimentation platforms (e.g., A/B testing) and personalization frameworks

Why Join Us

Work at the intersection of product, AI, and personalization-on a platform serving 400+ brands worldwide

Be the first prompt specialist at Dynamic Yield and shape how GenAI is implemented across the product stack

Collaborate with top-tier product managers, engineers, and designers in a highly agile, creative environment

Access Mastercard's internal GenAI communities, resources, and research network

Internal Job Title | Senior Specialist, Product Management

#AI

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.