AI Product Senior Associate - GenAI & Agentic Capabilities

American Express
New York
Full timeUSD 89,250 - 150,250 annuallyFunction: Data Science & Machine LearningExperience: 1+ yearsEducation: bachelorsSkills: ["Communication","Stakeholder management","Structured thinking","Product experimentation","Collaboration"]

Lead the strategy and end-to-end customer experience for AI-driven interactions, translating customer needs, business priorities, and generative/agentic AI capabilities into safe, scalable products. Drive roadmap execution from concept through launch, partnering with engineering, data science, design, legal, risk, and business stakeholders. Run experimentation and continuous improvement using product analytics, model evaluation, and user feedback, and shape LLM feature design, prompt/context design, and workflow integration for regulated environments.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
American Express
American Express
4 days ago

AI Product Senior Associate - GenAI & Agentic Capabilities

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead the strategy and end-to-end customer experience for AI-driven interactions, translating customer needs, business priorities, and generative/agentic AI capabilities into safe, scalable products. Drive roadmap execution from concept through launch, partnering with engineering, data science, design, legal, risk, and business stakeholders. Run experimentation and continuous improvement using product analytics, model evaluation, and user feedback, and shape LLM feature design, prompt/context design, and workflow integration for regulated environments.
Location: New York
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and execute the roadmap for AI-powered customer experiences, balancing long-term vision with near-term business priorities.
  • •Lead product delivery from concept through launch and iteration with cross-functional partners including engineering, data science, design, legal, risk, and business stakeholders.
  • •Drive experimentation, measurement, and continuous improvement using product analytics, model evaluation, and user feedback.
  • •Partner with engineering to design and deploy LLM-based features and agent workflows with high-quality, accurate, and scalable outcomes.
  • •Use data to inform decisions across model selection, prompt and context design, evaluation methods, and workflow/tool integration.

Pay and Benefits

Salary: USD 89,250 - 150,250 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsPaid Parental401kFinancial CoachingCounseling SupportHybrid Work

Key Requirements

  • •Bachelor’s degree in Computer Science, Data Science, Engineering, Business, Analytics, or a related field.
  • •1+ years of product management, tech consulting, or a related field with clear ownership of digital product outcomes.
  • •Strong understanding of modern AI product design patterns, including LLM-based experiences, retrieval systems, agentic tool use, and evaluation.
  • •Ability to work credibly with technical teams in an Agile environment while keeping customer value and business impact central.
  • •Strong written and verbal communication, structured thinking, stakeholder management, and a passion for AI and product experimentation.
Experience:1+ years
Education:Bachelor's
Skills:CommunicationStakeholder managementStructured thinkingProduct experimentationCollaboration
Tech Stack:AIGenAIAgentic AILLMRetrieval systemsAgileProduct analyticsPrompt engineeringModel evaluationLangGraph

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn