Forward Deployed AI Accelerator, Marketing

Hidden Jobs; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Stripe is seeking an applied AI engineer to accelerate marketing initiatives from a remote-first team across the United States and Canada.

You will surface high-value AI use cases, prototype solutions, and ship AI features that improve marketing outcomes, collaborating with engineers, data scientists, and marketers to translate business problems into technical requirements.

This hands-on role emphasizes cross-team collaboration, sharing reusable patterns, and delivering tangible impact at pace.

Qualifications

• Experience building and shipping AI or ML-powered products.
• Comfort operating in a forward-deployed, customer-facing mode.
• Collaborates across technical and non-technical stakeholders.

Responsibilities

• Embed with marketing stakeholders to surface high-value AI use cases and ship solutions.
• Build prototypes and production-ready AI features that improve marketing outcomes.
• Translate business problems into data, model, and integration requirements.
• Partner with engineers, data scientists, and marketers to operationalize AI work.
• Share learnings and reusable patterns that accelerate adoption across teams.

Skills

AI/ML product development

Forward-deployed engagement

Engineering fundamentals

Job description

Role overview

This role sits at the intersection of applied AI engineering and marketing, operating as a forward-deployed accelerator for AI initiatives. The position is remote and open to candidates in the United States and Canada, and involves working hands-on to identify, prototype, and ship AI-driven improvements to marketing workflows and programs.

Responsibilities

• Embed with marketing stakeholders to surface high-value AI use cases and ship solutions
• Build prototypes and production-ready AI features that improve marketing outcomes
• Translate business problems into data, model, and integration requirements
• Partner with engineers, data scientists, and marketers to operationalize AI work
• Share learnings and reusable patterns that accelerate adoption across teams

Requirements

• Experience building and shipping AI or machine-learning powered products
• Comfort operating in a forward-deployed, customer- or partner-facing mode
• Strong engineering fundamentals in at least one relevant language or framework
• Ability to collaborate across technical and non-technical stakeholders

Benefits and work setup

• Remote position open to candidates in the United States and Canada