At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We’re looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years and we believe the best is yet to come.

The Marketing Software and AI Marketing Engineer will serve as the technical architect and builder for an evolution in Martech and Marketing Operations, with a focus on AI transformation. This is a hands-on role ideal for a full-stack software engineer experienced with AI agents and APIs. You will build, deploy, and maintain the tools that power AI-assisted marketing workflows, from LLM-based agents to Martech automation.

Using your software engineer foundation with an experimental mindset, you’ll work closely with both internal and external stakeholders, and Hasbro’s global marketing, IT, and governance teams to bring real-world use cases to life. This includes both net-new development and the systems needed to support scale: instrumentation, QA, compliance, and version control.

Key Responsibilities

Build and deploy automated agents for marketing use cases (content generation, copy assistance, personalization, automation)
Develop and maintain prompt chains, context profiles, and secure API wrappers
Integrate with Hasbro’s Martech stack (CRM, CMS, analytics, data warehouses)
Own the AI deployment lifecycle: prompt versioning, rollback support, sandboxing, validation and performance monitoring
Design instrumentation and success metrics to evaluate agent performance and content quality
Support data governance, QA, and compliance with internal policies and external regulations
Document systems, deployment protocols, and technical standards for future scaling

Qualifications

3+ years in software engineering, with proven success in defining test cases and making designs or architectures
AI tooling and applied ML development
Proficient in Python, JavaScript/TypeScript, APIs, Git, and cloud services (AWS, Azure, or GCP)
Experience with OpenAI, Claude, Bedrock, LangGraph, or similar frameworks
Experience with LLM validation tools such as Ragas or DeepEval as well as non-LLM-as-a-judge approaches
Skilled in experimentally driven human-computer interaction (HCI) or data analytics/data science with good eye for design and ability to create valid experiments identifying assumptions, limitations and theoretically grounded predictions
Familiarity with marketing systems, user workflows, and enterprise security best practices
Ability to translate marketing concepts into modular, testable systems
Strong ownership mindset and comfort operating in pilot-to-scale environments

We are an Equal Opportunity / Affirmative Action Employer

Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator.

Additional Details:

Please note that this is a temporary assignment providing services to Hasbro through an external staffing agency. If you are selected for this assignment, you will be employed by Tapfin as a W2 employee and will not be an employee of Hasbro.

Employment Type: Temporary
Location: Remote (located in United States)
Duration: 6 months with possibility to extend to 12 months

In compliance with local law, we are disclosing the hourly pay range for this role. The hourly range for this position is $90.00 to $120.00. The hiring range will vary based on factors such as experience, skills, and market conditions.