Marketing Software and AI Marketing Engineer

Qualifications

• 3-6 years in software engineering, with proven success in defining test cases and making designs or architectures

• Proficient in Python, JavaScript/TypeScript, APIs, Git, and cloud services (AWS, Azure, or Google Cloud Platform)

• 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

• 5 more items(s)

Responsibilities

• 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

• 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

• AI tooling and applied ML development

• 9 more items(s)

More job highlights

Job description

Job Title- The Marketing Software and AI Marketing Engineer

Location- Remote

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 mai...ntain 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

• 3-6 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 Google Cloud Platform)

• 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

Show full description

Choose what you’re giving feedback on

Report this listing