Marketing Subject Matter Expert (SME)

Job Description

Role Overview

We are looking for a Marketing Subject Matter Expert (SME) with strong domain knowledge and analytical acumen to help train, evaluate, and fine-tune AI models for marketing. This individual will serve as the bridge between marketing strategy and AI systems, ensuring that models accurately understand marketing concepts, workflows, and business goals.

The ideal candidate brings hands-on experience across the marketing funnel—from campaign strategy and content creation to analytics and optimization—and a passion for leveraging AI to enhance marketing intelligence and automation.

You will collaborate with data scientists, engineers, and product teams to help build next-generation AI models capable of powering marketing assistants, campaign optimizers, and predictive analytics tools.

Key Responsibilities

• Domain Training & Annotation

• Provide domain expertise during model training, ensuring AI systems understand marketing terminology, logic, and workflows.

• Label, curate, and validate datasets containing marketing materials (ad copy, campaign briefs, KPIs, customer segments, etc.).

• Design realistic scenarios and data prompts representing different marketing contexts (e.g., brand launches, A/B testing, multichannel campaigns).

• Workflow Simulation & Process Mapping

• Translate end-to-end marketing workflows (e.g., campaign planning → execution → measurement → optimization) into structured training data for AI learning.

• Identify decision points, metrics, and dependencies in marketing operations that AI systems must recognize.

• Collaborate with ML engineers to represent these workflows in AI-friendly formats (taxonomies, knowledge graphs, or structured datasets).

• Model Evaluation & Feedback

• Review AI-generated outputs for marketing relevance, creativity, tone, and compliance.

• Provide structured feedback and improvement strategies to improve model understanding and response quality.

• Develop and refine evaluation criteria (e.g., campaign effectiveness, audience relevance, brand consistency).

• Strategic Collaboration & Innovation

• Partner with product teams to define AI-driven marketing use cases (campaign recommendations, content personalization, audience segmentation, performance prediction).

• Bring a creative problem-solving mindset to identify opportunities where AI can improve marketing efficiency and decision-making.

• Stay current with evolving marketing technologies, data platforms, and generative AI tools to inform model enhancement.

Required Qualifications

• Bachelor’s or Master’s degree in Marketing, Business, Communications, or related field.
• 7–12 years of hands-on experience in marketing, with exposure to:
• Campaign strategy and execution (digital, social, performance, and/or brand marketing)
• Marketing automation tools (Hub Spot, Salesforce Marketing Cloud, Marketo, etc.)
• Analytics and measurement workflows (Google Analytics, Looker, Power BI, etc.)
• Customer segmentation, journey mapping, and content strategy
• Media planning, A/B testing, and ROI optimization
• Seo research using AI/ML methodology to get the best output.
• Proven ability to translate real-world marketing problems into structured data or process documentation.
• Excellent communication and documentation skills—able to articulate domain logic clearly to technical teams.
• Experience collaborating cross-functionally with data science, product, or engineering teams.

Ideal Workflow Experience:

The candidate should have practical experience managing or contributing to several of the following workflows:

Campaign Lifecycle Management:

• Brief creation, creative development, approval, launch, tracking, and post-campaign analysis.

1. Performance Marketing:

• Keyword research, bidding strategy, conversion tracking, and A/B testing.

CRM & Marketing Automation:

• Lead scoring, email drip campaigns, segmentation, personalization, and customer retention programs.

Content Strategy & Social Media:

• Editorial calendar planning, content generation, influencer marketing, and engagement analytics.

1. Data-Driven Marketing

• Using data to optimize campaigns, build dashboards, and interpret KPIs.

Brand & Communication:

• Managing tone, consistency, and storytelling across channels.

Why this matters

By shaping the data and benchmarks these models rely on, you'll help ensure that Generative AI is accurate, reliable, and aligned with the standards of your professional field. This is a unique opportunity to apply your domain knowledge at the cutting edge of technology.