Wipro

Marketing Subject Matter Expert (SME)

Wipro$166K — $208K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Marketing, Business, Communications, or related field.
  • 7-12 years of hands-on marketing experience across the marketing funnel.
  • Familiarity with marketing automation tools (e.g., HubSpot, Salesforce Marketing Cloud).
  • Experience with analytics and measurement workflows (e.g., Google Analytics, Power BI).
  • Strong communication and documentation skills to convey marketing logic to technical teams.

Responsibilities

  • Train AI models by providing domain expertise in marketing terminology and workflows.
  • Curate and validate datasets of marketing materials, ensuring data quality and relevance.
  • Design and simulate marketing scenarios to guide AI learning processes.
  • Translate marketing workflows into structured data for AI interpretation.
  • Review AI outputs for marketing appropriateness and provide actionable feedback.
  • Collaborate with product teams to identify innovative AI-driven marketing solutions.
  • Stay up-to-date with emerging marketing technologies and AI tools for model enhancement.

Benefits

  • Full range of medical and dental benefits options.
  • Disability insurance.
  • Paid time off, including sick leave.
  • Variety of paid and unpaid leave options.
Full Job Description
Job Title: Marketing Subject Matter Expert (SME)

City: New York City

State/Province: New York

Posting Start Date: 6/25/26

Job Description:

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 Responsibilities͏

  • 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 12 execution 12 measurement 12 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 Qualifications͏

  • Bachelor9;s or Master9;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 (HubSpot, 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:

  1. 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.
  1. CRM & Marketing Automation:
  • Lead scoring, email drip campaigns, segmentation, personalization, and customer retention programs.
  1. 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.
  1. Brand & Communication:
  • Managing tone, consistency, and storytelling across channels.


Why this matters

By shaping the data and benchmarks these models rely on, you9ll 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.

The expected compensation for this role ranges from $80.00 to $100.00.

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro9s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

About Wipro

Wipro Limited is an Indian multinational corporation that provides information technology, consulting and business process services. The company was founded in 1945 and is headquartered in Bengaluru, India. Wipro has operations in over 50 countries and employs over 191,000 people. The company's primary business is in the information technology sector, and it provides services such as application development and maintenance, digital strategy consulting, and data analytics.
Learn more about Wipro
Size
240,000 employees
Market Cap
$25.9 billion
Industry
Net Income
$101.4 billion
Founded
1945
5 Year Trend
+7.5%
Revenue
$614 billion
NASDAQ

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