Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Weekday (YC W21)

Senior Growth Marketer, AI-native

Weekday (YC W21)

. Design and implement AI-driven growth marketing strategies across multi-channel B2B campaigns .

Posted 11/2/2026full-timeRemote • IndiaSenior💰 ₹3,000,000 - ₹4,000,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in designing AI-driven growth marketing strategies and developing predictive lead scoring models, with a strong focus on data privacy compliance and cybersecurity protocols. Proven ability to analyze campaign performance and mentor teams on AI tools and growth hacking techniques.

Highest-signal resume keywords
B2B Growth MarketingAI And Machine Learning ProficiencyPredictive Modeling ExpertiseCybersecurity Framework KnowledgeCross-Functional Team Leadership

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Predictive Lead ScoringCampaign Performance AnalysisA/B TestingMultivariate TestingData InterpretationCreative Campaign DevelopmentAttribution AnalysisSegmentationGrowth Metrics AchievementData-Driven Tactics
Soft Skills
Excellent CommunicationMentoringAdaptabilityContinuous LearningCollaboration
Tools & Technologies
TensorFlowPyTorchGPT-Based ModelsMarketing Tech StackAI APIsAutomation Workflows
Industry Keywords
Data Privacy RegulationsGDPRCCPACybersecurity ProtocolsEthical AI UsageBias MitigationGrowth Hacking Techniques

Tech Stack

Tools & technologies
Cyber SecurityPyTorchTensorflow

About the role

Key responsibilities & impact
  • Design and implement AI-driven growth marketing strategies across multi-channel B2B campaigns
  • Develop predictive lead scoring models using machine learning to prioritize high-value prospects
  • Collaborate with product, sales, and data science teams to integrate AI insights into go-to-market plans
  • Oversee data hygiene, privacy compliance, and cybersecurity protocols for all marketing data assets
  • Lead A/B and multivariate testing of creative assets, landing pages, and email sequences powered by AI
  • Analyze campaign performance, generate actionable dashboards, and report insights to senior leadership
  • Mentor and train junior marketers on AI tools, data interpretation, and growth hacking techniques
  • Stay current on AI advancements, cybersecurity threats, and industry best practices to maintain competitive advantage
  • Drive iterative improvements to marketing tech stack, incorporating new AI APIs and automation workflows
  • Champion ethical AI usage and bias mitigation in marketing initiatives

Requirements

What you’ll need
  • 6+ years of experience in B2B growth marketing with a proven record of scaling revenue through data-driven tactics
  • Proficiency in AI and machine learning platforms (e.g., TensorFlow, PyTorch, GPT-based models) applied to marketing challenges
  • Strong analytical mindset with expertise in predictive modeling, segmentation, and attribution analysis
  • Demonstrated ability to develop creative campaign concepts that resonate with senior decision makers
  • In-depth knowledge of cybersecurity frameworks, data privacy regulations (GDPR, CCPA), and secure data handling practices
  • Excellent communication skills, capable of translating complex AI insights into clear, actionable business strategies
  • Experience leading cross-functional teams and managing large-scale marketing technology implementations
  • Proven track record of achieving measurable growth metrics (MQLs, SQLs, ARR) in fast-paced, high-growth environments
  • Ability to adapt rapidly to new AI tools, emerging technologies, and shifting market dynamics
  • Passion for continuous learning and sharing AI and cybersecurity best practices with peers and stakeholders