Performance Marketing Lead

Time Hack Consulting; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Time Hack Consulting seeks a data-driven Digital Marketing Manager to design, execute, and optimize cross‑platform campaigns (Google, Meta, LinkedIn, programmatic) with a focus on analytics, automation, and AI to boost engagement and ROI.

You will also lead SEO initiatives in collaboration with an agency, ensuring on-page and off-page optimizations align with business goals and brand standards.

Qualifications

• Experience designing, executing and optimizing data-driven campaigns across multiple platforms.
• Ability to leverage analytics, automation, and AI tools to maximize engagement and ROI.
• Experience collaborating with SEO agencies for on-page and off-page optimizations.

Responsibilities

• Design, execute, and optimize data-driven campaigns across multiple platforms (Google, Meta, LinkedIn, programmatic).
• Leverage analytics, automation, and AI tools to maximize engagement and ROI.
• Lead SEO initiatives with on-page and off-page optimizations with an external agency.
• Develop integrated performance marketing strategies across digital channels.
• Define KPIs, set benchmarks, and ensure targets are met.
• Plan, launch, and optimize paid campaigns on Google Ads, Meta, and other networks.
• Benchmark performance against competitors and industry standards.
• Analyze user journeys, funnel metrics, and attribution models using GA4 and Looker.
• Refine campaigns through data insights, A/B testing, and audience segmentation.
• Collaborate with creative teams to develop compelling ad assets.
• Ensure brand consistency across channels.
• Manage and optimize campaign budgets; track spend vs returns.
• Monitor industry trends for innovation opportunities.
• Deploy AI-powered tools for targeting, budget allocation, and optimization.
• Experiment with AI tools to drive performance uplift across channels.

Skills

Data-driven marketing

Analytics

Audience segmentation

Budget management

Campaign optimization

Tools

GA4

Looker

Meta Suite

ChatGPT

Perplexity

Claude

Job description

You will be responsible for designing, executing, and optimizing data-driven digital campaigns across multiple platforms (Google, Meta, LinkedIn, programmatic, etc.) to drive measurable business growth. The role focuses on leveraging analytics, automation, and AI tools to maximize engagement and ROI, working at the intersection of strategy, creativity, and technology. You will also be responsible for SEO initiatives, working closely with an SEO agency that focuses on both on-page and off-page optimizations.

Key Responsibilities

• You will be responsible for designing, executing, and optimizing data-driven digital campaigns across multiple platforms (Google, Meta, LinkedIn, programmatic, etc.) to drive measurable business growth.
• The role focuses on leveraging analytics, automation, and AI tools to maximize engagement and ROI, working at the intersection of strategy, creativity, and technology.
• You will also be responsible for SEO initiatives, working closely with an SEO agency that focuses on both on-page and off-page optimizations.
• Develop integrated performance marketing strategies across digital channels (search, social, display, video, affiliates, e-commerce) aligned to business goals.
• Define KPIs, set benchmarks, and ensure campaign targets are met.
• Plan, launch, and optimize paid campaigns on Google Ads, Meta, and other ad networks.
• Benchmark campaign performance against competitors and industry standards.
• Work with an SEO agency on on-page and off-page optimizations, including GPT tools ranking like ChatGPT, Perplexity, and Claude.
• Analyze user journeys, funnel metrics, and attribution models using advanced analytics platforms (GA4, Looker, Meta Suite).
• Refine campaigns through data insights, A/B testing, and audience segmentation for maximum ROI.
• Collaborate with creative, design, and content teams to develop compelling ad assets.
• Ensure brand and communication consistency across all channels.
• Manage and optimize campaign budgets while tracking spend versus returns.
• Conduct competitive analysis and monitor industry trends for innovation opportunities.
• Deploy AI-powered tools for audience targeting, budget allocation, creative optimization, and predictive analytics.
• Experiment with AI tools to drive performance uplift across digital channels.