AI Marketing Manager

4 - 6 years

4 - 8 Lacs

Posted:10 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

AI Marketing Manager
Bangalore, India

Who are we?
Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.

The role?
Our marketing team is small but ambitious, building systems and strategies that scale. We are now looking for an AI Marketing Manager who will push the boundaries of marketing automation, agentic AI, and growth workflows.
This is not a traditional digital marketing role. We are looking for a builder who understands AI-first marketing. You will be responsible for designing, testing, and deploying AI-driven agents, automations, and workflows that supercharge demand generation and content operations. From building an AI SDR agent to automating ICP list building to creating a blog agent that scrapes competitor sites and publishes optimized articles automatically, this role is about engineering marketing systems that run themselves.

If you know Clay, Highperformr.ai, HubSpot, and other no-code/low-code or agentic platforms, and you're the kind of person who figures things out even if the answer isn't obvious, you'll thrive here.

What will you do?

  • AI Agent Development: Build and deploy AI agents across the marketing stack, including SDR agents, blog agents, newsletter agents, case study agents, and event automation agents.
  • Workflow Automation: Design and implement end-to-end workflows for lead generation, content creation, event follow-up, and reporting using tools like Clay, Highperformr.ai, Zapier, Lovable/Replit and HubSpot.
  • ICP & List Building: Automate data enrichment and ICP list creation to power ABM and SDR workflows.
  • Content and SEO Automation: Create agents that can source, draft, and publish SEO-ready blogs, newsletters, case studies, reports, or white papers with human-in-the-loop approval.
  • SEO & Content Ops: Automate content sourcing, drafting, publishing, and SEO reporting to improve discoverability and inbound pipeline.

  • Demand-Gen & Paid Campaigns: Support execution and tracking of multi-channel campaigns (email, paid social, programmatic, UA), automating reporting and funnel diagnostics.
  • Customer Journey Visibility: Map and automate touchpoints from first click to closed deal; ensure GA4, HubSpot, and attribution models align across channels.
  • Tool Evaluation & Implementation: Continuously evaluate new AI and automation platforms, integrate them into our stack, and sunset outdated processes.
  • Problem Solving: Tackle RevOps and Marketing Ops blockers head-on. If the answer doesn't exist, you build it.

What are we looking for?

  • 4–6 years in marketing operations, growth, or RevOps with proven AI/automation chops.
  • Hands-on experience with platforms like GA4, Clay, Highperformr.ai, Zapier, Lovable/Replit and HubSpot Data Hub (or similar competitors)
  • Demonstrated ability to design and implement workflows and AI agents.
  • Strong working knowledge of SEO, paid media/UA, and demand-gen campaign tracking.
  • Strong technical curiosity with basic no-code/low-code or “vibe-coding” ability to string tools together.
  • Analytical mindset: comfortable diagnosing funnel gaps (heatmaps, bounce rates, lead loss, conversion metrics).
  • Hunger and resourcefulness: you don't take no for an answer when it comes to solving bottlenecks.
  • Nice to have:
    • Experience with AI SDR agents or sales automation systems.
    • Familiarity with web scraping or data-gathering workflows.
    • Knowledge of SEO automation and auto-publishing workflows.
    • Background in B2B marketing environments.
    • Exposure to attribution modeling, ABM platforms, or advanced enrichment tools.

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