Live opening · Posted 3 days ago

Product Manager – AI AdTech / MarTech

Modlix · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyModlix
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed3 days ago

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About the role

Description supplied by the original job listing.

Modlix is an AI-powered marketing operating system for SMBs Globally. One of the product is Adzump.ai -- an Autonomous CMO (digital worker) enabling creative generation, performance marketing, social media, analytics coupled with decisioning helping scale businesses without need of expensive agencies, creative and marketing teams.
Key Responsibilities
Product Strategy & Discovery
Own product vision, roadmap, and MVP definition.
Conduct competitive research across major ad platforms.
Identify user pain points and workflow simplification opportunities.
Define target personas: SMBs, agencies, performance marketers.
AI-Driven Product Design
Identify meaningful AI use cases (campaign recommendations, budget optimization, forecasting, creative insights).
Work with engineering/data teams to define feasible, high-impact AI features.
Ensure AI outputs are clear, explainable, and actionable.
Metrics & Validation
Define activation, engagement, and performance improvement metrics.
Track AI effectiveness and advertiser outcomes.
Use data to validate assumptions and shape iterations.
Go-To-Market
Define GTM plan for MVP launch and early scale.
Partner with marketing/sales on positioning and onboarding.
Measure GTM success and optimize for adoption.
Required Experience
4+ years of Product Management experience in SaaS.
Proven history of launching MVPs end-to-end.
Understanding of AI/ML concepts and applied AI use cases.
Experience working with cross-functional engineering, design, and data teams.
Strong analytical mindset and KPI-driven decision-making.
Must Have
Experience in AdTech, MarTech, or analytics platforms.
Exposure to campaign management or performance marketing teams.
Familiarity with LLMs, recommendation systems, or predictive models.
Startup/early-stage product experience

Work arrangement
No

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