SEO & Organic Growth Manager

Job Description: SEO & Organic Growth Manager (SEO / GEO / AEO / ASO)

Role: SEO & Organic Growth Manager

Location: Bengaluru, Karnataka

Work Mode: Work from Office (On-site)

Industry/Domain: Product-led / Tech Platforms

Experience: Open to all experience levels (Junior to Mid/Senior)

About the Role

We are seeking an execution-focused, analytical SEO & Organic Growth Manager who approaches search and discovery through a first-principles, data-driven, and experimental mindset.

In this role, you will own the full spectrum of organic visibility, including traditional Search Engine Optimization (SEO), Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), Local SEO, and App Store Optimization (ASO) across Google Play and the Apple App Store.

You will design structured experiments, isolate variables, measure incremental impact, and automate reporting using modern AI-assisted scripting workflows.

If you understand how search engines, LLM retrieval pipelines, and app store algorithms work, and prefer measuring real business impact over following standard agency checklists, this role is for you.

Key Responsibilities

1. Technical SEO & Content Systems

• Audit and optimize technical SEO elements, including crawl budget, rendering paths, indexation pipelines, canonicalization, Core Web Vitals, and structured data (Schema.org).
• Apply a strong understanding of Google ranking algorithms, Core Updates, E-E-A-T frameworks, and YMYL quality guidelines.
• Build content architectures based on semantic search, entity relationships, topical authority clusters, and information-gain principles.

2. GEO & AEO (Generative Engine & Answer Engine Optimization)

• Develop, test, and implement strategies to improve visibility across generative answer engines, including Google AI Overviews, Perplexity, and ChatGPT search.
• Analyze and reverse-engineer RAG (Retrieval-Augmented Generation) citation behavior, brand entity mentions, and AI-generated answer patterns to improve brand presence across multiple search surfaces.

3. Data-Driven Experimentation & Impact Measurement

• Design, execute, and document structured organic search experiments involving title and meta description variants, internal linking structures, content and layout modifications, and schema variations.
• Separate external influences, such as seasonality and search algorithm changes, from experiment results to measure incremental gains accurately.
• Track improvements in impressions, organic traffic, and core product conversion metrics.

4. Automated Reporting & Analytics (AI-Assisted Workflows)

• Build and maintain automated reporting pipelines using Google Search Console, Google Analytics 4 (GA4), log data, and rank-tracking tools.
• Leverage AI tools and LLM-assisted coding to develop Python, Google Apps Script, or SQL workflows.
• Reduce manual reporting, detect performance anomalies early, and generate timely, actionable performance insights.

5. Local Search Architecture

• Manage multi-location and regional search presence across India.
• Optimize Google Business Profiles, local map pack signals, and hyperlocal landing page structures.
• Maintain citation consistency and optimize local schema, geo-entity signals, and content according to regional customer intent.

6. Dual-Platform App Store Optimization (ASO)

• Drive organic app acquisition across both the Google Play Store and Apple App Store.
• Conduct structured A/B tests on creative assets, including app icons, screenshots, and video previews.
• Optimize app store metadata, including titles, subtitles, keywords, short descriptions, and long descriptions.
• Monitor app store algorithm changes, keyword ranking fluctuations, and install conversion rates.

What We Expect

First-Principles Search Knowledge

• Strong technical understanding of how Google crawls, indexes, evaluates, and ranks web pages.
• Ability to diagnose search visibility issues beyond applying standard SEO best practices.

Product-Minded Approach

• Ability to connect organic traffic and search visibility with product activation, user retention, and business outcomes.
• Preference for data-backed decisions and measurable impact in product-led environments.

Pragmatic Automation Capability

• Ability to use AI tools such as ChatGPT, Claude, and Cursor to assist with coding and workflow automation.
• Practical exposure to Python, Google Apps Script, or SQL for data analysis, reporting automation, and performance monitoring.
• Willingness to use automation to reduce repetitive work and improve analytical efficiency.

Cross-Platform Versatility

• Ability to work across technical SEO, content systems, AI-powered search visibility, local search rankings, and app store listings.
• Understanding of how organic discovery works across web search, generative search, and mobile app stores.

Collaboration & Execution

• Ability to work closely with Engineering, Product, and Content teams to implement and measure SEO initiatives.
• Strong analytical thinking, problem-solving skills, and an execution-focused mindset.
• Willingness to work from the Bengaluru office.

Ideal Candidate Profile

We evaluate candidates based on first-principles technical knowledge, analytical capability, experimentation skills, automation ability, and demonstrated outcomes rather than years of experience alone.

Candidates who can independently investigate problems, test hypotheses, automate workflows, and connect organic growth initiatives to measurable business results will be well suited for this role.

Location: Bengaluru, Karnataka
Work Mode: Work from Office (On-site)