Senior Manager SEO, AI Search & Discovery (AEO/GEO)

Great Learning; Gurugram District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Great Learning in India seeks a seasoned SEO leader to own the organic growth strategy, spanning technical SEO, content, and analytics. You will partner with Product and Engineering to scale traffic, leads and revenue through data-driven experiments.

You will drive AI/LLM search visibility, build datasets, measure brand presence, and collaborate across Marketing, PR, and Brand to improve rankings and domain authority.

Qualifications

• Proven track record in growing organic traffic and leads.
• Experience leading SEO initiatives across technical, content, and data domains.
• Ability to build business cases and measure impact.

Responsibilities

• Own and evolve the organic growth strategy, prioritizing initiatives by opportunity, impact and scalability.
• Drive growth across organic traffic, rankings, qualified leads, conversion and revenue.
• Lead technical SEO across crawling, indexing, site architecture, internal linking and mobile-first SEO.
• Develop content and authority strategies with Content, PR and Brand.
• Measure impact of SEO initiatives and refine priorities based on results.
• Identify product-led organic growth opportunities and partner with Product/Engineering to launch them.
• Build and test AI-search visibility strategies for AI platforms.

Skills

SEO Strategy

Organic Growth

AI/LLM in SEO

Data Analytics

Cross-functional Leadership

Product Thinking

Tools

GA4

Semrush

Ahrefs

Screaming Frog

Bing Webmaster Tools

SQL

BigQuery

Python

APIs

Job description

Primary Responsibilities (Including but not limited to):

SEO & Organic Growth

• Own and evolve the organic growth strategy, prioritizing initiatives based on opportunity, business impact and scalability.
• Drive growth across organic traffic, rankings, qualified leads, conversion and revenue.
• Identify opportunities using search demand, SERP analysis, user intent, competitor insights and customer search behavior.
• Lead technical SEO initiatives across crawling, indexing, site architecture, internal linking, rendering, structured data and mobile-first SEO.
• Develop content and authority strategies with Content, PR and Brand to improve visibility, links, rankings and domain authority.
• Measure the impact of SEO initiatives and continuously refine priorities based on results.

Product-Led Organic Growth

• Identify opportunities where product experiences can become scalable organic acquisition channels.
• Use search and customer-demand data to uncover new product and growth opportunities.
• Develop initiatives around tools, templates, landing-page experiences, programmatic pages, proprietary data, UGC and other scalable experiences.
• Build business cases using demand, competitive opportunity, expected impact and implementation effort.
• Work with Product and Engineering to take opportunities from idea to launch, measurement and scale.
• Look beyond content creation and continuously explore what we can build to solve what users are searching for.

AI / LLM Search

• Own and develop our approach to visibility across ChatGPT and other major AI/LLM search and answer platforms.
• Build relevant prompt and topic datasets based on customer demand and business priorities.
• Measure brand mentions, citations, competitive share of voice and visibility across AI-generated answers.
• Analyze the sources, publishers, communities and content influencing AI answers.
• Understand why competitors are being mentioned or cited where our brand is not.
• Design and run experiments to improve brand visibility, citations and representation across AI platforms.
• Connect AI-search learnings with SEO, content, digital PR, brand and product initiatives.
• Continuously test new approaches as AI discovery evolves rather than relying on a fixed GEO/AEO playbook.

Data, AI & Automation

• Build and analyze our own datasets rather than relying solely on third-party SEO tools and industry benchmarks.
• Turn large and messy datasets into actionable insights, opportunities and business cases.
• Use AI to improve research, SERP and intent analysis, classification, competitive intelligence and experimentation.
• Use AI as a working tool, not just for content generation, to improve the quality, speed and scale of decision-making and execution.
• Build or automate repetitive analysis and workflows where it can create meaningful efficiency or uncover opportunities that would otherwise be difficult to identify.
• Develop reliable reporting and measurement frameworks across search, product-led growth and AI-search initiatives.
• Experience with GSC, GA, Semrush, Ahrefs, Screaming Frog, Bing Webmaster Tools, SEO testing platforms, APIs, SQL, BigQuery, Python or similar technologies is valuable.

Leadership & Cross-Functional Collaboration

• Operate as a senior individual contributor while providing direction and mentorship to SEO team members where needed.
• Work closely with Product, Engineering, Analytics, Content, PR, Brand and Marketing teams.
• Translate search and customer insights into clear business cases and product requirements.
• Use data and evidence to influence stakeholders and drive prioritization and decision-making.
• Communicate complex SEO, AI-search and data insights clearly to both technical and business stakeholders.
• Bring curiosity and creativity to the role, continuously challenging assumptions and identifying new opportunities.

What We’re Looking For

We want someone who can demonstrate what they have actually built and the impact it created, not just knowledge of SEO, AI or the latest industry terminology.

You should be able to show examples of opportunities you identified, the data behind them, what you personally built or changed, how you measured the impact, what you learned and what you did next.

The right person combines deep SEO fundamentals with product thinking, AI-search experience, strong analytical ability, curiosity and a bias toward experimentation and execution.

Hiring Process

As part of the interview process, shortlisted candidates will be given a practical assignment designed to assess hands-on technical knowledge, problem-solving and approach to organic growth.

The assignment will also evaluate how effectively you use AI as part of your working process. We are interested not simply in whether you use AI, but how you use it to research, analyze data, challenge assumptions, develop ideas, automate work and arrive at better outcomes.

Candidates should be prepared to explain their approach, the decisions they made, how AI contributed to the work, what they validated independently and how they would measure the impact of their recommendations.