SEO Specialist

Mckinley Rice Creativity; Dadri, Pune District; Hybrid; INR 450,000 - 750,000; Full time

Job summary

Kaabil by Redrob is seeking an SEO Specialist in India to lead technical and strategic optimization efforts for the Kaabil AI recruitment platform. You will own crawl health, schema, and Core Web Vitals while aligning SEO with product goals and growth targets.

The ideal candidate has 3–5 years of hands-on SEO, loves AI-native workflows, and can justify improvements with live-site results and SERP evidence. This role reports to Growth Lead.

Qualifications

• 3–5 years hands-on SEO with measurable results.
• AI-native workflow using Claude Code and connected tools.
• Thoughtful QA: verify statistics and quotes on live pages before publish.
• Deep technical SEO: diagnose indexation issues, redirects, and schema.
• Read SERP before trusting a difficulty score and explain its impact.
• Confident articulator of numbers as the sole SEO voice in the room.

Responsibilities

• Technical ownership — crawl/index health, sitemaps at scale, redirects, canonicals, Core Web Vitals.
• SEO — one primary keyword per page based on live SERP evidence.
• AEO — each page opens with a direct answer for AI Overview.
• GEO — measure brand presence in AI outputs across surfaces.
• Gate every page before publish — renders, forms, mobile, Core Web Vitals, canonical, single H1.
• Write briefs with SERP evidence for content writers.
• Maintain AI-crawler access and indexing controls.
• Run competitor and content-gap analyses and internal linking plans.

Skills

Technical SEO

Keyword strategy

AEO

GEO

AI fluency

Content analysis

Tools

Search Console

GA4

Semrush

Bing Webmaster Tools

Claude Code

Playwright

Firecrawl

Job description

SEO Specialist Kaabil by Redrob

SEO AEO GEO prompt-citation tracking | 3–5 years | India | Reports to Growth Lead

About Redrob AI

Redrob AI is building the AI screen of India. Several hundred million Indians will meet artificial intelligence for the first time on a phone rather than a laptop, and most of them will meet it through something that helps them earn more — so that is the thing we are building, and we are building it for them rather than adapting something designed elsewhere. The company is on the road to Series B with products already live and used every day by real people across campuses and cities. Two things define how we work. The first is that we build AI which does the work rather than AI that talks about it: our systems take actions on a person’s behalf and are judged on what actually happened, not on how the conversation felt. The second is that we run on measured numbers. Every person here can tell you their one number and where it stands today, decisions get made on a data pull rather than a deck, and we have killed our own favourite plans on the strength of one honest look at the evidence. It is a company where you will be given a real line to own and then held to it, and where you will find out quickly whether something is working, which is either the best or the worst news depending on the kind of person you are.

What Kaabil is

Kaabil is a career application that combines two powerful capabilities: an AI agent that reaches out to real recruiters on a candidate’s behalf every day, and a system that proves their skills through assessments, guided learning, and verifiable credentials. The two are connected in a continuous loop. Each job shows a match score and identifies the test or learning path that can improve it. Once completed, the credential updates the candidate’s resume and improves the agent’s future outreach. A single score and progress bar track overall growth, while contests and leagues keep candidates engaged. For institutions, Kaabil helps turn student readiness into measurable progress. Students get unlimited assessments with free retakes, lifetime credential wallets, targeted learning, and weekly readiness visibility for the institution.

Required

• 3–5 years hands-on SEO, including at least one site you took from a stated starting point to a stated result you can describe in numbers.
• AI-native working, non-negotiable. Research, briefs, drafts, pre-publish checks and reporting run inside Claude Code with connected tools. If your keyword research means downloading a CSV into Excel, this is the wrong role.
  
• And the reverse, equally strict: AI drafts, a human verifies. Every statistic and quotation on a live page must be checked before it ships. Publishing what a model invented is the one mistake that ends this role.
• Real technical depth — you have diagnosed an indexation problem, fixed a redirect chain and read a log file.
• You read the SERP before trusting a difficulty score, and can explain why that distinction matters.
• Comfortable as the only SEO voice in the room, and comfortable saying a number is wrong.

Responsibilities

• Technical ownership — crawl and indexation health, sitemap hygiene at scale, intent-mapped redirects, canonicals, Core Web Vitals on every template, and schema that matches actual content rather than chasing retired rich results.
• SEO — one primary keyword per page, chosen off a live SERP check rather than a difficulty score. No two pages compete for the same primary term.
• AEO — every page opens with a short direct answer to its main question, so search engines can lift it into an AI Overview or featured snippet.
• GEO — get the brand named inside ChatGPT, Gemini and Perplexity answers, and measure it rather than assume it.
• Gate every page before publish — renders, forms, mobile, Core Web Vitals, canonical, single H1. Nothing ships without passing.
• Write the briefs the content writer works from, with the SERP evidence behind each one.
• Keep the site’s AI-crawler access, inclusion settings and indexing controls correct and deliberate, not accidental.
• Run competitor and content-gap analysis, comparison pages and internal linking — the compounding work nobody schedules.

Skills

Technical SEO

Crawling, indexation, redirects, canonicals, sitemaps at scale, Core Web Vitals, structured data — and knowing which schema types still produce a result

Keyword strategy

Intent over volume. Recognises when a high-volume term belongs to a different audience entirely, and says so before the quarter is spent

AEO

Answer-first formatting, featured-snippet capture, and why one page gets lifted into an AI Overview and another does not

GEO

How LLMs select citations, which sources they retrieve from, and how to measure presence across separate surfaces without conflating them into one number

AI fluency

Has used an LLM inside a real workflow — MCP, an API, a script or an agent — and can explain what broke when they did

Tools

Search Console including its generative-AI reporting, GA4, Semrush, Bing Webmaster Tools. Claude Code, Framer, Playwright and Firecrawl are learnable on the job

Analysis

Separates brand from non-brand, activity from outcome, and a signup from an activated user

Your first 90 days

Days 1–30

Own the technical audit. Crawl the site, map indexation status, log every redirect chain and canonical mismatch, and read the log files. Set up the AI-native workflow — Claude Code with connected tools, Search Console’s generative-AI reporting — and publish the first honest technical health baseline.

Days 31–60

First keyword-mapped briefs shipped, each with the SERP evidence behind it. Priority technical fixes live — redirects, canonicals, Core Web Vitals on the worst-offending templates. AEO reformatting running on key pages. GEO measurement wired up across ChatGPT, Gemini and Perplexity.

Days 61–90

Every page gated before publish — renders, forms, mobile, Core Web Vitals, canonical, single H1 — with nothing shipping outside it. At least one GEO citation win you can point to, and a competitor and content-gap analysis with a roadmap for next quarter that you can defend line by line.