Lead Technical SEO Specialist – AI Search & SaaS
Experience: 4–9 Years
Location: Remote (Work from Home)
Employment Type: Full-time
No. of Positions: 2
Notice Period: Immediate Joiners Preferred
Industry: SaaS / AI Platforms / Product-Led Growth (PLG)
Educational Qualification: Bachelor's degree in Business Administration, Marketing, Computer Science, Information Technology, or a related discipline. MBA Preferred.
What We Are Looking For
- 4–9 years of hands-on experience in Technical SEO for SaaS, AI Platforms, B2B Software, Product-led, or Technology companies, with a proven track record of improving organic search performance and website health.
- Strong expertise in Technical SEO, AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), AI Search Optimization, Entity SEO, Semantic SEO, Structured Data (Schema.org), Core Web Vitals, crawl optimization, indexing, internal linking, canonicalization, XML sitemaps, robots.txt, redirects, and information architecture.
- Hands-on experience conducting comprehensive Technical SEO audits using Google Search Console, Google Analytics 4 (GA4), Ahrefs, SEMrush, Screaming Frog, Sitebulb, Looker Studio, and similar enterprise SEO platforms.
- Experience optimizing websites for Google AI Overviews and modern AI-powered search experiences using AEO, GEO, Entity SEO, and Semantic SEO best practices.
- Strong understanding of search engine crawling, indexing, ranking systems, structured data implementation, and technical website performance optimization.
- Experience collaborating with Engineering, Product, Content, UX, and Marketing teams to implement scalable SEO improvements across multiple websites and SaaS platforms.
- Ability to identify technical SEO opportunities, prioritize initiatives based on business impact, and drive implementation from audit to execution.
- Excellent analytical, communication, stakeholder management, and problem-solving skills.
- Hands-on experience leveraging AI tools such as ChatGPT, Claude, Gemini, Perplexity, NotebookLM, and AI-powered SEO platforms to improve research, reporting, automation, and workflow efficiency.
Responsibilities
- Own and execute the Technical SEO roadmap across multiple SaaS products, websites, and AI platforms.
- Conduct comprehensive Technical SEO audits covering crawlability, indexability, Core Web Vitals, structured data, XML sitemaps, robots.txt, redirects, canonicalization, internal linking, duplicate content, and website health.
- Optimize websites for Google AI Overviews and AI-powered search experiences using AEO, GEO, Entity SEO, Semantic SEO, topical authority, and structured content strategies.
- Plan and implement Schema.org structured data to improve search visibility, rich results, and entity recognition.
- Collaborate closely with Engineering teams to ensure SEO best practices are incorporated into website releases, migrations, new features, and platform enhancements.
- Identify and resolve technical issues affecting search performance, crawl efficiency, indexation, and organic visibility.
- Improve website architecture, URL structure, navigation, and internal linking to enhance user experience and search engine discoverability.
- Monitor website health, indexing performance, crawl reports, keyword rankings, Core Web Vitals, and AI Search visibility using enterprise SEO tools.
- Build SEO dashboards and executive performance reports using GA4, Google Search Console, Looker Studio, and other reporting platforms.
- Drive SEO experimentation across metadata, page templates, structured data, internal linking, AI citations, and technical optimization opportunities.
- Stay updated with Google algorithm updates, AI Search trends, LLM-powered discovery platforms, and emerging SEO technologies to recommend continuous improvements.
- Mentor junior SEO professionals by providing technical guidance, reviewing SEO implementations, and promoting industry best practices.
- Partner with Product, Marketing, Content, and Leadership teams to align Technical SEO initiatives with overall business and growth objectives.
Qualifications
- Bachelor's degree in Business Administration, Marketing, Computer Science, Information Technology, or a related discipline. MBA Preferred.
- 4+ years of hands-on experience in Technical SEO within SaaS, AI Platforms, Product-led, Technology, or B2B Software organizations.
- Strong expertise in Technical SEO, AEO, GEO, AI Search Optimization, Entity SEO, Semantic SEO, Structured Data (Schema.org), Core Web Vitals, crawl optimization, indexing, and website optimization.
- Hands-on experience with Google Search Console, GA4, Ahrefs, SEMrush, Screaming Frog, Sitebulb, Looker Studio, and other leading SEO platforms.
- Experience working closely with Product, Engineering, and Content teams to successfully implement technical SEO initiatives.
- Strong understanding of Google's Search ecosystem, AI-powered search experiences, search quality guidelines, and modern SEO best practices.
- Basic understanding of HTML, CSS, and JavaScript from an SEO perspective is preferred. Familiarity with SQL or Python for SEO analysis and automation will be an added advantage.
- Excellent analytical, communication, presentation, stakeholder management, and project execution skills.
- Google Analytics, SEMrush, HubSpot, Technical SEO, AI Marketing, or other relevant industry certifications will be an added advantage.
Pay: ₹1,000,603.42 - ₹1,200,000.82 per year
Benefits:
- Provident Fund
- Work from home
Application Question(s):
- Are you currently located in Bengaluru?
- Do you hold an MBA ?
- How many years of hands-on experience do you have in Technical SEO?
- How many years of experience do you have working with SaaS, AI Platforms, B2B Software, or Product-based companies?
- How many years of experience do you have with AEO, GEO, Entity SEO, and AI Search Optimization?
- Notice Period ( days )
- Current CTC ( monthly )
Work Location: Remote
