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Senior SEO Strategist (AI-Native Growth)

Kanerika Software

Job Location:

Hyderabad - India

Monthly Salary: Not provided by the employer

Experience Required: 5years

Posted: 30 May 2026 (30+ days ago)

Application Deadline: 27 August 2026

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

Role Overview

Kanerika is looking for a Senior SEO Strategist who doesnt just optimize pages but builds scalable AI-driven growth systems. This role sits at the intersection of SEO automation and revenue strategywhere experimentation meets execution.

You will be responsible for driving organic growth that contributes directly to a $35M pipeline target for 2026 while positioning Kanerika as a globally recognized data & AI brand across the U.S. and Europe.

This is a player-coach roleyoull execute hands-on while mentoring junior talent and building repeatable systems that scale.

Why Kanerika

At Kanerika we operate like a lab more than a factory. Ideas get tested. Systems get rebuilt. What worked yesterday is challenged today.

Youll work on:

Cutting-edge AI SEO convergence (programmatic Agentic workflows)

High-impact global campaigns across North America and Europe

A culture that values ownership speed and intellectual curiosity

Requirements

Key Responsibilities

1. SEO Strategy & Revenue Alignment

Build and execute a global SEO strategy aligned to a $35M revenue pipeline target (2026)

Identify high-intent keyword clusters across services solutions and migration-led growth pages

Own organic contribution to pipeline not just traffic metrics

2. Core SEO Execution (Foundational Excellence)

This is where consistency beats cleverness.

Conduct comprehensive keyword research (short-tail long-tail intent-driven clustering)

Perform on-page optimization:

Meta titles descriptions headers

Keyword placement and semantic optimization

Content structure and readability

Manage technical SEO hygiene:

Crawl ability indexing XML sitemaps

Core Web Vitals and page speed optimization

Fixing broken links redirects canonical issues

Execute internal linking strategies to improve authority flow and discover-ability

Perform regular SEO audits and implement fixes proactively

Monitor rankings traffic and engagement metrics using SEO tools

3. AI-Driven & Programmatic SEO

Design and deploy programmatic SEO frameworks using AI workflows

Implement SEO GEO scripting using Claude Code or equivalent tools to scale content and optimization

Build systems for high-volume page generation with quality control

4. Automation & Cloud-Driven SEO Operations

Leverage cloud automation to streamline SEO workflows (audits reporting publishing)

Build repeatable pipelines for:

Content production

Internal linking

Technical SEO checks

Focus on efficiency and scale over manual execution

5. Content Strategy & Optimization

Partner with content teams to develop SEO-driven content calendars

Optimize existing content for:

Improved rankings

Higher engagement and conversions

Ensure alignment with search intent across the funnel (TOFU MOFU BOFU)

Drive content refresh and pruning strategies

6. Experimentation at Scale

Run small-scale SEO experiments rapidly then scale winning strategies

Test:

Content formats

SERP features

AI-generated vs human-assisted content

Establish a continuous optimization loop

7. Authority Building & Link Growth Engine

Own and scale:

Link insertions

Guest posting programs

Link exchanges and partnerships

Conduct backlink audits and disavow toxic links where necessary

Manage and grow inbound requests for collaborations and paid placements

Build a sustainable backlink acquisition engine that compounds over time

8. Global Brand Expansion

Strengthen Kanerikas search visibility in the U.S. and Europe

Localize and optimize content for regional search behavior and intent

Position Kanerika as a thought leader in data AI and analytics

9. Analytics Reporting & Insights

Track and report on:

Organic traffic

Keyword rankings

Conversion rates and pipeline contribution

Use tools like:

Google Analytics

Google Search Console

SEO platforms (Ahrefs SEMrush etc.)

Translate data into actionable insights and strategy adjustments

10. Team Leadership & Mentorship

Mentor and coach junior SEO resources

Establish SOPs and quality benchmarks

Operate as a hands-on leader (player-coach mindset)

11. Thought Leadership & Continuous Learning

Stay ahead by actively following SEO and AI thought leaders

Bring in new ideas from:

AI search evolution

Algorithm shifts

Emerging tooling ecosystems

Qualifications

58 years in SEO preferably in B2B SaaS or consulting environments

Proven experience in driving measurable pipeline or revenue via SEO

Strong hands-on experience across:

Technical SEO

On-page & off-page SEO

Content strategy

Experience with AI-assisted SEO workflows and automation tools

Familiarity with programmatic SEO and large-scale content systems

Experience with cloud platforms or automation frameworks is a plus

What Were Looking For

Someone who respects the basicsbut doesnt stop there.

Meticulous with fundamentals but always thinking ahead

Experimental and data-driven

Industrious and execution-focused

Able to balance precision with speed

Comfortable operating in a world where SEO is rapidly evolving with AI

Success Metrics

Contribution to $35M marketing pipeline (2026)

Growth in organic traffic and qualified leads

Improvement in keyword rankings and SERP visibility

Increase in domain authority and backlink quality

Scalable SEO systems and automation frameworks deployed

Benefits

1. Culture:

a. Open Door Policy: Encourages open communication and accessibility to management

. b. Open Office Floor Plan: Fosters a collaborative and interactive work environment.

c. Flexible Working Hours: Allows employees to have flexibility in their work schedules.

d. Employee Referral Bonus: Rewards employees for referring qualified candidates.

e. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.

2. Inclusivity and Diversity: a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.

b. Mandatory POSH training: Promotes a safe and respectful work environment.

3. Health Insurance and Wellness Benefits:

a. GMC and Term Insurance: Offers medical coverage and financial protection.

b. Health Insurance: Provides coverage for medical expenses.

c. Disability Insurance: Offers financial support in case of disability.

4. Child Care & Parental Leave Benefits:

a. Company-sponsored family events: Creates opportunities for employees and their families to bond.

b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.

c. Family Medical Leave: Offers leave for employees to take care of family members medical needs.

5. Perks and Time-Off Benefits:

a. Company-sponsored outings: Organizes recreational activities for employees.

b. Gratuity: Provides a monetary benefit as a token of appreciation.

c. Provident Fund: Helps employees save for retirement.

d. Generous PTO: Offers more than the industry standard for paid time off.

e. Paid sick days: Allows employees to take paid time off when they are unwell.

f. Paid holidays: Gives employees paid time off for designated holidays.

g. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.

6. Professional Development Benefits:

a. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.

b. Mentorship Program: Offers guidance and support from experienced professionals.

c. Job Training: Provides training to enhance job-related skills.

d. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

e. Promote from Within: Encourages internal growth and advancement opportunities.

Required Skills:

Key Responsibilities: Lead the design and development of AI-driven applications particularly focusing on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java to ensure scalability reliability and maintainability. Deploy manage and scale AI applications using AWS cloud infrastructure optimizing performance and resource utilization. Collaborate closely with cross-functional teams to understand requirements define project scopes and deliver solutions effectively. Mentor team members providing guidance on best practices in software development AI methodologies and cloud deployments. Ensure solutions meet quality standards including thorough testing debugging performance tuning and documentation. Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. --- Required Qualifications: Bachelors or Masters degree in Computer Science Engineering Data Science Mathematics Statistics or related fields. At least 5 years of professional experience in AI/Machine Learning engineering. Strong programming skills in Python and Java. Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications. Proficiency in cloud platforms particularly AWS including experience with EC2 Lambda SageMaker DynamoDB CloudWatch and API Gateway. Solid understanding of AI methodologies including natural language processing (NLP) vector databases embedding models and large language model integrations. Experience with leading projects or teams managing technical deliverables and ensuring high-quality outcomes. AWS certifications (e.g. AWS Solutions Architect AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers TensorFlow PyTorch LangChain or similar. Experience in Agile development methodologies. Excellent communication skills capable of conveying complex technical concepts clearly and effectively. Strong analytical and problem-solving capabilities with the ability to navigate ambiguous technical challenges.

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