Experience: 8–12 years overall, with 3–5 years of relevant AI/ML project management experience.

Key Responsibilities:

• Manage AI/ML projects end-to-end, from requirement gathering and feasibility assessment to development, testing, deployment, and production support.
• Coordinate with Data Scientists, ML Engineers, Data Engineers, Developers, and business stakeholders.
• Define project scope, timelines, milestones, resource plans, budgets, and delivery KPIs.
• Track project progress, manage risks and dependencies, and resolve implementation challenges.
• Ensure successful transition of AI/ML solutions from PoC to production.
• Manage stakeholder communication, project governance, and delivery reporting.

Required Experience:

• Proven experience managing and successfully delivering AI/ML projects end-to-end.
• Hands-on exposure to AI/ML implementation, including model development coordination, validation, deployment, and monitoring.
• Experience managing cross-functional technical teams and Agile projects.
• Experience with cloud AI/ML platforms such as AWS, Azure, or GCP.
• Exposure to Generative AI/LLM projects is an advantage.

Technical Understanding:

• Understanding of ML fundamentals, model training, validation, and evaluation metrics.
• Knowledge of data pipelines, data quality, model deployment, and MLOps.
• Familiarity with APIs, cloud infrastructure, production monitoring, and model performance.
• Basic understanding of Generative AI, LLMs, and RAG is preferred.

Essential Skills:

• Strong project planning, execution, and delivery management.
• Excellent stakeholder management and communication.
• Risk management, problem-solving, and cross-functional team coordination.
• Experience with Jira, Azure DevOps, MS Project, or similar tools.

Key Hiring Requirement:

Candidates must have proven experience managing AI/ML projects from initiation through production deployment and available in the market. Candidates with only conventional IT project management experience or theoretical AI/ML knowledge will not be suitable.

Experience : 3 to 5 years.

Responsibilities

• Deliver product demos to clients and own end-to-end onboarding: kick-off, account set-up, billing configuration, user training and go-live support.
• Review contracts, pricing and invoicing terms to ensure accurate financial set-up.
• Partner with Sales for smooth hand-offs and spot upsell opportunities.
• Build strong client relationships as their main point of contact during onboarding.
• Track onboarding KPIs and keep CRM records up to date.

Requirements

• 3-4+ years in client onboarding, customer success or account management.

• Strong finance background (degree in Finance, Accounting or Commerce, or equivalent experience).
• Experience in a sales-oriented role involving onboarding and relationship management.
• Hands-on experience with SaaS products or platforms.
• Excellent communication and organisational skills.

Job summary

We are seeking an experienced, data-driven Senior SEO Executive to join our growing digital marketing team. The ideal candidate will develop, implement, and manage complete search strategies that drive organic growth, improve keyword rankings, and generate qualified leads.

The role also covers brand visibility across traditional search engines and AI-powered search platforms such as Google AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, and Copilot.

You will work closely with the content, design, and development teams to apply SEO and AI-search best practices across all digital channels and markets (USA, UK, Australia, GCC and global).

Key responsibilities

1. On-page optimization

• Conduct comprehensive website audits and identify improvement opportunities.
• Optimize web pages, service pages, blogs, and landing pages for targeted keywords, topics, and search intent.
• Ensure proper implementation of meta tags, header tags, schema markup, alt text, and internal linking.
• Collaborate with content writers to create helpful, people-first content aligned with Google's E-E-A-T guidelines (Experience, Expertise, Authoritativeness, Trustworthiness).
• Build topical authority through pillar pages, topic clusters, and entity-based content planning.
• Improve site structure, crawlability, and user experience to enhance rankings.
• Monitor Core Web Vitals (LCP, INP, CLS), site speed, and mobile-first performance.
• Regularly refresh and update existing content to prevent ranking decay.

2. Generative Engine Optimization (GEO) / AI search visibility

• Develop strategies to improve brand visibility and citations in AI Overviews, AI Mode, ChatGPT Search, Perplexity, Gemini, and Copilot.
• Structure content for AI extraction: clear answers, FAQs, comparison tables, statistics, and well-organized passages.
• Strengthen entity signals (brand, services, people, and locations) through schema, Knowledge Panel optimization, and consistent brand information across the web.
• Track brand mentions, citations, and share of voice across AI platforms using appropriate tools.
• Manage AI crawler access (robots.txt for GPTBot, Google-Extended, PerplexityBot, etc.) and evaluate emerging standards such as llms.txt.
• Optimize for Bing (Bing Webmaster Tools, IndexNow), as it powers several AI search experiences.

3. Off-page optimization and digital PR

• Develop and execute quality link-building strategies, including guest posts, outreach, digital PR, and data-led content.
• Build relationships with relevant websites, industry publications, journalists, and influencers.
• Drive unlinked brand mentions and listings on review and directory platforms (Clutch, GoodFirms, G2, etc.), which influence both SEO and AI recommendations.
• Manage link profile health and perform backlink audits to identify and handle toxic or spammy links.
• Monitor competitors' backlink and PR strategies and identify new opportunities.
• Ensure all link-building complies with Google's spam policies.

4. Technical SEO

• Work with the development team to fix crawling, indexing, rendering, and other technical issues.
• Monitor XML sitemaps, robots.txt, canonical tags, redirects, and hreflang for multi-region sites.
• Audit JavaScript rendering and indexing for modern frameworks (React, Next.js, etc.).
• Implement and validate structured data (Organization, Service, FAQ, Article, Breadcrumb, Review, etc.).
• Conduct log file analysis and crawl budget optimization where needed.
• Optimize website architecture for better indexing and ranking performance.
• Run regular technical audits and support SEO quality checks during website migrations and redesigns.

5. Keyword strategy and analytics

• Conduct in-depth keyword and topic research covering short-tail, long-tail, conversational, and question-based queries.
• Map keywords and topics to content and pages based on search intent and funnel stage.
• Track keyword performance, SERP feature ownership, and zero-click trends.
• Set up and manage tracking in GA4, Google Search Console, Google Tag Manager, and Looker Studio dashboards.
• Measure organic contribution to leads and pipeline (form fills, MQLs, SQLs) together with the sales and CRM teams.
• Generate detailed SEO performance reports covering traffic, rankings, AI visibility, conversions, and ROI.

6. AI tools and process efficiency

• Use AI tools (ChatGPT, Claude, Gemini, etc.) responsibly for research, content briefs, outlines, schema generation, and audit automation.
• Ensure all AI-assisted content is reviewed, fact-checked, and edited to meet quality and E-E-A-T standards.
• Build repeatable SOPs, templates, and automation to improve team productivity.

7. Team management

• Lead, guide, and mentor junior and mid-level SEO executives.
• Assign daily tasks, monitor performance, and ensure timely deliverables.
• Conduct training sessions to upskill team members on SEO tools, AI search, and industry trends.
• Coordinate with the content, design, development, and PPC teams to implement SEO plans.
• Review team reports and provide actionable feedback for improvement.

8. Reporting and strategy

• Present monthly performance and progress reports to management.
• Suggest and implement data-driven strategies for continuous improvement.
• Monitor Google core updates, spam updates, and AI search changes, and adjust strategy quickly.
• Stay updated on SEO tools, AI search developments, and emerging digital marketing trends.

Key performance indicators (KPIs)

• Growth in organic website traffic and engaged sessions.
• Improvement in keyword rankings (Top 10 / Top 3) and SERP feature ownership.
• Growth in brand visibility and citations in AI search platforms (AI Overviews, ChatGPT, Perplexity, etc.).
• Increase in organic leads, conversions, and pipeline contribution.
• Growth in quality referring domains and brand mentions.
• Core Web Vitals and technical health scores.
• Timely completion of audits and optimization tasks.
• Team performance and delivery quality.

Required skills and qualifications

• Bachelor's degree in Marketing, IT, Communications, or a related field.
• 5–8 years of proven experience in SEO (agency or in-house), ideally in B2B, IT services, or SaaS.
• Strong knowledge of on-page, off-page, and technical SEO.
• Working knowledge of GEO/AEO and how AI search platforms select and cite sources.
• Solid understanding of E-E-A-T, helpful content principles, and Google's spam policies.
• Hands-on experience with SEO tools: Ahrefs, Semrush, Screaming Frog, GA4, Google Search Console, Google Tag Manager, Looker Studio, Bing Webmaster Tools, Moz, etc.
• Experience with AI visibility tracking tools (e.g., Semrush AI Toolkit, Ahrefs Brand Radar, Profound, or similar).
• Familiarity with CMS platforms (WordPress, Shopify, Magento, headless CMS).
• Analytical mindset with strong reporting and problem-solving skills.
• Excellent communication and junior SEO team management abilities.

Preferred skills

• Knowledge of HTML/CSS/JavaScript basics for SEO implementation.
• Experience in international SEO (UK, Australia, US markets, hreflang), local SEO, and eCommerce SEO.
• Understanding of conversion rate optimization (CRO), analytics tracking, and attribution.
• Experience with programmatic SEO and large-scale content operations.
• Familiarity with CRM platforms (HubSpot, Salesforce, Zoho) for lead tracking.
• Basic Python, Google Sheets automation, or API knowledge for data analysis and automation.
• Understanding of YouTube and video SEO.