Assistant Manager

As an Assistant Manager, you will go beyond task execution. You will contribute to building the digital presence and authority of an AI-first technology company serving high-growth businesses and global clients. You will work across search engines, AI answer engines, generative platforms, content ecosystems, and social channels to understand how people discover, evaluate, and make decisions about technology solutions.

The candidate will have responsibilities across the following functions:

AEO, GEO and SEO:

• Research and implement on-page and off-page optimisation strategies based on real user queries, buyer questions, and search intent.
• Optimise content for traditional search engines as well as AI-powered discovery and answer platforms.
• Identify opportunities to improve visibility across search engines, AI answer engines, and conversational platforms.
• Monitor emerging developments in SEO, AEO, GEO, and AI search and adapt strategies accordingly.
• Structure content to improve its ability to be understood, surfaced, cited, and summarised by AI systems.

Query, Entity and Intent Mapping:

• Analyse how founders, CXOs, product leaders, and technology decision-makers search for AI and software solutions.
• Map queries to topics, entities, relationships, use cases, and buyer intent. Identify content gaps based on questions, pain points, and decision-stage requirements.
• Build query clusters and topic frameworks aligned with business objectives and target audiences.
• Continuously analyse changing search and discovery behaviour across traditional and AI-driven channels.

Technical SEO and AI Readiness:

• Collaborate with developers and technical teams on SEO and AI-readiness requirements.
• Support implementation of structured data, schema markup, crawlability, indexing, internal linking, and page experience best practices.
• Identify technical issues that may impact search visibility, content discoverability, or AI readability.
• Ensure digital assets follow best practices for both search engines and emerging AI discovery ecosystems.

Content Optimisation:

• Collaborate with content and editorial teams to optimise blogs, landing pages, service pages, case studies, and thought leadership content.
• Optimise content around real-world questions, use cases, customer problems, and decision-making intent.
• Improve content structure, clarity, topical depth, internal connections, and trust signals.
• Identify opportunities to refresh existing content based on changing search behaviour and performance.
• Ensure content is useful, credible, relevant, and structured for both human readers and AI systems.

Social Media Management:

• Develop insight-driven posts around AI trends, industry discussions, technology use cases, and buyer concerns.
• Identify relevant conversations and emerging topics that can strengthen brand visibility and authority.
• Monitor engagement and audience response to improve future content strategies.
• Collaborate with internal subject-matter experts to turn technical insights into engaging business content.