Marketing Engineer

Job Role - Marketing Engineer Job Location - Pune / Hyderabad (Hybrid) Job Summary We are seeking a Marketing Engineer to support our AEO/GEO (Answer Engine Optimization / Generative Engine Optimization) program across our brand portfolio. This is an execution-focused role responsible for auditing, implementing, and optimizing onsite content, product feeds, schema markup, bot access, and measurement against AEO/GEO strategy and goals defined by the client team. Responsibilities Conduct AEO/GEO audits across brand websites covering content structure, schema implementation, product feed completeness, and bot accessibility.

Document findings and recommendations. Implement onsite content optimizations against defined patterns, including Q&A blocks, comparison content, atomic answers, and freshness signals across product detail pages, category pages, and editorial content. Implement and maintain schema.org and JSON-LD markup across product, category, and editorial pages per defined standards.

Execute product feed enrichment and attribute updates against client-defined specifications across PIM and feed pipelines. Configure and maintain bot access policy (robots.txt, meta directives, AI crawler rules) for GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and other AI crawlers per client direction. Review and analyze CDN bot traffic logs (Akamai, Cloudflare, or equivalent) to monitor AI crawler behavior, identify access patterns and anomalies, and recommend adjustments to bot access policy, rate limits, and routing.

Review AI-generated content drafts, schema suggestions, and feed enrichment outputs prior to publishing. Validate accuracy, brand voice alignment, and structured data correctness before approving for production. Operate within AI-driven workflow tools (Airtable or equivalent) used for task routing, content QA, and publishing pipelines.

Execute assigned tasks, update status, and surface blockers in line with workflow standards. Monitor and report on AEO/GEO metrics including citation share, AI surface visibility, AI-attributed traffic, and revenue. Maintain dashboards and weekly status reporting.

Support A/B test setup, execution, and result documentation. Collaborate with client merchandising, content, SEO, and platform engineering teams to align deliverables with brand workflows. Maintain implementation documentation and technical reference materials.

Required Skills 4+ years of experience in technical SEO, marketing engineering, or related roles. Strong SQL skills; working knowledge of Python. Hands-on experience implementing schema.org and JSON-LD structured data at scale.

Experience with PIM systems and product feed management. Working knowledge of robots.txt configuration and AI bot access policies (GPTBot, ClaudeBot, PerplexityBot, Google-Extended). Familiarity with reviewing and interpreting CDN bot traffic logs (Akamai, Cloudflare, Fastly, or similar) to monitor crawler activity and inform policy changes.

Familiarity with how LLMs retrieve and cite content (RAG, embeddings, content patterns that drive citation). Proficient with SEO and monitoring tools: Semrush, Ahrefs, Google Search Console, Screaming Frog or Sitebulb, and web analytics platforms (Google Analytics or equivalent). Experience working in AI-driven automated workflow tools (Airtable or equivalent) for task routing, content QA, and publishing pipelines.

Demonstrated ability to review and QA AI-generated content, schema, and feed outputs for accuracy, brand alignment, and structural correctness before publishing. Experience with A/B testing setup and reporting. Daily working use of AI tools (ChatGPT, Claude, or equivalent) in own workflow; demonstrated ability to adopt new tools quickly.

Strong written documentation skills. Effective collaboration across distributed teams. Preferred Skills Retail or e-commerce catalog experience.

Hands-on experience with citation tracking platforms (Profound, HubSpot AEO, Conductor). Experience working with multi-brand portfolios. Working Hours India business hours with daily overlap into US Pacific working hours.