You will not be building AI products - you will be making the team dramatically faster and smarter by deploying AI across workflow automation, data visualization, content production, competitive intelligence, and reporting. The output is not code; it is leverage. Every process you automate, every dashboard you build, and every insight you surface should free the team to do higher-order work.
KEY DETAILS
Location: Kolkata
Experience: 2+years, with strong applied AI and data visualization portfolio
WHAT YOU WILL OWN
- AI workflow automation : building Make / n8n pipelines that replace manual, repeatable work across the team performance, marketplace, and brand metrics
- Prompt engineering and LLM deployment: designing and maintaining prompt systems for content generation, competitive intelligence, and insight extraction
- Competitive and social intelligence: building and operating scraping + AI pipelines for marketplace reviews, Reddit/Quora signals, and category trends
- Reporting automation: replacing manual weekly/monthly reports with automated, stakeholder-ready outputs.
- AEO support: managing AI visibility tracking tooling and prompt library maintenance
- Tool evaluation: staying current on AI tooling and recommending adoption based on team leverage, not hype
MUST-HAVE EXPERIENCE
- Built production-grade automation workflows using Make, n8n, Zapier, or equivalent - not just templates
- Strong data visualisation skills: built dashboards that non-technical stakeholders actually use daily
- Hands-on with the Claude, OpenAI, or Gemini APIs - not just the chat interfaces data, write pipeline logic
- Experience with web scraping tools (Apify, Bright Data, Playwright) or structured data extraction
- Can translate a vague team pain point into a scoped automation brief and ship it
NICE-TO-HAVE
- Prior experience in a marketing team or agency - understands what performance marketers actually need
- Experience with Google Sheets / BigQuery as a data layer
- Knowledge of Meta Ads API or Amazon SP-API for programmatic data pulls
- Familiarity with AEO / GEO concepts and AI visibility tracking platforms (Profound, Peec AI,
- Has built a social listening or competitive intelligence system end-to-end
WHAT WE WILL MEASURE YOU ON
- Number of manual hours saved per month through automation (tracked, not estimated)
- Dashboard adoption rate: % of team using AI-built dashboards as primary reporting surface
- Time-to-insight: reduction in turnaround time for weekly and monthly performance reports
- Quality of competitive intelligence outputs: actionability rated by leadership
- Tool and prompt library maintenance: freshness and usage rate