Technical Account Manager (TAM)

Summary

DetailPage helps Amazon brands grow organic traffic through search optimization, Amazon insights, and an AI-assisted process for optimizing product content. The Technical Account Manager translates client goals into AI prompts and checklists, builds and scales optimized product listings, performs quality assurance, improves automation workflows, and monitors post-publish performance.

Responsibilities

• Translate goals into guidelines. Join client intake calls with the CSM (Client Success Manager), convert brand voice, SEO targets, and compliance rules into clear AI prompts & checklists
• Prime the template. Build and deliver the first three "hero" ASINs; adjust based on feedback until the pattern is locked
• Batch at scale. Process the remaining ASINs via our patented AI process, ensuring each item hits all targets of client acceptance
• First-pass QA. Audit all generated content for accuracy, brand fit, and policy compliance before it ever reaches the client
• Revise fast, automate faster. Iterate prompts and scripts to reduce manual edits; document every tweak so the next run is smoother
• Toolsmith mentality. Work with technical teams to maintain and improve our code libraries, keyword APIs, and internal dashboards for speed, reliability, and insight
• Optimization watchdog. Run post-publish checks (indexing, Buy-Box visibility, SOV) and flag under-performers for refresh
• Cross-team partner. Hand off polished batches to the CSM, provide technical answers on calls as needed, and surface workflow ideas that boost the whole team

Skills

• Analytical mindset & curiosity – you enjoy breaking problems into steps and spotting patterns in data
• Spreadsheet confidence – you can build formulas in Google Sheets/Excel and are eager to master pivots & ARRAYFORMULA
• Clear written communication – able to document what you did and explain issues to teammates
• Meticulous attention to detail – double-checks character counts, links, and brand guidelines
• Growth mindset – proven ability to pick up new software quickly and ask good questions
• Exposure to Amazon Seller Central or e-commerce SEO
• Basic coding (JavaScript, Python, or Google Apps Script) from a class or hobby project
• Coursework or internships using data-analysis or BI tools (e.g., Tableau, Power BI, Looker)
• Hands-on projects with generative-AI tools or prompt engineering
• Familiarity with keyword-research tools (Helium 10, Keepa, etc.) or HTML basics

Qualifications

Must Haves

• Analytical mindset & curiosity – you enjoy breaking problems into steps and spotting patterns in data
• Spreadsheet confidence – you can build formulas in Google Sheets/Excel and are eager to master pivots & ARRAYFORMULA
• Clear written communication – able to document what you did and explain issues to teammates
• Meticulous attention to detail – double-checks character counts, links, and brand guidelines
• Growth mindset – proven ability to pick up new software quickly and ask good questions

Nice to Haves

• Exposure to Amazon Seller Central or e-commerce SEO
• Basic coding (JavaScript, Python, or Google Apps Script) from a class or hobby project
• Coursework or internships using data-analysis or BI tools (e.g., Tableau, Power BI, Looker)
• Hands-on projects with generative-AI tools or prompt engineering
• Familiarity with keyword-research tools (Helium 10, Keepa, etc.) or HTML basics

Benefits

• You'll architect and refine the systems that power thousands of top Amazon listings
• Patented AI workflow and an ever-growing script library; help build new tech
• Grow into senior TAM, automation lead, or solutions architect as we scale
• Watch your optimizations move keyword rankings and revenue in real time