AI Operations Lead

Role Overview

Puretech Digital operates at the pace of a creative, media, and performance agency. With generative AI transforming production, this role aims to establish a systematic, repeatable approach to AI integration and adoption across campaigns. You will develop reliable AI workflows and data-driven analytics to streamline content creation and provide actionable insights for clients and teams.

Key Responsibilities

• Create reusable prompt frameworks incorporating system instructions, dynamic elements, and structured outputs tailored to various content types like SEM ads, social media scripts, SEO articles, and creative briefs.
• Customize Gemini Gems tools to align AI outputs with client brand voices, personas, visual standards, and exclusion criteria to minimize manual rewriting.
• Establish and enforce quality control criteria focusing on fact accuracy, brand protection, and compliance with advertising platforms.
• Maintain a centralized internal prompt library with version tracking to ensure cumulative improvements beyond ad hoc chats.
• Develop automated content pipelines using Google's generative media tools (Imagen, Veo, Google Vids) to generate ad variants, social banners, and storyboards efficiently.
• Enable creative teams to work directly with Gemini within Google Docs, Slides, and Drive to reduce cumbersome tool switching.
• Deploy specialized AI assistants and background processes to simplify tasks involved in campaign ideation, copywriting, asset production, and client feedback.
• Integrate and reconcile data from multiple sources such as GA4, Google Ads, Meta Ads, Search Console, and internal AI usage logs; manage differing metrics, granularities, and refresh intervals to construct accurate, trustworthy datasets.
• Write and manage SQL queries on BigQuery or develop advanced Google Sheets models independently to extract meaningful insights.
• Analyze data to distinguish true changes from typical fluctuations, avoid misattributing correlation as causation, and provide clear conclusions with actionable recommendations.
• Create and sustain real-time dashboards in Looker Studio tailored to audience needs, focusing on specific questions rather than overwhelming metric displays.
• Communicate insights effectively to non-technical stakeholders with appropriate visuals, summary findings, and accessible detailed data sections.
• Automate reporting processes ensuring consistent metric definitions and reliable month-to-month comparisons covering campaign KPIs, content output speed, AI usage, and cost.
• Connect Google Workspace tools with Vertex AI, BigQuery, and automation platforms like Make or Zapier to facilitate hands-off pipeline operations.
• Monitor AI quotas, cloud expenditures, and campaign costs, flagging inefficiencies promptly.
• Uphold data privacy regulations and enforce client confidentiality standards rigorously throughout all workflows.
• Train creative directors, copywriters, media planners, and SEO/SEM professionals on practical, workflow-specific AI applications, including criteria for acceptable AI output.
• Track and improve user adoption of AI processes, addressing workflow abandonment proactively.

Expectations in the Initial 90 Days

• Deliver at least two operational content generation pipelines actively used by creative pods daily.
• Deploy one multi-source data dashboard that replaces manual reporting and is sufficiently trusted to prevent redundant manual work.
• Create a documented prompt library with designated owners responsible for ongoing improvements.
• Establish baseline AI usage and cost metrics across accounts with strategic insight on investment priorities.

Required Qualifications and Skills

• Minimum two years of practical experience deploying generative AI workflows in a production or delivery environment, including creating prompt frameworks and AI assistants used by teams.
• Proven ability to synthesize and reconcile data from at least three disparate systems, with clear examples of resolving conflicting metrics.
• Proficiency in interpreting data beyond surface-level trends to identify causes and recommend actions, with an awareness of data limitations.
• Strong skills in writing SQL for BigQuery or building complex Google Sheets data models independently.
• Experience designing and explaining data visualizations and dashboards aimed at non-technical audiences, particularly using Looker Studio or compelling alternatives.
• Good working knowledge of digital marketing analytics platforms including GA4, Google Ads, Meta Ads, and SEO/SEM metrics with ability to discuss attribution nuances.
• Competency in scripting with Python or JavaScript for API interactions, automation, and workflow integration.
• Hands-on familiarity with Google AI products such as Gemini in Workspace and Vertex AI.
• Willingness to be onsite in Kolkata initially, with possible hybrid work arrangement later.

Additional Preferred Skills

• Experience with Google's generative media suite including Imagen, Veo, Google Vids, and AI Studio.
• Background in managing AI agent orchestration frameworks like Agent Builder, LangChain, or LlamaIndex.
• Experience automating workflows using Make, Zapier, or similar platforms.
• Basic statistical understanding related to A/B testing such as sample size, significance, and noise interpretation.
• Proven track record in facilitating AI adoption among non-technical colleagues.
• Academic background in Computer Science, IT, Data Science, or related fields (B.Tech, B.E., B.S., or equivalent skills).

Nice-to-Have Credentials

• Google Cloud certifications such as Associate Cloud Engineer, Professional Machine Learning Engineer, or Cloud Digital Leader.
• Expertise connecting REST APIs to Looker Studio or Google Sheets via connectors or webhooks.
• Previous experience in creative, advertising, or performance marketing agencies.
• Skills in evaluating AI output quality methodically rather than relying on subjective impressions.