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- 026 AI for Operators
026 AI for Operators
Abhishek Vora of Asana, AI Lead jobs, 7 links
Hi there,
Welcome back to AI for Operators. Here’s what we’ve got for you this week:
The Operator: A re-run of our early episode with Abhishek Vora, current Chief of Staff to the CEO at Asana, former CoS at LaunchDarkly (listen here)
The Essay: AI Lead Jobs
The Links: 7 links, including why major insurers are excluding AI risk from policies, multi-agent systems, and the rise of “context engineering”
The Operator | ![]() |
Abhishek is the Chief of Staff to the CEO at Asana. Previously, he was Chief of Staff to the CEO at LaunchDarkly and VP of Customer Success at Mosaic.tech. ![]() | ![]() |
Though this episode was recorded a couple of months ago, the lessons and use cases are still valuable. Abhishek uses AI extensively in his role for several mission-critical and strategic workflows. We cover topics including:
How he chains multiple prompts across ChatGPT Gemini Deep Research to keep track of competitors, work that would take an intern days
Drafting CEO updates, all-hands scripts, and memos in ChatGPT, which lets him focus on the narrative
M&A: he uses ChatGPT to keep tabs on potential acquisition targets
Gemini flagged a new feature as half-baked, which set the team off on a hunt to discover the underlying issues - and solve them
The ascendance of operators: how AI empowers generalist operators to tackle contracts, real-estate leases, and product positioning without calling in specialists
The Essay: AI Lead Jobs | ![]() |
AI Implementation Lead (aka AI Transformation Lead, AI Strategy Lead, AI Solutions Lead, etc.) may be the hottest new job of 2025/2026.
While we here at AI For Operators think that Chiefs of Staff and Business Operations people can take on these important initiatives as part of their jobs, many companies (especially larger ones) feel the need to define a new function to do this work.
This week, we’re highlighting some of the interesting jobs and trends that we’re seeing in these types of roles as a window into how companies large and small are thinking through the challenge and opportunity of AI transformation.
The Engineering-Inflected Transformation Lead
Often found at old-school technology companies, this flavor of AI Lead typically sits within the engineering or product organization. Typically, they’ll need to be hands-on with more complex, technical systems versus working primarily with tools like Zapier or N8N, but there’s still going to be a heavy people component to these roles. Two examples:
Special Projects, Office of the CTO - Moveworks
Gen AI Platform Lead - Wellington Management
The Old School Company Transformer
Often found in a Fortune 1000 financial, industrial, or healthcare company that’s currently adopting AI at a glacial pace. Indexes heavily on project management and deployment of enterprise-grade systems like Microsoft Copilot or Gemini. Some examples:
Sr. Process Consultant of Artificial Intelligence - The Hartford
AI Transformation Lead, Group Benefits - Guardian Life
The “Forward-Deployed AI Lead”
aka Solutions Engineer aka Consultant, they help clients adopt AI systems. Examples:
Transformation Lead - AI Edge Program - Apollo Global Management
AI Transformation Consultant - Section
AI Enablement Lead - Accordion
The Internal Enabler
Focused on driving adoption and (to a lesser extent, usually) building systems.
AI Implementation Lead - McFarland Johnson
AI Solutions Lead - K&L Gates
Senior AI Strategist / AI Operations Lead - Building and Land Technology
The Links | ![]() |
Practical
How AI is Changing the Way Students Learn - How Columbia Business School embraced AI.
Amazon is Using Agents for Deep Bug Hunting: Fresh off the first (public) AI hacking incident, this article recounts how Amazon’s security team is using teams of AI agents for security testing and threat analysis.
The Rise of “Context Engineering”: How to think about building dynamic systems to aggregate info that help models find the right inputs.
Perspectives
7 Summers in the First Scaling Age by Will Manidis - the build-up of the AI wave has taken longer - and cost more - than most of us care to remember. The deployment phase will take longer.
A Year at Miro: Perspective from the Head of AI Design at Miro
Thoughts on Multi-Agent Systems: More from AGI Policy Dev Lead at Google DeepMind - we’re still so early!
News
Major Insurers are Excluding AI Risk from Policies: Something for your team to check on your next business policy renewal - are you covered? Many insurers are getting out of the game altogether.

Thanks for reading,
Tom Guthrie




