AI Generalist: Content
Growth School
Bangalore • On-site • Mid-Senior • Full-time
About the role
AI is moving faster than any field in recent memory, and the people we teach : working professionals, founders, freelancer etc need someone who is genuinely living inside it. The AI Generalist: Content sits at the intersection of three things: deep hands-on tinkering with the latest AI tools and workflows, building curriculum that turns that experimentation into something teachable, and standing in front of a room (virtual or otherwise) to actually deliver the learning.
This is not a role for someone who wants to specialise in one narrow slice of AI. It is for a builder-teacher hybrid who is comfortable shipping an end-to-end agentic workflow on a Tuesday, walking an enterprise L&D head through their team's upskilling needs on a Wednesday, and teaching a cohort of mid-career professionals how to do it themselves on a Thursday.
What you'll do
Stay on the bleeding edge
Track the AI ecosystem closely — new models, tools, agent frameworks, papers, product launches, and community workflows. We expect you to be the person in the room who already knows what dropped this week.
Experiment relentlessly. Build small, build often, and bring back what works.
Build end-to-end workflows
Conceive and ship complete AI workflows — from problem framing to working solution — that we can teach learners to replicate and adapt.
Document the why behind your choices, not just the how. Our learners need to understand the thinking, not just the steps.
Teach and deliver sessions
Run live sessions for cohorts of working professionals. This is a significant part of the role: strong communication and the ability to hold a room are non-negotiable.
Translate complex AI concepts into clear, practical, hands-on learning. Make people feel like they can actually do this when they leave the session.
Shape curriculum and engage enterprises
Sit in on enterprise discovery calls, understand client requirements, and translate them into curriculum that fits their teams and outcomes.
Build and refine curriculum content across our programs — outlines, exercises, real-world case studies, and assessments.
Coordinate with subject matter experts and mentors so learners get exposure beyond just our internal team, and so the curriculum keeps getting sharper over time.
Who we're looking for
We are not indexing on a specific degree, a fancy resume, or years of AI-specific experience. AI is too new for that to be a meaningful filter. What we do care about:
3 to 5 years of overall work experience.
What you did in those years matters less than how you've shown up. We want maturity, ownership, and someone who can hold their own in front of a room of senior professionals.
Recent, demonstrable hands-on work with AI.
Whatever you have been tinkering with in the last few months: agents you've built, workflows you've automated, tools you've shipped, prompts you've engineered, problems you've solved end-to-end - put it on your resume. Any form of proof of work counts: GitHub repos, deployed projects, written breakdowns, internal tools, side projects, or detailed walkthroughs you can talk us through.
Genuine fluency with AI tools you use day in, day out.
You should be a native user of at least one or two AI tools: Claude Code/Cowork, Codex, n8n or other platforms you reach for instinctively. We are less interested in how many tools you have touched and more in how deeply you have used the ones you have.
Strong communication and teaching ability.
You can explain a complex idea cleanly. You enjoy being the person who breaks things down for others. You are comfortable on stage, on camera, and on a call with an enterprise client.
Hunger to learn.
This field changes every week. You should already feel that as energising rather than exhausting.
Comfort with enterprise interaction.
You'll be on calls with L&D leaders, talent heads, and sometimes business leaders at our partner enterprises. You should be able to ask sharp questions, listen well, and translate what you hear into curriculum decisions.
Nice to have
Prior experience teaching, training, or running workshops — formally or informally.
A public footprint around AI: writing, talks, open-source contributions, or a portfolio of builds.
Experience working with enterprise teams.
What this role is not
To save everyone time, a few things this role is not:
It is not a pure research or pure engineering role. You will not be training foundation models or publishing papers.
It is not a senior leadership role. This is a mid-senior individual contributor position.
It is not a remote role. We work on-site from Bangalore.
Logistics
Location:
Bangalore (on-site).
Level:
Mid-senior individual contributor.
Compensation:
Discussed once shortlisted. Will be competitive for the level and the mar1ket.
