Chief Technology Officer

Who Are We? MagicBI.ai is an

Autonomous Analytics

platform. We connect to your data sources, build a persistent understanding of your business, and let

AI agents

do the exploring, the narrating and the delivery — so teams get decision-ready answers instead of another dashboard nobody opens.

As part of the larger

Analytics/Business Intelligence

ecosystem, we're focused on solving the most overlooked and neglected last-mile problem, where business decisions are made from the insights found by data and business teams.

We are a founder-led team operating across the Bay Area and Mumbai.

Who Are You? You have built systems that other engineers depend on, and you have led the people who built them. You have been the person who decided what the architecture would be, defended that decision, and lived with the consequences.

You are not looking for a defined scope. You want to own the technical direction of a company at the point where that direction is still being set, and you want equity that reflects it.

We're looking for a

Chief Technology Officer

to join the founding team at

MagicBI

— partnering directly with the CEO and COO on what we build, how we build it, and who builds it with us.

What We Need?

10+ years

building software, with meaningful time spent on

distributed

systems

or

data

infrastructure .

Depth in

Python

and/or

Golang , and production experience on

GCP

or

AWS .

Hands‑on experience architecting

LLM - based

applications

—

agent

orchestration ,

retrieval , and

evaluation

— not just consuming an API.

Strong grounding in

data platforms: warehouses, pipelines, semantic and metrics layers.

A track record of hiring, mentoring and leading an engineering team, however small.

Judgement about what not to build, and the ability to explain that judgement to non-engineers.

Prior startup or 0→1 experience, ideally somewhere without a playbook.

What You’ll Do? Own the end-to‑end technical architecture of the platform, and the trade‑offs behind it.

Set the standard for how AI is used in the product — where it reasons, and where it must never be trusted to compute.

Build, hire and lead the engineering team, and set the bar for what good looks like here.

Make the build‑versus‑buy calls, choose the stack, and own the consequences.

Own security, reliability and scale as we move from early customers to production load.

Partner with the CEO and COO on roadmap, technical due diligence and investor conversations.

Stay close to the code. This is a founding role, not a management layer.

Why Join Us?

Founding‑team ownership of the technical direction of a company, not a team inside one.

Meaningful equity, discussed openly and early.

Work at the intersection of Data, AI and SaaS on problems that are genuinely unsolved.

Direct partnership with two founders who have spent 15+ years in analytics.

No layers, no committees, and a very short distance between a decision and a shipped product.

#J-18808-Ljbffr