Director of Product (AI)

About the Role :-You have personally built and shipped something with AI. Not led a team that did it. Not sponsored it from a director chair.

You wrote the prompts. You designed the tool layer. You looked at the eval data.

You shipped it to real users and you watched what they did with it.That is the qualifying condition for this role. Everything else in this document is for people who pass that bar.If you do not pass it, no amount of seniority, brand-name companies, or AI-adjacent leadership experience makes up for it. We will know within ten minutes of an interview.

Save us both the time.If you do pass it, this is the role you have been waiting for.

The betEvery fintech in India is shipping an AI feature. We are building the AI company.

Multiple production agents are already live at Jupiter, doing real work every day across the business, internal and customer-facing. They were built solo at the leadership level because the role we are now hiring did not yet exist in Indian fintech. It does now.

The thesis is straightforward and large. Every customer gets an agent advocate. Every employee gets an agent peer.

The agents talk to each other through a shared trust and tool layer, composing into answers and actions no single agent could deliver. The competitive moat is not any one agent. It is the topology between them.

The company that nails this owns the next decade of fintech. We intend to be that company.

The roleYou will own the AI product surface end to end.Customer-facing agents that change how millions of users experience Jupiter. Internal agents that act as peer colleagues to humans across PM, CX, ops, and analytics. The composition layer that lets them work together.

The next surface, as the fleet grows.You will set what each agent does, how it sounds, how it grounds in reality, what it refuses to do, and how it calls other agents to do things it cannot do alone. You will be in the prompts. You will be in the thumbs-down comments.

You will be in the tool definitions. You will be in the eval data.

If "Director" makes you think of OKR templates and quarterly roadmap decks, this is not your role. If it makes you think "I finally get to build the thing I have been thinking about for two years," read on.

The team you'll work with Small. Young. Fast. Default-AI.

Most of the people you will work with on this are in their twenties or early thirties. They came up after the LLM wave broke, they reach for an agent before they reach for a spec, and they have shipped more than people twice their age. The cadence is daily. The defaults are "build it yourself, ship it tonight, fix it tomorrow." Meetings are short. Documents are shorter.

The right hire treats this as a feature, not a compromise. You will be the most senior person in the room and you will not act like it. You will move at the pace they move, and you will earn their respect by shipping alongside them, not by holding office hours.

If you have spent the last few years building scaffolding around yourself, you will struggle here. If the thought of working shoulder to shoulder with a 26-year-old who is faster than you at half the things you do makes you nervous, this is not the role. If it sounds like the most fun you could be having, read on.

What makes this different from the same title anywhere elseThe scope is the company, not a feature. Most AI product roles in fintech today are bolting a chatbot onto a screen. You will own a fleet of agents that touch every function, every customer surface, and every employee workflow.

You will design what the industry copies in 2027. Composing agents through a shared mesh is not a pattern anyone in Indian fintech has shipped yet. You are not optimizing within a known design space. You are defining it.

You will work next to a peer who matches your bar. The Director of Engineering (AI) will be hired on the same filter and will sit one seat away from you.

It is a regulated environment, and that is a feature. Jupiter operates through two RBI-regulated entities. Compliance shapes what your agents can do, and the constraint is what makes the moat defensible.

What you'll ownThe customer-facing agent. Voice, scope, grounding rules, tool roadmap, audit cadence, and the policy layer that decides what the agent will never say.The internal agent fleet. You will expand the catalog and decide which function gets a peer next.The feedback-to-fix loop.

Today it fires within hours of a thumbs-down. You inherit it, tighten it, and turn it into the discipline the entire AI org runs on.The composition layer. You decide which agent should know what, which should call which, and where the human stays in the loop.The next surface.

Customer-side, employee-side, partner-side. You will sequence and ship it.

What we're looking for, beyond the qualifying filter Engineering-grade debugging. When something is wrong with the bot, you read logs, trace the tool call, check the grounding source, write a regression test. You do not ask the team to "look into it." Voice and judgment.

You can hold a strong opinion on whether a single sentence in an agent reply is honest or evasive, useful or condescending. You will be the final taste arbiter for what millions of customers hear from Jupiter.Builder mentality at Director level. You will personally ship for the first ninety days before you write a single JD for the team behind you.Ambition that matches the bet.

You see this as the chance to build something the rest of the industry will be studying. You are not here to optimize a funnel by 2 percent.Comfort with a small, young, AI-first team. You see "the team is small" as freedom, not as understaffing.

You ask "can an agent do this" before you ask "who can we hire to do this." You take energy from people moving faster than you expect, not threat.

What you won't doWrite quarterly roadmap PDFs. Run a twelve-person team in month one. Outsource the AI part to a vendor. Wait for engineering to ship before deciding what to ship next. Build process scaffolding to feel senior. Spend any time defending why AI matters. The bet is made.

What success looks like at six monthsYou own the customer-facing and internal agent audit loops end to end. Leadership is no longer in the prompt-fix Slack thread. Thumbs-down rate on the customer agent has dropped meaningfully against a day-one baseline.

You have grown one senior PM behind you who can run the loop solo on weekends. You have sequenced and shipped the next agent in the fleet. The team that was small and fast when you joined is still small and fast.

The basics Experience: 8 to 10 years, no more.We are looking for people in the prime building years of their career, not veterans who have stopped touching the keyboard.

Compensation: 85L to 1.3Cr cash, plus an equity package sized to be material at exit. We pay at the top of the Indian fintech market for this role. If you are exceptional, we will go higher. We will be specific about valuation, strike, vesting, and the math in the conversation. We do not believe in "we will figure that part out later."

Location: Bangalore, in person. This is not a remote role.

Reporting: Reports to company leadership for the first six months by design, transitioning to peer-of-executive as the handoff completes. Peer to the Director of Engineering (AI). You will sit next to each other.

How to applySend us the thing you built. A repo, a demo, a screenshot of the prompt you are proudest of, a screen recording of the agent working. One paragraph on what you would change about it now and why. We will read this before we read your resume.