Amica Financial Technologies - Senior Product Designer - AI Native

Read this first. - You have shipped product design that moved a real metric at scale. - And you personally build with AI tools: working prototypes, not static frames, and at least one AI-native experience that reached real users. - If both are true, everything below will read like the role you have been waiting for. If not, stop here. - We mean the filter literally: the first interview is you demoing something you built yourself, running live, on your machine. - Not a case study. - Not a walkthrough of frames. - A working thing. The context: - Jupiter is a neobank across savings, payments, cards, loans, investments, and insurance, built on RBI-regulated entities with partner banks. - We have made a company-level bet: AI is not a feature layer on the app, it is the next version of the app. - A family of production agents already runs inside the business, and the next phase is customer-facing, starting with an agent that replaces our customer servicing stack. - But most of what users touch this year looks nothing like a chatbot. - Onboarding. - Card activation. - Repayment flows. - Payment success screens. - The designers who win here carry both: classic consumer design craft where a two percent funnel lift is real money, and the ability to design for a model whose output is not deterministic. - And here is the genuinely unsolved part: when an agent moves money, blocks a card, or explains a regulatory protection, the cost of a bad interaction is real financial harm. - The design patterns for this do not exist yet. - Confirmation without friction. - Confidence without overclaiming. - Disclosure that satisfies a regulator and still reads like a human wrote it. - You will be creating these patterns, not applying them. What you'll own: - Core product surfaces. - Depending on fit: onboarding, payments, cards, or lending. - Funnels, friction, comprehension, trust. - You own design metrics on these surfaces and you move them. - The AI interaction system. - A coherent design language for every agentic surface at Jupiter: conversation, streaming, tool-use visibility, citations, confirmations, error and repair states, escalation to humans. - One system, so a Jupiter agent feels like a Jupiter agent whether it is answering a KYC question or walking someone through a failed UPI transaction. Trust and safety surfaces: - The moments where an agent is about to act on money or data. - Consent, confirmation, and audit patterns that let users move fast and still feel in control. - This is where design earns its seat in a regulated business. - Your own leverage stack. - This is where the 10X comes from. - You scout, evaluate, and wire together the tools that change what one designer can produce: prototyping setups, agents for design audits and first-pass explorations, transcript review tooling, automated accessibility and consistency checks. We do not hand you a stack. - We expect you to bring one, keep upgrading it as the tool landscape shifts month to month, and turn the best of it into the default for the whole design org. - What you build for yourself often becomes what everyone uses. How you'll work: - Your designs ship first as working prototypes you build yourself, with a real model, real latency, real failure modes. - We test the thing, not a click-through of the thing. - On agentic surfaces, you write prompts and shape system behavior alongside product and engineering, because the model's behavior IS the interface. - You read transcripts of real agent conversations the way a traditional designer reads session recordings. - On classic surfaces, you live in the funnel data and treat every drop-off as a design question before it becomes a growth question. - And you keep judgment where judgment belongs. - AI does your grunt work: explorations, audits, first drafts. - It does not make your calls on hierarchy, trust, or what a moment should feel like. - The leverage exists to buy you more time on exactly those calls. What you won't do: - Hand off static frames and move to the next ticket. - Design happy paths and let engineering improvise the other ninety percent. - Split the world into "AI design" and "normal design" and pick a side. - Wait for a research team to tell you what users felt. - Ask for a bigger design team before asking whether a tool you could build closes the gap. What success looks like at six months: - A metric on a core surface you own has moved, and you can trace exactly why. - The AI interaction system exists, is documented, and every new agentic surface at Jupiter is built on it. - At least three of your designs went to users as prototypes you built yourself before an engineer wrote production code. - Your leverage stack is real and measurable: work that took the team days now takes hours because of tools you brought in or built, and at least two of them have been adopted by other designers. - When someone at Jupiter asks "how should the agent behave here," they ask you. - When someone asks "is there a tool for this," they also ask you. How we'll interview you: The demo: - Bring something AI-powered that you designed and built yourself. - Running, not recorded. - We will use it together and change things live. The number: - Walk us through one classic design project that moved a metric at scale. - We will push on attribution and what you got wrong. The stack: - Walk us through your current tool stack: what you use, what you dropped, and why. - We are listening for taste and velocity, whether you evaluate tools against real work or against hype. The teardown: - We give you a real transcript of an agent conversation that went wrong, and a funnel with a drop-off. - You tell us what the design should have done in each. - Same muscle, both worlds. The build: - A short working session where you prototype a confirmation flow for an agent action, with AI tools, in front of us. - We care about how you think with the tools, not pixel polish under pressure. Logistics: - Bangalore, in person. - Five to seven years of experience in consumer product design at scale, fintech a strong plus. - Reports into the design org, works daily with AI product and engineering leadership. - 40L to - 70L cash, plus equity, higher for exceptional candidates.