BullishAgentic design lead

Trade at the speed of thought.

Spot, Perpetuals, Dated Futures and Options redesigned around time to execution, with an AI layer that turns plain language into trades, hedges and answers.

Role: Trading Platform SME & Agentic Design Lead
Timeline: Present
Scope: Spot, Perpetuals, Dated Futures, Options
Platforms: Desktop and mobile

Bullish perpetuals trading screen with order entry, take profit, account margin health, chart, trades, order book, positions and a conversational strategy prompt

Overview

Two mandates. One trading experience.

Bullish is a digital assets exchange serving institutional and retail traders. I joined with two clear goals: lift the options trading experience to best in class, and grow trade volume by removing every barrier to execution.

The second mandate was just as ambitious: scale AI into the design team's workflow and bring conversational trading into the commercial platform.

Problem

Big orders, complex risk, too many clicks.

Institutional traders work large orders over hours, manage margin health across positions and hedge risk across perpetuals and options. Strikes, expiries, Greeks and margin all compete for the same screen.

Every extra step between a trader's view of the market and a filled order is a reason not to trade.

Research & Discovery

Start with the trade, end with the fill.

I mapped the end-to-end trading workflow for each product, tracing every step from market discovery to execution and looking for friction that cost time.

Voice-of-customer feedback and product requests were turned into design tickets with clear acceptance criteria, so every design decision traced back to a real trader problem.

Design Approach

Say what you want. See what it means.

Alongside a faster order ticket and terminal, I designed an AI layer that lets traders describe a strategy in plain language, such as "$50M BTC long, worked over 4hrs, GTD", and review it before anything is sent.

Conversational executionStrategy prompts with suggested starters, from hedges for IMR reduction to accumulation strategies with spend caps and volatility stops.

Risk scenario analysisIV and Greeks, max risk, break-even and max profit, a vol surface and a one-click hedge optimiser beside the ticket.

Margin at a glanceAccount health, available to trade, leverage and margin usage always in view while ordering.

Risk scenario analysis panel with vol surface and hedge optimiser, and an explain this price movement prompt on the chart — Risk scenario analysis with a vol surface and hedge optimiser, plus "explain this price movement" right on the chart.

Rapid Prototyping

An agentic design workflow.

Using Figma MCP, Claude and VS Code, I built a set of design "skills" that run deep UX research, write design tickets and have an agentic product designer draft human-in-the-loop designs for review.

An AI-readable design system and markdown fileset means designers, product owners and AI agents all work from the same source of truth.

Expanded positions blotter with a natural language query asking for all BTCUSDC fills in the past three days above 10m — Ask the blotter: "All BTCUSDC filled within past 3 days above 10m."

From idea to filled order, with nothing in the way.

Outcome

A faster platform and a faster team.

One interaction modelSpot, Perpetuals, Dated Futures and Options share the same ticket, book and blotter patterns.

Conversational tradingPlain-language strategies, chart explanations and blotter queries, with a review step that keeps traders in control.

Risk in the flowScenario analysis and hedge optimisation designed into the order ticket, not a separate tool.

Design skills in useDesigners and product owners use shared design skills and an AI-readable design system.