About this role.
Maze is seeking a Product Designer to own the end-to-end experience for AI agents used in cybersecurity investigations. The role requires designing new human–AI interaction patterns, data-dense B2B workflows, and a scalable component-based design system. This early-stage, high-autonomy position combines hands-on visual craft with customer discovery, product strategy, and close collaboration with frontend and backend engineers. The successful candidate will have strong B2B SaaS design experience, work comfortably with AI-assisted design tools, and help establish the company’s design standards and future leadership trajectory.
Role DNA
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Job Complexity
5/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
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Core skills
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Cover letter sample
Dear Hiring Team,
I am excited to apply for the Product Designer role at Maze. My experience designing data-dense B2B SaaS products, partnering closely with engineering, and translating customer research into scalable workflows aligns strongly with your mission to make AI-driven security investigations understandable and trustworthy.
I would bring a product-led approach to defining AI-agent interaction patterns, building a robust component-based design system, and validating solutions directly with security users. I am particularly motivated by the opportunity to pair high visual craft with strategic ownership in an early-stage AI and cybersecurity environment.
I would welcome the opportunity to discuss how I can help Maze establish an exceptional product experience and design foundation as the company grows.
Sample interview questions
I start by mapping the user’s decision points, the agent’s confidence, available evidence, and the consequences of action or inaction. I then prototype progressive disclosure: a concise recommendation first, with clear provenance, confidence signals, and drill-down evidence for expert review. I validate the model with representative users to ensure it builds calibrated trust rather than either blind reliance or unnecessary friction.
I use research to identify the underlying workflow, quantify the user and business impact, and frame options with explicit trade-offs. I communicate recommendations through prototypes, evidence, success metrics, and implementation considerations, rather than relying only on subjective design preference. This creates alignment across product, engineering, and leadership while keeping the decision anchored in outcomes.
For a complex investigation interface, I would establish a hierarchy around the primary task: understand severity, assess evidence, decide an action, and track progress. I would use information architecture, typography, grouping, and progressive disclosure to keep critical signals visible while reserving detail for deeper analysis. Usability testing with technical users would verify that density supports fast decisions rather than cognitive overload.
I involve engineers early in problem framing and review technical constraints before designs become fixed. I use shared artifacts such as user flows, states, design tokens, component specifications, and implementation reviews, and I stay engaged through QA after release. This collaboration helps preserve intent while allowing the team to make practical technical trade-offs together.
I would begin by auditing repeated UI patterns, identifying high-value foundational components, and defining tokens for color, spacing, typography, states, and accessibility. I would document usage guidance and partner with engineering to ensure components are implemented, governed, and adopted in the product. Success would be measured through consistency, delivery speed, reduced rework, and the system’s ability to support new AI-agent workflows without one-off solutions.
Summary of the Role:
As a Product Designer at Maze, you’ll define what product design looks like for AI agents in cybersecurity — a problem space where the design patterns don’t exist yet. This is an early-hire role at a well-funded Series A startup building at the intersection of generative AI and security, and you’ll own the product surface end-to-end while working directly with our Head of Product, engineering, and founders.
The product challenge is genuinely new. Our AI agents investigate vulnerabilities autonomously, surface findings with real context, and collaborate with security teams to cut through noise. Your job is to design how humans and agents work together — how trust gets built, how decisions get communicated, how complex security workflows become understandable. There’s no playbook for this. You’ll create one.
This role suits someone who operates closer to a product director than a screen-shipper — driving direction, influencing strategy, and making business-impact calls, alongside the visual craft to deliver them. You’ll be using AI tools daily to move faster, but your craft is the floor: every design choice should hold up on its own merits, independent of how it was generated. Success looks like a design system shipped and adopted across the product, and concrete product outcomes — feature adoption, POC-to-customer conversion, and customer satisfaction with the experiences you ship.
Your Contribution:
Define AI-Agent UX Patterns: Design how security teams collaborate with autonomous AI agents — how investigations get presented, how trust is established, how humans steer the agent without slowing it down. You’re inventing patterns, not applying existing ones.
Drive Product Direction, Not Just Design: Operate as a product-led designer — shaping roadmap, challenging requirements, influencing leadership with research and business reasoning. The bar is “what should we build, and why” alongside “how should it look.”
Own the Product Surface End-to-End: Take features from problem framing through shipped product, working in tight partnership with PMs and engineers — including backend. Run discovery, prototype rapidly, validate with customers, and stay close to implementation. No throwing designs over the wall, no shipping around the engineering team.
Build the Design System: Create and scale a component-based design system that becomes the foundation for everything we ship. Establish patterns for AI-human collaboration that the team can build on as we grow.
Pioneer AI-Assisted Design Workflows: Use AI tools to accelerate ideation, prototyping, and exploration — and develop the methodologies the rest of the team will adopt. Your daily workflow is itself a contribution.
Translate Research Into Design: Run customer research, talk to security teams directly, and turn what you learn into shipped product. Use AI-assisted analysis to move from insight to prototype in days, not weeks.
Set the Quality Bar: Establish what “good” looks like for product design at Maze across craft, consistency, and customer impact — as the foundation for a design team that scales behind you.
What You Need to Be Successful:
Visual Craft for Data-Dense UI: A portfolio that holds up to detailed scrutiny — strong colour theory, deliberate visual hierarchy, considered information architecture for complex workflows. This is the bar, not a nice-to-have. Your interview will dig into specific design choices and why you made them.
Product Design Track Record: 4-7 years of professional product design experience, with shipped work in B2B SaaS. We’re flexible on years; demonstrated craft and clear ownership matter more than time served.
Data-Heavy B2B Interfaces: Direct experience designing for complex workflows, dense data, and technical audiences. Dashboards, investigation tools, developer products, security platforms — the kind of UI where information density and decision support actually matter.
AI as Tool, Not Crutch: You use AI tools (Figma AI, Cursor, v0, Midjourney, ChatGPT/Claude, etc.) as part of your daily workflow and can speak credibly to what they’re good for and where they break down. Critically, every design choice you ship should hold up on its own — AI accelerates your work, it doesn’t substitute for foundational craft.
Product-Strategic Thinking: Track record of driving product direction, not just executing on briefs. You’ve influenced what to build with research, framed problems for leadership, and made business-impact calls — ideally in environments where you operated without a dedicated PM.
Deep Engineering Collaboration: Demonstrable history of shipping work in tight partnership with engineers — including backend. Pairing on implementation, working in design tokens, understanding the systems your designs land in, building consensus rather than shipping around resistance.
Design Systems Experience: Background building or meaningfully contributing to a design system in a production product. You think in components, tokens, and patterns, not one-off screens.
Customer-Led Approach: Comfortable running discovery directly with users, synthesising what you hear, and using that to make calls about what to build. You don’t wait for research to be handed to you.
Nice to haves:
Experience designing for cybersecurity, developer tools, or other technical product domains
Background designing agentic or AI-native product experiences (not just AI features bolted onto existing products)
Early-stage startup experience where you’ve operated without a manager or established design function
Why Join Us:
Define a New Design Space: AI agents in security is a genuinely new problem. The interaction patterns, trust models, and workflows don’t exist yet — you’ll create them. The work you do here will influence how this entire category gets designed.
Fast-Track to Design Leadership: This is a founding-trajectory role and we’re hiring for someone who wants a long-term home, not a stepping stone. As the team scales, the natural path is IC → Lead → Head of Design. If you have leadership ambitions, you’ll have the runway to grow into them. If you’d rather stay deeply hands-on, the IC scope grows with the product.
Ambitious Challenge: We’re using generative AI (LLMs and agents) to solve one of the most pressing problems in cybersecurity — the gap between vulnerability findings and meaningful action. You’ll be designing at the cutting edge of this field.
Expert Team: Work alongside hands-on leaders with experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO.
Impactful Work: Cybersecurity is a force for good. The experiences you design will directly affect how security teams protect organisations worldwide.
Build an AI-Native Company: We’re building a new company in the AI era with the opportunity to design everything from the ground up — including how the design function itself works. You’ll help pioneer AI-assisted design practices and set new standards.
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