Product designer в AI security

Snyk

United States

Remote

USD 140,000 - 200,000

Full time

2 days ago
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Job summary

Snyk Ltd. ищет опытного дизайнера продуктов для создания следующего поколения AI‑security платформы. Вы будете формировать проблему, исследовать сценарии использования и проектировать интерфейсы взаимодействия агентов для разработчиков, включая CLI, IDE и веб‑интерфейсы.

Требуется 8+ лет опыта в дизайне для разработчиков, портфолио сложных рабочих процессов и сильное системное мышление. Вы будете вести прототипирование с использованием AI‑инструментов, проводить воркшопы и сотрудничать с

Qualifications

  • 8+ лет в дизайне продуктов с упором на разработчиков.
  • Портфолио готовых работ для технических пользователей.
  • Умение вести end-to-end дизайн и переход между стратегией и деталями.
  • Наличие прототипов и инструментов AI‑помощников.

Responsibilities

  • Определять дизайн-стратегию end-to-end для AI‑security продукта.
  • Задавать направление опыта взаимодействия агентов: действия, объяснения, доверие.
  • Прототипировать в коде с AI‑инструментами и тестировать на реальных пользователях.
  • Проводить воркшопы и спринты с кросс‑функциональными командами.

Skills

Дизайн для разработчиков
AI‑проектирование
Системное мышление
Презентации стейкхолдерам

Tools

Claude Code
Cursor

Job description

Описание:

Snyk is building the next generation security platform where security isn't a set of tools people operate. It's a team of security agents working alongside your engineers, finding, fixing, and governing risk at the speed software is now built. These agents work alongside both the company build and the agents they adopt. Security stops being a queue of work waiting for people, and becomes a coordinated workforce companies direct and trust.

Задачи:

Own design end to end for a zero-to-one AI security product: problem framing, research, interaction model, and shipped UI. Set the direction for the agent experience: how security and engineering teams hand off work to agents, follow progress, step in, and approve what agents produce. Define AI interaction patterns (agent actions, confidence, explanations, human-in-the-loop controls) that earn developers' trust. Design for where developers actually work: CLI, IDE, pull requests, and AI coding agents, as well as the web. Frame problems nobody has named yet. Research strategic questions, not just usability ones, and write up answers product and engineering can act on. Model the system: agents, workflows, policies, findings and fixes, and how they relate. Name the gaps between teams instead of working around them. Prototype in code with AI tools (e.g. Claude Code, Cursor), explore many directions quickly, and test with real users within days. Ship production code alongside engineering: raise PRs with code from a coding agent, using our design system components, instead of handing off static files. Lead workshops and sprints that align product, engineering and security research when the direction is unclear. Raise the AI fluency of the wider design team through coaching, shared tools and example workflows.

Требования:

8+ years in product design, with significant time spent designing for developers: dev tools, security, cloud, infrastructure, or APIs. A portfolio showing shipped work for technical users, including complex workflows and enterprise constraints. End-to-end craft: interaction design, information architecture and visual polish, with the systems thinking to turn new patterns into reusable ones. You move between strategy and pixel-level detail. An AI-native workflow you can show: working prototypes, tools or agents you've built with coding agents in the last 6 months and put in front of users, not just prompts. Strong judgement on agent UX: when to automate and when to ask, how to show reasoning and uncertainty, how people review, approve and step in, and how to recover when an agent gets it wrong. Clear storytelling with executives, engineers and customers alike.

Будет плюсом:
  • Domain experience in application security, software supply chain security, or AI and agent security: MCP servers, prompt injection, AI governance
  • PRs opened to a production codebase using code from a coding agent
  • Agents, skills, MCP servers or AI workflows you've built yourself, at work or on the side
  • Shipped work on orchestration, observability or governance products
Условия:

From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk.

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