We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.

About the role:

You'll own the entire frontend and product UX, meaning you decide how the product looks, feels, and works. You'll design flows, build the UI, maintain the architecture, and set the quality bar for anything that touches the interface. Backend and AI are covered by a strong team of engineers.

Your focus in the first three months:

• Refactor backend-frontend communication and state management. The current architecture was vibecoded – you'll make it ready for feature scaling.
• Establish a clean design system from existing components.
• Ship token-by-token LLM response streaming to improve perceived performance.
• Design user onboarding from scratch.
• Build a user-friendly error system with clear resolution paths.

Why you should join us:

• Real ownership. You're not implementing someone else's Figma file. You decide how the product looks and feels.
• A small team that ships fast and skips bureaucracy. We benefit from direct feedback from users and quick iteration cycles.
• The backing of JetBrains. We are financially secure, with no reliance on external VC funding.

Who we're looking for:

A design/frontend engineer who can take a vague problem and turn it into a clear, usable, production-ready feature.

What matters most:

• Design-first thinking and UX intelligence over pixel perfection. You care more about whether something makes sense than whether it looks “pretty”.
• Strong product intuition. You notice UX friction, small paper cuts, and architectural smells – and feel responsible for fixing them.
• Prototype-and-ship mentality. You explore options quickly, consider alternatives, choose a direction, and move on.

Required experience:

Tech stack: React, TypeScript (web or desktop applications)

• Strong working knowledge of React and frontend architecture – enough to keep the codebase clean while actively using AI coding tools.
• Experience designing and implementing frontend systems end to end, not just isolated components.
• A portfolio or examples showing full ownership: projects where you designed and built the frontend yourself.
• At least one full year of experience in a startup or fast-moving team.
• Active experience with AI coding tools (Cursor, Claude Code, etc.) with a clear understanding of when they help – and when they hurt.

Nice to have:

We’d be especially excited if you have experience with any of the following (side projects count):

• Product design or product management.
• Electron or desktop app development.
• E2E testing – you’ve written tests yourself or worked closely with test automation.
• Early-stage or 0-to-1 projects where UX quality was critical.
• AI-powered products or LLM-based features.

#LI-HYBRID 
#LI-KT1

We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.

About the role:

You'll own the top of the funnel: outbound, qualification, and getting leads to sit down for a conversation. Demos, onboarding, and retention are staying with the founder for now.

Phase one: Get individual Automation QAs to try the product, aiming for fast adoption and no procurement. Once we hit 20+ weekly users, we’ll move on to phase two, where we’ll shift the focus to B2B – qualified meetings with QA Leads and Engineering Managers.

Your focus in the first three months:

• Build targeted lists: Automation QAs at companies with web products and Playwright, Cypress, or Selenium in their stack.
• Run outbound sequences (LinkedIn is the baseline, but you decide the channels). A/B test weekly.
• Design qualification gates (forms and scoring) to filter leads before the founder calls.
• Reach 20+ weekly active users after month one – ICP-qualified and giving direct feedback to engineering.
• Document what works into a repeatable playbook.

Growth path:

This role expands as your strategies deliver results. Once the user pipeline works, you can take over demos and run B2B sales end to end. From there, the natural next step is Growth Lead (funnel optimization and scaling the playbook) or Account Executive (owning deal execution).

Why to join:

• You'll be building a strategy that scales the product, not filling a quota. What you create from scratch becomes the foundation.
• Your outreach turns into users who talk directly to engineering, and their feedback ships as features within days.
• AI for developer tools is a market with real pull, and QA automation is one of its sharpest pain points.
• We’re backed by JetBrains – financially secure with no reliance on external VC funding.

Who we're looking for:

You should have a high level of agency and be quant-minded – you live in funnel metrics, run experiments, and are comfortable saying "no" to leads that are a bad fit. 

The ideal candidate will:

• Have done 0-to-1 outbound for an early-stage devtool, QA tool, infrastructure product, or similar.
• Have proven cold outbound results, instead of being dependent on warm inbound.
• Be able to talk credibly about flaky tests, CI pain, and Playwright vs. Cypress. You don't need to be an engineer, but you do need domain empathy.
• Possess strong written communication skills, with the ability to craft short, sharp messages that get replies.

Nice to have:

• A QA or SDET background – you've felt the pain yourself before moving to sales or BD.
• Exposure to security/compliance objections – enough to pre-empt and route.
• Content skills – your LinkedIn posts get engagement, not just your DMs.
• Experience as one of the first 10 employees at a startup.

#LI-REMOTE 
#LI-KT1