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ProtoPie

No-code prototyping platform for interactive UI

Product Owner

Full-TimeUpdated on 10/24/2026
No salary listed
Senior
Bachelor's
Seoul, South Korea
In PersonHQ in Gangnam, Seoul; working hours are 10 AM–7 PM KST.
ProductProduct Management

About the job

Requirements
  • At least 5 years of product management experience in a technical field, such as Product Owner, Product Manager, or Founder, or a transition into product management from an engineering or development background.
  • Excellent verbal and written communication skills in Korean and English, including the ability to discuss complex technical details with engineers and translate them for non-technical stakeholders.
  • A solid understanding of software development lifecycles, agile methodologies, and system architecture, with the ability to translate product vision into detailed technical specifications and manage a technical product backlog.
  • Proven success operating a commercial service with a large, active user base, owning reliability, performance, and data-driven iteration using relevant tools such as SQL and analytics platforms.
  • A track record of shipping releases through the full go-to-market process, including positioning, pricing and packaging input, launch readiness across Sales, Marketing, and Support, and post-launch performance review.
Responsibilities
  • Define product vision and roadmaps for product initiatives, driving seamless collaboration, sharing, and testing workflows aligned with the company’s overall strategy.
  • Translate user needs, market insights, and business opportunities into product requirements, user stories, and acceptance criteria for product and engineering teams.
  • Prioritize and manage the product backlog, balancing new feature development, user experience enhancements, reliability, technical debt, and scalable architecture.
  • Lead end-to-end delivery of product features, evaluate performance, and drive rapid iteration based on data analytics and customer feedback.
  • Work with engineers on feasibility, trade-offs, architecture decisions, and implementation details, and collaborate with UX, Sales, and Marketing to deliver product experiences.
  • Serve as the primary product expert for internal stakeholders, including Sales and Marketing, on product capabilities and limitations.
Desired Qualifications
  • A Bachelor's degree in Computer Science or a related field, or equivalent experience.
  • Previous experience as a software engineer, solutions architect, or in a similar hands-on technical role.
  • First-hand experience with design and prototyping tools or a similar domain, and a deep understanding of the UX design and prototyping domain in a technically complex B2B Enterprise SaaS context.
  • Hands-on experience with platform-integrated services such as authentication (SSO, OAuth, SAML, and SCIM) and payments and billing (subscriptions, in-app purchase, and PG), including the technical and compliance trade-offs involved.
  • A strong understanding of and curiosity to learn more about technologies related to design and prototyping authoring and Enterprise SaaS.
  • Familiarity with technologies relevant to ProtoPie's technical stack, such as graphics rendering APIs, real-time communication protocols (including WebSockets, Socket.io, and MQTT), JavaScript frameworks, and cross-platform development tools.

About the company

ProtoPie is a no-code tool for creating high-fidelity, interactive prototypes for mobile, desktop, web, and automotive interfaces. It includes ProtoPie Studio (desktop authoring), ProtoPie Player (device testing), and ProtoPie Cloud (sharing and collaboration). It uses a freemium model with a free plan for individuals and students, plus Basic and Pro paid tiers for teams and enterprises. It differentiates by delivering realistic, interactive prototypes within an integrated ecosystem and by targeting specialized verticals like automotive HMI to streamline the design-to-development workflow.

Company Size

51-200

Company Stage

Series B

Total Funding

$39.6M

Headquarters

Seoul, South Korea

Founded

2014

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Simplify's Take

What believers are saying

  • ProtoPie said August 2026 revenue is 85% international, with 35% from North America.
  • Series B funding on January 22, 2025, financed global sales, community, and AI features.
  • Automotive visibility remains strong; June 2026 Aichi Sky Expo demos targeted Mercedes-Benz-style HMI teams.

What critics are saying

  • Figma, Cursor, and AI generators compress ProtoPie's premium interaction moat by 2027.
  • Enterprise buying concentrates in automotive and medtech; budget freezes delay renewals and expansion.
  • If AI-native prototyping tools own handoff and validation, ProtoPie becomes a niche utility.

What makes ProtoPie unique

  • ProtoPie MCP launched July 20, 2026, linking AI prompts to precise interaction logic.
  • ProtoPie User Testing shipped May 7, 2026, keeping validation inside the prototyping workflow.
  • ProtoPie Connect serves automotive and hardware teams needing sensor-driven, multi-device prototypes.

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Benefits

  • Health Insurance
  • Wellness Program
  • Phone/Internet Stipend
  • Professional Development Budget
  • Bereavement Leave

Growth & Insights and Company News

6 month growth

4%

1 year growth

4%

2 year growth

3%
AiThority
Jul 22nd, 2026
ProtoPie launches native MCP support: connecting human precision to the era of AI vibe-coding.

ProtoPie launches native MCP support: connecting human precision to the era of AI vibe-coding. ProtoPie is bridging the gap between natural-language design exploration and precise, agent-ready developer handoff with Studio MCP and Code MCP. ProtoPie, the high-fidelity prototyping standard for global product teams, today announced the launch of native Model Context Protocol (MCP) support. Introducing a dual-pillar system - Studio MCP and Code MCP - ProtoPie is bridging the gap between natural-language design exploration and precise, agent-ready developer handoff. AI is fantastic at helping teams explore wide and generate initial ideas quickly. But speed is meaningless if you can't control the details." - Tony Kim, CEO of ProtoPie THE HIDDEN TAX OF "VIBE-CODING" While generative AI has dramatically accelerated the speed of initial software drafts, product teams are beginning to encounter the hidden costs of relying solely on "vibe-coding" and automated prompting: - The Re-Prompting Token Drain: In chat-based AI design tools, making a minor micro-interaction adjustment (like nudging an animation curve or a gesture threshold) requires constant re-prompting. This burns through API token budgets and risks "AI drift," where the engine accidentally breaks previously approved layouts. - The "Black Box" Validation Trap: Automated code-generation tools make assumptions about state, timing, and edge cases on the team's behalf. Jumping straight to code without validating these logic structures leads to costly, late-stage engineering rewrites. - The Screen-Only Ceiling: Standard AI generators and screen-based design tools are functionally blind to the physical world. They cannot prototype or validate sensor inputs (camera, voice, gyroscopes), cross-device syncing, or physical hardware integrations (Automotive HMI, smart devices, IoT). ProtoPie MCP addresses these limitations directly by introducing a hybrid workflow: use AI to rapidly scaffold ideas, and use ProtoPie's precise, direct-manipulation interaction model to perfect the details - token-free. Jul 22, 2026 Prev Next 1 of 43,305 "AI is fantastic at helping teams explore wide and generate initial ideas quickly. But speed is meaningless if you can't control the details," said Tony Kim, CEO of ProtoPie. "Whether you are fine-tuning a precise mobile swipe gesture, managing complex web logic, or building experiences that span real-world sensors and physical hardware, an AI's conversational guess isn't good enough. ProtoPie MCP establishes a standard protocol where designers retain absolute craft control over system behavior, and developer AI agents receive structured, predictable logic instead of speculative code." TWO PILLARS OF THE PROTOPIE MCP WORKFLOW 1. Studio MCP | The Intelligent Co-Pilot (BYOM) Studio MCP offers a Bring Your Own Model (BYOM) approach to interaction design, allowing designers to hook up their preferred AI assistants (such as Claude Code, Cursor, or Codex) directly to ProtoPie Studio. - Lowering the Floor, Keeping the Ceiling: Designers can use natural language prompts to instantly generate complex trigger-response architectures, dramatically flattening the learning curve for advanced, high-fidelity prototyping. - Token-Efficient Iteration: Teams use AI once to generate the initial interaction structure. From there, they refine the remaining 10% manually on ProtoPie's visual canvas - allowing for endless adjustments to timing, formulas, and variables without consuming additional AI tokens. 2. Code MCP & Dev View | The Automated Handoff Code MCP turns visual interactive prototypes into a structured, machine-readable "source of truth" for engineering AI agents. - Agent-Ready Design Data: Converts complex formulas, variables, and triggers into an open-standard format that AI coding agents (like Claude Code and Cursor) can instantly translate into clean, predictable production code. - Targeted Context via Dev View: Developers can inspect interactions visually within Dev View and copy unique target links to feed specific scenes, layers, or components directly to their AI coding environment. DEFINING BEST PRACTICES IN THE AI ERA Rather than forcing a single, expensive workflow, ProtoPie MCP adapts to your team's budget and operational style - whether you are looking to consolidate your entire pipeline into a single platform or supercharge your existing design stack. Path A: The Unified Platform (The All-in-One Solution) For teams consolidating their tool stack and token budgets onto a single, high-efficiency platform. - Generate Instantly: Import your static designs directly from Figma (or paste layouts straight into Studio). Use ProtoPie AI and Studio MCP to generate complex interactive structures on your canvas using simple natural language. - Polish Token-Free: Once the initial blueprint is generated, bypass the "token tax" of conversational tools. Fine-tune custom swipe gestures, complex conditional states, and variables manually on a visual timeline with zero ongoing API costs. - Validate & Implement: Test the experience on target physical devices via ProtoPie Player or Connect, run built-in usability tests, and translate those verified interactions straight to production code using Code MCP. Path B: The Hybrid Pipeline (Explore Wide, Validate Deep) For teams with the budget to combine generative design tools with surgical interaction validation. - Explore Wide: Use visual AI generators (like Figma Make or Claude Design) to rapidly brainstorm layout directions, draft copy, and explore early visual concepts. - Validate Deep: Bring selected concepts into ProtoPie. Use variables, formulas, and conditional logic to pressure-test how the product actually behaves under real-world conditions before committing developers to code. - Automate Handoff: Pass your verified, machine-readable prototype specs directly to your developer using Code MCP to ensure flawless, framework-aligned deployment.

Associated Press
Jul 20th, 2026
ProtoPie launches native MCP support to bridge AI design exploration with precise developer handoff

ProtoPie has launched native Model Context Protocol support to bridge natural-language design exploration with precise developer handoff. The dual-pillar system comprises Studio MCP and Code MCP. Studio MCP allows designers to connect AI assistants like Claude Code or Cursor directly to ProtoPie Studio using a Bring Your Own Model approach. Teams can use natural language prompts to generate interaction structures, then refine details manually without consuming additional AI tokens. Code MCP converts visual prototypes into machine-readable formats that AI coding agents can translate into production code. The Dev View feature lets developers inspect interactions visually and feed specific components directly to AI coding environments. The system addresses limitations of "vibe-coding," including token costs from constant re-prompting, validation issues from automated assumptions, and inability to prototype sensor inputs or hardware integrations. ProtoPie MCP is available from 20 July 2026.

Associated Press
May 7th, 2026
ProtoPie launches integrated user testing to close validation gap in design workflows

ProtoPie, a high-fidelity prototyping platform, has launched an integrated User Testing feature to eliminate the gap between design prototyping and validation. The new capability allows designers to test prototypes without switching between separate tools or exporting files. The platform captures detailed micro-interaction behavioural logs, including gestures like tilts and long-presses, and tests system-level features such as voice commands and camera integration. User Testing provides synchronised observation with detailed logs generated within 60 seconds and maintains enterprise-grade security by keeping prototypes on ProtoPie's servers rather than third-party platforms. CEO Tony Kim says the integration ensures every design action is backed by evidence. ProtoPie serves over 1.12 million creators across 182 countries, with particular focus on automotive, medtech and aerospace sectors.

EIN News
Jan 22nd, 2025
ProtoPie Secures $21M for Global Expansion

ProtoPie, a prototyping tool startup, raised $21 million in Series B funding to drive global expansion and innovation in high-fidelity interaction design. The round was co-led by LB Investment and Korea Development Bank, with other participants including HB Investment and CJ Investment. ProtoPie plans to enhance customer success, develop a community platform, form strategic alliances, and introduce AI-powered features. The company is trusted by industry leaders like Google and BMW.

EIN News
Sep 10th, 2024
ProtoPie by Studio XID Korea Wins UX Design Awards 2024

ProtoPie, a leading tool in UX prototyping, has been named a winner in the Product category at the UX Design Awards 2024.