Responsibilities
- Oversee and direct product features from inception to delivery, including research, design, implementation, testing, and deployment.
- Influence and define engineering architecture, setting benchmarks for code quality, testing, and development practices across the stack.
- Guide and support other engineers in adopting AI-native workflows, establishing best practices and patterns.
- Engage directly with customers to translate vague requirements into refined user experiences.
- Develop scalable backend systems using Python, FastAPI, PostgreSQL, and GCP.
- Create responsive and engaging user interfaces with React, TypeScript, Tailwind, and shadcn/ui.
- Write clean, maintainable, and testable code with minimal supervision.
- Drive architectural decisions and engineering processes to maximize AI-assisted development speed.
- Operate in a high-urgency environment, focusing on rapid delivery and continuous learning.
Requirements
- 2–6 years of professional full-stack experience at a product-focused company or high-level tech environment, with senior-level ownership expected.
- Proficient in building features across the entire stack, from schema design and backend APIs to pixel-perfect, accessible frontend.
- Deep commitment to product, design, and user experience, not just coding.
- Experience owning a significant project end-to-end, such as a product module, infrastructure refactor, or major feature launch.
- Ability to set standards for engineering quality and architectural decisions in an AI-native environment.
- Resourceful and comfortable in ambiguous environments, with a strong ability to work independently.
- Strong product intuition and the ability to push back on requirements to improve outcomes.
- Deep understanding of modern coding tools, specifically Claude Code, and proficiency with its various modes.
- AI-driven problem-solving approach, leveraging AI tools and workflows as the default method.
- Strong systems thinking and architectural awareness, directing AI to build while architecting, reviewing, and verifying.
- Recent AI-native work experience, with meaningful projects shipped in the last 90 days using AI coding tools as the primary development environment.
- Proficiency in Python, FastAPI, PostgreSQL, GCP/cloud infrastructure, and API design (REST/GraphQL).
- Experience with React, TypeScript, Next.js, Tailwind CSS, shadcn/ui, and state management (Redux, Zustand, React Query).
- Knowledge of frontend performance optimization, accessibility (WCAG), and testing frameworks (Jest, React Testing Library, Cypress/Playwright).
- Experience with code reviews, documentation, and establishing conventions.
- Familiarity with product analytics tools (Amplitude, Mixpanel) for data-driven development.
Nice to Have
- Experience building autonomous agents with the Claude Agent SDK or similar agentic frameworks, understanding multi-agent orchestration, MCP integrations, and production agent deployment.
- Experience with AI image/video generation or manipulation, familiarity with tools like Midjourney, Runway, Stable Diffusion, Sora, or integrating generation APIs into product workflows.
- Experience at an early-stage startup or as a first/early engineering hire.
- Building internal tooling, dashboards, or systems that scaled to thousands of users.
- Leading technical initiatives or mentoring junior engineers.
- Building or maintaining design systems.
- Interest in AI, e-commerce, or automation.
- Shipping side projects or contributing to open-source.
- Direct experience working with designers and contributing to design discussions.
Benefits
- Post-revenue company solving real problems for real customers.
- Technical leadership role defining engineering culture and standards as the company scales.
- High autonomy and visibility, with no routine tasks.
- Code reaching users within days, not months.
- Strong engineering-first culture embracing cutting-edge AI tools.
- Influence on both the product and the company's direction.
Compensation
Not specified
Work Arrangement
Remote
Team
Small, high-impact team
Responsibilities
- Own and lead product features end-to-end: research, design, implement, test, and ship
- Lead and shape engineering architecture - set standards for code quality, testing, and development practices across the stack
- Mentor and guide other engineers in adopting AI-native workflows, establishing best practices and patterns
- Talk directly to customers and translate vague requirements into polished user experiences
- Design scalable backend systems (Python, FastAPI, PostgreSQL, GCP)
- Build responsive, delightful UIs (React, TypeScript, Tailwind, shadcn/ui)
- Write clean, maintainable, and testable code with minimal oversight
- Drive architectural decisions and engineering processes that maximize AI-assisted development velocity
- Ship fast and learn fast - high urgency environment
Required
- 2–6 years of professional full-stack experience at a product-first company or FAANG-level environment (Senior SDE ownership expected)
- Comfortable building features across the entire stack—from schema design and backend APIs to pixel-perfect, accessible frontend
- Care deeply about product, design, and user experience—not just code
- Have owned something meaningful end-to-end (a product module, infrastructure refactor, major feature launch)
- Can set standards for engineering quality and architectural decisions in an AI-native environment
- Resourceful and thrive in ambiguous environments—you figure things out independently
- Have strong product intuition and can push back on requirements when needed to improve outcomes
- AI coding experience is your most important and necessary skill - you have deep understanding of modern coding tools, specifically Claude Code, and are proficient with its various modes (Interactive, Plan, Headless, Agent Teams, Delegate)
- You're 'AI-pilled' when it comes to problem-solving - you tackle any new problem, skill, or architectural challenge by leveraging AI tools and an AI-driven workflow. This is your default approach, not an experiment
- Strong systems thinking and architectural awareness - you direct AI to build while you architect, review, and verify. You know when AI output is correct and when it needs correction
- Can demonstrate recent AI-native work - you've shipped meaningful projects in the last 90 days where AI coding tools were your primary development environment
- Python, FastAPI, PostgreSQL
- System design and scalable architecture
- GCP/cloud infrastructure
- API design (REST/GraphQL)
- React, TypeScript, Next.js
- Tailwind CSS, shadcn/ui
- State management (Redux, Zustand, React Query)
- Frontend performance optimization and accessibility (WCAG)
- Testing frameworks (Jest, React Testing Library, Cypress/Playwright)
- Code reviews, documentation, and establishing conventions
- Product analytics tools (Amplitude, Mixpanel) for data-driven development
Preferred
- Experience building autonomous agents with the Claude Agent SDK or similar agentic frameworks—you understand multi-agent orchestration, MCP integrations, and production agent deployment
- Experience with AI image/video generation or manipulation - familiarity with tools like Midjourney, Runway, Stable Diffusion, Sora, or integrating generation APIs into product workflows
- You've worked at an early-stage startup or been a first/early engineering hire
- You've built internal tooling, dashboards, or systems that scaled to thousands of users
- You've led technical initiatives or mentored junior engineers
- You've built or maintained design systems
- You're curious about AI, e-commerce, or automation—we work in that space
- You've shipped side projects or contributed to open-source
- You've worked directly with designers and can contribute to design discussions
Not specified
