• Lead the design and development of full-stack solutions, with emphasis on event-driven microservices, APIs, and data platforms • Drive iterative modernization by decomposing monoliths into shared, modular services • Build reusable capabilities aligned with product-centric domain models • Contribute to agentic architectures and intelligent automation that power seamless user experiences • Collaborate with cross-functional teams to deliver measurable business outcomes, not just features • Mentor junior developers and promote best engineering practices • Design, develop, test, and maintain cloud-ready microservices and APIs • Work with streaming data pipelines (Kafka) to enable real-time insights • Apply platform-thinking approaches by building reusable and discoverable capabilities • Ensure quality from the start through automated validation and CI/CD pipelines • Deliver value iteratively, focusing on finishing and deploying features • Partner with product and architecture teams to ensure systems are decoupled, scalable, and SaaS-mature • Use monitoring and feedback loops to drive data-informed improvements • Proactively tackle technical debt while balancing modernization and customer value delivery

• Collaborate with stakeholders to learn about our customers biggest challenges • Measure, inspect, and drive decisions using data • Design, test, code, and instrument new solutions • Strengthen and drive our engineering process with TDD and BDD, Microservice and Vertical Slice Architectures • Support live applications, promote proactive monitoring, rapid incident response, and continuous improvement • Analyze existing systems and processes to identify bottlenecks and opportunities for improvements • Mentor and learn from your peers, foster continuous learning within your team and organization • Become a subject matter expert in your functional area and best practices • Assess unique circumstances and apply creative problem-solving techniques to resolve issues or suggest various approaches • Independently complete work and proactively review with others • Highly self-motivated, take ownership of your work, actively seek out ways to contribute, and require minimal supervision

• Build and scale RESTful APIs and backend services to enhance the Murj platform. • Design and optimize schemas within relational databases to ensure data integrity and performance. • Gain hands-on experience managing and deploying critical AWS infrastructure. • Leverage technical troubleshooting skills to diagnose and resolve platform issues reported by customers and internal teams. • Develop tools that streamline workflows for our internal teams and improve operational efficiency. • Engage in code reviews and team discussions to ensure high-quality delivery and consistent technical standards.

About Reacher Reacher is a YC backed AI SaaS platform building the operating system for TikTok Shop brands and creators. We’re backed by Y Combinator, Pioneer Fund, Rebel Fund, and operators including Steve Huffman (CEO of Reddit), Matteo Franceschetti (CEO of Eight Sleep), Theo Browne (t3.gg), Kulveer Taggar (Zeus Living), and Jake Mintz (Bump). We have years of runway and are scaling fast with some of the biggest brands in the world (UnderArmour, Hanes, Logitech, Goli) Our vision is to become the Hubspot for creator marketing, powering brands and creators to connect and grow across all commerce platforms (Youtube Shopping, Instagram Shopping, Shopify, Amazon). We're building key infrastructure for the creator economy and implementing AI with the world's largest brands and creators. Your work will directly impact users on day 1 - our user base depends on our product daily. We build with AI, not around it. Our engineering team uses Claude Code and agentic coding tools as our primary development environment. If you're spending your days directing AI agents to ship code while you focus on architecture, review, and system design — and you can't imagine working any other way — keep reading. What You'll Do 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 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-Native Development: 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 Technical Skills We Value AI and Agentic Development: Claude Code proficiency: understanding of modes, context engineering (CLAUDE.md), custom commands, MCP integrations, and subagent coordination AI-driven development workflows and effective prompt engineering Ability to decompose complex engineering work into tasks suitable for AI assistance Strong judgment for when to leverage AI vs. when to code directly Experience verifying and reviewing AI-generated code for correctness, security, and maintainability Backend: Python, FastAPI, PostgreSQL System design and scalable architecture GCP/cloud infrastructure API design (REST/GraphQL) Frontend: React, TypeScript, Next.js Tailwind CSS, shadcn/ui State management (Redux, Zustand, React Query) Frontend performance optimization and accessibility (WCAG) General: Testing frameworks (Jest, React Testing Library, Cypress/Playwright) Code reviews, documentation, and establishing conventions Product analytics tools (Amplitude, Mixpanel) for data-driven development Bonus Points If 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 Why Join Us Post-revenue company solving real problems for real customers Be a technical leader —define our engineering culture and standards as we scale High autonomy and visibility —no boring tickets Your code reaches users within days, not months Strong engineering-first culture that embraces cutting-edge AI tools Shape both the product and the company When Applying Please send a short note about a complex problem you solved or a new skill you mastered specifically using an AI-driven workflow . GitHub/LinkedIn/resume is great, but we care more about how you think, build, and leverage AI. If you have examples of projects where AI coding tools were central to your workflow in the last 90 days, we'd love to see them.