Full-Stack Product Engineer

Full-Stack Product Engineer Location: Remote Compensation: US$5,000 per month + performance bonus tied to shipped deliverables and product impact About the role: We are hiring a Full-Stack Product Engineer to build, ship, and iterate on our company-investor matchmaking platform and internal apps. You will own features end to end, from problem and spec to code, launch, and measurement. You will also have the opportunity to lead a small team of developers and designers as we scale. What you will do: Own product features from problem to launch. Write specs, design simple flows, implement front end and back end, test, ship, and measure. Lead or co-lead a small, cross-functional pod of developers and designers. Set priorities, review work, unblock issues, and ensure on-time delivery. Build a fast and reliable platform. Plan data models, APIs, middleware, and services for performance, security, and scaling. Ship quickly and iterate based on data and user feedback. Define success metrics, instrument analytics, run experiments, and improve retention and conversion. Automate operational workflows into robust internal tools. Apply AI where it adds clear product value. Establish a tight user feedback loop. Capture insights from users and the team and turn them into improvements. Partner with growth on SEO. Ensure architecture, rendering, performance, and metadata support organic traffic goals. Maintain quality. Write readable, tested code, review PRs, monitor performance, and resolve production issues. Our current stack: You are free to choose the best tools for the job. For context, we currently use: Languages: Python and TypeScript Front end: Next.Js Back end: FastAPI (Python) Data: Google BigQuery and Cloud Storage Infra: Google Cloud Platform, Docker Version control: GitHub Authentication: Firebase Required qualifications: 3 to 4+ years building and shipping full-stack products in production. Strong understanding of high-level systems and product engineering concepts, including: Database schema design and data modeling Caching strategies and performance optimization Authentication, authorization, and session management API design and integration Servers, deployment, and horizontal scaling Middleware patterns and request lifecycles Application and data security fundamentals Observability basics, including logging and monitoring Product mindset. Comfortable defining problems, scoping MVPs, and measuring impact. Clear written and verbal communication. Preferred qualifications: Experience leading or mentoring a small engineering or cross-functional team. Experience with SEO-aware architectures. Familiar with indexing, structured data, sitemaps, Core Web Vitals, and server-side rendering trade-offs. Practical use of AI tools in development or integrating AI services into products with an understanding of risks and evaluation. Familiarity with CI and CD, automated testing, and basic security reviews. Experience designing and running user feedback flows, including surveys, interviews, or in-product prompts. Success in the first 90 days: Ship at least two user-facing improvements that move a core metric such as match quality, conversion, or time to value. Replace one manual workflow with an internal tool or automation used regularly by Ops or Execution team. Set up simple dashboards for your features and a lightweight release checklist. Compensation and incentives: US$5,000 per month base Performance bonus tied to shipped deliverables, product quality, and metric movement How to apply: Email your CV and links to shipped products or code samples to with subject Full-Stack Product Engineer . Include a short note describing a product you owned, what you shipped, and the metric you improved.