Full-stack Product Engineer

Full-Stack Product Engineer

Location:

Compensation:

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:

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