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Staff Product Engineer (Software)

Stealth Startup

Cachoeirinha

Teletrabalho

BRL 120.000 - 160.000

Tempo integral

Hoje
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Resumo da oferta

A tech-focused health startup is looking for a Staff Product Engineer to shape its customer-facing web application and lead engineering initiatives. The ideal candidate has over 8 years of full-stack development experience, particularly in Python and React, coupled with strong communication skills. This role involves defining technical direction, collaborating with designers, and ensuring product reliability. This position is fully remote with a competitive salary of $60,000 USD annually.

Qualificações

  • 8+ years building full-stack applications with Python and JavaScript.
  • 4+ years of production React experience.
  • Strong product-growth instincts and experience with event instrumentation.

Responsabilidades

  • Define the technical direction together with the Product Designer.
  • Instrument customer events for product analytics.
  • Collaborate on charts and dashboards in PostHog.

Conhecimentos

Full-stack development with Python
Production React experience
Event instrumentation
Communication skills
Architectural tradeoffs
Technical direction setting
Startup environment adaptability

Ferramentas

PostHog
Amplitude
Mixpanel
AWS
GitHub
Descrição da oferta de emprego
Staff Product Engineer (Software)

Location: Brazil (Remote)

Compensation: $60,000 USD / year

Annual Bonus: $6,000 (10%)

Backed By: Top Silicon Valley investors — Y Combinator, Liquid 2, Founder of Instacart, Founder of Reddit

Stage: High-growth consumer health tech subscription product generating $1M / month, compounding 15% MoM

TAM: $29.4B in the U.S. (100M people). ~600M people globally.

Career Growth: As our first full-time Staff Engineer, you will set engineering standards, establish technical direction, and grow the engineering team.

About the Job

As a Staff Software Engineer on Product, you will directly shape our customer-facing web app (tens of thousands of MAU) and own our highest-priority engineering initiatives. You'll partner closely with the Product Designer, both Founders, and lead our engineering team to build reliable software that drives customer retention and product velocity.

You will spend ~75% of your time writing code and ~25% on technical direction, architectural decisions, and collaborating on the product roadmap.

You will operate in a Build → Measure → Learn + Iterate product loop.

About You
  • 8+ years building full-stack applications with Python and JavaScript
  • 4+ years of production React experience
  • Able to translate Figma designs into scalable React / Python implementations
  • Strong product-growth instincts and experience with event instrumentation
  • Skilled with PostHog, Amplitude, Mixpanel, or similar tools
  • Exceptional communicator who builds trust, aligns teams, and drives decisions
  • Staff-level depth: setting technical direction, making architectural tradeoffs, delivering impact
  • Adept at balancing technical debt, infra cost, engineering hours, and time-to-ship
  • Comfortable in fast-paced startup environments where engineers own infra end-to-end
Our Stack
  • Python (FastAPI) — backend
  • TypeScript (React) — frontend
  • Postgres (Supabase)
  • PostHog for product analytics
  • AWS
  • GitHub
What You'll Do
  1. Build
    Work with the Product Designer and Founders to define the technical direction.
    Translate customer feedback and Figma screens into clear technical requirements.
    Break down work across yourself + 2 Full-Stack Engineers + 1 AI Engineer.
    Own architecture, core features, and high-quality implementation.
    Improve reliability, scalability, and maintainability across the codebase.
  2. Measure
    Instrument all necessary customer events inside our web app.
    Ensure PostHog receives clean, reliable data for evaluating retention and feature impact.
  3. Learn + Iterate
    Partner with the Product Designer and CTO to build charts / dashboards in PostHog.
    Extract insights quickly to inform product decisions.
    Ship iterations rapidly and maintain a fast learning cycle.
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