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Staff Product Engineer (Software)

Stealth Startup

Teletrabalho

BRL 321.000

Tempo integral

Hoje
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Resumo da oferta

A high-growth consumer health tech company is seeking a Staff Product Engineer (Software) to shape their customer-facing web application. The role involves writing code, making technical decisions, and collaborating closely with the Product Designer and Founders. Candidates should have extensive experience in full-stack development using Python and JavaScript, with strong skills in React. This position offers the chance to lead engineering initiatives in an innovative startup environment, with a competitive salary and annual bonus.

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.
  • Exceptional communicator who builds trust and aligns teams.

Responsabilidades

  • Define the technical direction with the Product Designer.
  • Instrument customer events for product analytics.
  • Collaborate with the team to ensure a fast learning cycle.

Conhecimentos

Python
JavaScript
React
PostHog
Amplitude
Mixpanel
Technical communication
Product growth instincts
Full-stack applications

Ferramentas

FastAPI
TypeScript
Postgres (Supabase)
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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