Staff Product Engineer (Software)

Stealth Startup; Manaus; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A high-growth consumer health tech company is seeking a Staff Product Engineer to play a crucial role in shaping their customer-facing web app. In this position, you will work closely with the Product Designer and Founders to build reliable software that drives customer retention. Responsibilities include overseeing code quality, technical direction, and guiding the engineering team. Candidates should have at least 8 years of full-stack experience, including proficiency in Python and React, and a strong grasp of product analytics tools.

Qualificações

• 8+ years of experience in software engineering, focusing on full-stack applications.
• 4+ years of production-level experience with React.
• Experience with product analytics tools is necessary.

Responsabilidades

• Shape customer-facing web app and own engineering initiatives.
• Collaborate with Product Designer and Founders for technical direction.
• Measure and iterate on product decisions while ensuring reliability and quality.

Conhecimentos

Full-stack development with Python

Production React experience

Event instrumentation experience

Effective communication

Technical direction setting

Comfortable in startup environments

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.