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Brasil
Remote only
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Product based in Brazil.
Join a fast-growing, technology-driven marketplace transforming how customers access home services through innovative digital products. As a Staff Software Engineer, you will lead product initiatives end to end, from defining problems and shaping technical solutions to launching features and measuring business impact. You will partner closely with product managers, designers, and fellow engineers, combining technical leadership with strong product judgment. AI-powered coding agents will be central to your workflow, enabling you to accelerate development while maintaining high standards for security, reliability, and performance. With significant autonomy over architecture and implementation, you will help a lean engineering team deliver meaningful results at scale. This remote opportunity is ideal for an experienced engineer who thrives on ownership, experimentation, and measurable customer outcomes.
Lead the technical direction of product initiatives, including architecture, data modeling, integrations, observability, deployment strategies, and rollback planning.
Own the full product development lifecycle, from problem definition and technical planning through implementation, production release, and post-launch performance evaluation.
Use AI coding agents to accelerate software development, designing effective prompts, guardrails, evaluation workflows, testing strategies, and review processes to ensure production-ready code.
Maintain high engineering standards across security, performance, reliability, maintainability, and user experience, regardless of whether code is written by AI agents or engineers.
Make independent technical decisions, document architectural choices, seek peer input when appropriate, and involve architecture reviewers for significant decisions.
Collaborate closely with product managers and designers to prioritize opportunities, define scope, assess trade-offs, and deliver solutions aligned with customer needs and business objectives.
Work alongside engineering peers in a shared codebase, contributing technical expertise and ensuring alignment across interconnected initiatives.
Take accountability for initiative-level outcomes, working with product partners to track key metrics such as conversion, retention, professional service-provider engagement, and unit economics.
Conduct post-launch reviews two to four weeks after release to evaluate results, identify lessons, and determine whether the initiative achieved its intended impact.
Establish reusable AI development workflows, evaluation tools, runbooks, documentation, and best practices that improve engineering effectiveness across teams.
Identify and address potential regressions through comprehensive tests, monitoring, staged rollouts, and appropriate quality-control measures.
Deliver customer- and service-provider-focused improvements in a live marketplace environment, ensuring that technical decisions translate into tangible business and user benefits.
Extensive software engineering experience operating at a staff or lead level, with a proven ability to make important technical decisions, deliver complex initiatives, and take responsibility for their outcomes.
Strong, hands-on experience using AI coding agents in daily production development, such as Claude Code, Cursor, Codex, or equivalent tools.
Demonstrated ability to direct AI agents through effective prompting, context management, evaluation, testing, and code-review workflows, while maintaining ownership of the resulting code.
Deep technical expertise in at least one relevant technology stack, supported by credible experience delivering and maintaining production software.
Experience with one or more of the following technologies: PHP and Laravel; TypeScript, React, or React Native; data platforms such as Redshift, dbt, Segment, and Airflow; or infrastructure and observability tools such as AWS, Datadog, Sentry, and GitHub Actions.
Strong understanding of software architecture, data modeling, system integrations, testing, deployment strategies, security, performance optimization, and production observability.
Proven ability to lead initiatives independently, make timely and well-documented technical decisions, and balance autonomy with collaboration and appropriate review.
Product-oriented mindset, with the ability to translate business goals and customer needs into technical solutions and prioritize work based on measurable impact.
Experience partnering effectively with product managers, designers, and engineering colleagues in cross-functional teams.
Strong analytical and critical-thinking skills, including the ability to interpret performance metrics, evaluate outcomes, and use data to guide future decisions.
Ability to develop reusable engineering practices and documentation that improve productivity and technical quality beyond individual projects.
Customer-focused approach, with an appreciation for the needs of both marketplace customers and service professionals.
Excellent communication, collaboration, ownership, and problem-solving skills.
Comfortable working in a fast-paced environment that values experimentation, continuous improvement, accountability, and high-quality delivery.
Interest in an individual-contributor role with technical leadership responsibilities; people management is not required.
Competitive annual base salary of USD $85,000–$125,000.
Fully remote work arrangement, with the flexibility to work from anywhere.
High ownership and autonomy over technical decisions and product initiatives.
Opportunity to work with modern AI coding agents and help shape AI-assisted software engineering practices.
Fast-moving, collaborative environment that encourages building, learning, and professional growth.
Opportunity to influence products used by customers and service professionals in a substantial, active marketplace.
Scope to expand technical leadership and contribute reusable tools, workflows, and engineering standards across teams.
Potential pathway into people management for those interested in exploring management responsibilities in the future.
