• Design, build, and operate Devices Cloud services — device connectivity, telemetry ingest, state management, command/control, and data pipelines — ensuring they are scalable, secure, and reliable at Life360's scale. • Own complete features and subsystems from technical design through production, breaking down complex work, identifying dependencies, and delivering accurate estimates. • Apply AI-native engineering practices day to day: use AI assistants for spec writing, code generation, test coverage, and incident response, and share the prompting strategies that work with the team. • Partner with firmware, mobile, product, and platform teams to define APIs and integration patterns that translate cleanly across the hardware-software boundary. • Lead medium-sized, cross-functional initiatives, coordinating the work of other engineers and keeping delivery on track. • Identify risks, bottlenecks, and security gaps in your areas of ownership, and build in the automation and tests that prevent regressions. • Mentor junior engineers: coach them on structuring changes for review, conduct thorough code reviews, and help grow their skills. • Communicate progress, trade-offs, and technical concepts clearly to peers, partner teams, and your manager. • Write clear, concise technical specifications, and contribute to team documentation and knowledge sharing. • Participate in on-call rotation and contribute to high-severity incident response and post-mortems.

Role Description 99x Brazil is seeking a Senior AI-first Product Engineer to join our growing team. We are looking for engineers who take full ownership of products and features from discovery to production, operate comfortably across the stack, and use AI as a core part of how they design, build, and scale solutions. You will help shape technical direction, work directly with clients and stakeholders, and contribute to the evolution of engineering practices within teams. The ideal candidate has proven experience driving AI adoption and upskilling engineering teams on AI-assisted workflows, while remaining accountable for product quality, performance, and outcomes long after deployment. - Own product features end-to-end, from problem definition and architecture to deployment, monitoring, and continuous improvement - Build AI-driven product experiences and integrate modern AI tools into the engineering workflow - Collaborate cross-functionally with product, design, engineering, and business stakeholders to deliver impactful solutions - Contribute across the stack, including frontend, backend, APIs, integrations, and cloud-based services - Represent the company in technical and commercial discussions with clients, partners, and stakeholders - Drive technical discovery sessions, solution design, and architecture discussions - Mentor and upskill engineering teams on AI-assisted development practices and modern engineering workflows - Optimize applications for performance, scalability, maintainability, and user experience - Write clean, maintainable, well-tested, and well-documented code - Stay up to date with emerging technologies, AI trends, and modern software engineering practices Qualifications - 6+ years of experience in software engineering, with strong expertise in React, Next.js, Typescript, Node or Python - Proven experience building and scaling modern web applications across the full stack - Strong understanding of software architecture, distributed systems, APIs, and scalable application design - Hands-on experience using AI tools and AI-assisted development workflows as a core part of the engineering process - Demonstrated product ownership mindset, with experience leading features or products from discovery to production and beyond - Ability to think from first principles, challenge assumptions, and solve complex business and technical problems - Strong communication and presentation skills, with the ability to represent technical solutions in client-facing and commercial discussions - Proven experience mentoring engineers and driving AI upskilling initiatives within development teams - Solid understanding of modern frontend development practices, component architecture, and responsive design principles - Familiarity with cloud platforms, CI/CD pipelines, monitoring, and modern DevOps practices - Advanced English communication skills, both written and verbal Benefits - Your pick when it comes to employment models: CLT/PJ/Cooperativa - A fully remote work environment with flexible working hours - Bonus for any referrals that we end up hiring

• Design, build, and maintain scalable backend services using C#, .NET, and Microsoft Azure technologies. • Architect and develop secure, reliable, and high-performance APIs that power Franki's products and user experiences. • Collaborate with Product, Design, and Frontend teams to define technical solutions and deliver new features. • Lead technical discussions and contribute to architectural decisions that support long-term scalability and maintainability. • Conduct code reviews and help establish engineering standards, best practices, and development processes. • Optimize application performance, reliability, and scalability across our platform. • Troubleshoot complex technical issues and implement effective long-term solutions. • Champion automated testing, CI/CD practices, and modern software development methodologies. • Evaluate emerging technologies and recommend improvements that enhance engineering efficiency and product capabilities. • Mentor fellow engineers and contribute to a collaborative, high-performing engineering culture.

• Develop, evolve, and maintain applications with a focus on scalability, efficiency, and reliability. • Ensure code maintainability and quality by applying development and architectural best practices. • Actively collaborate in planning, specification, and technical definition of solution enhancements and maintenance. • Participate in estimates, impact analyses, and effort validation for system evolution and support. • Work with a focus on solution sustainability, considering performance, security, and operational cost. • Co-own the quality of the delivered product by participating in code reviews, testing, and continuous improvements. • Produce and maintain technical documentation for developed systems. • Document technical analyses and architectural decisions, justifying technological choices in new releases and delivered improvements.