• Architect Next-Gen AI Data Infrastructure • Design scalable, future-proof data platforms optimized for AI research workloads • Build efficient self-serve data processing pipelines leveraging GCP's advanced services • Optimize resource allocation for maximum training efficiency • Lead adoption of cutting-edge ML tools and frameworks • Streamline existing workflows while introducing new tooling • Identify and eliminate technical bottlenecks

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Software Engineer, Full Stack, you will be instrumental in architecting, building, and scaling both backend systems and user-facing experiences that power our LLM-driven coaching platform. You will ship features end-to-end - from designing resilient APIs and integrating models to delivering polished interfaces in the browser - while collaborating closely with cross-functional partners in product, design, and infrastructure. This is a ground-floor opportunity to shape a category-defining product used by enterprise customers worldwide. - Full stack architecture, development, and optimization of features spanning backend, AI/model integration, and frontend interfaces. - Designing for scale, performance, and security in enterprise environments. - Debugging across the stack - from model behavior and backend services to UI logic and client performance. - Collaborating with product, design, and operations to deliver delightful, resilient user experiences. - Helping evolve the engineering culture, tooling, hiring, and technical roadmap as the team grows. Qualifications - Strong full stack experience: you have shipped production-grade systems involving both backend and frontend components, and you’re comfortable owning APIs and user experiences end-to-end. - Technical breadth/ Engineering skills: deep proficiency with Python (Django preferred) or similar languages for backend; strong JavaScript skills and familiarity with modern frameworks (e.g., React, Vue). - Frontend craftsmanship/ UX obsessed: experience building responsive, high-performance UI with attention to usability and scale. - Enterprise-grade thinking: you build for scale, performance, security, and maintainability in large, distributed environments. - Builder at Heart: you’ve architected and shipped production-grade, user-facing systems. You balance polish with speed, knowing when to prioritize craftsmanship and when to push scrappy experiments to learn fast. - Versatility and pragmatism: you balance sound architectural decisions with a willingness to prototype and iterate quickly when needed. - Customer-Centered & Product-Focused: you care as much about usability, accessibility, and adoption as you do about code quality. You think beyond “does it work” to “does it work for the user, at scale, and in enterprise environments.” - Startup fluent: you thrive in ambiguity, value momentum over perfection, and enjoy wearing multiple hats. Requirements - Build and extend critical backend services: architect APIs, integrate LLMs and related services, and optimize server-side systems for performance and reliability. - Develop polished frontend experiences: craft intuitive UI flows, ensure accessibility and responsiveness, and manage data flow between frontend and backend. - Own end-to-end delivery: from scoping requirements, writing tests, deploying code, to monitoring and observability in production. - Collaborate deeply: work across product, design, data, and infrastructure to solve real user problems and accelerate delivery. - Drive best practices: help shape engineering standards, CI/CD automation, observability, and performance benchmarking. - Mentor and grow: support team members through code reviews, technical discussions, and institution of scalable practices. Benefits - Ownership & Rapid Growth: Outsized missions from day one, with direct responsibility for company-defining projects. - Work alongside the executive team with transparency into strategy and decision-making. - Influence on direction through real-time customer feedback and market insights. - AI-First Operator: Work directly with cutting-edge AI models and next-generation platforms. - Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries. - Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale. - Competitive salary including base + bonuses. - Comprehensive health coverage (medical, dental, vision) from day one. - Generous PTO, company-wide R&R shutdowns, and paid parental leave. - Retirement plan support for US and global employees. - Meaningful ownership in a venture-backed company at a growth inflection point. - Financial upside that comes from scaling fast. - Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact. - A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together. Location and Work Environment This role can be either remote or hybrid from our offices in New York or Toronto. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. Employment Verification & Commitment We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment.

• Atuar de ponta a ponta no ciclo de vida das soluções, desde a ingestão e tratamento dos dados até o desenvolvimento, execução, monitoramento e evolução contínua dos modelos de otimização em ambiente AWS cloud. • Implementar e monitorar pipelines de ingestão e processamento de dados. • Desenvolver processos de ingestão via AWS Lambda (Ingestor). • Gerenciar dados em S3 (Landing e Output). • Disponibilizar dados para consulta e análise via Amazon Athena. • Desenvolver, manter e evoluir modelos de otimização baseados em Algoritmos Genéticos.

• Own new product initiatives end-to-end from problem definition to launch • Shape the roadmap, evaluate and prioritize ideas • Bridge disciplines: think like a product manager, act like an engineer • Build quick prototypes and work closely with engineers and stakeholders • Communicate clearly and proactively in a remote-first environment • Collaborate across functions: align with Sales, Marketing, UX/UI, QA, and leadership