Staff Product Engineer – Full Stack

🕒 4 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 10%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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CopilotIQ

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🏥 Saúde

☁️ SaaS

🤖 Inteligência Artificial

💰 Series B em 2024-11

Healthcare • SaaS • Artificial Intelligence

A CopilotIQ é uma empresa de saúde movida por IA que fornece uma plataforma de monitoramento remoto de pacientes e engajamento clínico para pessoas com condições crônicas, principalmente diabetes e hipertensão. A empresa combina um motor de análise movido por IA (remoteIQ) com dados longitudinais profundos — biomarcadores, determinantes sociais de saúde, dados comportamentais e adesão a medicamentos — para monitorar os membros em tempo real, fornecer alertas precoces e viabilizar intervenções personalizadas por enfermeiros licenciados e equipes clínicas baseadas nos EUA. A CopilotIQ comercializa sua solução para pagadores (incluindo planos Medicare Advantage) e enfatiza resultados mensuráveis, como redução de visitas ao pronto-socorro, hospitalizações, eventos hipoglicêmicos e hiperglicêmicos, redução de medicamentos e altas taxas de retenção e engajamento. A empresa também opera conforme práticas de privacidade HIPAA e oferece serviços de telemedicina/clinica por meio de entidades médicas afiliadas.

Descrição

• Set technical direction, own system architecture, lead design reviews, and make build, buy, and integration decisions • Shape architecture across pods, including shared services, data models, integration patterns, and platform capabilities • Write production code, solve difficult technical problems, and ship alongside the team • Work with Sales, Clinical, and Operations stakeholders to understand workflows and translate business problems into technical strategy and sequenced plans • Drive the mobile-first member experience • Partner with the product manager and engineering managers on quarterly goals, metrics, roadmap tradeoffs, and prioritization • Define and evolve team practices for AI coding agents, including instructions, specifications, acceptance criteria, testing, CI quality gates, and review standards for patient data, clinical logic, and billing changes • Lead AI-powered product feature design, including model selection, structured outputs, evaluations, fallback behavior, and quality, latency, and cost monitoring • Set reliability and safety standards, including SLOs, observability, incident response, audit trails, feature flags, progressive rollouts, and end-to-end data accuracy • Participate in on-call rotations and incident response • Lead complex multi-system initiatives, including third-party integrations, data flows, and platform migrations, from design through rollout • Mentor engineers through design feedback and code review, and help develop pod leads and future Staff engineers • Communicate technical strategy, tradeoffs, and risks to engineers, stakeholders, and leadership

🎯 Requisitos

• Extensive experience building production software across frontend and backend • Track record of shipping user-facing features and shaping scope • Clear communication with non-engineers and comfort working directly with internal teams • Strong system design skills covering data modeling, APIs, failure handling, observability, reliability, and security by design • Regular use of AI coding assistants with judgment about their limitations • US-based due to work with protected health information • 10+ years of professional software development experience, including designing, building, and operating cloud-based production systems end to end • Experience setting technical direction as an individual contributor for one or multiple teams • Deep system design experience across services, APIs, data models, event-driven workflows, and third-party integrations • Hands-on leadership adopting AI coding agents on production codebases • Experience shipping and operating LLM-powered features in production, including evals and fallback behavior • Experience with prompt and context management, versioned prompts, retries, timeouts, fallbacks, and privacy-preserving logging • Experience handling sensitive data securely, including access controls, encryption, and audit logging • Experience in a startup or similarly fast-moving environment • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience • Strong frontend and backend experience, including deeper expertise in at least one area • Experience with React and production-grade web applications • Experience with Go, Java with Spring Boot, or a comparable backend language and framework • Experience with AWS services such as Lambda, SQS, DynamoDB, and API Gateway • Experience with MongoDB and Redis or comparable data stores • Experience with Docker and Kubernetes • Experience with infrastructure as code such as Terraform, AWS CloudFormation, or AWS CDK • Experience with logging, monitoring, alerting, and observability tooling • Experience with LLM provider APIs, structured outputs, function calling, tool use, streaming, rate limits, timeouts, provider errors, eval suites, tracing, and production monitoring • Experience with AI coding agents such as Claude Code, Cursor, or Codex, plus automated tests, typed interfaces, static analysis, and CI quality gates

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