
201 - 500 funcionários
📣 Marketing
💼 Consultoria
🤖 Inteligência Artificial
💰 $25.000.000 Series E em 2022-04
Marketing • Consulting • Artificial Intelligence
A Conversica é um provedor líder de soluções de Automação de Conversas, utilizando assistentes digitais avançados movidos a IA para realizar diálogos de mão dupla e gerar oportunidades de receita nas equipes de marketing, vendas e sucesso do cliente. Sua plataforma aproveita o processamento de linguagem natural e modelos de linguagem extensos, incluindo o GPT, para simular conversas semelhantes às humanas, ajudando a identificar e nutrir leads, reativar oportunidades e manter relacionamentos com os clientes. A Conversica se integra perfeitamente aos conjuntos de tecnologia existentes, permitindo que as empresas escalem seus esforços e liberem receitas ocultas em vários setores.
🕒 Junho 18
🇺🇸 Estados Unidos – Remoto (EUA)
⏰ Tempo Integral
🔴 Especialista
🔙 Engenheiro Backend
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

201 - 500 funcionários
📣 Marketing
💼 Consultoria
🤖 Inteligência Artificial
💰 $25.000.000 Series E em 2022-04
Marketing • Consulting • Artificial Intelligence
A Conversica é um provedor líder de soluções de Automação de Conversas, utilizando assistentes digitais avançados movidos a IA para realizar diálogos de mão dupla e gerar oportunidades de receita nas equipes de marketing, vendas e sucesso do cliente. Sua plataforma aproveita o processamento de linguagem natural e modelos de linguagem extensos, incluindo o GPT, para simular conversas semelhantes às humanas, ajudando a identificar e nutrir leads, reativar oportunidades e manter relacionamentos com os clientes. A Conversica se integra perfeitamente aos conjuntos de tecnologia existentes, permitindo que as empresas escalem seus esforços e liberem receitas ocultas em vários setores.
• Set the technical direction for Conversica's backend platform, owning architecture decisions that span integrations, data, messaging, and orchestration across the entire system • Drive cross-functional initiatives that touch multiple engineering teams, partnering with AI Engineering, Product, and Integrations leadership to shape platform strategy and roadmap • Define and evolve org-wide engineering standards for backend service design, data modeling, integration patterns, observability, and operational excellence • Identify systemic reliability, scalability, and performance risks across the platform and lead the engineering response • Mentor senior and mid-level engineers across the backend organization, raising the technical bar through design reviews, written technical guidance, and pairing on hard problems • Represent the backend platform in technical strategy discussions with executive leadership and contribute to multi-quarter roadmap planning • Build and ship production code yourself; this is a hands-on individual contributor role, not a pure architect role
• Equivalent of 8+ years of professional software engineering experience with significant focus on backend platform, integrations, or data infrastructure - including hands-on responsibility for systems running in production at scale. • Track record of leading cross-team or org-wide technical initiatives from conception through production, including the soft work of building consensus and unblocking other engineers • Proven experience deploying and operating production backend systems at scale • Strong proficiency in Python, including production experience with FastAPI, Celery, and similar async/queue-based frameworks • Deep experience with Postgres including schema design, query optimization, and operating Postgres in production • Experience working with large datasets and navigating real-world data quality challenges across heterogeneous source systems • Experience setting engineering standards (service design, data architecture, operational practices) that other engineers adopted and built on • Experience designing and operating integrations with third-party SaaS systems including handling rate limits, schema drift, and partial failures • Strong background in modern cloud-based architectures, particularly AWS • Active use of modern AI coding tools (Claude Code, OpenAI Codex, Cursor, or similar) as part of your development workflow
• Health, dental, and vision benefits • PTO • Holiday pay • 401(k) • Equity
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