Desenvolva e mantenha funcionalidades e sistemas críticos em C#, monitore seu desempenho em produção e contribua para soluções seguras, escaláveis e resilientes em uma equipe de engenharia de crédito.
Content Engineer
📜 Description
- Design, build, test, document, and improve end-to-end AI-powered content workflows from research and ideation through quality assurance and delivery.
- Create scalable production systems across approximately 1–6 clients, translating business goals and channel strategies into repeatable workflows.
- Convert brand guidelines, tone, voice, and editorial standards into prompt logic, system parameters, and evaluation criteria.
- Evaluate AI-generated content for accuracy, originality, relevance, bias, brand alignment, and editorial quality.
- Build low-code automations and API-connected workflows to reduce manual work and increase production throughput.
- Test emerging AI models and content technologies, document findings, and help establish responsible practices.
🛠️ Requirements
- 2-3 years of experience in copywriting, content marketing, editorial, content strategy, or a related creative discipline.
- Examples of end-to-end workflows, agent architectures, prompt logic, automation trees, or output evaluation frameworks you have built.
- Strong command of language, structure, grammar, storytelling, and persuasive communication.
- Experience designing evaluation criteria, guardrails, and quality-control processes for AI output.
- Hands-on experience building multi-step AI content workflows or agents using tools such as Make, n8n, Zapier, OpenAI APIs, Claude, or custom GPT frameworks.
- Ability to explain prompting, evaluation, and improvement processes, including where human judgment is needed.
- Working familiarity with analytics, SEO, keyword research, and social listening tools such as Google Analytics, Google Search Console, Semrush, and Hootsuite.
- Strong client-facing communication, presentation, collaboration, and feedback-management skills.
✨ Benefits
- Unlimited PTO
- Extended winter holiday break
- Flexible schedules
- 100% paid parental leave
- 401(k) matching
- Medical insurance
- Dental insurance
- Vision insurance
Full job description
Wpromote x Giant Spoon is looking for a Content Engineer to design, build, and continuously improve the AI-powered systems behind modern content production. This is an AI systems and workflow engineering role—not a traditional copywriting or content creation role. You’ll report to the Associate Director of Content Operations and help clients create better content faster by bringing together human judgment, brand intelligence, performance insights, and modern AI-powered workflows.
You’ll own the systems that move content from initial insight through final delivery. You will design, build, test, document, and continuously improve AI-powered production workflows that enable our teams to create high-quality content at scale. You’ll work across a diverse portfolio of clients and industries, quickly learning new audiences, business models, brand voices, and regulatory considerations.
You Will Be
- Designing end-to-end AI-powered content production workflows spanning research, ideation, strategy inputs, briefing, drafting, optimization, editing, quality assurance, repurposing, and delivery
- Building scalable content systems across a portfolio of approximately 1–6 clients. You will collaborate with Content Marketing and Digital PR managers to translate business goals and channel strategies into automated, repeatable workflow pipelines.
- Leveraging your strong editorial background not to write content yourself, but to define quality benchmarks and build automated guardrails, brand alignment checks, and evaluation rubrics.
- Translating each client’s positioning, brand guidelines, tone, voice, and editorial standards into prompt logic, system parameters, and evaluation criteria with high accuracy.
- Building workflow infrastructure through reusable prompt chains, automated agents, evaluation criteria, and editorial guardrails that improve speed, consistency, quality, and scale across accounts
- Evaluating AI-generated work for accuracy, originality, relevance, bias, brand alignment, and editorial quality before it reaches a client or audience
- Engineering workflows that ingest complex source materials, performance data, and research to feed structured inputs into production systems.
- Identifying friction in content production and building low-code/automated solutions (e.g., via n8n, Make, Zapier, or API connections) that eliminate manual labor and scale throughput
- Testing emerging AI models and content technologies, documenting what works, and helping establish responsible best practices across the organization
- Managing multiple projects and competing priorities in a fast-paced agency, consultancy, publishing, or in-house marketing environment
You Must Have
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