Role Description We are looking for a highly adaptable, AI-native Marketing, eCommerce & CRO Specialist to help Lifely move faster, scale smarter and improve how we acquire, convert and retain customers. This role sits at the intersection of: - AI adoption - Marketing execution - eCommerce growth - CRO - Website performance - Customer experience - Commercial delivery You will work across campaigns, product launches, Shopify improvements, landing pages, CRO tests, customer journeys, reporting, AI workflows, automation, creative testing and performance insights. The right person will be highly strategic, but also extremely hands-on. We do not need someone who only talks about ideas. We need someone who can take a problem, break it down, create a plan, communicate it clearly, execute it properly and show the result. This is not a comfortable “business as usual” marketing role. At Lifely, priorities move quickly. Campaigns go live fast. Website updates need to be briefed, tested, QA’d and deployed properly. CRO ideas need to become experiments. Customer insights need to become better product pages. AI tools need to become real workflows, not just nice concepts. You will be expected to work across multiple moving parts and keep quality high. We are looking for someone who can: - Think strategically, but still deliver the work - Use AI to increase output, not just generate content - Communicate clearly with marketers, developers, designers and operators - Own projects from idea to execution - Improve systems, not just follow them - Spot problems before they become bigger issues - Move with urgency while maintaining quality - Measure success through output, results and commercial impact Qualifications - Shopify Plus experience - Experience with Meta Ads, Google Ads, Klaviyo, GA4, PostHog, Hotjar, Microsoft Clarity, Triple Whale, Figma, Notion, Airtable, n8n, Zapier, Make or similar tools - Experience with AI tools such as ChatGPT, Claude, Gemini, Perplexity, Replit, Gamma or AI agents - Experience working with developers on website deployment, QA and CRO tickets - Experience in DTC, retail, furniture, homewares, lifestyle, sleep, kids or consumer brands - Experience scaling campaigns across multiple markets - Basic understanding of HTML, CSS, Shopify theme structure, SEO, schema or site speed - Experience building reports, dashboards, SOPs or workflow automations Requirements - Move fast without being messy - Take ownership without needing constant reminders - Communicate early, clearly and directly - Know how to prioritise what matters - Care about output and results - Can work across strategy and execution - Are comfortable with ambiguity - Use AI naturally in your workflow - Can work with developers, creatives, marketers and operators - Are not afraid of high standards - Can show what you have delivered, not just what you know Benefits - Build and launch practical AI workflows that reduce manual work and improve marketing, eCommerce and CRO execution. - Maintain a clean, reliable and high-performing website experience. - Improve conversion through structured testing, faster experimentation and better customer journey decisions. - Grow organic sessions by 20–30% within 6 months. - Improve mobile page speed by 20–30% within 90 days across priority pages. Top 5 KPIs for This Role - AI Automation & Workflow Output - Website Quality, QA & Bug Reduction - CRO Testing & Conversion Improvement - SEO Growth & Technical Optimisation - Site Speed, UX & Website Performance What Success Looks Like - AI is being used practically across marketing, eCommerce and CRO. - Manual workflows are reduced. - Campaigns and website updates are launched faster. - QA and deployment quality improves. - CRO testing becomes more structured and commercially useful. - Product pages and landing pages convert better. - Reporting becomes faster, clearer and more actionable. - The team has better systems, templates and SOPs. - Marketing output improves without sacrificing quality. - Commercial results improve through better execution.

• Liderar a integração técnica da API da Anthropic (Claude) na plataforma IARA e na infraestrutura AWS do cliente; • Projetar e implementar abstrações de acesso a modelos para padronização do consumo em ambientes multi-cloud (AWS + Azure/GCP); • Garantir interoperabilidade entre diferentes provedores de modelos com governança e rastreabilidade centralizadas; • Definir padrões técnicos para consumo de LLMs, incluindo gestão de contexto, versionamento de modelos e estratégias de fallback entre provedores; • Atuar em conjunto com times de segurança para assegurar conformidade e governança no uso de modelos em produção; • Contribuir tecnicamente para o roadmap da plataforma com foco em escalabilidade, operação e padronização; • Produzir documentação arquitetural de referência e conduzir revisões e transferências técnicas com os times envolvidos; • Atuar como referência técnica em arquitetura de IA generativa e integração de modelos foundation em larga escala.

• Provide architectural oversight across AI/ML projects to ensure consistency, performance, and maintainability • Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling • Support development teams on model selection, training pipelines, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies • Mentor engineers, analysts, and product teams on AI best practices.

Role Description A well-funded AI company in the healthcare infrastructure space is building the engine that automates some of the most complex workflows in health plan operations. This role exists because the product is working and the team needs a senior engineer who can own significant parts of the AI architecture independently. In the first year, you will go from shipping production pipelines to being the person who defines how the company builds LLM-powered systems at scale. - Architect and ship LLM-powered pipelines that automate complex multi-step clinical decision workflows end-to-end. - Build and maintain back-end services in Python that integrate directly with enterprise health systems (FHIR, HL7, EDI). - Own the quality and reliability of AI outputs through evaluation frameworks, structured outputs, and production monitoring. - Drive integrations with external enterprise environments, handling compliance constraints and audit requirements that come with healthcare data. - Translate requirements from product and customer success teams into scoped technical solutions, working directly with non-technical stakeholders when needed. - Operate across the stack from RAG and document pipelines through to cloud infrastructure and observability tooling. Qualifications - 5+ years of software engineering experience, with at least 2 years shipping AI/ML systems in production (not research or internal tooling). - Hands-on experience building and deploying LLM applications: prompt engineering, RAG pipelines, fine-tuning, eval harnesses. - Strong Python back-end skills: FastAPI, async patterns, typing, pytest. - Experience with cloud infrastructure on AWS, GCP, or Azure. - Proven ability to work with enterprise integration requirements including compliance, auditability, and security constraints. - Comfortable scoping and communicating technical solutions directly with clients or non-technical stakeholders. Nice to Have - Prior work in healthcare systems or HIPAA-governed environments. - Experience with FHIR, HL7, or EDI data formats. - TypeScript, Next.js, or front-end exposure. - Monorepo experience at scale. Tools and Stack - Python - FastAPI - PostgreSQL - Temporal - Redis - AWS (RDS, S3, Bedrock, IAM) - Kubernetes - Terraform - Docker - GitHub Actions - Pydantic AI - OpenAI - Google Gemini - OpenTelemetry - Prometheus - Grafana - Sentry - Logfire - PostHog Details - Location: Remote, Latin America - Time Zone: US overlap expected (confirm window with client) - Salary: Competitive — share your expectations when you apply. - Type: Full-time - Start: ASAP Company Description An early-stage AI company automating utilization management and clinical review workflows for health plans, TPAs, and medical management companies. They integrate directly into existing enterprise systems and operate in a regulated environment where accuracy and auditability are non-negotiable. Small, focused team building infrastructure that is already in production at real clients.