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.

Role Description We are looking for a Salesforce AI Integration Architect to design and build enterprise integrations between internal AI platforms and Salesforce Agentforce environments, scaling autonomous AI workflows across distributed systems. The role requires deep expertise in Salesforce customization, LLM orchestration, and scalable distributed system design. - Architect end-to-end integrations between internal AI platforms, enterprise data systems, and Salesforce Agentforce environments; - Design scalable, secure, and resilient distributed system architectures supporting autonomous AI workflows; - Define integration strategies leveraging REST APIs, gRPC, event-driven architectures, and Salesforce-native capabilities; - Design and optimize modular agentic AI systems through specialized micro-agent delegation; - Build orchestration patterns for multi-step AI workflows, autonomous routing systems, and semantic tool execution; - Apply best practices around prompt engineering, context management, token conservation, and LLM orchestration; - Develop and enhance integrations using Salesforce Flows, Invocable Apex methods, APIs, connectors, and custom prompt templates; - Enable complex backend processes to be exposed as intelligent agentic tools within Salesforce ecosystems; - Collaborate with cross-functional teams to maintain unified API contracts and semantic consistency across enterprise systems; - Author architectural decision records documenting technical trade-offs, constraints, and high-level requirements; - Evaluate and select integration patterns including traditional APIs, Model Context Protocol, and Agent-to-Agent communication models; - Balance performance, latency, scalability, reasoning overhead, and data sensitivity considerations in architectural decisions; - Establish authentication boundaries, trust layers, and governance guardrails for AI-enabled enterprise systems; - Ensure compliance with enterprise security standards, data governance policies, and secure data exposure practices; - Partner with security and platform teams to maintain reliable and trustworthy autonomous agent execution. Qualifications - 6+ years of experience designing enterprise integrations and distributed system architectures; - Hands-on experience integrating systems with Salesforce; - Deep expertise with Apex methods, advanced Salesforce Flows, custom prompt templates, and Salesforce APIs and connectors; - Strong experience with REST APIs, gRPC, event-driven architectures, and enterprise synchronization patterns; - Solid understanding of AI and LLM concepts including prompt engineering, context management, token optimization, multi-step AI workflows, agent orchestration, and semantic routing systems; - Experience designing scalable and secure distributed systems; - Strong understanding of authentication, security, trust boundaries, and data governance; - Experience documenting architecture decisions, trade-offs, and technical strategy; - Excellent collaboration and communication skills across engineering, platform, data, and security organizations; - Upper-intermediate English level. Requirements - Experience with Model Context Protocol (MCP); - Experience with Agent-to-Agent (A2A) integrations; - Experience with MuleSoft or enterprise middleware platforms; - Familiarity with Salesforce Agentforce; - Experience building or managing autonomous AI agents or micro-agent ecosystems; - Experience with semantic tool discovery or AI-native integrations; - Knowledge of Salesforce Bulk APIs and Salesforce Connect; - Experience operating within large-scale enterprise AI environments. Benefits - Remote work & local connection: Work where you feel most productive and connect with your team in periodic meet-ups. - Legal presence in India: Full local compliance and structured work environment. - Competitive compensation in INR: Dedicated budgets for growth, education, and wellness. - Innovative projects: Work with modern technologies and global clients.

• 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.