We are seeking a seasoned infrastructure operations expert that has experience with orchestrating high throughput data services. Experience that showcases high availability and systems reliability skillsets in high volume data pipeline environments are a big plus. What you'll own Collaborate deeply with our infrastructure and product teams to enforce org-wide practices for emitting and collecting telemetry across a wide range of services both internal and external facing. This includes contributing to org-wide documentation advocacy of best practices and helping to enforce standards org-wide. Own and operate the Kubernetes infrastructure of the observability team. You will help in defining the documentation operational flows and engineering standards to ensure high uptime across our logging tracing and metrics systems that are used by internal and external stakeholders Work within the Observability team to ensure industry-standard deployment and reliability practices are used and to develop industry-leading reliability software to ensure that our observability systems never go down for our customers. Orchestrate and scale systems such as VictoriaMetrics OpenTelemetry Collector and Vector. What you bring5+ years of experience in a Site Reliability Engineering role Experience operating and supporting clustered applications in production environments Hands-on experience deploying and managing applications in Kubernetes (k8s) environments Working knowledge of PostgreSQL including administration performance tuning and troubleshooting Proficiency with at least one Infrastructure as Code (IaC) tool (e.g. Terraform Pulumi OpenTofu or equivalent) Experience with telemetry tooling such as OpenTelemetry VictoriaMetrics Grafana Prometheus. Experience with AWS services is a plus Strong documentation and communication skills is a plus What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop monitor headphones or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year the entire company gathers in a new city for a week of connection collaboration and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses books conferences or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. 180+ team members 40+ countries 15+ languages spoken $496M raised 430000+ community members 30000+ memes posted (and counting) We move fast build in public and use what we ship. If it’s in your project we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities. Hiring Process We keep things simple async-friendly and respectful of your time: Apply – Our team will review your application. Intro Call – A short video chat to get to know each other. Interviews – Up to four calls with: + Founders + Future teammates + Someone cross-functional from product growth or engineering (depending on the role) Decision – We may follow up with a final question or go straight to offer. All communication is remote and we aim to move fast. Location APAC Employment Type Full time Location Type Remote Department Engineering

### About Us Launched in 2019 Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. ### About The Role We are hiring a technical lead to define the developer experience for the Customer Dashboard that is used by the world's largest retailers – Sephora Target Petco – to control their product discovery experience. You will define what Customer Dashboard developer experience looks like at Constructor – and your work will multiply the impact of every engineer on the dashboard. Requirements ### What You'll Do You and your team will own three areas: Dashboard reliability – infrastructure monitoring alerting incident response CI/CD pipelines Developer experience – tooling development environment design system agentic coding infrastructure Platform capabilities – authorization audit logging configuration management and other features that provide horizontal value across the dashboard You’ll lead a small team spending roughly 50% of your time on technical work 20% on team leadership and 30% working across teams. Success looks like: reduced build times fewer production incidents with lesser impact and teams reporting that the platform makes them more effective. ### Preferred Qualifications Platform engineering experience – you've built internal tools developer platforms or infrastructure that other engineers depend on Full-stack technical depth – strong hands-on experience with React & TypeScript + Node.js backend experience Infrastructure and operations experience – you have experience building & maintaining CI/CD pipelines monitoring and alerting you've been on-call and handled production incidents Leadership experience – you've led projects mentored engineers or managed a small team formal management experience preferred but not required Systems thinking – you think in tradeoffs and understand how decisions affect multiple teams Communication skills – you'll work across 7 teams and need to influence without authority Comfort with ambiguity – you can take a vague problem and structure an approach ### Nice to Have Experience with design systems or component libraries Experience with AI-assisted development tools or agentic coding Experience in e-commerce or B2B SaaS Experience working remotely in a distributed team Benefits ️ Unlimited vacation time - we strongly encourage all of our employees to take at least 3 weeks per year A competitive compensation package including stock options Fully remote team - choose where you live ️ Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees ‍ Training and development budget for every employee refreshed each year Parental leave for qualified employees Work with smart people who will help you grow and make a meaningful impact This position is fully remote - Constructor.io is a remote-first company ### Diversity Equity and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse equitable and inclusive. As an equal opportunity employer we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education diversity of opinion race color religion gender gender expression sexual orientation national origin genetics disability age veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.

About the Role As our Head of Data you will build and scale Scrambly's data science function from the ground up. You'll define the long-term strategy and lead hands-on execution across machine learning personalization experimentation forecasting fraud prevention and internal decision intelligence. This is a high-impact leadership role for someone who thrives at the intersection of product engineering and analytics. You will develop models that directly influence user engagement monetization and risk management across global consumer products. You will initially manage an external data science/ML agency while building Scrambly's internal data science and AI team. You will also own Scrambly's applied AI strategy including LLM-powered features and internal AI tools. Key Responsibilities Strategy & Leadership + Define and own Scrambly's data science roadmap + Build and lead the data science team: hiring mentoring establishing standards + Manage and coordinate an external ML agency until the internal team is established + Collaborate closely with engineering product design marketing operations fraud and leadership teams to drive data-informed decisions + Translate complex technical concepts into clear recommendations for business stakeholders + Lead Scrambly's applied AI/LLM strategy across product and internal tooling Machine Learning & Personalization + Build and maintain models for personalization recommendations engagement prediction churn and LTV forecasting + Deploy and evaluate ML models across online/offline pipelines with continuous retraining and monitoring + Partner with engineering to integrate ML models into Scrambly's backend and mobile/web products with performance and scalability in mind + Design and integrate LLM-based capabilities such as semantic search natural language assistance automated content generation or model-augmented decision engines + Evaluate fine-tune or distill foundation models (OpenAI Claude Llama Gemini etc.) for Scrambly's product and internal workflows Fraud Detection & Risk Prevention + Develop advanced fraud detection systems using anomaly detection and behavioral modeling + Build scoring systems for event manipulation multi-accounting and suspicious behavior + Work with product and operations to design block rules thresholds TTC validation systems and automated risk classification + Monitor fraud trends and proactively identify emerging risks Data Infrastructure & Model Ops + Define requirements and collaborate with engineering to build scalable data pipelines for training inference experimentation and monitoring + Define and implement robust MLOps practices (CI/CD for ML models automated retraining monitoring versioning) + Ensure reliable data quality documentation and metadata standards across the organization + Build infra for LLM workloads: vector DBs embedding pipelines prompt evaluation safety checks Compliance Privacy & Responsible AI + Ensure data science initiatives comply with global privacy regulations (GDPR Japan APPI Korea PIPA CCPA) + Work with the DPO/legal team to design privacy-by-design data science solutions + Establish guardrails for responsible safe and transparent AI/LLM usage Requirements Technical Expertise + 6+ years of experience in data science or ML engineering roles at least 2+ years in a leadership or senior ownership position + Strong proficiency in Python ML frameworks (TensorFlow PyTorch XGBoost etc.) and analytics tooling + Deep experience building and deploying ML models in production environments + Hands-on expertise in recommendation systems personalization time-series forecasting and/or fraud detection models + Experience with data pipeline tools (Airflow dbt BigQuery Snowflake etc.) and MLOps best practices + Excellent communication skills in English (B2+) ability to collaborate with multidisciplinary teams across countries Business & Leadership Skills + Proven ability to translate business goals into data science solutions that drive measurable impact + Strong analytical thinking and ability to design rigorous experiments + Experience working closely with product engineering monetization and marketing teams + Excellent communication skills and the ability to influence cross-functional decision-making + Product-oriented mindset — able to balance accuracy speed and business context + Experience managing teams and/or coordinating work with external vendors or agencies + Experience working in fast-paced consumer/mobile product environments preferred What We Offer An opportunity to define build and own Scrambly's data science & AI function - with the mandate to shape vision ship solutions and drive measurable product impact in a fast-scaling business Direct collaboration with the founders engineering leadership and product teams Massive influence - your models and systems will shape the experiences of millions of users worldwide Competitive compensation and a flexible high-autonomy work environment A chance to innovate in a fast-growing data-rich business with complex and unique modeling challenges

Learning is the only human superpower. It’s a gateway through which knowledge becomes a virtue a value a product a skill a prerequisite a motive and a competitive advantage. LearnWorlds’ vision is to enable individuals businesses and communities to leverage the power of learning improving lives and cultivating a brighter more resilient future for everyone. Our mission is to stand out as the ultimate adaptable e-learning solution tailored to meet the diverse advanced and intricate business models of contemporary organizations. We are committed to delivering unmatched flexibility in our offerings ensuring that businesses individuals and communities can effortlessly embrace knowledge empowerment as a cornerstone of their growth and success. The cloud-based e-learning platform offers tailor-made solutions from creating whole e-learning websites to author online courses as well as providing the right tools to sell them on a B2B/B2C function. Today LearnWorlds has c.12000 customers in more than 150 countries and our team is fully remote. However we also offer the option of working from the office for those who want to mix things up. We have offices in Athens Crete and Limassol. Role Purpose LearnWorlds is seeking a detail-oriented technically capable CRM Administrator to own and evolve our HubSpot CRM instance across marketing sales and customer success. You will play a critical role in enabling go-to-market teams to execute efficiently aligning systems with business goals and improving lead management campaign execution and reporting accuracy. This is a key operations role embedded within the Revenue Operations function helping drive scalable processes and data integrity. You will collaborate cross-functionally with Sales Marketing Product and CX to support a high-performing commercial engine Key Responsibilities Manage platform settings and maintenance (users roles permissions sources properties marketing contacts general optimization). Build and maintain marketing workflows sequences automated nurtures email campaigns dynamic content A/B tests CTAs and campaign tracking. Ensure proper UTM tagging attribution setup segmentation lead routing lifecycle updates and support Demand Gen in campaign preparation (assets QA testing). Collaborate with Content on social media management and automation inside HubSpot when needed. Support Sales Hub setup: pipelines deal stages mandatory properties lead scoring sequences task queues and outbound systems (Target Accounts LinkedIn Navigator). Assist RevOps Manager in CRM operations data hygiene documentation of processes/field mappings dashboards reports funnel monitoring and operational analytics. Own and troubleshoot HubSpot integrations across the GTM stack (e.g. ChurnZero Freshdesk sales engagement tools enrichment Segment/Zapier) ensuring reliable data syncing and automation. Train and onboard users on HubSpot and implemented systems. Requirements 2+ years of hands-on experience with HubSpot (Marketing and/or Sales Hub) or similar. Strong technical skills in campaign execution: workflows sequences emails A/B tests dynamic content and attribution. Good understanding of lead lifecycle B2B funnels segmentation data hygiene and property management. Ability to build and iterate dashboards and reports and analyze campaign performance. Knowledge in GDPR and CRM data best practices in terms of security and privacy. Detail-oriented process-focused and comfortable working with GTM teams. Nice to Have Ability to “see beyond what’s in front of you”. Be curious wanting to dig into the guts of processes and systems to see what others can’t which is crucial to enhance them or solve problems. This is not only thinking out-of-the-box it’s like seeing a box when others can’t see any. Having worked with HubSpot Operations Hub. Exposure to RevOps workflows or SaaS/PLG environments. Familiarity with integrations and enrichment tooling (e.g. Segment Zapier ZoomInfo (ZI) or similar). Familiarity with Programming languages like HTML Python or JavaScript for email building and/or systems integrations. Understanding of RevOps systems (RevOps Statement / Implementation Plan / Monitoring Optimization and Scaling) Benefits + Private life and health insurance plan + Fully remote work if you prefer to work from home apart from when we have team meetings a few times per year + Your personal annual training budget + An annual home office allowance to set up your personal space + Company laptop + 23 days of paid time off + 3 early summer Fridays in July and August + Access to AI tools at work + A free LearnWorlds School to build and sell your own courses + Work in one of the globally top 5 e-learning courses platform + An opportunity to grow alongside us and shape the look and feel of tomorrow's e-learning + An entrepreneurial international and highly motivated team with a flat hierarchy that will both challenge you and help you reach your highest potential + Annual company retreats (see the video of our latest retreat).

Inserida no Grupo Serlima a Serlima Target é a área de negócio cuja especialização é focada em soluções de Trabalho Temporário e Cedências Diretas funcionando tanto como suporte das operações como das restantes empresas do Grupo. Sob o lema Facultamos o profissional certo! estamos a recrutar um Operador de Armazém Noturno (M/F) para a zona de Forte da Casa Lisboa. Funções: Receção conferência e armazenamento de mercadorias Preparação de encomendas (picking) com recurso a stackers e mota elétrica Carga e descarga de mercadoria com empilhador Abastecimento de linhas ou zonas de expedição Controlo de stocks e inventários Garantir a organização e limpeza do armazém Cumprimento das normas de segurança e procedimentos internos. Requisitos: Experiência anterior em funções de armazém Experiência na condução de motas elétricas (picking / movimentação interna) (obrigatório) Certificação e prática na condução de empilhadores (obrigatório) Disponibilidade para trabalhar no turno da noite Sentido de responsabilidade pontualidade e espírito de equipa. Horário: Segunda a Sexta-feira: 00:00h - 09:00 Oferta: Integração numa equipa dinâmica Vencimento compatível com a função e experiência demonstrada Contrato de trabalho com possibilidade de continuidade. Candidaturas: Envie o seu CV atualizado para rguimaraes@serlima.pt com a referência Operador de Armazém - Turno da Noite no assunto.