Globalli

• Execute marketing campaigns to drive qualified leads and support sales pipeline growth. • Support inbound and outbound marketing initiatives across digital and social channels. • Collaborate with Sales to align campaigns with target customer segments and revenue priorities. • Monitor and optimize campaign performance based on conversion and engagement metrics. • Own execution of social media strategy and day-to-day management across LinkedIn and other relevant platforms. • Manage execution of content marketing initiatives across LinkedIn, email, and web channels. • Support development and distribution of thought leadership, product messaging, and customer stories. • Maintain a content and social calendar, ensuring consistent execution and posting cadence. • Support brand awareness through consistent digital and social presence across channels. • Execute SEO initiatives to improve organic visibility and website traffic. • Identify keyword opportunities and support content optimization efforts. • Monitor website performance and recommend improvements to increase engagement and conversions. • Use HubSpot and other marketing tools to execute and track campaigns. • Maintain accurate marketing data and campaign tracking. • Monitor key performance metrics including lead volume, traffic, social engagement, and conversion rates. • Provide regular reporting on campaign performance and insights. • Work closely with Sales, Product, Customer Success, and Leadership teams. • Support go-to-market initiatives including product updates and campaign launches. • Contribute to improving marketing effectiveness through feedback and insights.

• Own the full sales cycle from prospecting through close within assigned territory • Generate new pipeline through outbound activity, inbound follow-up, and relationship development • Identify, qualify, and close new logo opportunities in SMB and mid-market segments • Maintain disciplined pipeline management and accurate CRM (HubSpot or equivalent) • Conduct consultative sales conversations with HR, Finance, and Operations stakeholders • Present Globalli’s global payroll and HCM solutions in a value-driven manner • Manage proposals, pricing discussions, and contract negotiations through close • Meet or exceed individual sales targets and KPIs • Work closely with Sales Leadership, Marketing, Product, and Customer Success teams • Ensure smooth transition from sales to implementation and onboarding • Provide structured feedback on market trends, customer needs, and objections • Support continuous improvement of sales messaging and playbooks • Participate in relevant industry events (virtual and in-person) to support pipeline development • Build relationships with key stakeholders in target accounts and industries • Support awareness of Globalli within the HR tech and global workforce ecosystem

Role Description We are looking for a Senior Data Engineer to build and evolve the data platform powering our global workforce management ecosystem. You will design, implement, and maintain scalable data pipelines that consolidate data from multiple operational systems, transform it into trusted analytical datasets, and make it available for reporting, product analytics, and business intelligence. You should be comfortable working with modern cloud-native data architectures on AWS, building reliable ETL/ELT pipelines, and designing data models optimized for analytical workloads. This role requires a strong engineering mindset, balancing performance, scalability, data quality, and operational excellence while collaborating closely with software engineers, product teams, analysts, and data scientists. What You Will Own - Design, build, and maintain scalable batch and streaming data pipelines using AWS-native services and distributed processing frameworks - Develop ETL/ELT workflows to ingest, consolidate, sanitize, enrich, and transform data from multiple internal and external systems - Build and optimize AWS Data Lake solutions using Amazon S3, AWS Glue, Amazon Redshift, and Amazon Kinesis Firehose - Design and implement distributed data processing jobs using Apache Spark, AWS Glue, Databricks, or equivalent technologies - Develop orchestration workflows using Apache Airflow (MWAA), AWS Step Functions, or similar workflow orchestration platforms - Design analytical data models including star schemas, snowflake schemas, dimensional models, and optimized reporting datasets - Optimize Redshift performance through distribution strategies, sort keys, partitioning, workload tuning, and query optimization - Build resilient pipelines supporting retries, idempotency, checkpointing, incremental processing, and partial failure recovery - Implement automated data quality validation, schema evolution, lineage tracking, and governance controls - Develop infrastructure and deployment automation using Infrastructure as Code and CI/CD pipelines - Monitor, troubleshoot, and continuously improve the reliability, scalability, and performance of the data platform - Collaborate with analysts, software engineers, data scientists, and product managers to translate business requirements into scalable data solutions - Participate in architecture discussions and contribute technical documentation, standards, and best practices Qualifications - 5+ years of professional experience building production data pipelines and cloud-based data platforms - Strong experience with AWS data services including Amazon Redshift, AWS Glue, Amazon S3, and Amazon Kinesis Firehose - Strong Python programming skills for ETL development, automation, event processing, and scripting - Advanced SQL expertise including query optimization, window functions, analytical queries, versioned migrations, rollback strategies, and warehouse tuning - Experience designing scalable ETL/ELT pipelines for both batch and streaming workloads - Experience with distributed compute and storage using Apache Spark, AWS Glue, Databricks, or similar distributed processing frameworks - Strong understanding of data warehousing concepts including dimensional modeling, star schemas, snowflake schemas, partitioning strategies, and analytical data structures - Experience designing end-to-end data architectures including ingestion, transformation, orchestration, and consumption layers - Experience implementing workflow orchestration using Apache Airflow (MWAA), AWS Step Functions, or equivalent orchestration tools - Understanding of data governance, metadata management, security best practices, IAM, encryption, and regulatory compliance considerations - Experience with Git-based collaborative development workflows, CI/CD pipelines, Infrastructure as Code, deployment approvals, versioned migrations, and safe rollback strategies - Experience monitoring and maintaining production data infrastructure, ensuring high availability, observability, data quality, and operational reliability - Strong communication skills with the ability to explain technical concepts to business stakeholders and collaborate effectively across engineering, analytics, and product teams Nice to Have - Experience with Apache Iceberg, Delta Lake, Apache Hudi, or modern open table formats - Experience with dbt or SQL-based transformation frameworks - Familiarity with Kafka, Amazon MSK, or other streaming platforms - Experience with Lakehouse architectures and modern analytical data platforms - Knowledge of Terraform or AWS CloudFormation - Experience with containerized data workloads using Docker and ECS/EKS - Experience implementing DataOps practices and automated testing for data pipelines - Familiarity with BI platforms such as Tableau, Power BI, Looker, or QuickSight - Experience implementing data catalogs, lineage, and governance solutions - Exposure to machine learning feature pipelines or data science infrastructure Tech Stack - Programming: Python, SQL, PySpark - Data Processing: Apache Spark, AWS Glue, Databricks - Data Storage: Amazon S3, Amazon Redshift, Parquet - Streaming: Amazon Kinesis Firehose, EventBridge - Orchestration: Apache Airflow (MWAA), AWS Step Functions - Data Modeling: Star Schema, Snowflake Schema, Dimensional Modeling - Infrastructure: AWS, IAM, CloudWatch - IaC/CI: Git, GitHub Actions, Terraform, CloudFormation - Observability: CloudWatch, Datadog (or equivalent observability platforms) - Governance: Data Catalog, Metadata Management, Data Lineage

• Execute marketing campaigns to drive qualified leads and support sales pipeline growth • Support inbound and outbound marketing initiatives across digital channels • Collaborate with Sales to align campaigns with target customer segments and revenue priorities • Monitor and optimize campaign performance based on conversion and engagement metrics • Manage execution of content marketing initiatives across LinkedIn, email, and web channels • Support development and distribution of thought leadership, product messaging, and customer stories • Maintain content calendar and ensure consistent execution of marketing campaigns • Support brand awareness through consistent digital presence across channels • Execute SEO initiatives to improve organic visibility and website traffic • Identify keyword opportunities and support content optimization efforts • Monitor website performance and recommend improvements to increase engagement and conversions • Use HubSpot and other marketing tools to execute and track campaigns • Maintain accurate marketing data and campaign tracking • Monitor key performance metrics including lead volume, traffic, and conversion rates • Provide regular reporting on campaign performance and insights • Work closely with Sales, Product, Customer Success, and Leadership teams • Support go-to-market initiatives including product updates and campaign launches • Contribute to improving marketing effectiveness through feedback and insights

• Own the full sales cycle from prospecting through close within assigned territory • Generate new pipeline through outbound activity, inbound follow-up, and relationship development • Identify, qualify, and close new logo opportunities in SMB and mid-market segments • Maintain disciplined pipeline management and accurate CRM (HubSpot or equivalent) • Conduct consultative sales conversations with HR, Finance, and Operations stakeholders • Present Globalli’s global payroll, EOR, and HCM solutions in a value-driven manner • Manage proposals, pricing discussions, and contract negotiations through close • Meet or exceed individual sales targets and KPIs • Work closely with Sales Leadership, Marketing, Product, and Customer Success teams • Ensure smooth transition from sales to implementation and onboarding • Provide structured feedback on market trends, customer needs, and objections • Support continuous improvement of sales messaging and playbooks • Participate in relevant industry events (virtual and in-person) to support pipeline development • Build relationships with key stakeholders in target accounts and industries • Support awareness of Globalli within the HR tech and global workforce ecosystem

Role Description The Sales Coordinator will support the sales organization by maintaining CRM hygiene, coordinating pipeline activity, supporting sales execution workflows, and assisting with customer-facing scheduling and administrative tasks. This role is critical to ensuring data accuracy and operational efficiency across the sales funnel. - Maintain accurate CRM records (HubSpot) including leads, opportunities, and pipeline stages - Support sales team with scheduling meetings, demos, and customer follow-ups - Assist with pipeline reporting and basic sales activity tracking - Ensure CRM data integrity and hygiene across all active deals - Coordinate internal communication between sales, marketing, and account teams - Support proposal tracking, documentation, and sales enablement materials - Manage inbound lead routing and assignment - Provide administrative support to sales leadership as needed Qualifications - 1–3 years in sales support, sales coordination, operations, or administrative roles - Strong proficiency in HubSpot (preferred) or similar CRM systems - Experience in SaaS, B2B services, or technology environments preferred - Bilingual capability required (English + Spanish for Mexico-based role) - Strong organizational skills and attention to detail - Comfortable working across time zones in a remote-first environment

Role Description We are looking for a Senior Test Automation Engineer to join our Quality Engineering team and help us raise the bar on software quality across a global HR and payroll platform, a complex, distributed B2B SaaS platform. You will work closely with product owners from the earliest stages of development, own automation coverage across frontend, backend, and microservice boundaries, and play a hands-on role in evolving our testing infrastructure. What You’ll Do - Design, implement, and maintain automated E2E test suites covering UI, API, and third-party integration points. - Champion shift-left practices by embedding in sprint planning, story refinement, and design reviews to catch quality risks early. - Own regression testing, exploratory testing, and production validation across critical product workflows. - Write type-safe, schema-validated test code using TypeScript and Zod to minimize false positives and improve maintainability. - Build and maintain E2E and component tests with Playwright/Cypress, covering critical user flows and edge cases. - Integrate automated test suites into CI/CD pipelines to ensure fast, reliable feedback to developers. - Design and execute API test coverage using Postman and REST-assured. - Test event-driven and asynchronous workflows across microservice boundaries. - Identify gaps in coverage, prioritize them against risk, and drive resolution with a pragmatic mindset. - Collaborate in a QA team, contributing to shared standards, tooling decisions, and documentation. - Identify, track, and triage bugs using tools like Jira and Xray. - Mentor engineers on testability and release confidence. Qualifications - 4+ years of hands-on test automation experience in production software environments. - Strong TypeScript skills: you write test code that is clean, readable, and easy to extend. - Solid experience with Playwright or Cypress for E2E, both UI and API testing. - Familiarity with Zod or other runtime schema-validation libraries. - Hands-on expertise across the whole STLC, including testing patterns and architectures (e.g., Page Object Model, fixtures and factories, data-driven testing) and end-to-end test design strategies. - API testing expertise with Postman and/or REST-assured across RESTful and event-driven interfaces. - Hands-on experience with bug tracking and test management tools (Jira, Xray, or equivalent). - Practical experience testing microservice architectures, including service isolation strategies. - Comfortable working within Agile/Scrum ceremonies (sprint planning, refinement, design reviews) and collaborating directly with product owners and developers. - Ability to test third-party integration points and design robust strategies around external dependencies. - Excellent problem-solving and debugging skills, with the ability to write clear, reproducible, and well-prioritized bug reports. - Experience mentoring or coaching engineers on testing practices and quality ownership. - Familiarity with current AI-assisted development tools (e.g., GitHub Copilot, Claude, Cursor) and sound judgment on where AI fits in the testing workflow, accelerating delivery without compromising rigor or ownership. - A proactive, detail-oriented mindset that thrives in fast-paced, high-ownership environments. - Bilingual English/Spanish (written and verbal). Nice to have - Experience in payroll, fintech, or other compliance-heavy domains. - Understanding of contract testing concepts and tools. - Exposure to security and privacy testing (e.g., GDPR, SOC 2 readiness). - Familiarity with performance and load testing tools (e.g., k6, JMeter, Gatling). - Experience with observability or production monitoring tools (Datadog, Grafana, Sentry, or equivalent). - Comfort working in distributed, asynchronous teams across multiple time zones. - Familiarity with Jenkins configuration and pipeline authoring.

Role Description The Senior Software Engineer is a high-impact individual contributor responsible for designing, building, and maintaining core components of Globalli’s global payroll, EOR, and HCM platform. This role works closely with Lead Developers and Product teams to deliver scalable, secure, and high-quality software solutions. Senior Software Engineers are expected to operate with autonomy, contribute to technical design discussions, and support junior engineers within their squad. This role may work in distributed teams across LATAM and the Americas, so bilingual proficiency in English and Spanish is required. Key Responsibilities - Software Development - Design, develop, test, and maintain scalable software features and platform components - Build full-stack solutions including APIs, backend services, frontend components, and integrations - Deliver high-quality, production-ready code with minimal supervision - Participate in implementation of complex features within assigned domain areas - Technical Execution - Translate technical requirements into well-structured, maintainable code - Participate in sprint planning and estimation with Lead Developers and Product teams - Support system design discussions and contribute technical input - Ensure adherence to coding standards and engineering best practices - Collaboration - Work closely with Lead Developers, Product Managers, QA/TAE engineers, and other stakeholders - Participate in code reviews and provide constructive feedback - Collaborate with QA/TAE to ensure adequate test coverage and release readiness - Support troubleshooting and resolution of production issues - Quality & Engineering Standards - Write clean, testable, and maintainable code - Ensure proper testing coverage (unit, integration, and functional where applicable) - Support continuous improvement of engineering practices - Identify bugs, technical debt, and improvement opportunities - Learning & Growth - Continuously develop technical expertise and domain knowledge - Stay current with modern engineering practices and tools - Support knowledge sharing within the engineering team Qualifications - 5–7+ years of software engineering experience - Strong experience building SaaS or enterprise software applications - Experience working in Agile development environments - Experience collaborating with distributed teams - Strong full-stack development experience - Experience with APIs, microservices, and database systems - Familiarity with AWS or cloud-based environments - Experience with CI/CD pipelines and version control systems - Understanding of secure coding practices - Bilingual English/Spanish required Preferred Experience - Global payroll, HR tech, payroll, HCM, fintech, or workforce management platforms - Multi-tenant SaaS environments - Experience working in fast-paced startup environments - Exposure to QA automation or test-driven development environments

• Own a portfolio of client accounts as the primary point of contact • Build and maintain strong long-term client relationships to drive retention • Serve as a trusted advisor on global payroll, EOR, and HR tech solutions • Act as the voice of the customer internally across product and operations teams • Identify and execute upsell and cross-sell opportunities • Drive account retention and manage churn risk proactively • Develop and execute structured account plans using standardized playbooks • Support renewal discussions and commercial continuity • Understand client workforce and business needs • Recommend tailored solutions across payroll, compliance, and EOR services • Ensure clients are maximizing value from the Globalli platform • Support onboarding continuity and product adoption where needed • Track account health, usage, and satisfaction metrics • Maintain accurate CRM records (HubSpot or equivalent) • Conduct regular business reviews with clients • Provide insights on risks, trends, and expansion opportunities • Partner with Implementation, Product, Support, and Sales teams • Coordinate resolution of client issues and escalations • Share client feedback to support product and service improvements • Support client training and platform adoption • Assist with workflow optimization and best practices • Resolve issues in coordination with internal teams

Role Description The Regional Payroll Manager will play a pivotal role in overseeing end-to-end payroll operations, partnerships, implementations and product readiness for their assigned region, ensuring consistent, compliance and scalable payroll delivery. This role partners closely with internal teams and external vendors to deliver a high-quality regional payroll experience aligned with Globalli’s standards. Key Responsibilities - Regional Payroll Operations and Product Development: - Own regional payroll execution across assigned countries, including payroll runs, implementations and ongoing operational readiness. - Serve as the regional subject matter expert for payroll processes, country requirements, and partner capabilities. - Become a power user of the Globalli platform to deliver effective training and provide expert guidance to internal teams and regional stakeholders. - Collaborate cross‑functionally with Sales, Customer Service, Product, and Engineering to enhance regional payroll operations, document and test proposed enhancements, and educate internal teams. - Conduct platform testing, communicate product requirements, document results, and partner with internal teams to ensure the platform functions as expected. - Troubleshoot regional payroll and integration issues and collaborate with internal and external stakeholders to reach timely resolutions across multiple employment and delivery models. - Create and maintain comprehensive documentation, including setup guides and standard operating procedures (SOPs). - Regional Payroll Compliance, Partnerships and Country Readiness: - Regional payroll ownership: Oversee Globalli’s ability to process payroll within the assigned region, aligning operational capacity with business demand. - Global payroll processing: Implement and execute payrolls for assigned region, ensuring accuracy and timeliness. - Issue resolution: Investigate and resolve compliance‑related payroll discrepancies and escalations. - Documentation and reporting: Maintain accurate, audit‑ready documentation of payroll processes, controls, and compliance reports. - Regulatory monitoring: Track and interpret payroll legislation and regulatory changes, document impacts, and communicate updates to internal teams. - Vendor partnerships: Identify, onboard, and manage relationships with last‑mile payroll vendors, including onboarding, performance management, and ongoing operational alignment, to ensure reliable local execution. - Implementation oversight: Coordinate and oversee new country and client payroll implementations within the region, ensuring smooth product setup and scalable operational processes. - Year‑end accountability: Ensure timely and accurate submission of employee year‑end tax documents (e.g., W‑2s, 1099s, T4s, P60s). Qualifications - 5+ years of proven payroll experience managing multi-country or regional payroll operations in a high-growth or startup environment. - Strong communication skills with the ability to explain complex data clearly across formats. - Hands-on experience owning payroll delivery, vendor relationships and escalations across multiple employment and payroll delivery structures. - Experience with Managed Payroll Services and working across multiple time zones. - Comfortable working remotely and independently in a fast-paced, evolving environment. - Multilingual capabilities (English required; additional languages a plus). - Client-Centric Approach: Experience supporting high-touch enterprise accounts and managing escalations with professionalism. - Problem-Solving Skills: Skilled in analyzing pay slips, reconciling payroll data, and resolving complex issues. - Adaptability: Thrive in ambiguity and adapt quickly to shifting priorities and jurisdictions. - Analytical Mindset: Strong research and documentation skills with a focus on workflow optimization and process improvement.