Starian

Sales

• Structure and execute high-quality training programs and call reviews, analyzing interactions from SDRs, Sales, and Expansion teams to identify loss patterns, conversion bottlenecks, and improvement opportunities;
• Design and deliver practical trainings and role plays based on real operational data, focusing on pain diagnosis and objection handling;
• Perform performance analysis and link commercial data to enablement initiatives, ensuring real impact on conversion, sales cycle, and revenue;
• Create, maintain, and evolve sales playbooks, call frameworks, objection guides, and negotiation support materials, ensuring alignment with team execution;
• Work collaboratively with Marketing, Product, Sales, and RevOps, using CRM and enablement tools to align commercial messaging and monitor performance;
• Explore the use of Artificial Intelligence for call analysis, sales simulations, content creation, and accelerated training;
• Demonstrate a digital mindset, curiosity about new technologies, and an interest in understanding how Artificial Intelligence can transform processes, experiences, and outcomes.

Sales Enablement Analyst

Backend Engineer

• Develop and enhance features in the backend (PHP/Laravel) and frontend (Angular), ensuring quality, performance, and scalability.
• Actively contribute to the evolution of the platform architecture, including backend, frontend, and integrations, focusing on sustainable, long-term solutions.
• Design, implement, and evolve RESTful APIs, considering versioning, security, and best practices.
• Work on data modeling and persistence, operating with relational and non-relational databases, paying attention to performance and consistency.
• Develop and maintain asynchronous processing solutions, queues, and jobs, handling concurrency and high data volumes.
• Work with multi-tenant architecture, ensuring data isolation, security, and scalability per client/company.
• Implement and maintain automated tests for both backend and frontend, promoting quality and reliability.
• Work with Spec-Driven Development (SDD), contributing to clear technical specifications aligned with the code.
• Use Artificial Intelligence (AI) in development, both to increase productivity and to build AI-based features.

Senior Full Stack Developer – PHP, Angular

Support Engineer

• Handle incoming requests via chat and ticketing system, with a focus on quality and effective resolution;
• Analyze and resolve product-related queries;
• Create and maintain technical articles in the knowledge base;
• Perform system tests to diagnose errors and validate solutions;
• Maintain a digital mindset, be curious about new technologies, and have an interest in understanding how Artificial Intelligence can transform processes, experiences, and outcomes.

Junior Support Analyst – Civil Engineering

Full-stack Engineer

• Contribute to robust, sustainable, results-oriented solutions;
• Work with technical autonomy, collaborating on planning and mentoring more junior developers;
• Help build a software engineering environment guided by quality, performance and continuous improvement;
• Use AI tools (such as Windsurf, Copilot, JetBrains AI, Anthropic) to accelerate development and test automation;
• Demonstrate a digital mindset, curiosity for new technologies and an interest in understanding how Artificial Intelligence can transform processes, experiences and outcomes;
• Work with technologies such as Java, Spring, React, JUnit, Mockito, Git, Hibernate, among others.

Full Stack Developer, AI (Mid-Level)

Marketing

• Plan, execute, and manage content strategy across multiple social networks (X, Instagram, LinkedIn, Facebook, and TikTok), ensuring consistency between channels and alignment with brand objectives;
• Monitor trends, conversations, and market movements, acting swiftly on real-time marketing opportunities and identifying positioning possibilities;
• Manage communities and interactions, responding to comments, messages, and mentions, with an active presence especially on X to strengthen the brand;
• Create, adapt, and publish content (copies, scripts, and creative guidelines) in partnership with internal teams, ensuring quality and coherence of communication;
• Track metrics, analyze results, and generate insights, proposing optimizations, tests, and new approaches based on data and benchmarks;
• Maintain a digital mindset, curiosity about new technologies, and an interest in understanding how Artificial Intelligence can transform processes, experiences, and results.

Social Media Marketing Analyst (Mid-level)

Software Engineer

• Support team members through mentoring, feedback, Individual Development Plans (IDPs), and other practices that promote individual growth and well-being;
• Monitor the performance of teams under your leadership, tracking product metrics, team performance, and budget-related aspects;
• Foster a culture of quality, collaboration, and continuous improvement, with particular attention to the technical growth of the teams;
• Work closely with development teams (backend, frontend, and mobile), supporting decision-making and ensuring proper technical alignment across areas;
• Encourage and guide the use of Artificial Intelligence in the teams' day-to-day work to achieve gains in productivity, quality, and delivery speed;
• Align with stakeholders on results, goals, and the status of the teams;
• Identify and implement improvements or innovations in work models and organizational structure;
• Maintain a digital mindset, with strong curiosity and practical application of new technologies, especially Artificial Intelligence.

Software Development Coordinator

Customer Success Manager

• Manage a LATAM customer portfolio, ensuring coverage, health and retention (Smart Touch);
• Monitor engagement and customer health indicators, interpret data and drive action plans;
• Conduct follow-up meetings, operational trainings and enablement sessions with clients (in Spanish);
• Support expansion opportunities (upsell/cross-sell) in partnership with the sales team;
• Update the CRM with relationship details, interactions and action plans;
• Digital mindset, curious about new technologies and interested in understanding how Artificial Intelligence can transform processes, experiences and results.

Customer Success Analyst – Mid (Spanish)

SEO Marketing

• Plan and execute SEO strategies focused on driving qualified organic traffic growth
• Perform technical SEO analyses, identifying crawling, indexing and site structure issues
• Monitor performance of websites, blogs and pages using tools such as Google Search Console, SEMrush and Screaming Frog
• Collaborate with the technology team to implement technical improvements
• Identify opportunities based on data and propose continuous tests and optimizations (e.g., A/B)
• Track search trends and the impact of new technologies, such as Artificial Intelligence

Senior SEO Analyst

Product Manager

• Define and evolve the product vision for the Accounts Receivable journey, connecting business strategy with the real needs of construction companies, real estate developers and land developers;
• Act as the primary business authority for financial matters, continuously evolving features related to receivables management, monetary indexation, delinquency and mortgage financing;
• Prioritize and manage the product backlog, balancing customer value, business impact and technical feasibility;
• Conduct discovery processes to identify opportunities for improvement and innovation, focused on operational efficiency and customer value creation;
• Translate complex needs into clear, scalable solutions, working closely with technology and design teams;
• Oversee development deliveries to ensure quality, consistency and compliance with real estate market rules;
• Monitor product and business metrics, using data to inform decisions and prioritization;
• Partner with areas such as Support, Implementation and Sales to ensure the best customer experience;
• Facilitate agile ceremonies and foster a collaborative, high-performance environment within the squad;
• Support launches and communications of new features together with the Product Marketing team;
• Monitor product usage in production and lead continuous improvement initiatives;
• Explore new technologies, including Artificial Intelligence, to optimize financial processes and drive efficiency gains.

Senior Product Manager, Accounts Receivable

• Build the product vision based on the business strategy and break it down for a multidisciplinary team (developers and designers), aligning and motivating everyone in executing activities;
• Maintain a prioritized backlog for the short, medium and long term aligned with the company strategy and informed by continuous analysis of various information sources (e.g., NPS, Support, contractual customer requests, etc.);
• Keep the squad informed and engaged with the objectives;
• Analyze backlog requests and hypotheses and lead discovery activities, defining success metrics and documenting outcomes to start the delivery process;
• Oversee the development of functional specifications according to agile development standards: convert specifications into user stories, prioritize based on value delivery, plan sprints, clarify questions, participate in team ceremonies and perform the final validation of developed features;
• Monitor the progress of deliveries and communicate with the relevant company areas about released features;
• Collaborate with the Product Marketing team to prepare materials for product launches;
• Build the foundation for product documentation;
• Monitor product usage in production using appropriate monitoring tools and evaluate results against pre-established success criteria;
• Communicate the product vision to other departments and companies within the group;
• Digital mindset, curiosity about new technologies and interest in understanding how Artificial Intelligence can transform processes, experiences and outcomes.

Product Manager, Tax Module

• Develop and maintain high-complexity solutions using VueJS, Ruby on Rails and Go, participating from design and architecture through deployment and maintenance, ensuring performance, scalability and the application of principles such as Clean Code and Design Patterns.
• Work autonomously in planning and executing projects, propose continuous improvements to development processes, and actively collaborate with Product Managers and Designers to define and prioritize features.
• Actively participate in the team's agile ceremonies, maintaining clear and assertive communication with stakeholders and adjacent areas to help remove impediments and ensure technical alignment of deliveries.
• Digital mindset, curiosity about new technologies, and interest in understanding how Artificial Intelligence can transform processes, experiences and outcomes.

Full Stack Developer (Mid-level)

Pricing Analyst

• Generate opportunities within the customer base
• Conduct product demonstrations
• Manage the sales funnel for opportunities within the customer base
• Develop commercial proposals
• Digital mindset, curiosity about new technologies and an interest in understanding how Artificial Intelligence can transform processes, experiences and results.

Junior Commercial Analyst

Data Analyst

• Data architecture and engineering: Design and evolve scalable data architectures (Data Warehouse, Data Lake and Lakehouse), developing and orchestrating robust and efficient ETL/ELT pipelines (query and ingestion execution and optimization; pipeline construction and orchestration; and definition of corporate data architecture and standards);
• Data processing, analysis and insights: Ensure data is processed and available for analytical consumption, supporting the creation of dashboards, exploratory analyses and integration with predictive models and data science solutions;
• Use of Artificial Intelligence and data automation: Apply AI and automation to optimize data engineering activities, including extraction, cleansing, auditing and data controls. Develop scripts, automations and integrations with LLMs and AI tools (e.g., prompt engineering, MCP, AI-enabled IDEs such as Windsurf or similar), progressing toward structured use of ML models and intelligent solutions applied to data architectures and pipelines;
• DevOps, governance and data quality: Apply best practices for versioning, CI/CD and data governance, ensuring quality, security and reliability of information across the data lifecycle;
• Digital mindset, curiosity about new technologies and an interest in understanding how Artificial Intelligence can transform processes, experiences and outcomes.

Mid-level Data Analyst

• Contribute to robust, sustainable, and results-oriented solutions;
• Work with technical autonomy, collaborating on planning and mentoring more junior developers;
• Participate in building a software engineering environment driven by quality, performance, and continuous improvement;
• Use AI tools (such as Windsurf, Copilot, JetBrains AI, Anthropic) to accelerate development and test automation;
• Digital mindset, curiosity about new technologies, and interest in understanding how Artificial Intelligence can transform processes, experiences, and outcomes;
• Technologies in our stack include: Java, Spring, React, JUnit, Mockito, Git, Hibernate, and others.
• Digital mindset, curiosity about new technologies, and interest in understanding how Artificial Intelligence can transform processes, experiences, and outcomes.

Fullstack Developer, Java/React (Mid-level)

• Deliver effectively by solving problems with critical thinking and innovative ideas, contributing to the sustainability and continuous evolution of the product;
• Work autonomously in planning and executing tasks, supporting the team and mentoring more junior developers when needed;
• Actively participate in all stages of the software development lifecycle, from feature conception together with the product team to implementation, maintenance, and versioning of solutions;
• Develop solutions with attention to scalability, performance, code quality, security, and software architecture;
• Adopt and use Artificial Intelligence tools in the development process to support code writing, review and improvement, problem analysis, and productivity gains, always with critical judgment, technical responsibility, and alignment with the team's best practices.