iugu

Engineer

• Build and evolve ingestion and transformation pipelines on the current stack (Snowflake + dbt + Fivetran), ensuring reliable data for the whole company;
• Participate in migrating the legacy architecture (EMR/PySpark/Redshift) to the modern data stack, focusing on operational simplicity and data quality;
• Design semantic layers (staging, intermediate, marts) that serve both BI and feature needs for AI models;
• Monitor, diagnose and optimize data processing, proactively anticipating issues;
• Collaborate with Product, Risk, Finance and Engineering teams to translate business needs into sustainable data solutions;
• Use generative AI as a productivity tool in day-to-day work (code generation, documentation, debugging) — this is expected.

Senior Data Engineer

DevOps Engineer

• Ensure high availability and performance of systems;
• Monitor system performance in real time to identify issues before they impact users;
• Configure and manage monitoring tools;
• Collaborate with the Development team to continuously build and improve applications;
• Analyze logs and metrics to identify patterns and trends;
• Diagnose root causes of issues and implement solutions;
• Collaborate with other teams to resolve complex problems, documenting incidents to prevent recurrence;
• Implement automation tools and automate repetitive and manual tasks to free up time for more strategic activities;
• Create CI/CD pipelines to automate the software delivery process;
• Share knowledge and best practices with other teams;
• Stay up to date with the latest SRE and DevOps technologies and trends;
• Propose improvements to systems;
• Contribute to the development of more junior team members.

Senior DevOps

Product Marketing

• Plan and execute internal product communication strategies, ensuring all teams understand product positioning, features, and unique value propositions;
• For the value proposition acceleration front and in collaboration with the Sales team: be responsible for structuring trainings that provide the sales team with the knowledge and updates required for a results-oriented performance;
• Establish product launch governance, clarifying product capabilities so they can be offered to customers in the best possible way;
• Develop initiatives with the Sales team to reduce churn;
• Lead product launch and sustainment plans, organizing materials, messaging, and alignment rituals with partner teams;
• Produce strategic artifacts (presentations, user guides, training scripts, and enablement content) to disseminate product knowledge;
• Connect the product team with other areas, promoting understanding of the value proposition, sales messaging, and the customer journey;
• Conduct internal and customer listening sessions, converting feedback into improvements and insights for the roadmap;
• Monitor adoption, engagement, and NPS metrics, translating data into action plans and communication improvements.

Product Marketing Coordinator – PMM

Analyst

• As a Corporate Education Analyst, you will play a leading role in advancing corporate education, designing onboarding journeys (iuguers/third parties) and knowledge management.
• You will be responsible for turning educational data into insights, supporting Training & Development (T&D) decisions, integrating business areas, and driving innovation through personalized learning paths that increase the impact and engagement of learning.

Corporate Education Analyst – Senior

People Operations

• Estruturar e evoluir a agenda de People Analytics na organização;
• Definir e manter a governança de dados de pessoas;
• Garantir qualidade, consistência e confiabilidade das bases;
• Desenvolver e acompanhar KPIs estratégicos de pessoas (turnover, produtividade, absenteísmo, custo de pessoal, performance, sucessão etc.);
• Realizar estudos estatísticos e análises de correlação entre dados de pessoas e resultados financeiros;
• Participar de fóruns estratégicos trazendo análises e cenários;
• Conectar dados de remuneração, performance e estrutura organizacional.

Analista de Indicadores e Performance Sênior – People Analytics

• Act strategically in the management of fixed and variable compensation and organizational design.
• Ensure external competitiveness, internal equity and financial sustainability.
• Perform advanced analyses, policy governance and provide leadership support for decision-making.
• Align compensation practices with the business strategy.
• Conduct job analyses, evaluations and salary movements.
• Maintain and evolve job and salary structures, pay tables and movement policies.
• Conduct market studies, competitiveness analyses and internal equity assessments.
• Manage merit cycles, promotions, salary adjustments and organizational reviews.
• Serve as a technical reference for leaders and HR on compensation topics.
• Design, review and manage variable compensation programs and short- and long-term incentive plans.
• Support the calculation, governance and communication of incentive programs.

Senior Compensation Analyst

Revenue Operations

• Design and evolve the Revenue Operations structure
• Ensure integration across Marketing, Sales, Customer Experience, Architecture & Integrations, Product and Finance
• Establish management rituals, KPI governance and operational discipline
• Structure governance of the commercial pipeline (quality, reliability, consistency)
• Develop forecasting models to increase revenue predictability
• Support leadership in setting targets and assessing performance by vertical/segment
• Connect commercial growth to economic value creation
• Monitor profitability by customer/segment
• Identify contracts with negative margins or at risk
• Support commercial and pricing policies
• Identify bottlenecks in the sales → revenue journey
• Reduce operational friction between sales and activation (in partnership with Finance and Product)
• Structure the Revenue organization’s data model
• Build dashboards for pipeline, conversion, productivity, expansion and profitability
• Transform operational data into strategic intelligence
• Support training, processes and value proposition for commercial and customer success teams
• Define priority ICP, account segmentation and portfolio prioritization
• Reflect segmentation in the commercial operation
• Support the company’s verticalization
• Identify cross-sell, upsell and opportunity re-engagement opportunities
• Lead and develop the RevOps team (clarity, discipline, analytical standards)
• Balance long-term structural initiatives with critical operational demands
• Create a partnership culture with Revenue areas (RevOps as enablement and intelligence)

Head of Revenue Operations

Customer Support

• Active account portfolio management focused on retention and expansion;
• Development of structured account plans;
• Ongoing identification of cross-sell and upsell opportunities;
• Proactive management of churn risk;
• Leading renewals and repricing when necessary;
• Strategic collaboration with internal teams to unlock growth.

Senior Customer Success Analyst

Software Engineer

• Development of new features;
• Bug fixes;
• Design of technical solutions;
• Participation in meetings to define business rules;
• Work on systems that require high performance.