Sólides

Revenue Operations

• Garantir a melhoria do plano de negócios da empresa através de análises e investigações aprofundadas da operação de receita
• Apoiar o estabelecimento de metas precisas e abrangentes em toda a organização
• Desenhar e implementar planos táticos interdepartamentais, garantindo que a jornada do cliente seja gerenciada como um fluxo dinâmico interdependente
• Acompanhamento e Análise de negócios, equipes e desempenho individual de acordo com o Plano de Negócios
• Analisar o dia-a-dia do negócio com foco na melhoria de desempenho
• Desenvolver relatórios para a equipe gerencial em todos os assuntos de importância relacionados à estratégia e operação
• Suporte a coordenação da área em atividades necessárias para escalabilidade dos resultados

Analista de Revenue Ops

Analyst

• Negotiate with customers who have requested cancellation, presenting the product's value proposition and proposing retention solutions.
• Work closely with the Customer Success (CS) team to develop win-back strategies.
• Negotiate with customers requesting plan downgrades, seeking the best solution for both the company and the customer.
• Assist in creating campaigns focused on customer recovery (win-back).
• Maintain thorough knowledge of Sólides' solutions and an understanding of HR processes and day-to-day HR operations.
• Assist in collecting inputs and data on reasons for cancellation.
• Use daily learnings to continuously improve Retention team processes: propose solutions, gather feedback, and analyze customer recovery metrics.
• Ensure excellent customer service by following company playbooks and processes. Drive the renewal processes.
• Keep the CRM updated with reliable, up-to-date information; share and provide customers with relevant content about the solutions.
• Support management with predictive actions related to cancellations, offering ongoing feedback on the current scenario and seeking improvements.
• Support direct management in matters related to your area of responsibility by identifying and discussing issues and irregularities to inform the definition of procedures and actions to be taken.

Junior Retention Analyst

AI Engineer

• Integrate AI models (such as LLMs) into applications using APIs, SDKs, and libraries
• Develop applications and APIs focused on Generative AI (chatbots, translation, sentiment analysis, and other features)
• Develop conversational intelligence. Build and maintain scalable microservices with attention to performance and efficiency
• Monitor AI solutions in production, ensuring stability, security, and reliability
• Collaborate with cross-functional teams, including engineering, data science, and product
• Implement agent logic and workflows using frameworks like LangChain or Botpress
• Refine prompts and adapt AI models for different contexts and needs
• Architecture and integration with commercial systems

AI Engineer, Mid-level

• Implement improvements to accounting routines involving system integrations and the elimination of manual tasks
• Perform the monthly accounting close, ensuring the accuracy and reliability of reported figures
• Prepare and file SPED accounting reports (SPED Contábil)
• Ensure correct accounting of all transactions, reviewing and correcting any discrepancies
• Perform account reconciliations, keeping supporting documentation organized and available
• Prepare annual financial statements
• Participate in meetings and presentations to report results
• Promote and implement the use of AI within the accounting department
• Collaborate with other departments by providing technical support and guidance
• Develop policies and manuals necessary to document day-to-day accounting procedures.

Senior Accounting Analyst

Full-stack Engineer

• Develop and maintain software features, proposing improvements and refactorings when necessary.
• Be actively present in the company's communication channels.
• Take an active role in technical development, suggesting tools and technologies.
• Collaborate with the team, support colleagues and participate in alignment meetings.
• Use tools such as Azure DevOps and GitLab for version control and task organization.
• Ensure code quality with automated tests (unit, integration and mutation).
• Participate in code reviews and contribute to technical standards and best practices.
• Estimate and mitigate risks in complex tasks.
• Assist in onboarding and the technical growth of less experienced professionals.

Senior Fullstack Software Engineer

Customer Success Manager

• Planning email marketing campaigns with specific objectives
• Creating basic performance reports for CRM campaigns
• Data analysis focused on specific goals, such as improving conversion
• Supporting simple projects (e.g., product launches or promotions) and coordinating with other analysts to track tasks
• Setting up, creating, and proposing strategic segmentations
• Executing communications across channels (email marketing, SMS, WhatsApp)

Junior CRM Analyst

Operations

• Analyze and optimize sales processes
• Create reports and dashboards to monitor sales team performance
• Assist in implementing sales ops tools
• Identify opportunities to improve sales strategies
• Collaborate with sales teams to achieve goals and objectives.

Sales Ops Analyst

Marketing

• Source potential educational partners, such as higher education institutions (HEIs) and innovation hubs.
• Lead negotiations and define relevant counterpart commitments and commercial terms for the business.
• Monitor the implementation of partnerships.
• Co-produce content with educational partners.

Educational Marketing Analyst – Junior

Threat Intelligence Specialist

• Pricing & Monetization Modeling: Develop and maintain pricing models for the portfolio (SaaS and services), ensuring the right balance between market share and contribution margin
• Packaging Architecture: Design how our products (Recruiting, Time & Attendance, Payroll, Benefits) combine into plans and bundles, focusing on reducing sales friction and maximizing cross-sell
• Competitive Monitoring: Perform continuous tracking of prices, portfolio moves and promotions from the main HR Tech and ERP players in Brazil
• Elasticity and Sensitivity Analysis: Conduct impact studies for price list adjustments and new billing models, forecasting effects on metrics such as Churn and ARPU
• Strategic GTM Support: Provide data and analytical insights to the Product Marketing team throughout the product lifecycle
• Discount Intelligence: Analyze the effectiveness of commercial policies and discount approval levels, proposing optimizations to prevent price erosion
• Unit Economics Analysis: Monitor the correlation between pricing and business metrics (LTV, CAC, Payback, MRR, etc.)

Market Intelligence Analyst – Pricing & Packaging

Support Engineer

• Customer/user support
• Logging and tracking support tickets
• Diagnosing and resolving issues
• Training and guiding users
• Preparing documentation for system routines

Analyst, Payroll Support – Junior

• Develop and maintain software features
• Be actively present in communication channels
• Actively participate in technical development
• Collaborate with the team and support colleagues
• Use tools such as Azure DevOps and GitLab
• Ensure code quality with automated tests
• Participate in code reviews
• Estimate and mitigate risks in complex tasks
• Assist in onboarding less experienced professionals

Fullstack Software Engineer

Engineer

• Perform software maintenance
• Develop new features
• Support the Product team in designing new solutions and conducting technical feasibility analyses
• Participate in ceremonies - daily stand-up, review, retrospective
• Track requirements together with the Product team
• Contribute suggestions for new tasks together with the Product team
• Develop tests in partnership with the QA team
• Define development standards
• Decide on architectural patterns (layers, services, integrations, etc.)
• Ensure generated code follows best practices for performance, scalability, and security
• Support and serve as a technical reference for junior and mid-level developers
• Identify and propose improvements

Senior Software Engineer – GeneXus

QA Engineer

• Collaborate with development teams from conception through delivery
• Analyze requirements, user stories, and acceptance criteria, ensuring clarity and quality
• Define testing strategies (functional, exploratory, regression, integration, etc.)
• Create and maintain automated tests
• Support Team Managers (TMs) and Product Managers (PMs) in decision-making using quality metrics
• Identify technical and functional risks and propose preventive actions
• Contribute to the continuous improvement of quality processes and practices
• Help strengthen a culture of quality across the team

Software Quality Engineer

Data Analyst

• Conduct exploratory, diagnostic and explanatory analyses to identify patterns, trends and opportunities for improvement
• Support decision-making through business-oriented insights, connecting data to practical actions
• Develop recurring and ad hoc analyses for areas such as Finance, RevOps, Product and the Executive Board
• Formulate hypotheses, define monitoring metrics and evaluate results
• Create and maintain dashboards and executive reports, ensuring clarity, consistency and conceptual alignment
• Collaborate on defining and tracking KPIs and business metrics, in partnership with Analytics Engineers
• Ensure analyses and visualizations accurately reflect official data and analytical models
• Support executive presentations, translating data into clear narratives
• Validate analytical results, identifying inconsistencies and aligning concepts with technical teams
• Document analyses, metrics and assumptions, contributing to standardization and reuse
• Use the governed analytics layer as the foundation for analyses and dashboards
• Support the continuous evolution of the company’s analytical solutions

Senior Data Analyst

Data Engineer

• Design, develop, and maintain robust, scalable data pipelines, ensuring integrity, performance, and availability
• Work on ingestion, transformation, and integration of data from multiple internal and external sources
• Actively contribute to the evolution of the data architecture, applying modern architecture principles (Lakehouse, data layering, distributed processing)
• Build data infrastructure that supports growth, new products, and analytical demands with security and governance
• Support analytical data modeling, ensuring technical structures correctly support business metrics and KPIs
• Collaborate with Analytics Engineers and Data Analysts to enable consistent, reusable, and high-performance models
• Ensure that data delivered for analytical consumption maintains quality standards and traceability
• Implement and evolve pipeline monitoring and automated data validations, performing troubleshooting when necessary
• Adopt best practices for data testing, versioning, and technical documentation
• Act as a technical lead, supporting team development and the adoption of engineering standards