Design and standardize access roles, segregation-of-duties controls, and joiner-mover-leaver rules, while improving user access reviews through automated IAM governance. Translate audit and regulatory requirements into engineering work, monitor identity-related risks and metrics, and partner with business and technical teams to reduce excessive or orphaned access.
The specialist will provide actionable insights and frameworks to optimize marketplace performance and growth. They will lead strategic projects, monitor KPIs, and present recommendations to stakeholders to influence decision-making.
The specialist will generate actionable insights and develop predictive models to optimize marketplace investment and user acquisition. They will also partner with stakeholders to translate data into strategic initiatives that drive growth and efficiency.
The Senior Performance Analyst will extract and analyze complex data to diagnose the onboarding performance of new partners. They will also develop and automate dashboards and lead projects to improve business indicators.
Develop, customize, integrate, and optimize Salesforce solutions and business processes, including automations, reports, and dashboards, while ensuring security, performance, and adherence to development standards. Lead architectural discussions, raise engineering standards, coordinate cross-team and partner initiatives, and support the platform's long-term scalability and maintainability.
Manage and resolve B2B partner demands via WhatsApp, phone, and ticketing platforms while providing personalized, humanized support. Act as a bridge between partners and internal teams to report systemic errors and suggest product improvements.
The role involves supporting the B2B sales team through data analysis, CRM management, and the creation of dashboards to optimize productivity. You will also design and scale processes for lead generation and outbound prospecting using data intelligence and AI tools.
Manage lead recovery and conversion funnels for partner brokers while operating proactive outbound cells to expand the business. Collaborate with growth and product teams on pilot projects and utilize AI tools to optimize operational processes.
The analyst will act as a technical reference for complex backoffice operations, ensuring the quality and efficiency of collections and evictions workflows. They are responsible for identifying process bottlenecks, implementing automation and AI solutions, and reporting performance metrics to leadership.
Lead global data teams to build scalable analytical solutions that support business decision-making and operational efficiency. Manage the technical lifecycle of data products while ensuring data integrity, governance, and high stakeholder adoption.
You will lead a design team and partner with cross-functional leadership to shape the product vision and deliver exceptional user experiences. Your role involves driving complex, cross-functional projects while ensuring high-quality design outcomes that align with business objectives.
You will drive design excellence through a hands-on approach while influencing strategic decisions and mentoring other designers. You will also leverage AI in your design workflow and collaborate with cross-functional leaders to shape the product roadmap.
You will manage the financial operations for the Legal & Corporate Affairs department, including payments, budget control, and invoice processing. Additionally, you will support the centralization of processes, generate performance indicators, and drive automation initiatives to improve operational efficiency.
Manage the end-to-end recruitment cycle for corporate and legal structures while acting as a strategic partner to managers and directors. Develop advanced sourcing strategies and utilize data-driven insights to optimize the selection funnel and ensure a high-quality candidate experience.
The role involves providing technical support to partner real estate agencies and managing the integration of property listings into the ecosystem. You will also analyze operational metrics and data to identify bottlenecks and drive process improvements.
Map automation opportunities and use AI tools to build scalable interfaces and workflows for the operations team. Support management in defining goals, building business models, and improving hunting team performance through dashboards and funnel management.
The specialist will manage and parameterize the CyberFinancial system to optimize debt collection operations and recovery strategies. They will act as a technical bridge between operations, engineering, and product teams to diagnose system issues and implement process improvements.
The Growth Intelligence Specialist will provide insights and analytical structures to increase the volume of property listings while ensuring economic efficiency. You will collaborate with cross-functional teams to diagnose performance bottlenecks and operationalize growth initiatives.
The specialist will generate actionable insights and develop predictive models to maximize marketplace investment impact and user acquisition. They will also partner with stakeholders to translate analytical findings into strategic initiatives that improve business efficiency and profitability.
You will lead a multidisciplinary team to protect operations against financial losses and fraud while driving new revenue streams through strategic projects. This involves building automated monitoring systems, managing compliance programs, and collaborating with cross-functional teams to scale new business initiatives.
You will build and maintain multi-year strategic financial models while integrating AI tools to optimize analytical workflows. Additionally, you will translate complex financial data into executive presentations and strategic recommendations for C-level leadership and investors.
The specialist will map and optimize end-to-end legal processes, identifying automation opportunities and managing financial data and budgets. They will also act as a key partner to finance and technology teams to ensure operational efficiency and data-driven decision-making.
The specialist will take ownership of complex analytical problems to design predictive models and experiments that drive organizational decisions. They will act as a bridge between Data Engineering and the People Team to provide strategic insights and mentor junior analysts.
Design, build, and operate end-to-end software products and integrations to enhance corporate functions like People and Legal. Collaborate with non-technical stakeholders to discover problems and implement automated solutions and data products.
Architect, develop, and deploy machine learning systems to production, specifically focusing on chatbots and search. Apply the scientific method to build LLM-powered applications and participate in Data Science chapter decisions.
Design, build, and maintain a scalable, secure data platform and end-to-end pipelines to empower data analysts and scientists. Lead the development of data modeling workflows and ensure the entire code lifecycle is monitored and documented.
Architect, develop, and deploy machine learning systems to production, specifically focusing on chatbots and search. Apply the scientific method to build LLM-powered applications and participate in Data Science chapter decisions.
Create solutions and automation to improve the daily workflow of over 500 engineers. Focus on enabling faster, higher quality, and more secure software delivery through best practices.
Design and build the foundational framework for the sustainable adoption of AI and hyper-automation across the company. Establish architectures, guardrails, and cost management mechanisms to enable autonomous and secure automation scaling.
Responsibilities include owning the development, testing, and deployment of assigned features, ensuring correct interaction with other services. The role also requires active participation in architecture discussions and contributing to team process improvements using Agile methodologies.
Architect, develop, and deploy machine learning systems to production, focusing on chatbots and search. Analyze various data types to improve models and create new ones, while applying the scientific method to develop LLM-powered applications.
The Business Analyst will collect, organize, and analyze information from various sources to understand business challenges. They will transform complex analyses into clear insights and recommendations to help teams make better decisions.
