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What you will be doing
Strategic Business Partnering: Serve as a senior financial advisor to executive leadership and department heads; provide high-level financial support and decision-making analysis to drive business strategy.
Budget Leadership: Lead, build, and manage the global budget planning and rolling forecast processes, ensuring transparency and cooperation with various global departments to help them achieve their strategic objectives.
Performance Analysis: Oversee the collection and analysis of financial, performance, and efficiency data across the company; create sophisticated reports that provide data-driven answers to complex business strategy dilemmas.
Forecasting & Reporting: Own the consolidation and presentation of monthly and quarterly financial reports, forecasts, and Board decks, ensuring accuracy and narrative clarity.
Process Optimization: Acquire a deep understanding of business operations to identify risks and opportunities; drive process improvements to optimize financial performance and operational efficiency.
Agile Execution: Provide high-quality results and strategic insights within short timelines to support urgent business needs and dynamic market conditions.

What youll be doing
As a BI Engineer on our team, you'll collaborate with talented professionals dedicated to pushing boundaries and creating advanced solutions. You'll also play a key role in pioneering the adoption of cutting-edge AI-driven tools and processes, proactively advocating for innovative solutions, LLM-based scripting, and efficient AI workflows. Your early-adopter mindset will be essential in shaping the future of data-driven excellence at our company.
Collaboration and Communication: Work closely with data analysts, data scientists, tech, finance and business stakeholders to understand their data requirements to build and deliver data infrastructure, reports and insights that meet their needs.
ETL Processes: Develop highly scalable complex data pipelines to integrate data from multiple sources, ensure that data is accurately extracted from source systems, transformed into the required format, and loaded into the data warehouse (DWH) (using DBT, Git). It also includes verification and monitoring of data quality (Elementary).
Implement GenAI solutions: As part of the job, you will implement new solutions and tools to improve the efficiency of the teams, support self-service for the users and provide insights easily, automatically and quickly.
Data modeling: Responsible for the model, design, implementation, maintenance and improvement of the data warehouses, as well as ensuring the integrity and security of data. Support users needs, including performance and monitor cost
Business Analytics Tools: Design and implement BI tools across the company. Troubleshooting and optimizing the tools and systems to improve performance. This includes ensuring that the reports and dashboards are running efficiently and meeting the user's needs (using ThoughtSpot, Hex)
Staying Updated with Industry Trends: Keep up with the latest trends and technologies in data solutions, analytics and business intelligence to ensure that our company stays ahead in leveraging data for business decisions. Continuously questioning assumptions, processes, and outcomes to uncover hidden opportunities or potential issues.

What you will be doing
Manage investors and VIP external meetings for the CFO.
Manage complex calendars and meeting schedules for two C-level executives.
Coordinate internal and external meetings, anticipate needs, and resolve conflicts proactively.
Prepare agendas, take notes, and summarize meetings with clear action items.
Track progress and participate in the coordination of initiatives across HR processes and ensure timely follow-ups.
Support CHRO in the creation of presentations, reports, and materials as needed.
Support CHRO's day-to-day operations and cross-functional communication between teams.
Assist CHRO with budget tracking or approval processes when required.
Handle sensitive information with professionalism and discretion.

What you will be doing
As the ML Platform Engineering Manager, you'll lead a team of backend engineers building our company's AI infrastructure. Your team bridges research and production, taking cutting-edge ML and generative AI models from our research teams and turning them into scalable systems that power AI features for millions of users.
The ML Platform team owns the complete AI pipeline - from research prototype to production deployment. You'll build and maintain a high-performance inference platform that serves models at scale, enabling faster research iteration and seamless user experiences across our apps.
This role requires both technical leadership and people management skills. You'll make key architectural decisions for complex distributed systems while growing and mentoring your engineering team. Success means delivering reliable, scalable AI infrastructure that supports our rapid growth in a fast-paced environment.