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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.

What you will be doing
Pre-train and fine-tune video and image generative models to pursue state-of-the-art results.
Publish papers and open-source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficiency in training and inference phases.
Build new controls and capabilities into generative text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.

The Demand Generation team drives our companys B2B growth by turning awareness into measurable revenue. They manage large-scale paid campaigns across search and social, experiment continuously to optimize performance, and partner closely with Creative, Sales, and Analytics. Their work fuels the sales pipeline, expands global reach, and reinforces our companys position as an AI-powered marketing leader. As our B2B Demand Generation Team Lead, youll scale paid social and search with meaningful budgets. Youll reach decision-makers in various markets and convert attention into revenue.
What you will be doing
Lead & mentor team of Demand Generation Managers.
Own full-funnel demand gen across SEM (Google/YouTube) and paid social (LinkedIn, Meta, X) to hit MQL, SQL, pipeline and revenue targets.
Manage high budgets at scale across multiple geographies, plan, forecast, and pace spend for impact and efficiency.
Collaborate with the organic growth team to achieve the right balance between paid and organic acquisition.
Run continues experimentation: audience and keyword strategy, creative/messaging tests, bidding, landing pages, and conversion flows.
Lead ABM motions while collaborating with SDR/BDR and Sales.