Troveo AI, Inc.

About the job About Troveo Troveo is the largest licensable video library for AI model training. We partner with thousands of content licensors—ranging from top-tier studios and production houses to leading YouTube creators—to supply video content to the world’s foremost research labs. Our mission is to rapidly deliver massive volumes of video content, to exact specifications, fueling next-generation generative and world-understanding AI models. Role Description This is a full-time remote role for a Senior Accounting Manager. The Senior Accounting Manager will be responsible for overseeing and managing the preparation of financial statements, ensuring compliance with accounting standards, and monitoring and analyzing financial data. Daily tasks will include performing journal entries, managing fixed assets, and preparing financial reports. Additionally, the Senior Accounting Manager will collaborate with finance and operations teams to ensure accurate financial records and provide insights for strategic decision-making. Responsibilities - Perform month close processes, including preparation of journal entries and account reconciliations - Daily cash flow monitoring and reporting - Work cross-functionally to help create and facilitate efficient processes that focus on accounting compliance - Investigate and analyze means to improve profitability - Review and process payments using A/P software - Assist in planning and forecasting activities with business partners to achieve business and company goals - Review financial reports Required Qualifications - Proficiency in Microsoft Excel - Experience in using accounting software and tools - Bachelor’s degree (B.A.) in Accounting, Business or a related field; or equivalent combination of education and experience - Knowledge of month-end close accrual process - Experience in analyzing financial data and creating financial charts and graphs - Experience in conducting account reconciliations of A/P, bank and credit cards - Experience in processing A/P of at least 50 invoices per week - Experience in preparing financial statements and performing journal entries - Excellent written and verbal communication skills Nice to Have - CPA or relevant certification - Experience with Ramp, Quickbooks, and TriNet - Experience working inside a start-up environment, ideally 5+ years What We Offer - An opportunity to work with cutting-edge technologies in the cloud serving the biggest companies in tech building the next generation of AI models - A collaborative environment with a talented, diverse team of engineers and data experts - Competitive compensation and benefits with room for career growth and professional development

We’re seeking a product-oriented Full Stack Software Engineer with strong front-end skills and a passion for building user-centric features. In this role, you’ll collaborate closely with our product and design teams to deliver engaging, data-driven experiences, primarily through front-end development in Ruby on Rails, JavaScript, and React. Responsibilities - Front-End Development: Build responsive, intuitive interfaces in JavaScript and React that display complex analytics and user insights. - Back-End Collaboration: Integrate with Ruby on Rails services to ensure seamless data flow and functionality across the stack. - Database Management: Work with PostgreSQL to design, query, and optimize databases for product features and analytics dashboards. - Cloud Services: Work with cloud services such as Heroku, AWS, and Postgres ensuring high availability and performance. - Product Orientation: Work closely with product managers to turn user needs into practical, maintainable solutions. - Collaboration & Best Practices: Participate in code reviews, share knowledge, and follow best practices for clean, maintainable code. Required Qualifications - Ruby Expertise: Hands-on experience building applications with Ruby (preferably Ruby on Rails). - Front-End Proficiency: Strong knowledge of React (or similar frameworks) and a keen eye for UI/UX details. - Analytics Experience: Proven track record of creating or integrating analytic dashboards or data visualizations. - Database Skills: Familiarity with PostgreSQL, including writing optimized queries. - Cloud Platforms: Experience deploying and maintaining applications on AWS, Heroku or similar. - Team Player: Effective communication and collaboration skills, working alongside product and design teams. Nice to Have - Testing & CI/CD: Experience with automated testing frameworks, CI/CD pipelines, or containerization. - Performance Tuning: Familiarity with scaling and optimizing Ruby on Rails applications. What We Offer - An opportunity to drive product direction through close collaboration with cross-functional teams. - A supportive environment that encourages continuous learning and growth. - Competitive compensation package, including benefits and remote work flexibility. - The chance to join a passionate, mission-driven team focused on delivering impactful analytic solutions. - Work from home with the option of meeting up occasionally if you're in the SF Bay Area.

Troveo is the largest licensable video library for AI model training. We partner with thousands of content licensors—ranging from top-tier studios and production houses to leading YouTube creators—to supply video content to the world’s foremost research labs. Our mission is to rapidly deliver massive volumes of video content, to exact specifications, fueling next-generation generative and world-understanding AI models. Data Engineering is central to our success. Each week, we process petabytes of video data—quickly, cost-effectively, and with uncompromising quality. As a data engineer at Troveo, you’ll focus on: - Lowering costs and reducing turnaround times for processing content. - Enhancing and transforming video data for our customers, to make it easier to discover and more valuable. We are seeking a Principal or Senior Data Engineer with demonstrated expertise in Python and large-scale data management. Practical experience with AWS services (S3, EC2, etc.), search, and large databases is essential. Familiarity with video data is a plus, but not required. Responsibilities - Data Pipeline Development: Design, build, and maintain scalable, efficient data pipelines in Python. - AWS Ecosystem: Leverage services like S3 for data storage (including multiple tiers of storage) and EC2 for compute (currently running clusters of 50k G instances), retrieval, and processing in production environments. - Big Data Handling: Develop and optimize systems to handle petabyte-scale datasets with a focus on performance, reliability, and cost-effectiveness. - Metadata Generation: Leveraging self-hosted open source LLMs and managed APIs to generate reliable metadata to power discovery and enhance the value of the content we deliver. - Discovery: Building from the ground up search capabilities leveraging visual, semantic and taxonomic data to deliver the right content to our customers. - Monitoring & Reliability: Implement robust monitoring, alerting, and logging to ensure smooth data flow and quickly troubleshoot issues. - Collaboration: Work cross-functionally with data scientists, software engineers, and product teams to understand data needs and deliver optimized solutions. - Video Processing (Preferred): If applicable, process and manage video data for analytics, quality control, and other use cases. Required Qualifications - Python Proficiency: Strong coding skills in Python (including familiarity with libraries for data manipulation and analysis). - AWS Expertise: Hands-on experience using core AWS services (S3, EC2, possibly Lambda, EMR, or ECS). - Big Data Skills: Demonstrated ability to work with large-scale datasets (petabyte-level), ensuring high performance and scalability. - Database & Storage: Familiarity with large Postgres databases. - Automation & Scripting: Comfortable building CI/CD pipelines and automating repetitive tasks. Nice to Have - Video Processing: Experience handling or transforming video data (e.g., transcoding, extracting metadata, compiling FFMPEG). - Machine Learning Pipelines: Familiarity with ML and Computer Vision workflows or frameworks (OpenCV, TensorFlow, PyTorch, etc.). - Security Best Practices: Understanding of AWS IAM, encryption, and SOC II compliance standards. What We Offer - An opportunity to work with massive data sets and cutting-edge technologies in the cloud serving the biggest companies in tech building the next generation of AI models - A collaborative environment with a talented, diverse team of engineers and data experts. - Competitive compensation and benefits with room for career growth and professional development. - This job is remote/work from home with the option of meeting up from time to time if you are located in the SF Bay Area.