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Join our AI team to drive mobilitys future! As Data Analyst & Operations Manager, youll optimize data workflows, lead annotation, and enhance algorithm performance to advance Vision AI.
RESPONSIBILITIES:
Model Evaluation
Work closely with the research team to evaluate model performance and define optimal operating points using precision, recall, and other ML evaluation metrics.
Annotation Management
Oversee annotation processes and manage the annotation team to ensure high-quality labeled data and streamlined workflows.
Database Management
Manage and maintain internal research databases for data-driven decision-making.
Cloud Infrastructure
Develop, maintain, and optimize cloud-based data infrastructure (AWS, GCP).
Benchmarking Framework
Build and maintain a benchmarking framework for continuous algorithm performance evaluation, including human-in-the-loop pipelines.
Dataset Curation
Curate training and testing datasets by querying databases and annotations, and by running data quality and auto-labelling tools.
Model Execution
Run algorithms and deep-learning models at scale.

We are looking for a NOC Engineer.
The NOC (Network Operation Center) engineer is responsible for monitoring and supporting company production systems.
He/She will verify service availability, send out status updates, identify root causes of production issues, coordinating operations and engineering teams in order to identify errors and anomalies.

We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Data Team
our companys Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day
Were looking for a Product Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. The product Growth Analyst role is embedded within product teams and drives impact end-to-end through the product development life cycle.
You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of our company.
What you will be doing
You will work closely with Product teams and your responsibilities will include:
Analyze user behavior and product usage to identify customers needs to inform product development and strategy.
Collaborate with the Product team, to define KPIs and measure the impact of product development on performance.
Measure features adoption and retention and identifies opportunities for growth..
Design, execute, and analyze A/B tests to measure the impact of product changes and refine strategies.
Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
Play a key role in understanding our users and their needs.
Lead the development of innovative data products.
Stay updated on industry trends and best practices in data analysis and product optimization.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Data Team
our companys Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day
Youll design and build robust data models and pipelines, transforming raw data into reliable, actionable insights. Youll collaborate closely with stakeholders across the company to understand their needs and deliver data solutions that drive strategy and operations. From writing clean, well-tested DBT models to monitoring data quality and performance, your work will have a direct impact on decision-making. As the team grows, youll also help shape best practices and scale our modern data stack.

A groundbreaking technology company changing the banking system is looking for a Senior Back-end Engineer to join the ride.
If you are an experienced, professional, Back-end engineer who likes challenges, working with the best, and wants to be part of an industry-disrupting company, please apply to join our journey in building the next big thing in finance.
Responsibilities:
You, as our Senior Backend Engineer you will be responsible and lead the following:
Lead and take end-to-end ownership of entire product development, be part of a multidisciplinary team
Take part in or lead architectural decisions and discussions
Review code developed by others, and provide feedback and mentoring to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)
Solve complex business processes, create object models, define APIs, build web services, and more
Triage production and system issues, prioritize, track, debug, and solve with stakeholders and other team members
Work directly with others (engineers and other internal stakeholders) to develop a solid understanding of the business application and requirements for which the application is being designed
Be part of building a scalable and agile R&D organization by helping define and create the right tools and processes

We're seeking an outstanding and passionate Data Platform Engineer to join our growing R&D team.
You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping Finaloop's data infrastructure at the forefront of Fintech and AI.
What you'll do:
Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform.
Develop and optimize data infrastructure to support real-time analytics and reporting.
Implement data governance, security, and privacy controls to ensure data quality and compliance.
Create and maintain documentation for data platforms and processes
Collaborate with data scientists and analysts to deliver actionable insights to our customers.
Troubleshoot and resolve data infrastructure issues efficiently
Monitor system performance and implement optimizations
Stay current with emerging technologies and implement innovative solutions
Tech stack: AWS Serverless, Python, Airflow, Airbyte, Temporal, PostgreSQL, Snowflake, Kubernetes, Terraform, Docker.

We are looking for a Machine Learning Engineer.
Responsibilities:
Join Finaloops core activities, contributing to impactful data development and insights retrieval projects.
Collaborate closely with domain experts and developers to enhance data-driven features.
Own and manage data features throughout their lifecycle, including design, implementation, monitoring, and iteration.
Define and track key performance indicators (KPIs) for the team and the company, promoting a data-driven approach.

We're looking for a hands-on, tech-savvy Inbound Product Manager to join our R&D team and lead the development of internal products that power our digital marketing operations.
In this role, youll sit at the crossroads of product, business, and tech, collecting and translating business needs into smart product specs, working closely with developers, designers, analysts, and stakeholders to bring real impact to life.
What Youll Be Doing:
Collect and translate business needs into detailed, structured PRDs and technical documentation.
Define and manage incoming product requests from stakeholders across departments.
Work closely with R&D, designers, QA, and data teams to define and prioritize backlog items and sprint planning.
Conduct end-to-end specification work: from high-level business requirements to low-level technical flows and table structures (ERD).
Partner with data analysts to define KPIs and ensure data needs are met strong hands-on SQL skills required.
Conduct root cause analysis and troubleshooting for product-related issues.
Manage cross-team processes and ensure smooth execution and integration between business, tech, and design.
Own documentation quality and completeness throughout the product lifecycle.
Present product decisions, technical progress, and insights to senior management and onboard internal stakeholders.
Interview internal stakeholders to gather inputs and validate needs.

We are looking for a Senior Marketing Analyst.
Responsibilities:
Insight Generation: Analyze and interpret complex marketing data (customer behavior, campaign results, market trends) to identify key insights and opportunities for optimization.
Data Exploration: Leverage large and diverse datasets to uncover patterns, trends, and potential growth drivers across all marketing channels and initiatives.
Performance Optimization: Monitor key performance indicators (KPIs) to evaluate campaign effectiveness, identify areas for improvement, and drive continuous optimization of user acquisition and engagement efforts.
Reporting & Dashboards: Design, develop, and maintain intuitive dashboards and recurring reports that effectively communicate key findings and recommendations to stakeholders and leadership.
Cross-Functional Collaboration: Partner closely with marketing managers, product teams, analysts, and data engineers to provide analytical support for strategic decision-making and business planning.
Advanced Analytics: Apply advanced analytical and statistical techniques (e.g., regression analysis, cohort analysis) to identify growth opportunities and improve marketing ROI.
Process Improvement: Proactively identify opportunities to optimize marketing analytics processes, automate reporting, and enhance data accuracy.

We are looking for a BI Analyst to join our community!

As a BI Analyst, you will play a key role in transforming data into actionable insights that support strategic and operational decision-making across the company. Youll work closely with stakeholders from various departments to understand business needs, translate them into analytical requirements, and deliver clear, meaningful reports and dashboards. Your work will help drive performance, uncover opportunities, and ensure teams are aligned around trusted data.

Responsibilities:
Build and own the first inhouse Sales Analytics platform, aiming to generate the Source of Truth for our business decision making.
Design, create and maintain business dashboards, reports and visualizations
Work with stakeholders to gather requirements from teams across the organization to consolidate definitions and derive metrics.
Create and maintain documentation for all of the above.
Communicate data to stakeholders with the goal of allowing data driven decision making.

We are seeking a highly skilled and experienced Senior Software Developer to join our team. As a Senior Software Developer, you will be responsible for designing, developing,
and maintaining the backend components of our software applications.
**Working in a hybrid model! ( two days from the office, three days from home. )**
Responsibilities:
Designing and developing SaaS application from concept to deployment.
Collaborating with cross-functional teams to gather requirements and define project objectives.
Developing efficient and reliable backend systems using Java, and other related technologies.
Design and implement efficient, reusable, and scalable backend and frontend features
Optimizing application performance and ensuring scalability and reliability.
Creating and maintaining databases, writing efficient queries, and ensuring data integrity.
Collaborating with other developers and teams, participating in code reviews to maintain code quality and best practices.
Leading and contributing to proof-of-concept initiatives focused on artificial intelligence applications, demonstrating the feasibility and value of AI solutions for business challenges.
Practicing in modern AI driven development methodologies
Staying up to date with emerging technologies and trends in software development.