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Required Senior Data Engineer
Our Mission
Our mission is to help enterprise supply chain teams automate decisions, eliminate inefficiencies, and drive profitability by turning complex, disconnected data into actionable insights in seconds.
Job Summary:
As a Senior Data Engineer you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there. at our company, you are encouraged to think big and help out in other areas as well.
Key focuses:
Designing and writing code that is critical for business growth
Mastering scalability and enterprise-grade SAAS product implementation
Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
Review your peer's design and code
Work closely with product managers, peer engineers, and business stakeholders.

Required Data Operations & Annotations Manager
Our Mission
Our mission is to help enterprise supply chain teams automate decisions, eliminate inefficiencies, and drive profitability by turning complex, disconnected data into actionable insights in seconds.
Role Overview:
As a Data Operations & Annotations Manager, you will be responsible for building and managing a small foundation data operations and annotation team, establishing processes dealing with a diverse set of data sources (e.g. images, text, floorplans, etc.), overseeing the data pipeline, annotation pipeline, and ensuring high-quality labeled data for AI/ML models. You will work closely with data scientists, engineers, and product managers as part of the R&D team to refine annotation guidelines, monitor performance, and implement process improvements.
This is a hands-on role at the intersection of research, data science, and operations ideal for someone who thrives in fast-paced, cross-functional environments.
Key Responsibilities:
Own and optimize the end-to-end data flow across internal systems and platforms.
Build, manage, and mentor a team working across diverse data types: images, text, floorplans, and more.
Define, refine, and enforce annotation guidelines and quality standards.
Monitor data quality metrics, accuracy, consistency, and edge case handling.
Act as a player-coach: participate directly in annotation tasks while overseeing daily operations.
Identify and recommend tools and technologies to optimize workflows.
Collaborate with ML engineers and data scientists to optimize processes.
Identify and implement tools, technologies, and process improvements in close collaboration with ML engineers and data scientists to optimize end-to-end workflows.

Required Senior Data Engineer
What You'll Do:
Shape the Future of Data- Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

A global leader in performance marketing, is looking for a talented Data Operations Manager to join us on our mission to simplify decision-making for millions!
What You'll Do
Responsibilities
The job consists of processing sales data from our business partners to our internal systems, validating and creating accurate analytics and financial reports.
Being a part of the monthly billing cycle.
Be a critical focal point to internal key users, product managers, bizdev, campaign managers, etc.
Own the data development process end-to-end including business understanding, methodology, QA, and integration maintenance.
Working with various systems such as Salesforce, Tableau, Jira, Monday, Slack and other internal systems.

we are a pioneering startup transforming the world of retail through next-generation IoT. Our platform bridges the physical and digital realms by leveraging battery-less BLE tags that stream real-time data to a powerful cloud platform via in-store wireless networks. This continuous data flow enables retailers to unlock unprecedented insights, optimize operations, and elevate the customer experience like never before.

Were on a mission to make every item in the store "talk" and we're just getting started.

We are looking for a hands-on and strategic Team Leader to head our Data Science & Machine Learning team. This is a high-impact leadership role where youll guide a growing team of Data Scientists and ML Engineers tackling some of the most complex and unique challenges in retail analytics from recommendation engines and time series forecasting to signal processing, clustering, and beyond.

You'll be responsible for shaping the teams roadmap, championing innovation, and translating business challenges into scalable, production-grade ML solutions, powered by our company rich and continuous IoT data streams.

Responsibilities
Lead & Inspire: Manage and mentor a talented team of Data Scientists and ML Engineers, fostering a culture of collaboration, ownership, and technical excellence.
Drive ML Strategy: Define and own the teams roadmap, aligning it with company goals and product direction.
Deliver Impact: Guide the team through the full ML lifecycle from business understanding and data exploration to model development, validation, deployment, and monitoring.
Establish Best Practices: Implement and advocate for high standards in experimentation, model management, reproducibility, and delivery.
Cross-Functional Collaboration: Partner with Data Engineering, Product, and Business stakeholders to define priorities, understand requirements, and deliver actionable, measurable outcomes.
Research & Innovate: Stay on top of the latest advancements in ML and apply state-of-the-art techniques to drive product innovation and value.
Translate Complexity: Communicate sophisticated ML concepts clearly to a wide range of audiences from executives to engineers to customers.

the all-in-one platform for hospitality businesses to automate and optimize every aspect of their operations. With purpose-built technology, industry-wide expertise, and an R&D team of 200+ engineers, ensures that hospitality businesses can streamline and achieve growth while delivering the best value to guests. With a complete suite of features and 150+ industry partners, including major booking OTAs like Airbnb, Vrbo, Booking.com, Tripadvisor, Expedia, Hopper, Google Travel, and many more, transforming the hospitality industry with innovative solutions.

Today, has 15 offices and 700+ team members across the globe.
We are seeking a seasoned and strategic Head of Analytics to lead and manage our team of analysts while contributing hands-on to the performance analytics domain.

This is a high-impact role requiring a blend of analytical expertise, leadership skills, and business acumen.
You will take ownership of performance analytics by tracking company KPIs, analyzing performance metrics, and providing actionable insights and predictions on business performance. Additionally, you will collaborate with cross-functional teams to promote a data-driven decision-making culture and ensure alignment with strategic goals.

Responsibilities
Manage and mentor a high-performing analytics team, fostering growth and collaboration. Define team objectives and ensure alignment with business priorities.
Partner with executive leadership to identify opportunities to leverage data for strategic business decisions.
Drive high standards of data quality and governance, ensuring the accuracy and reliability of insights.
Partner with data engineering to optimize data pipelines and analytics infrastructure.
Collaborate closely with internal stakeholders and teams to deliver impactful insights that drive alignment with company objectives.
Ensure clear communication and alignment of analytics priorities across stakeholders.
Utilize strong SQL skills to engage directly with data, build queries, and support complex analyses.
Oversee the creation and maintenance of dashboards, reports, and KPIs to monitor performance across all business functions.
Identify trends, anomalies, and opportunities to inform decision-making and drive continuous improvement.