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We are looking for a Data Researcher to join the Foundation Entities team, part of the Ingestion division.
The Foundation Entities group is where data meets reality. We model POIs (venues and complexes), chains, markets, and other foundation entities, tackling the challenge of turning billions of signals into a living, evolving database of the physical world. Our work powers the insights, products, and innovations that define us.
This role goes beyond traditional analytics. You will work with large-scale datasets, apply advanced analytics and statistical methods, and design scalable solutions that replace manual processes with automated, data-driven services. You will collaborate closely with engineers, data scientists, and product stakeholders, contributing directly to the accuracy, scalability, and innovation of our foundational data.
RESPONSIBILITIES:
We expect our analysts to be self-driven, capable of working independently with multiple stakeholders, and comfortable managing several projects in parallel.
Key responsibilities include:
Analyzing and improving the quality, coverage, and scalability of POIs, chains, and other foundation entities.
Developing metrics, monitoring, and validation tools to ensure data reliability and automation at scale.
Conducting applied research and testing hypotheses to replace manual workflows with data-driven processes.
Researching and integrating external data sources (business listings, APIs, open data, etc.) to enrich entity datasets.
Communicating insights and recommendations clearly to both technical and non-technical audiences.

Were looking for a Product Designer who thinks, works, and designs with AI. Someone whos not just excited about AI-powered features but already uses AI tools in their daily design workflow.

This is a unique opportunity to design GenAI-based features and products while shaping the future of inclusive AI experiences.

Your role: building AI-powered, human-centered experiences

You own the design of AI-powered features and end-user experiences across our products, with a focus on usability, clarity, and impact
You use AI tools (like ChatGPT, Figma Make, Cursor, Bolt, Loveable.ai, Base44 and more) as part of your daily creative process from ideation and wireframing to content generation and design optimization
You collaborate with product managers, engineers, and data or ML teams to create smart, intuitive, and accessible interfaces that are built on AI capabilities
You translate PRDs and GenAI feature specs into experiences that feel simple, safe, and empowering even when the underlying tech is complex
You push boundaries actively experimenting with what AI can enable in product design, both in terms of user experience and your own internal workflows
You combine human-centered thinking with machine-enhanced creativity, constantly exploring ways to improve speed, insight, and output quality using AI
Bonus if you can demonstrate initiative in developing internal tools or plugins that improve design workflows for example: building custom Figma plugins, prototyping with APIs, automating QA tasks, or building mini apps for internal collaboration

Were looking for a Senior Data Analyst to help ensure the quality, completeness, and integrity of our foundational data. Youll work closely with data engineers, product managers, and operations teams to monitor pipelines, evaluate new data sources, design performance metrics, and derive insights that improve our entity models and customer outputs.
This role is ideal for a highly analytical and independent thinker who enjoys working with complex data ecosystems and translating messy real-world data into actionable insights.
RESPONSIBILITIES
Data Quality & Metrics
Define and maintain KPIs and quality metrics for POI and chain data accuracy, coverage, and freshness.
Monitor large-scale ingestion and enrichment pipelines, identifying anomalies, data drifts, or source inconsistencies.
Operational Analytics
Design dashboards and tools to track data health, system performance, and SLA compliance.
Provide visibility into the performance of automated systems and manual processes across the Foundation domain.
Cross-functional Collaboration
Work with engineers to validate and optimize merge, enrichment, and geocoding logic.
Partner with product and operations to assess the impact of data changes on downstream systems and customer-facing products.
Exploration & Research
Evaluate new data providers, test hypotheses about data behaviors, and contribute to decision-making for third-party integrations.
Develop data-driven recommendations to improve POI modeling and chain linkage accuracy.

We are looking for an R&D Group Leader to take ownership of our most critical technology efforts, shape the future of our products, and inspire a growing team to achieve excellence together!

What you'll be doing:

Own end-to-end delivery of core product capabilities, from strategy and design, through implementation, rollout, and ongoing support.
Lead a cross-functional team (10+ engineers, QA, developers, data science) responsible for the companys main IP.
Balance strategic initiatives (scaling platform, building new capabilities) with operational excellence (supporting more than 15K customers).
Partner with Product, Support, and other stakeholders to align technical direction with business priorities.
Drive structured planning processes, setting priorities, defining milestones, and ensuring delivery against commitments.
Champion Agile methodologies (Scrum/Kanban): run effective ceremonies, foster transparency, and ensure continuous improvement through clear KPIs and measurable outcomes.
Establish and maintain engineering best practices (architecture, code quality, testing, CI/CD, observability).
Mentor, develop, and inspire a high-performing engineering team while building a strong culture of accountability and collaboration.

Were looking for a hands-on Individual Contributor Data Engineer to design, build, and operate large-scale data product Youll own mission-critical pipelines and services, balancing pre-computation with on-demand execution to deliver complex, business-critical insights with the right cost, latency, and reliability.
RESPONSIBILITIES:
Design and run Spark data pipelines, orchestrated with Airflow, governed with Unity Catalog.
Build scalable batch and on-demand data products, aiming for the sweet spot between pre-compute and on-demand for complex logic - owning SLAs/SLOs, cost, and performance.
Implement robust data quality, lineage, and observability across pipelines.
Contribute to the architecture and scaling of our Export Center for off-platform report generation and delivery.
Partner with Product, Analytics, and Backend to turn requirements into resilient data systems.

We are seeking a hands-on and pragmatic security leader to oversee our information security program. You will ensure our systems, employees, and data remain secure while aligning risk management with business priorities. Youll lead compliance initiatives, drive security awareness, and embed security into company processes without slowing down innovation.

What you'll be doing:

Own and evolve the companys information security strategy aligned to business objectives.
Lead security operations: incident response, vulnerability management, IAM, and vendor risk assessments.
Ensure compliance with SOC 2, ISO 27001, and other customer/partner security requirements.
Partner with Product & Engineering to integrate security by design.
Manage relationships with security vendors, auditors, and consultants.
Conduct regular employee security training and awareness campaigns.
Report on risks, metrics, and posture to the executive team and board.
Build and mentor a small security function (team or outsourced model).

We're seeking a Senior Full Stack Engineer with a backend orientation to take the development of high-performance, scalable, and distributed systems powering our analytics platform. You will drive the implementation of backend and frontend systems and contribute to data-driven capabilities at scale. Youll collaborate with product managers and other engineers to bring innovative features to life and deliver high-impact solutions to our customers.
RESPONSIBILITIES
Design and develop backend architecture for scalable, high-performance systems
Build a next-generation analytics web app on React
Build robust APIs and data services to power a next-generation analytics platform
Work with distributed systems, databases, and cloud infrastructure to ensure reliability and speed
Maintain and optimize backend & frontend services, pipelines, and application logic
Participate in code reviews, design discussions, and architectural planning.

Were looking for a Backend Engineer to join our Foundation Group. This team builds and scales microservices in the cloud, working with Python, SQL, and NoSQL databases.
As a Backend Engineer, youll take ownership of designing, developing, and rolling out services within our POI enginea core component of our platform. Youll face large-scale and high-load challenges, selecting and applying the most suitable tools and technologies to deliver reliable, high-performance solutions.
RESPONSIBILITIES:
Design and develop scalable backend systems to support POI data processing and storage, ensuring high availability and reliability.
Manage and optimize cloud-based infrastructure for handling large data volumes and high traffic, implementing infrastructure as code (IaC) practices.
Develop and maintain efficient data pipelines for the ingestion, processing, and storage of POI data, ensuring data integrity and accuracy.
Implement and maintain CI/CD pipelines to automate testing, deployment, and monitoring, ensuring smooth and rapid release cycles.
Enhance system performance and security, monitoring for bottlenecks and vulnerabilities, and ensuring compliance with data protection regulations.
Collaborate with cross-functional teams including product managers, data scientists, and frontend developers to deliver integrated solutions and participate in code reviews and technical discussions.

Required Frontend Developer
As part of your role you will have the opportunity to:
Design and implement client-side features
Be fully involved from the kick-off phase with Product Management and UI/UX, all the way to production deployment
Work closely with other teams in the R&D in an agile environment
Direct customer impact, design, develop and deploy in short cycles.

Required Backend Software Engineer- Core
As part of the role you will have the opportunity to:
Design and develop new product features using modern backend technologies
Develop and maintain highly scalable and performant backend services
Solve challenging problems in a fast-paced and evolving environment, while maintaining uncompromising quality
Research on integration with IoT devices such as security cameras, access control, UPS, routers, and other wireless equipment
Integrate with device management platforms such as VMS in an efficient and cost-effective way
Guide and mentor other team members.

Required DevOps Engineer
As part of the role you will have the opportunity to:
Be a member of a strong team responsible for all DevOps aspects in the company: Cloud infrastructure, CI/CD, Monitoring, DataOps, SecOps and cost management
Architect, automate and manage cloud infrastructure (Azure & AWS)
Implement SecOps best practices in all infrastructure and processes
Integrate visibility and alerting capabilities into infrastructure and processes
Improve and automate CI/CD pipelines.

Required DevOps Team Lead
As part of the role you will have the opportunity to:
Lead, mentor and manage a team of experienced DevOps Engineers who are responsible for all DevOps aspects in the company: Cloud infrastructure, CI/CD, Observability, DataOps, SecOps and cost management
Collaborate with other R&D teams on mutual projects
Architect, build and automate cloud and hybrid-cloud infrastructure (Azure & AWS)
Manage and monitor multiple, diverse environments at a large scale
Maintain our CI/CD tooling and improve automation
Implement SecOps best practices in all infrastructure and processes
Design and maintain data infrastructure (SQL and NoSQL) fit for scale
Integrate visibility and alerting capabilities into infrastructure and processes.

Required Backend Data Engineer
As part of the role you will have the opportunity to:
Build end-to-end development of data infrastructure features, scalable data processing, database interaction and integration with CI/CD.
Take part in expanding our core data platform solutions, build new pipelines from scratch that ingest and process data at scale.
Work across a rich stack of technologies from Apache Kafka, Apache Storm, NoSQL, and relational databases.
Analyze and optimize performance, scalability, and stability of our product environments.
Work closely with the data-science team to implement production grade pipelines based on AI research.

Required Product Manager
As part of the role you will have the opportunity to:
Transform abstract ideas into clear, actionable design solutions
Work closely with product managers, engineers, and designers to craft structured, efficient workflows that support complex user needs
Help reimagine the user experience across dashboards and visually complex systems
Influence roadmap discussions with user-first design thinking
Contribute to and refine our existing design system
Elevate the design culture by sharing inspiration, ideas, and best practices
Balance user needs with business goals, and advocate for great UX across the company.

Required Data Team Lead
As part of your role you will have the opportunity to:
Lead, mentor, and manage a team of experienced Data/Backend Engineers responsible for designing, building, and maintaining data infrastructure and data-driven applications
Oversee the planning and execution of the development cycle (e.g., sprints), ensuring timely and high-quality delivery
Define, build, and align the Data team roadmap with the company's product vision and overall R&D strategy
Analyze and optimize performance, scalability, and stability of Data team services
Collaborate effectively with other R&D teams on cross-functional projects and shared infrastructure
Take ownership of production incidents related to the Data domain, ensuring clear communication and effective coordination
Manage team performance and growth through regular 1:1 meetings, constructive feedback, periodic performance reviews, and comprehensive annual evaluations.