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Required Data Engineering Team Lead
As a Data Engineering Team Lead, you will:
Design and implement observability solutions for monitoring, overseeing and investigating the security and health of the companys products and infrastructure.
Architect, build and maintain data platform and pipeline tools for ingestion, streaming, transformation and storage.
Partner with security, platform and engineering teams to investigate incidents, support OPSEC research and produce forensic-ready data analysis.
Develop interactive dashboards, automated reporting and alerting workflows that translate complex production data into actionable insights.
Drive strategic improvements in how data shapes OPSEC policies, research, incident response and cross-team risk mitigation efforts.

Were looking for a data-driven and business-savvy Analyst to join our growing data team.
In this role, youll work closely with our Marketing, Finance, and Sales teams to analyze performance, connect marketing and financial data, and build models that support strategic decisions.
Youll play a key role in translating data into clear business insights that drive growth, efficiency, and profitability.
Key Responsibilities:
Partner with Marketing, Finance, and Sales teams to analyze performance, efficiency, and ROI.
Evaluate UA spend, ROAS, and growth metrics across channels, campaigns, and regions.
Build and maintain dashboards and reports in Cursor, Tableau and Looker to track key business and financial KPIs.
Develop and maintain risk models that help guide company decisions and improve forecasting accuracy.
Conduct cohort and funnel analysis to identify performance trends and growth opportunities.
Collaborate with Data engineering and finance teams to align top level metrics with company financial reporting.
Present actionable insights and recommendations that influence both strategy and operations.

Were looking for experienced, hands-on researchers who have repeatedly taken complex AI capabilities from initial problem definition to real-world use. Expect scarce data, noisy labels, and problems without an established playbook. Youll have the autonomy to shape the approach-and the responsibility to make it work.
Responsibilities
Our Research Tracks:
Were hiring across four tracks. We expect deep expertise in at least one, not mastery of all four.
Agents: Self-improving agents, learning from execution traces, and user feedback. Genetic and evolutionary optimization of workflows, tools, and code
NLP: Reinforcement learning for language models, distillation, retrieval and embeddings, named-entity and relation extraction, and multilingual learning.
Vision & Audio: Visual and speech understanding, detection and segmentation, multimodal representation learning, grounding, and cross-modal retrieval.
Machine Learning: Representation and graph learning, probabilistic and causal modeling, optimization, and learning with limited or noisy data.
What Youll Own:
Take research from an open-ended problem to a working capability: define success, develop the data and methods, run rigorous experiments to make it work. Work closely with engineering through deployment, measuring quality, efficiency, not just benchmark scores. Drive progress through technical blockers, adapt when an approach fails, and strengthen the team through collaboration, technical review, and mentoring.

We are looking for an experienced and highly motivated Senior FinOps Product & Projects Analyst to join our Financial Operations (FinOps) organization.
This role sits within the FinOps Product & Projects team, which acts as the bridge between Financial Operations, Product, Engineering, BI, and other cross functional teams.
Our mission is to ensure that FinOps is operationally ready to support new products, capabilities, and strategic initiatives. We translate business and operational needs into product requirements, design scalable operational processes, drive cross functional projects, and ensure successful implementation across the FinOps organization.
This is a highly cross functional role combining project management, product operations, process design, data analysis, and technical problem solving.
What You'll Do :
Lead strategic FinOps initiatives from planning through execution.
Drive cross functional projects involving Product, Engineering, BI, Finance, Operations, and external stakeholders.
Track project progress, identify risks, and drive timely resolution of blockers.
Coordinate testing, deployment readiness, and operational rollout of new capabilities.
Act as the primary liaison between FinOps and Product teams.
Translate operational challenges into clear product requirements and enhancement proposals.
Identify opportunities for automation, scalability, and operational efficiency.
Ensure new product capabilities are operationally supported before launch.
Influence product roadmaps based on operational needs and customer impact.
Design scalable operational processes for new products and business initiatives.
Build and document standard operating procedures (SOPs), workflows, and operational playbooks.
Ensure smooth handover of newly designed processes to operational FinOps teams.
Lead complex operational investigations involving multiple teams.
Coordinate high priority incident resolution.
Perform root cause analysis and drive long term corrective actions.
Work closely with BI teams to define reporting requirements and operational dashboards.
Support data driven decision making across FinOps.

We are looking for a Backend / Data Engineer to join our Core Data Pipeline team. In this role, you will be responsible for building and scaling the engine that processes our high-throughput, real-time telemetry data.
Our pipeline handles billions of events per second, performing real-time processing, data enrichment, and other transformations. If you thrive on solving high-scale, low-latency distributed systems challenges - this is the place for you.
What Youll Do:
High-Scale Engineering: Design, build, and maintain our central data processing pipeline, handling massive volumes of logs and traces at extreme scale.
Transform & Enrich: Architect real-time stream processing systems to perform complex data transformations and enrichments in real time.
Performance & Efficiency: Optimize system throughput, reduce memory footprints, and minimize latency across distributed clusters.
Architecture & Reliability: Take full ownership of feature lifecycles - from design and system architecture to production monitoring and resilience.
Our Stack:
Scala, Rust, Node.js
Kafka
Kafka Streams / Akka Streams
ClickHouse, Redis
Kubernetes
AWS.

Required Senior Data Engineer
Description
We are making the future of Mobility come to life starting today.
We support the worlds largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.
At the heart of our platform lies the data infrastructure, driving advanced machine learning models and optimization algorithms. As the owner of data pipelines, you'll tackle diverse challenges spanning optimization, prediction, modeling, inference, transportation, and mapping.
As a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platform-supporting real-time optimization, advanced analytics, and machine learning applications.
What You'll Do:
Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools.
Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets.
Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle.
Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows.
Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability.
Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions.
Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability.

We are looking for a Data Center Deployment Specialist to join its Infrastructure Specialists team. Academic and commercial groups around the world are using our products to redefine deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest data centers in the world! We are in search of a candidate with the capacity to collaborate within a complex customer-focused team that necessitates superb communication skills

What you will be doing:

Deploy and support our products.

Guide and supervise 3rd party contractors in field or remote settings.

Ensure accurate cable installations, including the number and type of connections, port assignments, and timing of activity while following standard methodologies.

Print labels for re-labeling cables based on a Point to Point (P2P) scheme.

Conduct quality testing of all cables used.

Resolve issues involving cabling components.

Validate and update all related work instructions for cabling activities.

Provide input on Data Center Standards updates as needed, while balancing multiple tasks and priorities and actively participating in project calls.

Ensure all relevant physical assets are recorded in Asset Manager and that all inventory-related fields are accurately recorded.

Inspect all received hardware shipments and receiving duties.

We are looking for an experienced Network professional to join our Network Data-Center Team.
עוד על התפקיד
Sizing, designing, implementing and maintaining network data-center in a large-scale enterprise
Planning and writing LLD/HLD documents integrating network data-center solutions
Operating and troubleshooting various network systems.

We are seeking an experienced and professional Data Engineer to join our technology team.
The role involves designing, developing, and implementing data engineering solutions, working with big data systems, integrating systems, managing cloud-based data infrastructure, and leveraging AI tools to enhance data processing and analytics.
the ideal candidate will have proven experience with advanced technologies, including AI-driven tools, and the ability to work in a dynamic and challenging environment.

we are looking for a hands-on Data Platform Engineer to operate and evolve our enterprise Kafka ecosystem, which serves as the companys central data streaming platform. The role is critical to our data infrastructure and supports a major ongoing migration to the cloud, while covering production operations, troubleshooting, automation, maintenance, and reliability across high-volume, low-latency, 24/7 on-premises and cloud environments.
Responsibilities:
Operate and monitor Kafka environments across Confluent Cloud, Confluent Platform, and Kubernetes/CFK deployments, including availability, consumer lag, replication, throughput, latency, storage, and capacity.
Troubleshoot production incidents, participate in on-call, perform root-cause analysis, and improve resilience, failover, and disaster-recovery readiness.
Manage topics, partitions, retention, ACLs, consumer groups, Kafka Connect connectors, and Schema Registry.
Deploy, configure, upgrade, patch, and scale platform components and connectors while maintaining secure access and configuration consistency.
Automate platform operations and provisioning using scripting, infrastructure-as-code, and CI/CD.
Work with DevOps, SRE, Infrastructure, Security, Architecture, Data, and application teams to onboard workloads and continuously improve platform reliability and governance.

we are looking for a Big Data Engineer.
As a Senior Big Data Engineer, working within Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.
RESPONSIBILITIES:
Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

we are looking for a Senior AI Software Engineer.
As a Senior AI Software Engineer, you'll help build that platform end to end - the agents, connectors, automation, and infrastructure that let the entire company unlock major productivity gains. You'll be designing and shipping AI that takes real work off people's plates, turning manual processes into automated ones, and building the systems that let teams do their best work faster.
Developing our use of Claude and Databricks - currently the backbone of that internal AI stack - is a key part of the mandate. Every one of our 500+ team members already uses Claude and BI in Databricks for analysis, automation, and research, and demand for deeper integrations is growing faster than our R&D team can deliver. You'll be tasked with driving these capabilities and impact to the next level - from surface-level usage to genuinely agentic, high-leverage workflows embedded across the business.
This is a hybrid role: part platform engineer, part internal-facing integration lead. You'll report to the COO and partner across AI Operations, R&D, Data Science, GTM, and other teams, owning the path from integration request to production-grade system. You'll also help build the triage and review process so the broader org can self-serve safely.
If you want to build the AI backbone of a fast-moving company - and see your work adopted by hundreds of people within days rather than quarters - this is that role.

we are looking for a Senior Data Analyst.
The Custom Feeds team turns Placer's data into production-grade bespoke data products for our largest customers - tailored to specific business questions and shipped on a recurring basis. We're looking for a Senior Data Analyst who is both a pipeline builder and a data researcher. You'll own custom recurring feeds end to end - from methodology for new metrics, through pipeline design, to final acceptance before delivery. You'll lead conversations with internal stakeholders (US-based customer-facing teams and colleagues across R&D) and help generalize recurring logic into reusable models, metrics and packages the whole team builds on. Ideal for a rigorous, independent thinker looking for a delivery-oriented role where impact is tangible.
Responsibilities:
Own custom feeds from requirements through delivery and ongoing maintenance
Develop methodologies and acceptance criteria for new metrics
Build reproducible, tested production pipelines in PySpark on Databricks, orchestrated with Airflow and Terraform
Partner with Solution Engineers and customer-facing teams on timelines, methodology and customer feedback
Build reusable components and packages; collaborate with R&D and Data Science to reuse existing datasets, models and products - and make your work reusable by others