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we are looking for a Product Security Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Responsibilities
Implement and maintain security controls for applications and systems.
Conduct DAST, SAST, vulnerability scans, and penetration tests.
Develop and enforce security policies and best practices.
Monitor logs, investigate incidents, and respond to threats.
Collaborate with development teams to ensure secure coding practices.
Stay updated on emerging threats and industry standards.

Were looking for an HR Growth Partner to join our dynamic HR team. In this role, youll play a crucial part in shaping our people strategy, driving innovation, and creating an exceptional workplace where talent thrives. If youre passionate about HR, love working in a fast-paced environment, partnering closely with leaders at all levels, we want to hear from you!
What you'll do:
Design and implement strategic HR initiatives that align with business goals, ensuring we continue to be an employer of choice.
Act as a strategic partner to leaders at all levels, from team leads to VPs, providing expert HR guidance and support.
Understand business objectives and translate them into impactful HR solutions that drive performance and engagement.
Serve as a trusted advisor to stakeholders, offering insights, coaching, and guidance on all aspects of HR, including employee relations, performance management, organizational design, and talent development.
Identify key people trends, using various data sources, within the organization and proactively develop strategies to enhance the employee experience.
Lead organizational and talent assessments, ensuring a strong talent pipeline and workforce capability to meet business demands.
Contribute to cross HR projects, bringing fresh ideas and innovative solutions to the table.
Stay informed on labor laws and industry best practices, ensuring compliance and driving continuous improvement.

We believe every challenge is an invitation to innovate. Were looking for an Enterprise Customer Success Manager (Russian Speaker) to help us shape the future of measurement. In this role, youll work with talented professionals across the globe, within a culture that values curiosity, collaboration, and personal development. If you're ready to bring your skills to a global stage, this is your chance to make an impact.
About the role:
As a key member of our Customer Success team, you'll partner with some of our largest enterprise clients to drive product adoption, deliver strategic guidance, and ensure measurable business impact ,all while serving as their trusted advisor and voice within .
What Youll Do:
Manage enterprise accounts across technical, business, and product aspects, ensuring alignment with client goals
Own the customer journey post-sale, including training, feature adoption, and strategic business reviews
Act as the bridge between clients and internal teams by sharing feedback with Product and R&D
Provide proactive updates on product releases, changes, and relevant content
Identify and lead upsell opportunities in collaboration with Sales
Facilitate webinars, workshops, and education sessions tailored to client needs
Partner with Marketing, Sales, and Partners teams to support growth in the region.
Please apply your CV in English.

we are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

We're looking for a hands-on, business-minded Analytics Engineer to build the infrastructure and tooling that turns this data into operational gold.
Youll be the first data hire in our new Operations Insights team, responsible for designing the operations data platform, generating insights for internal and external stakeholders, and helping our business teams deliver measurable impact. This is a hybrid role that combines data engineering with analytics and product thinkingyoull build, analyze, and consult.
From designing the data warehouse to crafting performance dashboards and investigating edge-case customer issues, youll be the go-to person who makes data accessible, trustworthy, and powerful.
A day in the life:
Design and implement the operational data platform, consolidating data from R&D systems
Build and maintain data pipelines and tables for store performance, deployment health, and system diagnostics
Collaborate with the Director of Customer Value & Insights and Expansion Managers to define KPIs and surface business insights
Conduct exploratory data analysis to support tough customer and deployment challenges
Build internal tools and dashboards that empower teams to self-serve critical data
Investigate anomalies, edge cases, and complex failure scenarios to improve deployments
Maintain data quality, documentation, and observability as we scale to hundreds of stores

we are looking for a Quality Automation Team Lead to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

Our Finance team is looking for a new team member to jump on board.
We are looking for a hardworking, results-driven individual who is a team player at heart and wants to join in the companys success! The position is a full-time role within the Finance department's Accounts Receivable team.
The role of a Collections Specialist involves the task of conducting collection operations, which include overseeing overdue accounts, communicating with clients regarding payments, and addressing both simple and complex account-related inquiries. This role involves following a set of procedures and tasks, but it also requires good communication skills and the ability to work efficiently and independently.
What youll do:
Collections Responsibilities
Manage overdue accounts: communicate with customers, resolve payment issues, and update AR records.
Reconcile accounts and payment records across providers.
Ensure timely and accurate cash application.
Generate customer statements and recommend escalations/write-offs.
Handle account adjustments and billing/payment queries.
Apply correct tax regulations and forecast collections weekly/monthly.
Analyze billing data to prevent errors and delays.

we are looking for a Quality CI Enigneer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

Our Security team is looking for a hands-on Cloud Security Specialist with a strong focus on Identity & Access Management (IAM) to help drive our security posture across cloud environments. In this role, youll be the go-to expert for IAM governance and cloud identity controls across AWS and GCP- enabling secure access at scale, while working closely with security, DevOps, and engineering teams to solve complex security problems.
The ideal candidate is highly motivated, demonstrates a can do' attitude and needs to have a combination of technical and communication skills, as well as the ability to handle a mix of multiple tasks including projects and technical work.
What you'll do:
Lead the design and enforcement of IAM controls across AWS and GCP.
Build and maintain secure role, permissions, and account structures aligned with least privilege and zero trust principles.
Manage and govern human and non-human (machine) access to sensitive SaaS applications (e.g., Okta, Git, etc.).
Monitor and improve cloud identity hygiene: users, roles, service accounts, federated access, and third-party integrations.
Automate detection and remediation of IAM misconfigurations and over-privileged identities.
Collaborate with DevOps and engineering to embed IAM best practices into infrastructure pipelines and app deployments.
Support incident response and investigations related to IAM abuse, access misuse, or privilege escalations.
Contribute to detection rules, playbooks, and cloud-specific DFIR processes.
Provide guidance during access reviews, role audits, and trust relationship validation.

were looking for a unique kind of engineer.
This is not a classic SRE role. Its for someone who lives at the intersection of software, systems, and physical operationswho can guide complex deployments remotely, troubleshoot bizarre edge cases in live environments, and build the automation and structure that make all of it repeatable at scale.
As part of the Ops Technology team, youll take charge of deploying our system in live stores, working closely with customer technology teams and 3rd-party integrators. Youll monitor installations, debug weirdness from afar, guide teams through configuration and calibration, and evolve the tooling that makes it all work across hundreds of diverse store environments.
In this role, youll not only operationalize deployments at scaleyoull gain a deep understanding of core algorithms and engineering stack to ensure every store performs at its best. Your work will help bridge the gap between code and real-world execution, turning complexity into repeatable success.
A day in the life:
Oversee and drive deployments of system in stores around the worldremotely, reliably, and at scale
Guide and support customer tech teams and 3rd-party integrators during store setups (camera calibration, product database uploads, system configurations, etc.)
Debug and resolve real-world failures that arise when software meets physical retail complexity
Design and refine deployment tools and pipelines that support rapid, scalable, and low-touch installs
Collaborate cross-functionally with R&D, product, and field teams to harden the system against operational variance
Act as Tier 2/3 technical escalation, stepping in when deployment blockers need hands-on attention
Build documentation, processes, and field guides to enable integrators and client teams to succeed

we are looking for an R&D release integrator to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

Were looking for a Financial Data Analyst to help shape decision-making across our pricing, budget planning, forecasting, and market strategy. In this role, you'll collaborate with cross-functional teams- from finance to senior leadership- to turn data into actionable insights.
If you're technically strong, curious, and thrive in a fast-paced environment, this might be your next challenge.
What you'll do:
Conduct a thorough analysis of financial results, KPIs, pricing, promotions, and competitor activities to guide strategic decisions.
Define, monitor, and communicate performance metrics through dashboards, reports, and clear insights to stakeholders.
Provide actionable recommendations beyond the numbers to support and execute business and strategic initiatives.
Lead projects and process improvements to strengthen operational efficiency, controls, and forecasting across units.
Conduct market and competitor benchmarking, and develop economic models and databases to support management decision-making.

We are seeking a passionate and skilled BI Developer to join our Data & Analytics team and play a key role in shaping the semantic layer within. Youll work closely with data analysts, data engineers, and other stakeholders to translate complex business logic into scalable data models, enabling self-service analytics and actionable insights across the organization.
This is a highly collaborative role focused on defining and implementing the semantic foundation that powers traffic benchmarks, user behavior analysis, and operational dashboards for Customer Success and beyond.
What Youll Do:
Own the end-to-end development of the semantic layer for traffic data, ensuring scalability, consistency, and accuracy.
Build and maintain data models in DBT or equivalent transformation layers to support analytics and self-service use cases.
Develop and orchestrate reliable data workflows using Apache Airflow and Python.
Implement efficient data transformations using Spark for scalable data processing.
Collaborate with Customer Success (CS) data analysts and business partners to translate business questions into efficient, governed data structures.
Optimize SQL and data flows for performance and usability across tools like Looker, Tableau, or other BI platforms.
Define and document standardized business logic, KPIs, and metric definitions within the semantic layer.
Partner with Data Engineering to ensure semantic data models are aligned with upstream pipelines and architecture.
Develop data validation, QA, and monitoring processes to maintain high data quality standards.
Contribute to data modeling best practices and participate in broader data governance initiatives across the company.