דרושים Senior Finance Manager

As a , you will own the end-to-end billing cycle and revenue operations, ensuring accuracy and efficiency across large-scale data. You’ll collaborate closely with CX, Legal, Finance, R&D, and Product teams to streamline processes and support decision-making. The role is highly systems-oriented, working mainly with to optimize billing, automation, and reporting.

• Manage the end-to-end billing cycle, including invoice generation in NS, distribution, and reconciliation within NetSuite and Zuora .
• Investigate and resolve billing discrepancies and customer inquiries in a timely and professional manner.
• Collaborate with CX, legal and bookkeeping teams to ensure billing accuracy and compliance.
• Conduct month-end and year-end close activities related to billing and revenue recognition.
• Serve as a key user and administrator for our billing and financial systems, primarily NetSuite and Zuora .
• Maintain data integrity and accuracy across all relevant systems, with a focus on managing and validating large datasets .
• Identify and implement system enhancements and automations to improve efficiency and reduce manual effort for high-volume transactions.
• Develop and maintain documentation for billing processes and system procedures.
• Collaborate with R&D, IT and other departments on system upgrades, integrations, and new system implementations.
• Demonstrate strong systems awareness , understanding the interconnectedness of various platforms and data flows.
• Conduct comprehensive data analysis of billing trends, revenue metrics, and customer accounts, specifically with the ability to handle and interpret big volume of data.
• Generate regular and ad-hoc reports to support financial forecasting, operational insights, and strategic decision-making.
• Identify opportunities for process improvement and cost reduction through data-driven insights.
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Actively research and explore emerging AI tools and technologies that could enhance billing efficiency, fraud detection, revenue assurance, or data analysis capabilities, particularly for large-scale data operations .
• Propose and, where appropriate, pilot new AI-driven solutions to optimize existing processes.

• 3-5 years of experience in a finance operations, or information systems role, preferably within a fast-paced environment.
• Demonstrated experience working with and managing large volumes of customer or transactional data
• Proven hands-on experience with NetSuite is essential.
• Strong practical experience with Zuora (or similar subscription billing platforms) - An Advantage.
• Excellent ability to perform robust data analysis using AI/BI tools
• Strong systems awareness and understanding of how different business systems integrate and impact financial operations.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Ability to work independently and collaboratively in a team environment.
• Excellent communication (written and verbal) and interpersonal skills.
• Proactive, curious, and eager to learn new technologies and processes.
• Experience with or a strong interest in exploring AI tools and their application in business processes.
• Experience with SQL or other querying languages- Optional
• Bachelor's degree in Finance, Accounting, Business Administration, Information Systems, or a related field.

We’re looking for a Senior BI Developer who’s excited about turning data into real impact.

In this role, you’ll be the force behind data-driven decision-making across the company, building scalable pipelines, smart data models, and BI solutions that power millions of users. You’ll partner with Product, R&D, and Marketing to uncover insights, shape strategies, and keep us moving fast, and always two steps ahead.

If you love solving complex data challenges, thrive in an , open-minded environment, and want to see your work make a visible difference, you’ll feel right at home here.

Be a Strategic Data Partner

• Partner with Product, Marketing, and R&D leaders to understand challenges and propose solutions
• Present insights confidently to all levels-analysts to executives
• Translate business problems into technical solutions, understanding the "why" behind requests
• Proactively identify data opportunities before being asked

Build BI Solutions

• Design data marts (dbt + Databricks) and Tableau dashboards that teams rely on daily
• Own full lifecycle: requirements → delivery → presentation
• Ensure solutions are fast, reliable, and trusted

Elevate Team Standards

• Set quality bar through excellent code, documentation, and communication
• Mentor developers on SQL, data modeling, and dashboard design
• Drive data governance and QA processes

Solve Technical Challenges

• Turn high-volume, messy data into a reliable analytics infrastructure
• Optimize performance and scalability
• Lead technical initiatives (migrations, architecture improvements)

Technical Foundation (Must-Haves)

• 4+ years as a BI Developer in SaaS/eCommerce
• SQL mastery and strong data modeling skills
• Hands-on with: dbt, Databricks, Tableau, Git
• Data warehouse architecture and quality frameworks

Stakeholder Partnership:

• Excellent communicator who explains technical concepts clearly
• Service mindset-view stakeholders as partners
• Confident in presenting to leadership

Business Orientation:

• Understand the "why" behind data requests
• Connect data work to business outcomesממ
• Learn the domain and speak stakeholder language

Work Style:

• Proactive problem-solver who creates clarity from ambiguity
• Independent, quality-focused, innovative thinker
• Growth mindset and collaborative team player

Lead and manage the company’s entire bookkeeping and accounting operations, including:

• Bank reconciliations and cash management
• Accounts Payable (AP): vendor management, invoice processing, and payments
• Accounts Receivable (AR): revenue recording and reconciliation from Zuora
• Credit card and cash reconciliations

Lead and mentor team of 2-3 bookkeepers:

• Collaborate with senior finance team members to ensure high-quality execution and continuous improvement.
• Ensure accuracy and completeness of all accounting records and reconciliations.
• Own the cash reconciliation process, ensuring collections are accurately matched to invoices in a B2C environment.
• VAT reporting and compliance
• Handle payments to statutory institutions, such as social security, tax authorities, and pension funds
• Drive process improvements and support automation in NetSuite and Zuora.
• Lead ongoing improvements in accounting systems and workflows, ensuring scalability as the company grows.
• Lead the implementation and optimization of automation tools in NetSuite and other systems to enhance bookkeeping processes.
• Work closely with the Controllers on monthly, quarterly, and year-end closing activities.

• 10–15 years of accounting and bookkeeping experience , preferably in the high-tech / B2C industry.
• Proven leadership and team management experience – including direct management of multiple bookkeepers and coordination with global/offshore teams.
• Strong command of NetSuite (a must)
• Deep understanding of AP, AR, cash flow management and reconciliations.
• High attention to detail, organizational skills, and accountability.
• Positive, can-do attitude with a proactive and solution-oriented mindset.
• Excellent communication and interpersonal skills in a dynamic, fast-paced environment.
• Fluent in English (written and spoken).

• Continuously improve our infrastructure to be more secure, scalable, and robust
• Apply new technologies for internal and external services
• Design, build, and maintain CI/CD pipelines and IaC for our infrastructure
• Architecture planning for cloud-based solutions
• Performance optimization to our workloads and GKE clusters
• Control and develop the monitoring and observability solutions

• At least 5 years of experience as a DevOps.
• At least 3 years of hands-on experience with Kubernetes.
• Knowledge and experience with cloud vendors such as GCP/AWS - Must
• Hands-on experience in production environments - Must
• DB management - MySQL, MongoDB, Redis - Must
• Experience with CI/CD tools such as Github Actions, Jenkins, or GitLab - Must
• Experience with Terraform or other provisioning tools - Advantage
• Development of Kubernetes Operators - Advantage
• High Documentation skills - Advantage
• Experience with operation of 24/7 Highly available production systems - Advantage

• Work closely with the product management, design, and customer experience teams to gather product feedback and ensure a seamless customer experience throughout the product life cycle
• Develop a deep understanding of the product, its unique value proposition, and target customer segments. Craft compelling positioning and messaging that effectively communicates the product's benefits and differentiation in the market
• Develop and communicate Elementor’s value proposition through marketing materials, web pages, emails, product screens, and more, to drive feature adoption, success and retention
• Collaborate with cross-functional teams to develop and execute comprehensive go-to-market strategies that maximize awareness and user acquisition of the product.
• Leverage customer research, feedback, and market intelligence to develop accurate customer segments and identify key customer pain points, needs, and preferences. Align marketing initiatives to address these insights and create compelling customer experiences
• Create impactful marketing materials, including product videos, website content, emails, and blog posts, that effectively communicate the value and benefits of Elementor’s product to increase awareness and adoption
• Plan and execute the successful launch of the new product, including coordinating marketing activities, monitoring campaign performance, and adjusting strategies as needed. Measure and report on campaign effectiveness and make data-driven recommendations for optimization
• Improve user journeys to increase customer acquisition, conversion, and engagement rates

• 3+ years of proven experience as a Product Marketing Manager
• Excellent communication and storytelling skills, with the ability to craft compelling narratives for different audiences and channels
• Strong analytical skills, with the ability to interpret data, draw actionable insights, and make data-driven decisions
• Have experience creating high-end marketing collateral across multiple channels
• Ability to work collaboratively and cross-functionally in a fast-paced, dynamic environment
• Possess a high degree of design aesthetics, and can guide other stakeholders towards the best results
• Have strong proven analytical skills, are data-driven, and are familiar with A/B testing
• Self-starter who can work independently and manage multiple projects simultaneously
• Experience with targeting SMB/mid-market is a plus.
• Excellent verbal and written communication skills in English.
• Experience with WordPress and Elementor - an advantage

• Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
• DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
• Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
• Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
• Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions

• Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
• Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
• Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
• Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
• Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

• 3+ years of hands-on DevOps experience building, shipping, and operating production systems.
• Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools.
• Cloud platforms: deep experience with AWS, GCP, or Azure (core services, networking, IAM).
• Kubernetes: strong end-to-end understanding of Kubernetes as a system (routing/networking, scaling, security, observability, upgrades), with proven experience integrating data-centric components (e.g., Kafka, RDS, BigQuery, Aerospike).
• Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modular code, reusable patterns, pipeline integration).
• GitOps & CI/CD: practical experience implementing pipelines and advanced delivery using tools such as Argo CD / Argo Rollouts, GitHub Actions, or similar.
• Observability: metrics, logs, and traces; actionable alerting and SLOs using tools such as Prometheus, Grafana, ELK/EFK, OpenTelemetry, or similar.

• Data Pipeline Orchestration - Demonstrated success building and optimizing data pipeline deployment using modern tools (Airflow, Prefect, Kubernetes operators) and implementing GitOps practices for data workloads
• Data Engineer Experience Focus - Track record of creating and improving self-service platforms, deployment tools, and monitoring solutions that measurably enhance data engineering team productivity
• Data Infrastructure Deep Knowledge - Extensive experience designing infrastructure for data-intensive workloads including streaming platforms (Kafka, Kinesis), data processing frameworks (Spark, Flink), storage solutions, and comprehensive observability systems

• Relocation support is not available for this position.
• Work visa/immigration sponsorship is not available for this position

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.