Data Operations Manager jobs in Israel

• 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

• Develop and execute AI strategies aligned with business objectives
• Advise leadership on AI capabilities and potential applications
• Guide teams in adopting AI tools and methodologies
• Ensure ethical and efficient implementation of AI technologies
• Design and oversee AI-driven process improvements
• Collaborate with various departments to identify AI opportunities
• Stay current with the latest AI trends and advancements
• Conduct AI-related training and workshops for staff
• Manage AI projects from conception to implementation
• Evaluate and recommend AI tools and platforms
• Leading a team of AI engineers

• Deep understanding of AI technologies, including large language models
• Expertise in prompt engineering and AI-powered automation
• Proficiency with AI tools such as ChatGPT, Claude, Midjourney, and Copilot
• Knowledge of AI ethics and regulatory considerations
• Strong problem-solving and analytical skills
• Proficiency with Python or TypeScript for building AI workflows and data pipelines
• Excellent communication and leadership abilities
• Ability to translate complex AI concepts for non-technical audiences
• Experience in project management and cross-functional collaboration

• Advanced degree in Computer Science, AI, or related field
• Previous experience in AI implementation within an organizational setting
• Certifications in relevant AI technologies or platforms
• Familiarity with no-code AI application development
• Bachelor's degree in Computer Science, AI, or related field

• 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.

• 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.

• Build and own the monetization strategy and vision for our live games with millions of users.
• Plan, create, and implement day-to-day in-game events and promotions to drive growth in key business KPIs.
• Lead the execution of A/B tests on different game features and ad implementations to improve game performance.
• Analyze market trends and transform data findings into actionable recommendations that generate higher monetization performance.
• Collaborate with internal cross-functional teams, including Game Design, Game Economy, and Business Analyst, to ensure our vision is fully executed.

• Proven experience in a Product Manager role within the gaming industry.
• A deep understanding of the mobile gaming market, including knowledge of trends and player behavior.
• Strong analytical skills with a methodological approach to data-driven decision-making.
• Proven experience working with software development teams using an Agile methodology.
• A "can-do" attitude and a solution-oriented mindset.
• Excellent written and verbal communication skills

• 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.

Product Vision & Roadmap

• Translate company and product strategy into a clear, actionable roadmap.
• Prioritize initiatives based on customer needs, data insights, and technical feasibility.
• Ensure timely delivery of features that create measurable value for users and the business.

Cross-Functional Leadership

• Align engineering, design, marketing, and CS to deliver high-quality releases at scale.
• Partner with GTM to ensure successful adoption, from launch strategy to creator education.

Customer & Market Insight

• Conduct research and data analysis to identify unmet needs of web creators.
• Translate insights into innovative product experiences.

Metrics & Growth

• Own product KPIs (adoption, retention, ARR contribution) and iterate based on measurable outcomes.
• Champion experimentation and data-driven decision making.

• 5+ years in SaaS product management, leading a full product lifecycle from strategy to launch.
• Strong analytical and strategic thinking; fluent with data tools and experimentation frameworks.
• Excellent communicator who bridges technical and business contexts.
• Ability to thrive in a fast-moving environment with high ownership.
• Experience working with AI/LLM products: from ideation through integration with engineering/data science teams- Must

• Nice-to-Haves
• Familiarity with the WordPress ecosystem and web creator workflows.
• Experience with AI, automation, or headless commerce solutions.
• Background in building for the creator economy.
• Proven track record in web creation, digital commerce, or AI-powered products.