Head Product – Playtika’s Tech Platform Boost jobs in Israel

Your expertise will transform our infrastructure and deployment. You'll design scalable cloud architectures to accelerate innovation, champion a world-class DevOps culture to empower developers, and build the foundation for our future growth.

• Strategic Impact: A direct line of sight between your work and key business outcomes, with influence on strategic technical decisions across the entire business unit.

• Technical Leadership: Shape the future of our infrastructure and own the architectural roadmap for our cloud and deployment ecosystem.

• Innovation Playground: Experiment with emerging technologies and implement solutions at scale in a collaborative, forward-thinking environment.

• Technology Breadth: Work across the full DevOps spectrum – from Infrastructure as Code and Kubernetes to DataOps and developer productivity tools.
• Growth Trajectory: A clear path for career advancement as you demonstrate success and grow your leadership scope.

• Lead Technical Strategy: Define the technical vision and roadmap for our DevOps and Production Engineering capabilities, aligning multiple teams around common patterns, tools, and practices.
• Design Cloud-Native Solutions: Architect and implement secure, scalable cloud infrastructure using Kubernetes, IaC, and other modern frameworks to power our growing technology ecosystem.
• Accelerate Developer Experience: Spearhead improvements to our CI/CD pipelines, developer portals, and internal platforms to empower engineering teams to ship higher-quality software, faster.
• Optimize Data Infrastructure: Engineer and support robust platforms for our data-intensive workloads, ensuring the performance, reliability, and cost-effectiveness of systems leveraging technologies like Kafka.
• Drive DevOps Transformation: Mentor team members, lead the Production Engineering & DevOps Infra function, and collaborate with fellow R&D leaders to champion modern practices across the organization.

• Cloud Platform Expertise: Deep hands-on experience with AWS/Azure/GCP services, Kubernetes cluster management, and implementing secure, scalable cloud infrastructure architectures.
• Infrastructure as Code Mastery: Proven ability to design and implement infrastructure automation using tools like Terraform, CloudFormation, or Pulumi at enterprise scale.
• CI/CD & GitOps Expertise: Demonstrated success building and optimizing continuous integration and delivery pipelines using modern tools (e.g., GitHub Actions, Jenkins, ArgoCD).
• Data Infrastructure Knowledge: Experience designing and implementing infrastructure for data-intensive workloads, including data processing pipelines (Kafka), storage solutions, and observability systems.
• Database Expertise: Deep knowledge of relational databases (e.g., MySQL, SingleStore, PostgreSQL), including performance tuning and scalability best practices.

• Experience with big data processing applications using Spark.
• Knowledge of Machine Learning platforms such as Ray or Seldon Core.
• Proficiency in a scripting language like Python or Go for automation.
• Familiarity with DevSecOps practices and automated security tooling.
• Experience with cloud cost management and FinOps principles.

• 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.

In this role, you’ll help define long-term strategy, elevate team execution and contribute to the ongoing evolution of our products.

• Partner closely with a seasoned product organization, including Product Managers, Content Managers and Product Designers, while mentoring team members, elevating product thinking and helping shape a high-performing product culture.
• Collaborate with stakeholders across the company to surface needs, identify opportunities and drive impactful product initiatives.
• Contribute to roadmap definition, strategic planning and execution of key initiatives.
• Step into hands-on product work when needed to move key efforts forward.

• 8–12 years of product management experience in B2C or B2B2C environments, with a strong track record of launching and iterating on user-facing products in close partnership with R&D.
• Proven track record of leading or mentoring other product managers.
• Deep familiarity with mobile and web trends, apps and content.
• Strategic mindset paired with strong execution skills - able to see the big picture while driving toward measurable outcomes.
• Demonstrated analytical skills with experience working on big-data products serving millions of users.
• Strong technical understanding.
• Excellent communication and organizational skills, with the ability to manage priorities and influence cross-functional teams.

• Experience in news or content-driven products.
• Background with monetization strategies, services and tools.

• 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.

We’re looking for a

What You’ll Do

• Lead end-to-end design — from concept to launch — across Artlist’s digital ecosystem.
• Create AI-powered experiences that inspire and empower creators.
• Collaborate cross-functionally to deliver cohesive, high-impact experiences.
• Develop and maintain the design system for consistency, accessibility, and brand alignment.
• Mentor designers and foster a culture of innovation and excellence.
• Use research and data to inform decisions and improve experiences.

• 6–10+ years of experience designing digital products, creative tools, or SaaS platforms.
• Expertise in UX, visual design, and systems thinking with attention to detail.
• Strong communication and collaboration skills across teams.
• Masters fast-moving, experimental, and innovative environments.
• Passion for creativity, storytelling, and AI in design.
• Fluent English at a very high level

• Lead, mentor, and manage a multidisciplinary team of game designers, UI artists, and level designers.
• Own the creative vision and gameplay experience across all game projects.
• Translate high-level business goals into innovative, data-driven game design strategies.
• Guide the development of game mechanics, systems, level progression, economy, and player engagement loops.
• Ensure design consistency, high quality, and player-centric thinking throughout development.
• Collaborate cross-functionally with engineering, art, product, and monetization teams.
• Stay ahead of market trends, genres, and competitor analysis to drive innovation.

• 5+ years of experience managing game design teams.
• Strong background in game design, gameplay mechanics, and level design.
• Proven track record of designing and delivering commercially successful games.
• Deep understanding of player psychology, engagement metrics, and game economy.
• Excellent leadership, mentoring, and communication skills.
• Business-oriented mindset with the ability to balance creativity with strategic goals.
• Experience working in multi-disciplinary teams with artists, developers, and product owners.
• Passion for games and a deep knowledge of multiple game genres and platforms.

• 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.

What You’ll Do

• Lead end-to-end product design across Artlist’s web and product ecosystem - from insights and flows to refined, high-fidelity UI.
• Craft visually compelling, polished interfaces with strong typography, layout, hierarchy, motion cues, and interaction design.
• Design intuitive AI-powered experiences, making advanced creative capabilities simple, approachable, and inspiring.
• Shape the visual language of Artlist’s product surfaces, ensuring every screen feels cinematic, premium, and creator-friendly.
• Contribute to and extend Artlist’s design system, focusing on scalable, reusable, and visually consistent components.
• Partner with product, engineering, brand, and marketing to deliver cohesive experiences across product + web.
• Use data, research, and rapid prototyping to refine decisions, validate designs, and improve usability.
• Work fast and iteratively, exploring multiple visual directions and pushing for high-quality execution.

• 5–8 years of experience designing digital products, creative tools, or SaaS web platforms.
• Exceptional UI and visual design strength - mastery of typography, grids, color, composition, component design, and responsive behavior.
• Deep experience with UX fundamentals, user flows, and interaction patterns for web and product.
• Experience designing with and contributing to design systems (component libraries, tokens, patterns).
• Ability to turn abstract or AI-driven ideas into clear, expressive, human-centered interfaces.
• Strong communicator who collaborates easily with cross-functional partners.
• Comfortable in fast-paced, exploratory, innovation-driven environments.
• Passion for creativity, visual storytelling, and shaping the future of design with AI.

Unify online/offline for features: Drive Flink adoption and patterns that keep features consistent and low-latency for experimentation and production.

Make self-serve real: Build golden paths, templates, and guardrails so product/analytics/DS engineers can move fast safely.

Run multi-tenant compute efficiently: EMR on EKS powered by Karpenter on Spot instances; right-size Trino/Spark/Druid for performance and cost.

Cross-cloud interoperability: BigQuery + BigLake/Iceberg interop where it makes sense (analytics, experimentation, partnership).

• Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar.
• Owning SLOs, on-call, incident response, and postmortems for core data services.
• Designing and operating EMR on EKS capacity profiles, autoscaling policies, and multi-tenant isolation.
• Tuning Trino (memory/spill, CBO, catalogs), Spark/Structured Streaming jobs, and Druid ingestion/compaction for sub-second analytics.
• Extending Flink patterns for the feature platform (state backends, checkpointing, watermarks, backfills).
• Driving FinOps work: CUR-based attribution, S3 Inventory-driven retention/compaction, Reservations/Savings Plans strategy, OpenCost visibility.
• Partnering with product engineering, analytics, and data science & ML engineers on roadmap, schema evolution, and data product SLAs.
• Leveling up observability (Prometheus/VictoriaMetrics/Grafana), data quality checks, and platform self-service tooling.

• 2+ years leading engineers (team lead or manager) building/operating large-scale data platforms; 5+ years total in Data Infrastructure/DataOps roles.
• Proven ownership of cloud-native data platforms on AWS: S3, EMR (preferably EMR on EKS), IAM, Glue/Data Catalog, Athena.
• Production experience with Apache Iceberg (schema evolution, compaction, retention, metadata ops) and columnar formats (Parquet/Avro).
• Hands-on depth in at least two of: Trino/Presto, Apache Spark/Structured Streaming, Apache Druid, Apache Flink.
• Strong conceptual understanding of Kubernetes (EKS), including autoscaling, isolation, quotas, and observability
• Strong SQL skills and extensive experience with performance tuning, with solid proficiency in Python/Java.
• Solid understanding of Kafka concepts, hands-on experience is a plus
• Experience running on-call for data platforms and driving measurable SLO-based improvements.

• Experience building feature platforms (feature definitions, materialization, serving, and online/offline consistency).
• Airflow (or similar) at scale; Argo experience is a plus.
• Familiarity with BigQuery (and ideally BigLake/Iceberg interop) and operational DBs like Aurora MySQL.
• Experience with Clickhouse / Snowflake / Databricks / Starrocks.
• FinOps background (cost attribution/showback, Spot strategies).
• Data quality, lineage, and cataloging practices in large orgs.
• IaC (Terraform/CloudFormation)

• 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.