דרושים Senior Data Product Manager ב-יוניטי ב-Israel, Tel-aviv

• 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.

• Conduct data analysis to identify trends and insights, executing strategies to optimize user acquisition activity.
• Collaborate with account management teams to support and optimize key gaming accounts, ensuring client satisfaction and success.
• Communicate with advertisers on providing suggestions to optimize campaigns and improve user acquisition strategy.
• Work closely with internal teams to implement improvements, develop new features, and adjust strategies to ensure client success.
• Develop and present client-facing materials, including partnership decks, case studies, and presentations to drive business development efforts.

• Analytical Skills: Exceptional analytical and problem-solving skills with proficiency in data analysis tools such as Excel, Imply, or Looker.
• Strategic Thinking: Ability to approach problems strategically and execute strategies cross-functionally.
• Strong team player with excellent collaboration and interpersonal skills.
• Communication Skills: Excellent written and verbal communication skills in English, with the ability to present complex data insights clearly and effectively.
• Industry Knowledge: Previous experience working on mobile gaming or in the ad tech/gaming industry.
• Ability to multitask and prioritize in a fast-paced environment.
• Excellent verbal and written communication skills in English.

• Familiarity with mobile app tracking and attribution analytics platforms.
• Advantage - Russian speaker.

• 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 will leverage your expertise in distributed systems, data engineering, and software development to design, build, and deploy high-performance solutions. You will take a leading role in developing and maintaining a cutting-edge online machine learning system powered by PyTorch/Tensorflow models and Triton inference server.

• Architect and Build: Design, develop, and deploy robust, scalable, and high-performance distributed systems that form the backbone of ironSource's next-generation ML ad network.
• Real-Time Ad Serving: Engineer and optimize critical systems for real-time ad serving, enabling machine learning models to make intelligent, low-latency decisions for optimal ad selection.
• ML Infrastructure Innovation: Drive the evolution of our ML capabilities by researching, evaluating, and implementing cutting-edge techniques for feature stores, data aggregation, and model serving infrastructure.
• Data Pipeline Engineering: Collaborate closely with data scientists and product managers to design, build, and maintain efficient and reliable data lakes and data pipelines, ensuring high-quality data for ML training and analytics.
• Operational Excellence: Take ownership of key system components, ensuring their reliability, performance, and scalability in a production environment through proactive monitoring and continuous improvement.

• 5+ years of backend development experience with strong skills and a genuine passion for server-side technologies.
• Proven experience building and maintaining large-scale, low-latency, distributed systems.
• Solid understanding of service lifecycle management and efficient resource utilization.
• Hands-on experience with machine learning integration in production systems.
• Proficiency in backend programming languages such as Java and Scala
• Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).
• Strong problem-solving skills, ownership mindset, and ability to thrive in high-impact environments.

• Experience with ML frameworks such as TensorFlow, PyTorch.
• Experience with inference servers such as Triton, TensorFlow Serving.

• 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.

Why You'll Love This Role:

• Take ownership of major projects and core features with significant business impact.
• Work alongside skilled engineers in a fast-paced, high-scale environment.
• Tackle challenging technical problems using cutting-edge tools like Kafka and Aerospike.

• Design, develop, and monitor new features for the platform, including components supporting targeting, attribution, and budget management.
• Maintain and optimize the performance of critical backend systems.
• Refactor and improve legacy code to ensure scalability and efficiency.
• Lead efforts to guarantee system reliability and low latency in a high-concurrency environment.
• Collaborate with peers and across teams to deliver high-quality, production-ready solutions.

• Proficiency in backend development with Scala (highly preferred) or Java.
• Strong understanding of distributed systems and real-time, high-concurrency applications.
• Experience with Kafka and other streaming/messaging systems.
• Extensive experience debugging and optimizing high-scale production environments.
• Proven ability to design and build backend systems focused on performance and scalability.

• Hands-on experience with Aerospike or other NoSQL databases.
• Familiarity with Kubernetes or container orchestration tools.
• Knowledge of functional programming paradigms.
• If you're looking for a role where you can contribute meaningfully, tackle exciting challenges, and work with a friendly, professional team that values collaboration and expertise, we’d love to hear from you!

• 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.

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.