דרושים Director Product Management Firebase Build Platform

• 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

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.

As aat Artlist, you'll play a key role in driving our product’s growth by analyzing and optimizing our most critical conversion funnels. You'll provide actionable insights focused on our pricing page and core user journeys to directly impact business success. In this critical role, you'll work closely with product teams to test hypotheses, validate strategies, and ensure our product keeps growing in a competitive market.

Wake Up For This

• Design, implement, and analyze A/B tests to optimize core funnels, pricing, and CTAs.
• Conduct deep-dive analysis of the user journey to identify opportunities for conversion rate optimization.
• Develop and manage key metrics to measure business performance and product health.
• Partner with product squads and strategic stakeholders to define and prioritize growth initiatives.
• Translate complex data findings into actionable insights and strategic recommendations.
• Build and maintain dynamic dashboards to support data-driven decision-making across the organization.
• Serve as an analytical expert on user behavior, monetization, and conversion strategy.

• 4+ years of experience as a product analyst, with a strong focus on growth and experimentation.
• Proven, hands-on experience designing and analyzing A/B tests in a data-driven environment.
• A proactive mindset with a strong sense of ownership and initiative to drive business impact.
• Strong analytical skills with the ability to translate data insights into strategic business decisions.
• Advanced SQL skills and a deep understanding of data analysis techniques.
• Experience defining and validating event-tracking specifications (event specs) for product analytics.
• Solid foundation in statistics and its practical application in A/B testing.
• Excellent English communication skills , both written and verbal.
• B.Sc. in Industrial Engineering, Economics, Mathematics, Statistics , or a related field.
• Experience with data visualization tools (e.g., Tableau) - an advantage.
• Knowledge of product analytics tools (e.g., Mixpanel, Amplitude) - an advantage.