דרושים » תוכנה » Analytics Engineer

We are looking for an Experienced Data Engineer to join our marketing team and take end-to-end ownership of our data platform and production data pipelines. In this role, you will be responsible for building robust, scalable, and observable data systems that power analytics, reporting, and downstream business use cases. You will work deeply hands-on with data infrastructure, modeling, and orchestration, and act as a key technical partner to Marketing, Sales Product and Business and Finance teams.
This role suits someone who enjoys working close to the metal, designing systems that scale, and solving ambiguous data problems in a dynamic startup environment. You will play a critical role in shaping how data flows through the company, setting engineering standards, and ensuring data is trustworthy, performant, and ready for growth.
What You'll Do:
Design, build, and maintain scalable, reliable data pipelines and data warehouse architectures to support analytics and business intelligence needs.
Own the end-to-end ETL/ELT processes - ingesting data from internal and external sources, transforming it, and making it analytics-ready.
Model and optimize data structures (fact tables, dimensions, semantic layers) to support performant querying and reporting.
Ensure high standards of data quality, integrity, observability, and reliability across all data assets.
Partner closely with Analytics, Product, Marketing, and Finance teams to understand data requirements and deliver robust data solutions.
Implement monitoring, alerting, and testing frameworks to proactively identify data issues.
Optimize warehouse performance and cost efficiency (query optimization, partitioning, clustering, etc.).
Identify gaps in data collection and work with engineering teams to improve instrumentation and data availability.
Support experimentation and analytics use cases by enabling clean, trustworthy datasets for A/B testing and analysis.
Document data models, pipelines, and best practices to support scale and knowledge sharing.

We are looking for a highly technical and creative User Comms Manager to lead our communication strategy across the entire user journey. Sitting within the Marketing team and working hand-in-hand with Product, you will own how we talk to our users-from the moment they discover AI to when they become power users.
This is a unique position at the intersection of Marketing, Product, Engineering, and AI. You won't just be writing copy; you will be the architect of our CRM ecosystem, building AI-driven flows that deliver deeply personalized messages based on a users specific lifecycle state. You are a self-starter who blends analytical rigor with a sharp eye for creative copy.
What Youll Do:
End-to-End Lifecycle Comms: Own the strategy and execution of all user communications across acquisition, activation, retention, and re-engagement channels.
CRM Architecture: Act as the power user and admin for our CRM stack (e.g., Braze, Customer.io), ensuring data is flowing correctly and journeys are optimized.
Technical Stack Management: Partner closely with Product and Engineering teams to manage and optimize our communication infrastructure and delivery tools.
AI-Personalized Messaging: Collaborate with AI teams to design and deploy automated flows that generate personalized messages tailored to each user's unique behavior and journey stage.
Experimentation & Optimization: Lead an aggressive A/B testing roadmap to improve key business metrics, including profitability, conversion rates, and long-term retention.

As a Product Manager, you will own a product domain and play a key role in defining its vision, strategy, and execution. Youll work with engineering, data science, security, and go-to-market teams to build impactful solutions that drive our companys mission forward.
This role is broad and flexible, welcoming candidates from various backgrounds who have experience building scalable SaaS products, cloud-based platforms, security tools, or data-driven applications. We want to hear from you whether your expertise lies in product strategy, system architecture, API development, cloud security, AI/ML, or enterprise SaaS.
What Youll Do
Define and execute product strategy, ensuring alignment with customer needs and business goals.
Work closely with engineering teams to develop technical solutions that are scalable, secure, and easy to use.
Collaborate with cross-functional teams, including R&D, UI/UX, Sales, Marketing, and Customer Success, to bring features from concept to launch.
Translate complex technical challenges into product requirements and user-friendly solutions.
Own the product roadmap, prioritize features, and drive execution while balancing speed and quality.
Lead go-to-market efforts, ensuring successful adoption, engagement, and impact.
Stay ahead of industry trends in cloud computing, data security, and AI-driven automation to inform future product direction.
Use data and customer insights to continuously optimize and improve the product experience.

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io As the Product Operations Manager, you will be the operational backbone of our generative AI strategy, sitting at the intersection of Product, Engineering, Content, and Marketing. You will drive the scaling of evolving AI capabilities into stable, high-quality production environments while ensuring our models remain reliable, cost-effective, and seamlessly integrated into the user experience. Responsibilities Model Lifecycle & Governance: Manage the "AI Models Mapping" registry (experimental, production, and deprecated). Define the approval process for introducing new models and ensure the reproducibility of all model capabilities and configurations. Production Reliability & Performance: Maintain continuous visibility into the performance, reliability, and cost-efficiency of all production models. Conduct periodic sampling of generations to validate output quality and edge-case behavior. Feedback Loops & Insights: Analyze customer insights and user data to identify patterns. Slice and dice bug and feature request data to enable prioritization and help the product team understand where to iterate. Strategic Vendor & Stakeholder Management: Collaborate with external engineering teams (Google, OpenAI, fal.ai) to ensure model performance. Partner internally with FinOps, Growth, and BizDev to align on model routing, consumption, and spend. Operational Excellence: Build reporting dashboards, automated agents, and quarterly reports to establish facts-based product success. Lead weekly triage meetings with engineering teams to ensure clarity around priorities and execution. Knowledge Management: Act as the single source of truth for all AI model documentation, maintaining snapshots of live and discontinued models and their specific configurations. GenAI native applications management - Build/Submission processes for internal and external testing, approval and release.

We are looking for a Business Application Engineer to join our fast-growing team. In this role, you will build the internal systems, automations, and integrations that power the companys analytical and operational workflows. You will play a key part in enabling our teams to move faster, make better decisions, and scale their impact - all while contributing to a mission that improves the lives of millions.
If you are highly motivated, detail-oriented, and eager to leverage technology to solve real problems, this role is for you. Youre a team player, open-minded and collaborative, and you know how to turn ideas into working solutions. You embrace ownership, move quickly, and are excited to help shape the systems that drive us forward.
Responsibilities:
Design, build, and maintain internal tools, automations, and integrations that streamline workflows across data, legal, and operational teams.
Collaborate closely with analysts, product stakeholders, and legal data teams to understand their needs and translate them into scalable technical solutions.
Ensure system reliability, data integrity, and smooth information flow across internal platforms and APIs.
Develop backend logic and automation scripts that support high-quality, efficient internal applications.
Leverage AI tools and advanced prompting techniques to enhance automation, enrichment, and user experience.
Document system behavior, maintain internal tooling standards, and continuously improve performance, stability, and usability.
Stay up to date with emerging internal tools frameworks, automation practices, and AI-driven development approaches to keep us operating at the cutting edge.

The marketing world is undergoing its biggest shift in a decade. Discovery is no longer just "search"-it's increasingly mediated by AI. Users are asking questions in ChatGPT, Perplexity, and Google AI Overviews, and the traditional "search → click → website" funnel is fragmenting. This shift has created a new discipline: Generative Engine Optimization (GEO) and AI Engine Optimization (AEO).
we are uniquely positioned to lead this space. We have proprietary data that reveals not just what AI shows users, but what users actually do next-which channels they visit, where demand flows, and how brands win (or leak) visibility. Our mission is to help marketers understand their visibility in AI platforms, connect that visibility to downstream business outcomes, and take action to improve.
The Impact of This Role
As a Product Manager for our GenAI team*, you will own the data backbone of Gen AI Intelligence. You'll need to be sharp on how to combine, utilize, and analyze diverse data sources** to answer the questions our customers need answered.
You'll work at the intersection of our Data Science team, Data Engineering team, and Platform team-turning raw data assets into user-facing products. But building the right products requires understanding the domain: you'll dig into SEO/GEO workflows, spend time with customers and design partners, and learn how marketing teams actually operate. The goal is to let user context drive your data decisions.
Your core mandate:
Own a product area end-to-end within Gen AI Intelligence-from the underlying data and pipelines, through the user-facing experiences, to how customers extract value via APIs and integrations.
Define what data we need, how we structure it, and how we expose it to users and downstream systems
Deeply understand user workflows and jobs-to-be-done to identify the highest-leverage data solutions
Partner with Data Science to translate models and extractions into usable, reliable data pipelines
Ensure data quality, coverage, and governance across our Gen AI data estate
Drive product development end-to-end: from discovery through definition, prototyping, design, development, and deployment-with continuous iteration
Collaborate across a multi-disciplinary team: data scientists, data engineers, full-stack developers, UX designers, product marketers, and business stakeholders.
What you'll do day-to-day
Obsess over user context: Understand how SEO practitioners, content marketers, and marketing leaders actually work-what questions they're trying to answer, what data would unlock value, and where current solutions fall short
Define data products end-to-end: From discovery through definition, schema design, pipeline development, and delivery-ensuring consistent quality and velocity
Connect data to user outcomes: Work closely with product teams that consume your data (reporting UX, recommendations, APIs) to ensure the data products actually solve user problems
Partner deeply with Data Science and Engineering: Translate DS models into production-ready data products; define requirements for data engineering pipelines; prioritize platform investments;
Define the core metrics, datasets, reports, and insights that will be made available to our users through our SaaS platform, APIs and MCPs.
Own data quality and coverage: Define metrics for data completeness, accuracy, and freshness; build feedback loops to continuously improve
Make tradeoffs with evidence: Use quantitative and qualitative analysis and user research to prioritize ruthlessly-not everything can be built, so you need to know what matters most.

Knowledge is not just a supporting function at our company- its the foundation of our product and one of the core reasons customers choose us. When a company uses our company to hire globally, theyre not just outsourcing payroll or compliance; theyre buying instant access to deep, always-up-to-date expertise on how work gets done in 100+ countries. That knowledge powers everything from contract creation to tax calculation to leave policies - and its what gives our platform its competitive edge. And, it is what grounds our AI Products. In short, Knowledge is the most foundational building block at our company.
The Knowledge group is building the infrastructure that turns this proprietary expertise into a product: a next-generation CMS, country knowledge base, and a scalable system for surfacing product and regulatory logic across our company. This includes near real time knowledge ingestion, the best in-class knowledge retrieval and a framework for customised knowledge apps.
If youre excited about building foundational systems that touch almost every workflow in the business - and about disrupting global compliance by transforming messy, manual, fast-changing information into powerful, scalable software - this is the team to join.
What Youll Do
As a Staff PM, youll:
Own the Knowledge Platform and Knowledge Apps, CMS, and AI-powered knowledge distribution tools - used by thousands of customers and internal agents daily.
Drive the automation and intelligent maintenance of large-scale, ever-changing content systems, especially around global labor laws and compliance data.
Partner deeply with content, engineering, design, AI, support, legal, and GTM teams to build both backend systems and polished frontend experiences.
Shape how knowledge is structured, stored, and distributed - from schema design to UX surface.
Elevate our companys UI quality by using the Knowledge Hub as a flagship product for design and usability.
Balance internal efficiency (CMS) with external delight (Hub, AI, and embedded surfaces).
Drive clarity and rhythm within the team - managing planning, priorities, and execution through structured but lightweight agile practices.
Work with our Knowledge content team to ensure the highest quality knowledge content.

we are looking for a Staff Engineer.
As a Staff Engineer, you will serve as the technical anchor for a critical business domain. Your mission is to look beyond the immediate sprint and shape the long-term architectural vision that allows our product to scale, evolve, and deliver massive value.
You will operate at the intersection of Business Strategy and Deep Tech. You wont just be senior support; you will be a strategic partner to Product Leadership, defining how we solve our biggest problems. You will act as a Force Multiplier-tackling the most complex cross-team challenges while simultaneously elevating the skills, velocity, and quality of every engineer around you.
Key Responsibilities:
Own the Technical Vision: Define and drive the architectural roadmap for your product domain. You will anticipate scaling bottlenecks, design resilient distributed systems, and ensure our tech stack supports the next 10x of business growth.
Solve the Hard Problems: Tackle complex, cross-cutting technical challenges that span multiple teams or services-whether its migrating a legacy monolith, optimizing high-throughput data pipelines, or defining new API standards.
Be a Force Multiplier: Mentor Senior Engineers and Tech Leads, helping them grow into the next generation of leaders. You will introduce engineering patterns, tools, and practices that make the entire organization faster and safer.
Partner with Product: Work directly with Directors and VPs of Product to validate feasibility early in the discovery phase. You will translate ambitious business goals into pragmatic technical strategies.
Remain Hands-On: While you lead strategy, you are still a builder. You will code the critical paths, prototype complex solutions, and set the standard for code quality and review.

At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

we are a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work
At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

Location: Tel Aviv

The Role
Were looking for a hands-on Technical Lead / Architect to design, build, and guide the development of scalable, secure, and resilient systems. As a key member of our engineering team, youll own architectural decisions and lead the delivery of a large-scale SaaS platform that powers mission-critical experiences for our customers. Youll collaborate with seasoned engineers and product leaders to shape and implement our technology vision - spanning everything from REST APIs and distributed microservices to data pipelines and analytics infrastructure. Youll work with modern open-source tools, cloud-native frameworks, and DevOps practices to deliver solutions that scale efficiently and securely.

Your Day-to-Day

Lead the design and implementation of core backend systems and microservice architectures.

Drive technical decision-making, ensuring performance, scalability, and security-by-design.

Collaborate cross-functionally with product, DevOps, and data teams to align architecture with business goals.

Champion code quality, automation, observability, and engineering excellence.

Mentor engineers, conduct design and architecture reviews, and raise the teams technical bar.

Work closely with data scientists to integrate machine learning / AI models into the system.

Stay ahead of emerging technologies, frameworks, and cybersecurity best practices relevant to SaaS architecture.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI High-Performance Computing workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our company Cloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Design and implementation of high-complexity features. Deliver robust, production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Architect scalable and performant storage solutions. Make data-driven decisions to optimize system efficiency and reliability.
Provide deep-dive code reviews and technical guidance to the team. Set the standard for engineering excellence and help maintain a high quality bar for all deliverables that addresses the expectations of key our company customers.
Identify and resolve performance bottlenecks and intricate system issues. Develop innovative, practical solutions to technical challenges that arise at the intersection of storage and ML.
Partner with product and engineering stakeholders to translate customer requirements into technical specifications, ensuring the incubations output aligns with broader our company Cloud goals.