דרושים » הנדסה » Analytics Engineer

Join our company's growing Travel Product Strategy & Analysis team as an Analytics engineer focused on driving strategic product decisions through data-driven insights. You'll be at the center of product investment strategy, working directly with Product Managers, Engineering, Design, Leadership and Data Teams to harness data insights and empower teams to optimize our marketplace and user journey on our company Travel.
As a key member of our small, high-impact team, you'll own business understanding for our travel platforms and serve as the analytical backbone. You will focus on execution by delivering insights, building dashboards, track metrics, develop models and analyze results. This role combines deep data fundamentals and thorough analytical rigor with strategic product thinking to influence investment decisions.
What Youll Do:
Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
Champion data quality, documentation, and execution to ensure observability and trust across the organization
Own all data aspects of the flights team line of business
Spearhead AB testing development and implementation to increase deployment trust.
Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity.

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.

We are searching for a Senior Data Engineer to join our growing team in Tel Aviv and serve as a cornerstone of data evolution. We need an experienced, high-impact engineer ready to elevate our infrastructure from "functional" to "world-class."

As a pivotal member of the team, you wont just build pipelines; you will architect the future of our data ecosystem. Were looking for someone who obsesses over query latency, high-performance analytics, and cost-efficiency - someone who views data integrity as non-negotiable and thrives on turning complex event streams into elegant, scalable models.

Responsibilities
Lead the end-to-end data strategy, evolving our event-driven architecture to ensure seamless, low-latency data flow across the organization.
Design and implement robust, scalable data models that serve as the "single source of truth" for the entire organization.
Act as our internal Snowflake expert - optimizing performance and cost through best practices in clustering, materialized views, and warehouse management.
Build and maintain sophisticated ELT/ETL pipelines that transform raw event data into actionable insights, with a heavy focus on reliability and observability.
Proactively identify infrastructure bottlenecks and re-engineer processes to handle increasing scale without breaking a sweat.
Partner closely with Product and Engineering teams to translate business needs into technical reality, while mentoring analysts and peers on high-quality SQL and architectural standards.

Were looking for a talented BI Engineer to join our BI team and spread the power of our company. The BI team builds the analytics foundation that powers our company's product strategy and global business growth. We are looking for versatile builders and independent thinkers who can translate complex product domains into scalable data models and AI-driven workflows. If you are a logical thinker with a passion for creating high-impact data products and redefining how organizations interact with data, this role is for you.
WHAT YOULL DO
Lead analytics initiatives end-to-end: requirement gathering → metric definition → data modeling → dashboard delivery.
Partner with Product Managers to define KPIs and translate complex business needs into scalable data models in dbt and BigQuery.
Drive the evolution of BI infrastructure at our company, building reusable models and standardized metrics to enable scalable self-service analytics.
Lead AI-powered initiatives and automation to redefine data discoverability and improve company-wide efficiency.
Own data observability and governance, architecting a scalable BI platform to deliver high-impact data products.
Independently lead cross-functional projects, managing complex stakeholder relationships with a high-ownership approach.

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.

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're on the lookout for a Senior Product Manager who's ready to dream big, lead boldly, and make an incredible impact on both our product and the businesses that rely on it.

Speed is table stakes now. AI handles a lot of the execution. What we're hiring for is judgment: the product sense to know what's worth building, the taste to know when something isn't good enough yet, and the conviction to make the call. We're not looking for someone who only manages backlogs and writes specs. We're looking for someone who uses AI as a genuine force multiplier, building prototypes, compressing research cycles, and moving from idea to evidence faster than most teams move from idea to meeting.


As a Product Manager, you will:
Decide what to build, and what not to. You'll set direction on the roadmap with conviction, backed by customer understanding and sharp product instincts.
Play a key role in defining and building a new strategic product, getting in early enough to shape its direction, positioning, and core experience.
Work with R&D, Design, Business, and Customer Experience teams to validate, launch, and iterate.
Build your own prototypes and POCs using AI tools to validate assumptions before engineering cycles begin, reducing waste and increasing the quality of what gets built.
Use AI natively throughout your workflow
Analyze user behavior, performance, and trends, going beyond dashboards to surface non-obvious insights and translate them into product decisions that move the needle.
Gather and integrate insights from customers to guide the product development process and validate key decisions.
Oversee everything from backlog management and feature prioritization to release planning and ongoing iterations, without losing sight of the bigger picture.
Maintain expertise on the latest trends, technologies, and best practices to ensure stays at the forefront of innovation.

our Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day:
On a day-to-day basis, we transform raw data into clean, structured models using tools like SQL, Python, and dbt. We build and maintain modern BI platforms, develop reporting systems, and design AI-driven analytics that surface valuable insights quickly and reliably. Our team is hands-on with building reusable metrics, defining source-of-truth data models, and ensuring consistency through a strong semantic layer. Whether were shipping a new dashboard, debugging a dbt model, or refining how a metric is defined across the business, our focus is always on clarity, scalability, and enabling smarter, faster decisions.

Required AI Product Manager
Tel Aviv, Israel Full-time
About The Position
A global e commerce company with multiple brands, millions of customers, and an in house platform we built from the ground up. We need a Product Manager first: someone who can own a roadmap, obsess over funnels, run tight sprints, and ship features that move the needle.
But we also need that PM to be AI native. AI isnt a buzzword to us. Its an operating system upgrade for how we build products, make decisions, and ship. So were looking for a PM who doesnt just use AI tools but thinks in AI. Someone who wakes up excited about whats newly possible, and goes to sleep prototyping it. If youre still debating whether its a fad, this role is not for you.
Responsibilities
Own the Product, End to End:
Define, prioritize, and drive the storefront platform roadmap. You own the why and the what, and you fight for what matters most.
Write clear product requirements, user stories, and acceptance criteria that engineering can actually build from. No hand waving.
Run the full product lifecycle: discovery, definition, development, launch, and iteration. Youre accountable for outcomes, not just output.
Maintain a deep understanding of the e commerce funnel. You live and breathe conversion rate optimization, and you know which levers actually move revenue.
Collaborate with the data team to monitor key performance metrics, design experiments, and make decisions grounded in evidence, not gut feeling.
Supercharge It All with AI:
Use AI and vibe coding to rapidly prototype ideas, validate concepts, and build functional proofs of concept before a single engineering sprint is planned. You dont wait for specs to be approved; you show up with a working demo.
Identify and drive AI powered product features across the customer journey, from AI driven discovery and exploration, to personalized recommendations, smart search, and dynamic content generation.
Continuously evaluate and integrate new AI capabilities into our products. Youre the person who finds the new tool on Tuesday and has it in production by Thursday.
Lead Across Teams:
Work with R&D to facilitate idea to delivery with AI flows. You should be pushing PRs in no time.
Champion the integration of AI across product workflows, not just in the product itself, but in how we build, test, and iterate as a team.
Collaborate cross functionally with marketing, design, and business stakeholders. Translate their needs into product specs, and then surprise them by shipping faster than they thought possible.
Facilitate seamless feature rollouts and integrations, aligning efforts between R&D, marketing, and customer facing teams. Youre the glue that keeps everyone moving in the same direction.

Required Product Manager
the company makes it possible for anyone to succeed online. since 2006, weve grown to around 5,500 employees in 22 countries, launched over 40 products, and serve over 243 million users and their visitors worldwide. here, we push you to innovate, evolve in non-traditional ways, and collaborate. we operate in small teams that work closely together at a high level.
although were already industry leaders in web creation and business, our work is nowhere near done. our goal is to become the main engine of the internet so we can create a more open web for all.
we believe solving complex problems starts by building strong infrastructure and platforms supported by engineers working with cutting-edge technology.
we are seeking an experienced Product Manager to lead our payments onboarding and account management initiatives. this role is designed for a visionary who leverages ai to redefine product velocity - using advanced tools to automate high-scale processes and streamline the product lifecycle. you will own the strategy for global fintech flows, ensuring a seamless User Experience while navigating the complexities of pii and legal compliance.
ai-driven velocity: leverage ai tools to accelerate research, data extraction, design prototyping, and code assistance to ship products faster.
scale through automation: architect and implement ai-driven automation to manage high-scale onboarding and account management workflows.
full product ownership: lead the lifecycle from discovery and competitive analysis to technical specifications and global launch.
regulatory navigation: partner with legal/compliance to translate pii requirements and complex regulations into frictionless user journeys.
data -led strategy: define product roadmaps and success metrics using quantitative insights and rapid a/b testing.
cross-functional leadership: collaborate with engineering, UX, and risk teams to build secure, resilient, and scalable financial systems.
UX excellence: drive the creation of intuitive, high-trust interfaces for sensitive financial interactions.
were the payments team. we provide users with the best way to collect payments from their customers and manage their income online, in person, and on-the-go. were passionate about crafting the best experience for our users, and empowering any business to realize its full financial potential. we have developed our own custom payment processing solution that blends many integrations into one clean and intuitive user interface. we also build innovative products that help our users manage their cash and grow their business.