Data Leader jobs in Tel Aviv-Yafo

Description Sedric is the AI compliance platform for financial services. Our agentic AI automates oversight across customer communications and marketing — real-time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk. Our data lives in silos — Postgres, Snowflake, product usage, customer interactions, billing, infrastructure costs. Each one tells part of the story. Nobody sees the whole picture. When leadership asks “why did our cloud costs jump 30%?” or “which customers are actually driving growth?”, we spend days stitching together an answer that should take an hour. That gap slows down the decisions that matter most. We’re hiring our first Data Lead to close it. This is an engineer who thinks like an operator: you’ll build the foundation — architecture, pipelines, models — and then use it to connect product behavior, customer outcomes and business performance into one view that drives strategy. No inherited warehouse, no dashboard graveyard, no analyst backlog. A blank page, and a company that needs you to fill it. The Data Lead reports to our Head of Product, is based in Tel Aviv (hybrid), and works daily with Product, Engineering, Operations (GTM) and Finance. What You’ll Own The full data lifecycle — from raw data and modeling to insight, recommendation and measurable impact. You build the infrastructure, but the job is the decisions it enables. You go from data to analysis to action, and you own the outcome. • Data architecture — design and evolve the stack connecting Postgres, Snowflake, product usage, customer interaction, billing and infrastructure cost data into one source of truth • Pipelines and models — build and maintain production-grade ETL pipelines and clean, reusable data models in Snowflake and dbt • Data quality — set up checks and monitoring so nobody has to wonder whether a number is right • Product KPIs — define the metrics that matter across product, operations and the business, with one shared definition per metric • Strategic analysis — connect product usage, customer behavior, revenue and costs to answer the questions leadership is actually asking: where we grow, where we leak margin, what to build next • Product enablement — give Product the usage, adoption and retention insight it needs to prioritize, and make our own AI measurable: model accuracy, false positives, customer outcomes • Business operations enablement — give GTM and Finance self-serve dashboards, alerting and analysis on pipeline, revenue, unit economics and cloud costs • Impact — turn findings into initiatives with Product, Operations, Engineering and Finance, then measure whether they worked • AI-driven execution — use AI tools to write, review and debug SQL and dbt faster, so your time goes into judgment, not boilerplate Requirements You’re a fit if… You bring a data engineer’s foundation, an analyst’s business instinct, and the judgment to know when a simple query beats a sophisticated pipeline. • You have 5+ years of hands-on experience in data engineering or analytics engineering, with real exposure to business analytics • Your SQL is strong — this is a must — and you have deep experience with relational databases • You’ve built production-grade ETL pipelines and data models, not one-off scripts — ideally on Snowflake and dbt, with Python where it’s needed • You’ve built BI dashboards (Looker, Tableau, Omni or similar) and defined KPIs people actually trust • You connect the dots across domains — product usage to revenue, customer behavior to cost — and turn to an ambiguous question like “why did costs go up?” into a validated answer and a recommendation • You explain complex analysis clearly to engineers and executives, and you use it to move decisions, not just inform them • You’re skeptical of numbers that don’t add up, and won’t ship a dashboard you don’t trust yourself • You’ve been the first or only data person somewhere before, or you’re ready to be • Bonus: experience with product analytics or customer interaction data (calls, chats, messages), early-stage high-growth startups, or AI-driven products You’re probably not a fit if… • You want a fully built warehouse and a backlog of tickets waiting for you • You’d rather build the perfect pipeline than answer the business question in front of you • You’re a pure analyst who hands off the moment data needs engineering — or a pure engineer who stops at the pipeline • You need someone else to tell you which metrics matter • You see BI as a reporting function, not a decision-making one • You’re uncomfortable being the only data person in the room What Success Looks Like Day 30 — Mapped every data source across product, customer interactions, billing and infrastructure, and shipped a data quality audit flagging the biggest gaps and inconsistencies. Day 60 — Shipped the core data models and the first set of high-value product and business dashboards, with KPI definitions every team has signed off on. Day 90 — Delivered a data roadmap, moved at least one core metric from disputed to trusted, and brought leadership a data-driven recommendation that changed a decision. Compensation & Benefits • Competitive salary aligned with industry standards • Meaningful equity in a high-growth compliance AI company • Direct access to leadership — no bureaucracy between you and impact • Flexible, output-first culture — we care what you ship, not when you log on • Work on problems that matter in an industry that’s ready to change How to Apply & Important Notice Do you think that this is for you? apply directly or send your resume to [email protected] Equal Opportunity Employment Sedric.Ai is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or protected veteran status. AI & Recording Disclosure: To streamline our hiring process and ensure a thorough review, Sedric.Ai utilizes AI-powered tools to evaluate resumes, and our interviews may be recorded or assisted by an AI note-taker. By submitting your application, you acknowledge and consent to the use of these technologies during the recruitment process. If you prefer to opt out of AI resume screening or interview recordings, please notify our recruiting team at [Insert Contact Email/Link] to request a manual review or unrecorded interview.

Description Guardio is one of the fastest-growing companies in consumer cybersecurity - we’ve doubled revenue four years running, passed $150 million in ARR, and now protect over a million people, at a moment when AI has made scams more convincing than ever. AI has democratized cybercrime: scams that once required sophisticated hacking teams are now cheap, personalized, and everywhere. Traditional security wasn’t built for this - so we’re building it, protection that sees the person, connects all the dots - and stop attacks and scams wherever vector they come from. And honestly, we all feel here - it’s just the beginning! We are looking for a Director of Data. You will: • Lead, manage, and grow teams of data analysts, data scientists, and data engineers. • Collaborate with cross-functional teams to define and implement data strategy, policies and processes. • Drive the use of data and analytics to inform business decisions and drive growth. • Provide insights and analytics on media acquisition channels, user usage, business, and product metrics. • Ensure data quality and accuracy through continuous monitoring, auditing, and improvement of data management processes. • Create and maintain a data-driven culture by promoting data literacy and analytics throughout the organization. • Stay up-to-date with the latest data analytics trends and technologies, and assess potential new tools and techniques for implementation. Nice! Am I the right fit? Hard to tell. Our guess is you have a high chance of fitting in if you check as many of these as possible: • 7+ years of experience in data analytics, with a minimum of 5 years in a leadership role. • Proven experience leading a group of data professionals. • Experience in B2C, SaaS, or e-commerce companies. • Experience in self-serve enablement through agentic AI tooling • Strong background in data analysis, data visualization, and forecast modeling. • Expertise in SQL and proficiency in Python for data analysis and engineering. • Experience with cloud-based data management and analytics tools. • Google BigQuery and the Google data ecosystem - BONUS. • Strong communication and presentation skills, with the ability to translate complex data into meaningful insights for business leaders. Talk nerdy to me. Don't mind if we do. Our tech stack: • AI Tooling: Claude Code + Cursor with full data MCP access and skill-sets • Databases: BigQuery, MySQL, Clickhouse • Visualization and dashboards: Datastudio (Looker studio), Metabase, Mixpanel, Streamlit • In-house analytic tools and visualizations • ETL: DBT, In-house • Thinking of a great addition? Lets do it.

Description At Leadspotting, we’re building platforms that transform complex data into clear, actionable intelligence. We’re looking for a Data Team Lead to take ownership of one of our core data groups — a team building advanced, scalable data pipelines and AI-powered models that deliver real-time insights for public and private sector decision-makers. As a hands-on leader, you’ll manage a multidisciplinary team of data engineers, scientists, and analysts. You’ll work closely with product, engineering, and domain experts to drive the development of intelligent, data-driven products — using modern tools like PySpark, SQL, LLMs, transformers, and knowledge graph modeling. If you're passionate about AI, data architecture, leadership, and turning messy, complex data into clarity and impact — this is your place. Key Responsibilities • Lead a team of data scientists in developing GEN-AI driven NLP, CV, Big data analytics solutions. • Architect Design, and optimize LLMs, Agentic AI, transformer models, RAG pipelines, and classical ML/NLP/CV pipelines. • Work closely with Fullstack teams, and Product Managers and talented data engineers to integrate AI models into production systems. • Balance between 70% product delivery and 30% research, collaborating with a dedicated research team. • Engage with operational customers to understand their needs and translate them into AI-driven solutions they can trust. Requirements Required Qualifications Must-Haves • 2+ years of hands-on experience in AI/ML, with a focus on designing, training, and deploying LLMs and NLP models. With focus on text and topic analysis. • 3+ years of experience leading AI or data science teams, including mentoring, goal settings. Technical leadership. • Proven track record in LLMs (GPT, LLaMA, Falcon, etc.), RAG pipelines, semantic search, Agentic or transformer-based architectures. • Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow. • Experience deploying production-grade AI models in both cloud and on-prem environments, ensuring scalability and performance. • Ability to collaborate effectively with engineers, PMs, and operational customers to translate AI research into product features. Nice-to-Haves • Eligibility for Security Clearance Level 2 (active clearance – advantage). • Hands-on experience with knowledge graphs, topic modeling, or multimodal AI. • Familiarity with MLOps stacks (MLflow, Kubeflow, SageMaker, Vertex AI) and monitoring/observability for ML models. • Experience with Generative AI in production (fine-tuning, prompt engineering, safety/guardrails). • Knowledge in Palantir Foundry- for managing and integrating complex datasets. • Knowledge of data anonymization, encryption, and compliance frameworks (ISO, NIST, SOC 2). • Background in defense, mission-critical, or applied AI at scale. • Excellent leadership, problem-solving, and decision-making skills.

About Venn Venn is the sovereign AI platform for real estate. We turn each company’s data, knowledge and way of operating into its own Company Brain, then build bespoke applications and AI agents on top of it to grow revenue, reduce costs and improve performance. The intelligence stays the customer’s proprietary asset and compounds over time. More than 270 owners and operators run on Venn across 30 states and five countries. Our customers include Related, Bozzuto and Kairoi Residential in the U.S. and Grand City Properties in Europe. Our platform is approaching one million homes, and our contracted revenue has more than quadrupled in the past year. Venn has raised over $140 million from investors including Group 11 and NOA, and recently acquired a16z-backed Zuma to accelerate our AI agents. Our mission is to make sure AI sharpens what makes a real estate company different, instead of erasing it. Come build it with us. About the role We are looking for a hands-on Data Lead to build and own Venn’s data domain end-to-end. This is a key role for someone who combines strong engineering capabilities, deep data passion, product thinking, and business understanding. We are looking for a builder who can independently create the data infrastructure, deliver reliable dashboards and insights, support product and business decision-making, and turn data into a strategic asset for the company. This is not just a reporting or BI role. You will be responsible for building the data foundation that will support Venn’s next stage of growth- across infrastructure, product analytics, business insights, executive reporting, customer-facing analytics, and future AI-driven use cases. What you’ll do • Own Venn’s data domain end-to-end- from infrastructure and pipelines to dashboards, insights, and business impact. • Build and maintain scalable data pipelines across product, finance, GTM, customer, and operational data sources. • Design reliable data models and create a clear source of truth for key company metrics. • Build business and executive dashboards that help leadership understand the state of the business. • Analyze product usage, engagement, adoption, retention, feature performance, and customer value. • Support Product, R&D, Sales, Marketing, Customer Success, Finance, and leadership with meaningful data insights. • Translate business and product questions into clear data analysis and actionable recommendations. • Work closely with R&D, while being technically independent and able to build and deliver solutions without relying on engineering support for every step. • Define data standards, documentation, quality checks, metric definitions, and best practices. • Use modern AI tools to accelerate data development, analysis, documentation, automation, and insight generation. • Identify opportunities where Venn’s data can support smarter product experiences, automated insights, customer-facing analytics, and AI-supported decision-making. The must • 6+ years of experience in data engineering, analytics engineering, BI, product analytics, or similar data roles. • Strong hands-on development background- currently coding or previously worked as a developer / software engineer. • Strong SQL skills and experience building data models, pipelines, and reporting layers. • Experience working with modern data warehouses such as Snowflake, BigQuery, Redshift, or similar. • Ability to build data solutions independently, end-to-end, from technical design to implementation and delivery. • Strong product and business understanding, with the ability to connect data to real company needs. • Experience building dashboards, reporting layers, and business/product insights. • Hands-on experience using AI tools as part of day-to-day technical work, analysis, development, or data workflows. • Ability to work directly with stakeholders across Product, R&D, Finance, Sales, Marketing, Customer Success, and leadership. • High ownership, independence, curiosity, and strong problem-solving skills. The nice • Experience in B2B SaaS, marketplace, PropTech, real estate technology, or product-led companies. • Experience with product analytics, event-based data, funnels, cohorts, retention, and engagement metrics. • Experience with BI tools such as Looker, Tableau, Power BI, Mode, or similar. • Experience building semantic layers, metric layers, self-service analytics, or customer-facing analytics. • Experience with LLM-based tools, AI agents, automated insights, recommendation systems, or AI-powered analytics workflows. • Experience working in a fast-paced startup environment with ambiguity and evolving priorities. Who you are • You are a builder who likes taking unclear data problems and turning them into working solutions. • You are technical enough to build things yourself, but business-oriented enough to understand why they matter. • You can go deep into the data, but also zoom out and see the bigger picture. • You enjoy working with engineers, product managers, finance, GTM teams, and executives. • You want to build the data function, not just be part of one.

Simply's mission is to make the pursuit of creative hobbies simple and fun for all. Our top-grossing apps Simply Piano, Simply Guitar, Simply Sing, and Simply Draw put us on the fast track to building the world's largest consumer subscription service for creative learning. With over a million monthly downloads and hundreds of thousands of daily learners, we're building the AI creative companion for every home. What Data Leads do at Simply: We are looking for a Data Lead to own end-to-end data-driven business and product analysis. The Product Data Lead impacts all data aspects of the product teams (Data Modeling, Analytics, Tests, Visualization, Data engineering, ML), influencing critical product decisions. Who you are: • You have product understanding and orientation • You thrive in ambiguity • You turn unstructured reality into actionable models • You are excited when learning something new and applying it • An amazing people-person and team player • You do not shy away from accountability What you’ve done: • 4+ years of experience as a product analyst or any similar role - MUST • SQL master with experience in data modeling • Proficient in Python, R or other scripting languages • Worked with data visualization software (Tableau, Redash, Power BI, etc.) • University graduate in a quantitative field • Conducted user segmentation / churn prediction / funnel optimization in a production environment

Yotpo is leading the next era of trust and loyalty in eCommerce. With AI-powered Reviews and Loyalty solutions, we help brands turn browsers into customers and customers into advocates. Through deep integrations across the eCommerce ecosystem and the trust of over 30,000 global brands, Yotpo delivers seamless omnichannel experiences that increase conversion, strengthen customer relationships, and drive profitable, long-term growth. At Yotpo, we're on a mission to help brands deepen their relationships with customers through data-driven experiences, AI-powered solutions, and world-class commerce technology. As we continue to scale, data plays a critical role in powering our products, enabling smarter decisions, and driving operational excellence across the company. We're looking for a Director of Data to lead our evolving Data organization. This is a unique opportunity for an experienced technical leader who thrives at the intersection of leadership and execution. In this role, you'll shape the future of Yotpo's data platform and infrastructure while remaining closely connected to the technology, architecture, and innovation that drive our business forward. Why Join Us • Lead a strategically important Data organization during a transformative phase of growth and evolution. • Shape the technical vision, operating model, and future direction of Data Engineering and Data Infrastructure at Yotpo. • Work hands-on with modern data technologies, AI-driven workflows, and emerging platforms while operating at a senior leadership level. • Influence critical company-wide initiatives and partner closely with leaders across R&D, Product, Finance, Support, and GTM. • Join a culture that values ownership, technical excellence, continuous learning, and meaningful impact. Key Responsibilities • Lead Yotpo's Data organization in its next phase, driving a lean, high-performing, and highly technical operating model. • Own the technical vision, architecture, and execution across Data Engineering and Data Infrastructure. • Directly manage and mentor a multidisciplinary team, fostering growth, accountability, and engineering excellence. • Provide strong hands-on technical leadership, guiding architectural decisions, reviewing designs, and driving execution on critical initiatives. • Partner with stakeholders across the organization to deliver scalable data products and platforms that support business and product needs. • Drive modernization of Yotpo's data ecosystem, balancing proven data technologies with emerging approaches in AI, automation, and modern data platforms. • Lead strategic initiatives involving critical infrastructure, platforms, and investments, ensuring scalability, reliability, and operational efficiency. • Champion best practices in data engineering, platform reliability, observability, and operational excellence. Required Skills • 8+ years of experience in Data Engineering, Data Platform, Data Infrastructure, or related technical domains. • 3+ years of engineering leadership experience, including direct people management and ownership of strategic technical initiatives. • Strong hands-on expertise designing, building, and operating large-scale data platforms and distributed systems. • Deep understanding of modern data architectures, including data warehouses, data lakes, data pipelines, orchestration frameworks, and cloud-based platforms. • Proven ability to lead technical direction while remaining actively involved in architecture and implementation discussions. • Experience managing multidisciplinary engineering teams across Data Engineering, Infrastructure, Platform Engineering, or related functions. • Strong stakeholder management and communication skills, with experience partnering across technical and business organizations. • Demonstrated ability to drive cross-functional initiatives and influence outcomes in complex environments. • A passion for innovation and continuous learning, with a strong interest in AI, automation, and the future of data platforms. Preferred Qualifications (Nice to Have) • Experience leveraging AI, GenAI, LLM-based tools, or AI-assisted development workflows in engineering organizations. • Experience leading organizational or operational transformations within data teams. • Background in high-growth B2B SaaS companies. • Hands-on experience with technologies such as Snowflake, Databricks, Airflow, Kafka, dbt, or similar modern data tools. • Familiarity with DataOps, platform engineering, infrastructure automation, and observability practices. • Experience supporting business domains such as Finance, Customer Support, Revenue Operations, GTM, or Business Intelligence. • Strong understanding of emerging trends in AI-native engineering and next-generation data platforms. At Yotpo, we're committed to building diverse teams and creating an inclusive environment where everyone can do their best work. We encourage candidates from all backgrounds and experiences to apply. #LI-Hybrid

The Company Mixtiles is a $300M profitable consumer brand reinventing how homes feel. We build products people didn't know they needed - and now can't imagine living without. Wall photos. Self-watering plants. Smart lighting. Millions of customers. Global scale. Fast growth. Built lean. The Role At Mixtiles, we believe better decisions compound. A better attribution model changes where we invest. Better customer economics change how we grow. Better measurement unlocks entirely new business models. As we grow into a group of consumer brands, those decisions become more important - and more complex. That's why we're hiring this role. We're looking for someone who can help us build a better business through numbers. Not by building dashboards. By helping us answer questions like: • Where should we invest the next dollar? • Are we measuring marketing correctly? • Is our attribution model helping us - or holding us back? • Which customers are far more valuable than we realize? • How should multiple brands change the way we think about LTV? • Should we rethink pricing? Bundles? Subscriptions? Media strategy? • Where is the next $100M hiding? You'll work directly with the CEO and leadership team on some of the biggest decisions in the company. What You'll Do • Own the frameworks behind our biggest business decisions. • Lead how we measure growth, marketing performance, customer economics and profitability. • Rethink attribution, incrementality, media measurement and capital allocation. • Identify growth opportunities across products, brands, pricing and customer behavior. • Partner closely with Marketing, Product, Finance and Operations to improve decision-making across the company. • Lead our Business Analytics team, making sure every team has the data, tools and insights they need to make better decisions. • Turn analysis into action. Who You Are You're a business builder who happens to think in numbers. You have significant experience in performance marketing, growth, strategic finance or another highly quantitative commercial role. You've made real decisions around CAC, LTV, attribution, incrementality, cohorts, media economics and capital allocation. You enjoy messy business problems more than clean datasets. You simplify complexity. You challenge assumptions. You care about impact- not reports. Why This Role The work won't sit in dashboards. It will influence how we allocate hundreds of millions of dollars, how we measure success, where we invest next, and how multiple consumer brands grow together. If you're excited by using numbers to build businesses - we'd love to meet you.