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 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.

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

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.