Data & AI Manager jobs in Tel Aviv-Yafo

Data-AI Lead About Us OurRitual is a fast-growing digital platform reshaping how relationship therapy works. We combine expert-led therapy sessions with AI-powered support to create a blended experience — where clinical depth and intelligent technology weave together into something neither could deliver alone. We call it Continuous Therapy. We've reached product-market fit with strong growth, exceptional engagement, and retention that breaks the category. We're pre-Series A, at the stage where AI moves from feature to foundation — and that shift runs straight through data. Role Overview As Data Lead, you will own how data gets turned into decisions across the company — and lead the shift from traditional BI into AI-driven BI, powered by agents that surface insight in real time. You'll work closely with one data engineer today, with room to grow the team as scope expands. You'll define what the data function looks like when AI is embedded in it, not bolted on — from the underlying infrastructure to the dashboards and agents people actually use. The playbook for AI-native BI is still being written, and you'll write a lot of it. Key Responsibilities Data Strategy & Ownership • Own the vision and roadmap for the data function, including the shift from classic BI to agent-based, AI-driven BI • Set priorities in partnership with senior leadership • Work closely with a data engineer today, with the option to grow the team as the function scales AI-Driven BI & Agents • Drive adoption of AI across data workflows — from automating analyses to agents answering business questions in real time • Own the semantic and metrics layer so every dashboard and every agent reads the same definitions • Build in a git-based workflow: dashboards and queries live in git, edited through PRs, built with agents • Expose our data to agents over MCP so business questions get answered without waiting for a dashboard • Define where AI speeds things up — and where human judgment still has to hold the line Infrastructure & Analytics • Own the data infrastructure: BigQuery, dbt, pipelines, and data reliability • Lead complex analytics work, A/B testing, and impact measurement, hands-on • Define evals and quality metrics for AI features and agents — not just A/B tests on dashboards Cross-functional Collaboration • Partner with product, marketing, finance, operations, and engineering to define analytical needs and turn them into solutions • Represent the data function to the organization — senior-level storytelling with data Skills & Qualifications • 7+ years of experience in data roles, spanning both analytics and infrastructure • Strong analytical foundation — you understand what makes analysis rigorous, not just what makes it automatable, and can use that to build an AI-driven analytics system that's actually trustworthy • Hands-on experience integrating AI into data workflows — building it, not just using it; you've shipped an agent or AI analysis flow that people actually use • Strong SQL skills and experience building scalable data infrastructure • Track record owning data projects independently with stakeholders across the business • Solid grounding in experimentation and statistical methods • Excellent communication and presentation skills at a leadership level • Comfortable being the most senior (and often only) data voice in the room Nice-to-Have Skills • Experience with dbt • Experience with Amplitude • Experience with BigQuery • Experience with git-based BI workflows or tools like Modus • B2C environment experience Why This Role Data teams are about to look very different — not because dashboards disappear, but because people expect answers faster than a weekly report can deliver. This is a rare opportunity to define what AI-native data leadership looks like at a company sitting on a dataset that doesn't exist anywhere else, with real ownership over how the function grows. If you want to build the data function that a category-defining product deserves, this is it.

About the role We’re looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities—from LLMs and agents to product data insights—are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making. Key responsibilities • Lead a team of data scientists, data engineers and product analysts • Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation • Drive excellence, code quality, and best development practices • Provide technical direction and hands-on guidance for complex AI systems • Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences • Ensure AI solutions are safe, scalable, observable, and continuously improving • Lead initiatives around product data analysis and experimentation • Analyze user interactions with product features to improve accuracy, UX, and business impact • Partner with product teams to define metrics, dashboards, and experiments that guide product improvements • Design system architectures for AI-enabled applications at scale • Evaluate and select technologies for AI platforms and data pipelines • Guide the development of prompt engineering frameworks and centralized prompt management • Ensure robust monitoring, evaluation, and feedback loops for AI outputs • Translate product and business goals into technical roadmaps and execution plans • Drive alignment between AI capabilities and measurable product outcomes Requirements • 6+ years of software engineering experience building production-level systems. • 2+ years of engineering management or technical leadership experience. • Strong experience building large-scale backend systems in Python. • Experience developing modern web applications using frameworks such as React / Next / Angular / Vue. • Experience deploying and operating LLM-based systems in production, including evaluation and iteration. • Strong understanding of data pipelines, experimentation, and product analytics. • Experience with modern cloud environments such as Google Cloud Platform or Amazon Web Services. • Passion for clean code, scalable architectures, and data-driven product development. • Experience with prompt engineering, RAG architectures, and vector databases. • Experience building AI agents or autonomous workflows Nice to Have • Experience with frameworks such as ADK, A2A, LangChain, LangGraph, or LlamaIndex or equivalent • Experience with gRPC and protobuf-based architectures • Experience building MCP servers • Background in data engineering, experimentation platforms, or ML infrastructure About april april is the only embedded, year-round tax platform built to power smarter financial decisions. From filing to planning to onboarding, april’s white-labeled tools bring real-time tax intelligence into the platforms people already use, helping users understand the impact of every paycheck, equity transaction, or income shift, and stay on top of tax payments throughout the year. Built to handle even the most complex tax situations, april’s AI-powered tax engine ingests data directly from partner apps to deliver accurate outcomes in record time—making tax planning and filing more connected, contextual, and accessible than ever. With API-first infrastructure and seamless data integrations, april helps partners deliver more value, deepen loyalty, and turn taxes into a strategic edge—for their clients and their business.