--- title: 'Hands-on AI & Data Engineering Manager at april' canonical: 'https://feeny.ai/job/hands-on-ai-data-engineering-manager-april-tel-aviv-ehta1e0y7g2t' type: 'job' last_seen: '2026-09-11' --- # Hands-on AI & Data Engineering Manager at april - **Company:** april - **Location:** Tel Aviv, Israel - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-05-14 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/april/774e05c1-9cdd-44a2-af7a-9fde2bbfd47c/application **Skills:** Python, React, Next.js, Angular, Vue, Google Cloud Platform, Amazon Web Services, LLM systems, AI agents, Prompt engineering, RAG architectures, Vector databases, Data pipelines, Cloud environments, ADK, A2A, LangChain, LangGraph, LlamaIndex, gRPC > Lead a team building intelligent, large-scale consumer experiences powered by AI. The role involves leading engineers, integrating LLMs and AI agents, analyzing product data to improve AI performance, and designing scalable system architectures. ## Job description ## 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. ## About april ## Company Overview - **One-liner**: april is an AI-powered embedded tax platform that enables financial institutions to offer white-label tax filing, planning, and transcript retrieval directly within their products. - **Entity Type**: Private (Series B, $78M total funding) - **Headquarters**: New York, New York, United States (with offices in Tel Aviv, Israel; Poland; Colombia) - **Founded**: 2021 - **Founders**: Ben Borodach (CEO) and Daniel Marcous (CTO) ## Core Business - **Primary Industry**: Financial Services / Fintech – Embedded tax technology - **Target Customers**: B2B – banks, wealth management platforms, payroll & benefits providers, fintechs, and developer platforms - **Mission**: Build the world's most connected tax software, evolving tax from a backward-looking compliance function into a predictive, continuous layer of financial intelligence. ## Products & Services - **Tax Filing Suite**: White-label DIY filing, tax pro reviews, and pro-led filing – the first AI-powered tax platform to receive full IRS e-file authorization in 15 years. - **Tax Planning Suite**: “What-if” forecasting for paycheck optimization, liquidity events, and annual planning, integrated at the point of decision. - **Tax Transcripts**: Accelerate client onboarding by providing advisors and platforms access to comprehensive historical tax data and insights. ## Market Standing - **Valuation**: Not publicly available (private company) - **Key Metric**: Total Funding $78M; Annual Revenue $1.2M (as of 2026) - **Notable Investors**: QED Investors (lead Series B), Treasury (lead Series A), Team8 (lead Seed). Advisors include founders of Acorns, eToro, Lemonade, Betterment, and former CEO of Bank Leumi. - **Growth Signals**: Headcount of 78 employees (+48.5% YoY); 11 active job postings; presence across U.S., Israel, Poland, Colombia; Year-over-year LinkedIn follower growth of +146.2%. ## Competitive Advantages - **First-mover in AI-native tax**: The only AI-powered platform to gain IRS e-file authorization in 15 years (joining only 12 other providers nationwide). - **Deeply embedded approach**: White-label APIs allow financial platforms to own every financial moment, increasing deposits, engagement, and loyalty. - **World-class team pedigree**: Founders and executives from Google, Waze, TaxAct, PayPal, and Deloitte; strong talent pipeline from Intuit, Gusto, Amazon, and Israeli Military Intelligence. ## Strategic Focus - Scale embedded partnerships with wealth, banking, and payroll platforms to grow revenue and user base. - Expand product suite beyond filing into year-round tax intelligence (forecasting, transcripts). - Dominate the “tax as a service” category by making tax a connected, continuous financial layer. ## Why Work Here - **Culture**: Mission-driven (“Mission first, Team over ego, Win with determination”); collaborative, low-politics environment. - **Growth**: Rapidly scaling company with 48% headcount growth and significant funding runway – opportunity to shape a category-defining product. - **Team**: High-caliber peers from top tech and fintech companies; hands-on leadership that sets a high bar. - **Work Environment**: Hybrid/office presence in New York and Tel Aviv; remote flexibility for some roles; strong engineering and data science emphasis (Staff, Senior, AI roles open). - **Perks**: Not explicitly stated, but the careers page highlights meaningful work, ownership, and a solution-first mindset. ## Sources 1. [getapril.com](https://www.getapril.com/careers) 2. [getapril.com](https://www.getapril.com/about) 3. [getapril.com](https://www.getapril.com/) 4. [linkedin.com](https://www.linkedin.com/company/apriltax) 5. [tracxn.com](https://tracxn.com/d/companies/april/__9uA1-QhkLWRqyFTSN_4eBOTRzLNVNbfFWoVJ-3jjdRI) ## Other roles at april - [Solutions Consultant](https://feeny.ai/job/solutions-consultant-april-new-york-68705x28ebht) — New York, NY - [Tax Preparer - Seasonal (EA/CPA)](https://feeny.ai/job/tax-preparer-seasonal-ea-cpa-april-united-states-ax9p59qj2zd5) — United States - [Customer Success Manager - Wealth Management](https://feeny.ai/job/customer-success-manager-wealth-management-april-new-york-6tjfatrjzr7k) — New York, NY - [Senior Product Designer](https://feeny.ai/job/senior-product-designer-april-united-states-9w0fnxg2ewa2) — United States - [Associate Customer Success Manager](https://feeny.ai/job/associate-customer-success-manager-april-new-york-mbh4k4fjkr2k) — New York, NY - [Tier 1 Tax Support Specialist](https://feeny.ai/job/tier-1-tax-support-specialist-april-united-states-tchtqvmawpzn) — United States - [Tax Expert (Reviewer) - Seasonal](https://feeny.ai/job/tax-expert-reviewer-seasonal-april-united-states-253cd0hgtgew) — United States - [Tax Expert (Preparer) - Seasonal](https://feeny.ai/job/tax-expert-preparer-seasonal-april-united-states-h1372vngeb2w) — United States - [Customer Success Manager - Banking](https://feeny.ai/job/customer-success-manager-banking-april-new-york-0ywemeg6erk8) — New York, NY - [SRE / DevOps Lead](https://feeny.ai/job/sre-devops-lead-april-tel-aviv-qrr7h12vdj4n) — Tel Aviv, Israel