Engineering Manager jobs in Israel

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake redefined the data landscape over a decade ago, and our biggest opportunity is also our customers' biggest challenge: migration. For every enterprise ready to harness the power of the AI Data Cloud, there lies a complex web of legacy systems that can take years and millions of dollars to untangle. We believe Generative AI is the key — we are building products that don't just move data, but understand and rewrite the logic of entire data applications. We are seeking a Manager, Frontier Engineering (Migrations) to sit at the intersection of customer delivery and product engineering. This is a unique hybrid role: you will lead a team of forward-deployed engineers who work directly with customers and partners on complex migration projects while simultaneously driving the development of AI-powered migration tools and products. Your team will be the bridge between field realities and product innovation — turning hard-won migration patterns into scalable, automated solutions. AS A MANAGER, MIGRATIONS YOU WILL Team Leadership & People Management Manage and mentor a team of Forward Deployed Engineers, providing clear feedback, identifying strengths, and developing growth paths Recruit, hire, and onboard future team members, setting them up for success in both customer-facing delivery and engineering contributions Foster a culture of creativity, innovation, and practical decision-making across delivery and engineering work streams Support engineers in their career development, growing both technical delivery leads and engineering leaders Customer Delivery & Project Execution Provide strategic oversight for migration projects, ensuring alignment with customer objectives and company goals Lead teams executing complex migrations from legacy systems (Oracle, Teradata, Netezza, SQL Server, etc.) to the Snowflake platform Act as the primary escalation point for delivery concerns, working closely with customers and system integrators Maintain a hands-on presence on strategic projects, leveraging your technical expertise to assess quality and unblock teams Collaborate with sales teams to scope opportunities, develop proposals, and ensure effective account strategy execution Engineering & Product Build Drive the design, development, and iteration of AI-powered migration tools and products based on real-world customer needs Guide the team through an evolving AI ecosystem to build AI-first products — including code translation, developer co-pilots, and semantic validation Translate field insights and customer requirements into engineering roadmap items and product improvements Collaborate with Engineering and Product Management organizations to align on priorities and deliver high-quality solutions Encourage the development and sharing of best practices, utilities, and accelerators that streamline migrations and feed back into product Cross-Functional Impact Work with organizational leaders to influence GTM strategies, leading initiatives and improvements across Sales and Engineering Facilitate knowledge sharing and cross-team learning between field engineers and product engineering teams Present to both technical and executive audiences, articulating migration strategies, product vision, and business outcomes OUR IDEAL CANDIDATE WILL HAVE University degree in computer science, engineering, mathematics, or related fields (or equivalent experience) 7+ years of experience in technical roles involving customer-facing delivery, engineering 5+ years of people management experience — mentoring, coaching, and developing technical teams 3+ years of experience building and delivering enterprise software products, particularly involving AI/ML or developer tools Demonstrated success leading teams through complex data platform migrations and cloud transformation projects Strong foundation in databases, data warehouses, and data processing — hands-on experience with large-scale systems (Oracle, Teradata, Netezza, SQL Server, Greenplum, Hadoop) Deep understanding of cloud platforms (AWS, Azure, GCP) and the complete data analytics stack (ETL, data platform design, BI/analytics tools) Familiarity with data integration/transformation tools (Informatica, DataStage, Talend, Matillion, dbt) and BI tools (Tableau, MicroStrategy, Business Objects) Extensive hands-on expertise with SQL, SQL analytics, and scripting (Python, Perl, Bash) Resourceful, data-driven, strong partners, and able to step in as PM, program manager, or architect when needed Hiring and growing the team, technical leadership (including for staff+ engineers), driving projects from idea to production, and partnering across teams and with customers Strong experience scoping engagements — developing delivery estimates, proposals, and project plans Outstanding presentation skills for both technical and executive audiences Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

About Stigg Every AI company is accidentally building a bank. Every prompt, agent run and API call spends real money, and something has to decide, in real time, who is allowed to do what and how much it costs. Stigg is the usage runtime for AI products. We sit in the request path and give engineering teams real-time entitlement enforcement, AI credits, usage metering and spend governance, so they can launch any pricing model without building a ledger into their codebase. AI Credits, Under Control. Teams at Miro, Webflow, PagerDuty, Upwork, Qlik and AI21 Labs run on Stigg. In June 2026 we launched Stigg 2.0 at the AI Engineer World's Fair, and AI startups started showing up on their own. The role Stigg powers mission-critical infrastructure for some of the world’s largest software companies. Reliability and trust aren’t just nice-to-haves for us, they’re at the core of everything we do. Today, Stigg manages over 100 million customers and subscriptions, and since launching Stigg 2.0, we’ve roughly doubled self-serve signups from AI startups, adding to a growing base of enterprise customers already running on Stigg. We’re looking for a Head of Engineering to build a world-class engineering organization: one that moves fast, delivers consistently, operates with excellence, and takes pride in the quality of its work. You’ll lead our engineering team leads, own how we plan, build, and ship, and report directly to the CTO. We’re building Stigg for the AI era, and we believe the way engineering teams operate needs to fundamentally change. Our vision is an engineering organization where AI agents handle most of the execution, freeing engineers to focus on the hardest problems, critical decisions, and creative work that moves the business forward. You’ll have the ownership and freedom to turn that vision into reality at Stigg. What you'll own • The engineering org: Develop our team leads into great managers and build strong teams around them. Raise the bar on who we hire, grow engineers into leaders and push decisions down so teams move without waiting on you. Build the org you would want to join. • Delivery: Turn company goals into one engineering plan and own it end to end. Make the call when teams compete for the same people. The whole company should know what engineering is shipping and when, without having to ask. • Focus: Make sure every team knows why it is building what it is building, decide how much time goes to paying down technical debt, and keep engineering on the goals that matter instead of whatever came up this week. • How we work: Find the friction in how engineering works and remove it. Set one way of working across all teams, from planning to production, that people actually follow. • AI-powered engineering: Hand most of the execution work to AI, from boilerplate and tests to migrations and first-pass code reviews. If something manual happens twice, it should be automated. • Reliability and cost: Our customers run their pricing, credits and usage limits on Stigg. Own on-call, incident response and the 99.99% uptime bar, and keep cloud spend in check as usage grows. • Technical direction: Bring your judgment to the big technical calls, shape the product roadmap with the founders and lead strategic projects yourself. Who you are • A leader of leaders. You have grown engineers into team leads and team leads into strong managers, and the teams you built kept performing after you left. • Done it before. You have run multiple engineering teams at high-growth companies, and you can tell us what each org looked like when you started and when you left. • Deep technical background. You spent years building and running large-scale distributed systems before moving into leadership, and engineers trust your technical judgment. • Light on process. You fix what gets in a team's way with the smallest process that works, and you remove process that no longer earns its place. • AI-native. You use AI agents every day and have opinions, backed by results, on how a whole team should work with them. • High agency, low ego. You jump in when something is on fire and step back once it is not. You like working directly with founders, with no committee in between. Requirements • 10+ years in software engineering, including 5+ years managing multiple engineering teams through their leads (e.g. as head, group manager or director of engineering), ideally at more than one high-growth company • Experience running delivery across several teams that depend on each other, on an API-first product • Experience owning production systems with strict uptime and latency requirements, including monitoring, on-call and incident response • Measurable improvements in how an engineering org delivers, ideally with numbers you can walk us through • Experience hiring engineers and growing engineers into team leads Bonus points • You have led engineering for billing, payments, financials or another system where every number has to be right • You have rolled out AI agents for internal use cases across a team and can show what it changed • You have owned a cloud budget and brought spend down as usage grew • You have scaled an engineering team from around 10 to 30+ engineers, adding teams while keeping one way of working Why you'll love working at Stigg Joining now means building the engineering org behind the usage runtime for AI products, at the exact moment every AI company is figuring out how to meter, price and control usage. You get a strong team, a clear mandate and a direct line to the founders. If you are excited about building a world-class engineering org, and about what engineering looks like when agents do most of the execution, we would love to meet you. Perks, office and location • Stock options, competitive salary, latest MacBook Pro, dog-friendly office and great team vibes. • We work from our Tel Aviv office 4 days a week.

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. Parallel Wireless is looking for an experienced AI Engineering Manager to lead our AI team within R&D and drive the development and integration of AI capabilities across our RAN product portfolio. The team works on production-focused AI solutions, including agentic AI for network operations, AI-driven optimization and automation, technical assistants, and automated root cause analysis. In this role, you will combine technical leadership, people management, and execution ownership to take AI initiatives from concept through productization and measurable impact. You will define the technical direction and roadmap, lead and grow a multidisciplinary team of AI/ML, software and domain engineers, and work closely with R&D, Product, Systems and global teams to bring scalable AI capabilities into our products. What you will do: Lead the AI team and own its technical direction, roadmap and execution. Drive AI/ML initiatives from concept and prototyping through production deployment and ongoing optimization. Define clear success metrics and ensure AI solutions deliver measurable product and business impact. Lead architecture and technical decision-making around AI models, platforms, tools and data. Build and grow a strong multidisciplinary team, including recruitment, mentoring, performance management and career development. Establish strong engineering practices around evaluation, scalability, reliability, monitoring and model lifecycle management. Work closely with Product Management, Systems Engineering and R&D teams across Israel, India and the US. Partner with RAN and domain experts to identify opportunities where AI can improve network performance, automation and operational efficiency. Support customer-facing discussions, trials and PoCs where relevant. What you should have: 3+ years of experience leading engineering teams, with responsibility for people management, hiring and delivery. 8+ years of experience in software, systems or AI/ML engineering, with a strong technical background. Proven experience delivering ML or LLM-based solutions into production, with measurable impact and ownership from development through deployment. Strong understanding of modern AI technologies and architectures, including LLMs, RAG, AI agents, tool calling, evaluation methodologies and MLOps/LLMOps. Hands-on familiarity with relevant technologies such as Python, PyTorch, vector databases and modern AI development frameworks. Strong ability to evaluate AI opportunities, define technical approaches and translate them into practical, scalable solutions. Experience building and developing high-performing technical teams. Experience working in a global, cross-functional R&D environment. Fluent English, written and spoken. What is nice to have: Experience in telecom, RAN, wireless communications, real-time systems or another complex technology domain. Knowledge of 4G/5G technologies and network architecture. Experience applying ML/AI to network, operational or time-series data. Experience developing AI assistants, agentic systems or intelligent automation solutions. Experience delivering products to enterprise or telecom customers with high requirements for reliability and performance. Education: B.Sc. or M.Sc. in Computer Science, Electrical Engineering or a related field. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Description About Us: Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered across a company's systems, then act on it across the case lifecycle: automating what we can, escalating to a human expert when it matters. Built on 100+ deep integrations, the platform runs products already live in production, including Self-Service, Knowledge, Triage, Assist, Intelligence, Alerting, and QA, all sharing one foundation so they ship fast and improve as the platform grows. That shared foundation makes this an exciting, unusual place to build. Each product we launch would have been an entire company in the pre-AI era; for us, it's a focused product on common infrastructure, so each deployment builds on the last. Our no-code Agent Builder lets teams design and deploy agents with governance and traceability, while our Customer Context Model routes recurring issues and account risk to the teams that can fix them. Every deployment lowers our customers' cost to serve. We're hiring engineers and product leaders who want to build systems that get more capable the more they run. What you’re applying for: We are looking for a passionate VP of Engineering to help build our breakthrough AI product. As a VP of Engineering at Mosaic- AI, you will steer the development of our cutting-edge AI Sidekick and MosAIc technologies. In this pivotal role, your primary responsibility is to lead, guide, and mentor a team of talented software developers. You will be actively involved in planning, designing, and executing multiple software development projects while utilizing your extensive knowledge of software development to provide technical guidance and support to your team. What are we looking for: • Strong Technical and Management Background • Expertise in Key Technologies: • Architecture savvy- A must • Proficiency in Python, with a solid understanding of software development best practices in this language- an advantage • Knowledge and hands-on experience with JavaScript, Typescript, and React/Angular- An advantage • Knowledge in Docker, micro-service architecture, FastAPI, Express, and Terraform- An advantage Requirements • Minimum of 10 years of experience as a software engineer, with a proven track record in large-scale, production-grade software development projects. • At least 4 years in a management or group leadership role, ideally overseeing high-output teams. • A degree in Computer Science, Engineering, or a related field from a reputable university- An advantage • Leadership and Interpersonal Skills: • Strong communication and leadership skills, capable of effectively motivating and managing software development teams. • Experience in leading leaders- An advantage. • Excellent interpersonal skills and a team-oriented mindset.

What Do We Do? Triple Whale is the AI operating system built for modern ecommmerce. We help you see what's actually working in your business, what's not, and what to do next. Then we take action for you — pausing the underperforming ad, generating the next batch of creative, flagging the inventory risk before it bites. We pull every signal in your business into one place, and put it on the most trusted measurement foundation in the industry. And on top of that, we give you the most actionable AI in commerce — Moby 2 — letting you tap any LLM you want, grounded in the full context of your business. Moby 2 doesn't just surface insights, it executes decisions for you, with automations that make the rest of your stack smarter. The result: more than 65,000 brands like Pressed Juicery, OUAI, and True Classic turn mountains of complex data into actions that actually grow profit, at a speed and scale that is not humanly possible. Why Triple Whale Needs You: We’re looking for a Director of Engineering to lead our Measurement engineering organization, currently spanning approximately five teams (15 engineers) and growing. You’ll directly manage the team leads and own the area’s technical direction, execution, and operational performance with the opportunity to shape both the systems we build and how our teams work as we scale. This role is approximately 70% management and 30% hands-on technical work. To succeed at Triple Whale, you need to understand the details deeply: how systems work, where data comes from, why decisions were made, and what is blocking progress. You should be comfortable moving from a leadership discussion into code, data flows, or a production investigation. Staying close to the code and production systems will give you a deep understanding of their intricacies, dependencies, and trade-offs, grounding your leadership in firsthand technical knowledge. Triple Whale has experienced rapid growth while intentionally maintaining a startup mindset. We’ve prioritized speed, ownership, and the ability to move quickly over adding process for process’s sake. As we continue to scale, part of this role will be identifying where greater structure and stronger processes will help the team operate more effectively, while being thoughtful not to introduce unnecessary bureaucracy or compromise the speed that is core to how we work. We tend to work in short cycles and adapt quickly to customer needs, which means to be effective you must be comfortable with regular context switching and dynamic prioritization. You’ll connect the work across Measurement, bringing together business priorities, customer needs, and technical context so teams can make clear decisions and deliver effectively. You’ll work closely with our Director of Product for Measurement and partner with leadership and team leads to translate company direction into clear engineering priorities, making trade-offs explicit and giving teams the context to execute while keeping them informed and protecting their focus. Who This Is An Opportunity For: This is an opportunity for someone who wants to: • Own and scale a growing, multi-team engineering organization. • Stay close to the technology and the customer problems we’re solving. • Work with high autonomy, little bureaucracy, and a strong sense of ownership. • Genuinely loves managing people. Someone who is naturally good at developing leaders, building strong teams, and getting the best out of people. What You’ll Do: Coordinate, Prioritize, and Unblock • Stay closely connected to leadership, the Director of Product, and team leads, bringing together technical and business context to align priorities across the domain and understand changing priorities. • Bring clarity to evolving or competing requests, using your judgment to define practical next steps and help teams move forward as details take shape. • Distinguish exploratory ideas from agreed changes in direction. When priorities shift, clarify what continues, what changes, and what stops, making delivery implications visible while protecting the teams’ focus. • Resolve cross-team dependencies, bring the right people together, and unblock decisions that team leads cannot advance alone. Follow decisions through to completion. • Coordinate through direct conversations and lightweight communication, giving teams the context they need without adding unnecessary processes or becoming a bottleneck. • Drive Clarity & Execution: Turn unclear requests into clear next steps; Keep teams aligned when priorities change; Unblock decisions and dependencies teams can’t resolve on their own; Keep communication simple, direct, and efficient. Lead an Independent, Accountable Organization • Set clear expectations for delivery, technical quality, people management, and ownership. • Own hiring, organizational structure, and performance management. Address people and performance issues directly and respectfully. • Give the team leads the authority to make decisions independently and hold them accountable for outcomes. • Provide candid feedback and practical support while expecting people to take ownership over their continued growth. • Build trust so that people raise concerns early, challenge assumptions, and act on problems beyond their assigned tasks. Apply Strategic Judgment • Shape engineering direction in partnership with the Director of Product and engineering leadership. • Balance near-term business priorities with long-term technical needs, including reliability, data correctness, infrastructure cost, and technical debt. • Understand the broader impact of decisions and make clear recommendations based on tradeoffs, costs, and delivery implications. • Move quickly when decisions are reversible, apply greater rigor when the stakes are higher, and adjust as new information becomes available. Stay Deep in the Technology • Know the systems your teams own and be deep into the technical details. • Jump into designs, code, debugging, or production issues when your involvement can help. • Ensure systems are reliable, accurate, scalable, and cost-effective. • Take ownership of critical technical issues through resolution. • Stay technically involved without taking ownership away from team leads. Partner Across Product and the Industry • Be the primary engineering counterpart to our Director of Product for Measurement, sharing accountability for customer outcomes. • Resolve disagreements between Product and Engineering through clear reasoning and explicit trade-offs. • Explain complex technical issues clearly to leadership and nontechnical stakeholders. • Represent Triple Whale in technical and strategic discussions with partners such as Meta, Google, and TikTok. Lead Advanced AI Adoption • Use AI extensively in your own work, including coding, technical investigation, analysis, and planning. • Build and improve AI-assisted workflows and agent-based automation that solve real problems for the teams. • Expect team leads to develop their own practical AI proficiency and apply it to their work. • Validate AI-generated output and maintain clear standards for security, privacy, and data quality. • Evaluate tools through hands-on use and demonstrated results. What You’ll Bring • 2-3 years of proven experience managing engineering teams and leads across multiple teams, with accountability for people, delivery, and production systems. • Strong engineering individual contributor background is a must with significant hands-on experience as an engineer. • Experience leading in a fast-growing startup, bringing clarity to evolving priorities and developing practical ways of working as the organization scales. • Strong coordination skills and the ability to manage frequent context switching without losing important details or leaving issues unresolved. • Sound judgment to balance competing input, set clear priorities, and help teams move forward confidently as details take shape. • Experience scaling engineering organizations, including hiring and developing strong leaders, building high-performing teams, and demonstrating strong judgment in identifying top performers and underperformance, with the ability to make clear, timely talent decisions when needed. • A strong hands-on software engineering background and current ability to read code, review architecture, and investigate complex production problems. • Significant experience working with big data and data engineering teams in very high-scale production environments. • A strong understanding of distributed systems, data pipelines, analytical workloads, and their operational trade-offs. • Deep attention to detail and the ability to learn unfamiliar tools, codebases, and domains independently. • Advanced, practical AI proficiency, including substantial use of AI coding tools, LLMs, and agent-based workflows. You can demonstrate your work, explain its limitations, and show how you validate results. • High emotional intelligence and genuine respect for people, paired with clear accountability. • Low ego and intellectual honesty. You seek expertise and change your view when the evidence changes. • Native-level English proficiency, written and spoken, sufficient to lead nuanced technical discussions, write clear proposals, and represent Triple Whale with global partners. • Strong in-office presence at our Jerusalem office, of at least three days per week. • Full availability in the evenings. Nice to Have • Experience in marketing measurement, attribution, adtech, ecommerce analytics, or related domains. • Familiarity with multi-touch attribution, marketing mix modeling, incrementality, identity resolution, or event tracking. • Experience collaborating directly with big companies like Meta, Google, or TikTok on integrations, measurement, or data partnerships. • Experience with streaming data systems and analytical databases such as ClickHouse, BigQuery, Snowflake, or similar technologies. • Experience applying AI to data-intensive products or engineering operations beyond individual productivity. Join Us in Making Waves If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment. Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Referred? Got here thanks to a friend? Splash some gratitude their way! They'll need to submit your application through our referral system to make it official.

Description We're looking for a Senior Team Lead to own two things at the core of our product: the data-pipeline infrastructure that ingests and processes web data at scale, and the agentic AI system that generates Extraction Templates - the mappings that turn any webpage into structured data. You'll lead a team of 6 engineers spanning Backend, Full-Stack, and AI - coaching, managing, and hiring across both disciplines while staying hands-on, not just directing from a distance. Exceptional internal leadership and people skills are a must: clear communication and real ownership of team health, not just delivery. Responsibilities Data Pipelines at Scale • Own end-to-end architecture and delivery of Nimble's data-pipeline infrastructure - from system design to large-scale data flow, storage, and operations - already running in production for Fortune 500 customers. • Continuously analyze and improve the efficiency, scalability, cost, and stability of pipeline components as volume grows by an order of magnitude or more. • Design and implement supporting interfaces (Skills, Plugins, MCP, UI, API) and platform engineering where needed to deliver pipeline capabilities end-to-end. • Partner closely with the Product and Delivery team to define and prioritize the right pipeline solutions. Agentic Generation of Extraction Templates • Bring deep, hands-on expertise in LLMs, agentic architectures, evaluation/benchmarking, and modern AI/LLMOps practices; make build-vs-buy and architecture calls with authority. • Grow the team's AI capability day to day: actively promote and mentor AI-native development practices. • Continuously improve the Extraction Template generation capability's coverage, accuracy, and scale Requirements • 3+ years as a Team Lead across at least two workplaces, with strong leadership and people skills - clear communication and real ownership of team health. Comfortable operating independently without a dedicated PM, including direct customer communication. • 6+ years as a Back-End engineer with high-scale, production data-pipeline experience - a data-engineering background is not required. Python is the primary language. able to architect solutions from scratch and deliver on time. • Startup experience is a must; enterprise experience is a plus. • Hands-on AI engineering experience: LLMs, agentic architectures, evaluation/benchmarking, prompt/context engineering. • Genuine day-to-day AI usage; comfortable owning build-vs-buy/architecture calls; shipping an AI product in production is a must. About us Nimble is the real-time web search platform built for enterprise accuracy, completeness, and trust. We run Web Search Agents that actively navigate live websites using real browsers and reasoning, turning the public web into governed, decision-grade data for AI systems and high-stakes business use. Unlike index-based “AI search” tools or brittle legacy scraping, Nimble makes the live web queryable on demand, delivering structured outputs that teams can verify and rely on. Our platform powers use cases where correctness matters: financial due diligence, real-time pricing and promotions, market intelligence, and AI systems that depend on fresh, complete data. Trusted by leading enterprises like Home Depot, Uber, and Coca-Cola and backed by top-tier investors, Nimble sits at the intersection of AI, automation, and real-time web intelligence. As demand accelerates across AI, LLMs, and data-driven decisioning, we’re scaling quickly and looking for high-energy, driven teammates who thrive in fast-moving environments and want to help define a new category. Why join Nimble? • Work on a deeply technical platform powering real-time AI and enterprise decisions • Help define the future of Web Search Agents and live web intelligence • Build alongside a sharp, mission-driven team that moves fast, ships often, and takes ownership

Who are we? Applied AI for liquidity. Corporate finance teams still manage cash by hand — stitching together spreadsheets, bank portals and ERP data across Treasury, AR and AP. Most treasury tools stop at visibility: a dashboard someone still has to read, interpret and act on. Nilus goes further. We're building an agentic workforce for treasury — AI agents that reconcile cash, forecast liquidity and automate finance ops across every bank and ERP, in one connected system for Treasury, AR and AP. We're a Series A company backed by Bessemer Venture Partners, Felicis, Perpetual Growth and Better Tomorrow Ventures, led by a team of ex-fintech pros transforming the finance function. The role You will join Nilus as Head of Engineering and a member of the Nilus leadership forum. Nilus is an AI-powered Treasury Management System for mid-market and enterprise finance teams, connecting banks, ERPs and payment rails into one platform for cash visibility, forecasting, payments, debt, reconciliation and close, with agentic AI running work treasury teams do by hand today. You will own how Nilus builds and ships: delivery predictability, production quality, and the engineering organization that produces both. The role is both hands-on and managerial. As Nilus 2.0 moves from build to scale, you will run R&D execution end to end, so product, AI architecture and customer delivery can each move fast and in sync. What you'll own • Delivery: run the R&D operating cadence across domain teams (planning, estimation, release trains) and make commitments the business can rely on. • Quality and reliability: own uptime, data integrity and incident response for systems that move and report real money. Set SLOs, testing standards and on-call. • Team: hire, lead and grow engineers and engineering managers, with team structures mapped to product domains and clear ownership. • Engineering practice: raise the bar on code review, CI/CD, observability and security, and make AI-assisted development the default way the team works. • Hands-on leadership: review architecture and code, and work with the team through production issues. • Partnership: work with Product on scope and trade-offs, with AI architecture on platform direction, and with customer teams on integrations and enterprise escalations. • Security and compliance: own engineering's part in SOC 2, bank and enterprise security reviews. What we're looking for • 10+ years in software engineering, including 4+ years leading managers and multi-team orgs. • Proven record shipping B2B SaaS to enterprise customers on predictable timelines. • Hands-on: able to review architecture. • Experience with systems where data correctness is critical, such as fintech, payments, banking or accounting. • Strong with modern cloud stacks (AWS, Python/TypeScript, Postgres, event-driven pipelines). • Daily user of AI coding tools, with experience making a whole team faster with them. • Hands-on AI development experience within the last year, including shipping LLM-based or agentic features to production, including evaluation, guardrails and cost/latency trade-offs. • Understanding of AI system building blocks: model APIs, RAG, tool use, and observability for AI workflows. • Experience owning cloud infrastructure at scale: AWS, infrastructure-as-code, containers and Kubernetes. • Strong background in reliability and data infrastructure: monitoring, SLOs, incident management, and batch and streaming pipelines. • Nice to have: treasury, ERP or bank integrations (NetSuite, SAP, bank APIs, ISO 20022). Leadership qualities • Builds trust fast and leads by example, with high personal ownership of outcomes. • Clear, direct communicator who can explain technical trade-offs to business and leadership peers. • Develops people: coaches msanagers and engineers, gives honest feedback, and grows future leaders. • Sets a high bar and holds teams accountable, while keeping a healthy, collaborative culture. • Makes sound decisions under ambiguity and pressure, and knows when to move fast and when to slow down. • Strong partner across Product, Customers and leadership; resolves conflict constructively. • Thrives in a fast-paced startup and is comfortable with change.

ControlUp is a leader in Digital Employee Experience (DEX), evolving IT operations with agentic AI to deliver Autonomous Endpoint Management (AEM) and a digital workspace that runs itself. Our platform transforms millions of real-time signals into intelligent action, bridging the gap between deep visibility and automated remediation. We turn "IT headaches" and employee frustration into self-healing operations, allowing organizations to move beyond reactive troubleshooting toward a future where technology works seamlessly in the background. We’re here to ensure the workday runs without disruptions. No tool sprawl, no wasted time, and no friction. Just technology that works for people, not against them, so they can stay focused on what they do best. One platform. One powerful shift in how work flows. The Role: We’re looking for a hands-on, delivery-focused Engineering Manager to build and lead a high-performing team of backend engineers working on large-scale, real-time data systems. The team is responsible for the company's core real-time data platform, which ingests telemetry from thousands of enterprise customers and millions of devices. Using technologies such as Apache Kafka, Apache Flink, ClickHouse, and other modern data technologies, the platform processes massive volumes of data in real time and transforms it into reliable, scalable, and queryable information that powers multiple products across the company. As a Manager, you’ll combine technical leadership with people management-guiding the team’s architecture, driving execution, mentoring engineers, and fostering engineering excellence while remaining hands-on when needed. You’ll join a growing R&D organization with exceptional engineering talent, high technical standards, and strong leadership support. This is an opportunity to influence the direction of a critical platform, build scalable infrastructure, and work with modern cloud-native and big data technologies in a fast-paced, collaborative environment. What You’ll Own: • Team Leadership: guide and mentor a team of backend engineers, driving accountability, ownership, and technical growth, while managing delivery timelines with predictability and transparency • Planning & Execution: Own the planning process end-to-end - scoping, design, dependency management, risk identification, and sprint execution • Technical Excellence: own high-level and detailed designs, ensure thorough design and PR reviews, and enforce coding, testing, and observability best practices • Cross-Team Collaboration: align with PMs, infra, and other teams on requirements, UI standards, and integration contracts to build scalable platform features • Quality & Ownership: ensure every delivery is tested, documented, and production-ready, including E2E testing and rollout readiness What You’ll Bring: • 3+ Years experience as a team lead or senior engineer with leadership responsibilities • Hands-on experience with data stream processing technologies (e.g., Spark, Flink, Kafka Streams), analytical NoSQL data stores, and messaging systems such as Kafka or RabbitMQ • 6+ years experience as a backend developer working on high scale real time data pipelines with modern streaming technologies • Proven experience in building systems involving data pipelines, APIs, and web applications • Experience with agile methodologies and hands-on involvement in planning and delivery • Comfortable working in a fast-paced, multi-product R&D organization • Experience working with Java • Experience in modeling of analytical databases- big advantage • Experience building shared infrastructure or platform-level components - an advantage Why You’ll Love It Here: We know every job description says "fast-paced" and "collaborative." Here’s what that actually looks like for us: • Global, Not Isolated: You’ll work with a diverse team spanning the US, EMEA, and Israel. We’re known for our vibrant social culture, and once a year, the entire global company comes together for a major offsite to reconnect in person. • Meaningful Impact: Make a real impact from day one, working with cutting-edge technology in a fast-paced, global environment. • Collaborative & Growth-Driven: Join a collaborative, empowering culture where learning and professional growth are encouraged. • True Flexibility: We offer a hybrid model. We care about the output of your expertise, not the hours you spend in a specific chair. Ready to join? Apply now and help us shape the future of IT and employee experience.

About Matia Matia is at the forefront of the DataOps revolution, building a unified platform that streamlines data management from end-to-end. We empower data teams with seamless ETL, reverse ETL, comprehensive observability, and intuitive data cataloging, enabling faster, smarter decisions with significantly less tool sprawl. Backed by leading investors and trusted by data teams at companies like Ramp, Honeybook, and Lemonade, we're building the future of data confidence. Matia was named one of the Top 50 Most Promising Startups in Israel for 2026, and one of 11 of Tomorrow's Growth Companies by Qumra Capital. Join us in shaping an innovative product and a high-impact engineering culture. The Opportunity We are seeking an experienced and highly driven Director of Engineering to lead and scale our R&D team. This is a highly hands-on, deeply technical leadership role. You will be expected to actively contribute to codebases, lead by technical example, and ensure the high-quality delivery and scalability of our unified DataOps platform. This pivotal role requires a leader who can both deeply understand and solve complex technical challenges with code, while also inspiring and guiding a team to build innovative solutions. Reporting directly to the CTO, you will play a critical part in shaping our engineering culture, driving technical excellence, and fostering a collaborative environment that aligns closely with our product vision and business goals. What You'll Do • Provide Technical Leadership & Guidance: Offer deep technical leadership, actively participating in coding, architectural design, and complex problem-solving to ensure high standards of code quality, scalability, and system reliability. • Lead & Grow Engineering Teams: Lead, mentor, and grow Matia’s R&D engineering team, fostering a culture of technical excellence, hands-on problem-solving, and continuous improvement. • Drive Ownership & Accountability: Instill strong ownership, accountability, and a builder mindset within the engineering organization, empowering teams to execute with velocity and autonomy. • Solve Complex Challenges: Troubleshoot and resolve complex technical and organizational challenges to ensure smooth operations and delivery. • Collaborate Cross-Functionally: Collaborate closely with Product and other cross-functional teams to translate business requirements into robust technical solutions and align engineering efforts with company objectives. • Optimize Processes: Optimize engineering processes, methodologies, and tools to support rapid growth and evolving business needs. • Reduce Leadership Load: Strategically contribute to reducing the technical and operational load on current leadership, taking on key initiatives and areas of ownership. What We're Looking For We are seeking a true builder and active coder who can lead by technical example and significantly contribute to our engineering culture and output. We value a technical leader with an entrepreneurial spirit. Must-Haves: • Experience: 7+ years in software development, with at least 3-5 years in an engineering leadership role (e.g., Director, Senior Manager, or Group Lead managing a team). • Hands-on Technical Expertise: Proven exceptional proficiency in core technologies like TypeScript, Node.js, React, Python and deep understanding of high-performance SQL/NoSQL database design and K8S. • Experience working with message queue technologies (e.g., Kafka, SQS, RabbitMQ) to build scalable and reliable data pipelines. • Startup Scaling Experience: Proven experience having scaled or built R&D teams in startup environments. • Adaptability & Accountability: Comfortable with ambiguity, quick execution, and high accountability in both leadership and coding capacities. • Strong Ownership & Leadership: Demonstrates strong ownership and leadership without needing external structure, both in managing teams and driving technical solutions through code. • Partner Mindset: An open communicator who actively gives and receives feedback, fostering a collaborative environment. Nice-to-Haves: • Data Platform/Tools Experience: Previous experience building Data platforms or tools (e.g., ETL, Reverse ETL, Catalog, Observability). • Cloud Mastery (AWS): Mastery of cloud platforms, especially AWS, including extensive experience architecting solutions using a broad range of AWS services. • Soft Skills: Demonstrated humility and a strong hunger to build, not just to manage.

We offer the industry’s only platform that seamlessly integrates customer identity and anti-fraud solutions, including identity management, identity verification, and fraud prevention. Our solutions serve industries with large consumer-facing businesses, such as banking, financial services, insurance, fintech, gaming, e-commerce/retail, telecommunications/media, and utilities. About the Group: The Identity Verification group delivers cutting-edge, cross-platform SaaS solutions that help businesses seamlessly verify their users. These solutions leverage advanced AI, machine learning, and computer vision models to enable secure and reliable document-based identity verification. About the Role : You’ll lead a talented team of engineers working across multiple technology stacks, driving innovative solutions that shape the future of digital identity and customer trust. What You’ll Do : • Lead a talented team of engineers, mentor and grow them. • Drive the design, architecture, and delivery of complex SaaS features — across backend, web, and mobile. • Collaborate with Product, UX, and Data Science to deliver impact. • Oversee production systems in high-scale, mission-critical environments. • Champion best practices and foster a “can-do” engineering culture. What You’ll Need : • 5+ years as a software engineer, 3+ years leading teams. • Hands-on experience with modern web stacks (React, Node.js, Java, .NET Core, or Scala). • Strong understanding of cloud platforms (AWS / GCP / Azure). • Proven record of leading projects end-to-end in a fast-moving environment. • A passion for building systems that scale, perform, and make a difference. • (Bonus) Background in cybersecurity, AI, or computer vision. If you’re passionate about building scalable systems that protect millions of users — and want to work with top engineers on cutting-edge security tech — this is your place. #LI-AM1 #LI-Hybrid

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our ADAS Team Our ADAS team is bringing Wayve’s end-to-end AI driving to production-grade advanced driver assistance, working directly with our OEM partners. Recent partnership deals mean we’re now delivering ADAS into production programs, and it’s one of Wayve’s top priorities. The team is scaling quickly, and the next 18 months will be focused on getting it right for the first SOP. This is a chance to sit at the heart of the work that drives Wayve’s upcoming business. 🧠 Your day-to-day • Splitting your time roughly 60% management and 40% hands-on, leading a team of around seven ML engineers, made up of new hires and an existing sub-team • Acting as tech lead across multiple workstreams, setting the vision for how problems get solved, in what order, and with which dependencies • Reviewing and approving delivery plans for the tasks you own • Partnering with TPMs on planning and execution, and with Product to help shape priorities • Coaching and developing the ML engineers on your team, supporting their growth as the team scales 🧩 What you’ll be working on: • Taking our end-to-end AI driving approach into ADAS for a specific OEM production programme • Bringing ML models from proof of concept through to production on embedded automotive hardware • Optimising runtime and inference so the right model runs well on constrained hardware, rather than defaulting to the biggest one • Building and scaling a new team during a high-priority growth phase, with plenty of room to shape how it works • Working across system boundaries with software, embedded and product teams to deliver a coherent product 👤 You should apply if: • Expert background in developing ML, specifically computer vision • You are/have been a people manager and enjoy developing engineers • You’ve worked across systems with software developers and product teams, particularly on embedded software • You have hands-on experience with embedded runtime and inference optimisation, and make pragmatic trade-offs on model size and performance • You communicate clearly and thoughtfully with colleagues across sites and cultures • You stay steady and keep your team moving when requirements are unclear or change often 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚗 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻 — Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 📋 The Interview Process: ✏️ Recruiter: please update this section for the specific role before publishing. Our process is clear and respectful of your time: • Initial call / recruiter screen (30 mins) • Competency Interview (Technical Leadership & System Design; 2 hours) • Deep Dive (On-site visit in Herzilya; 1 hour) • Final interview: mission & values alignment (1 hour) We’ll always explain the format and work around your availability. What’s in it for you (Location dependent): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Description At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone. We are looking for an Engineering Director to join our engineering leadership team, reporting directly to the VP of Engineering. In this leadership role, you will own & manage a multi-disciplinary Engineering group spanning AIgo, full-stack, AIOps, QA, and data - accountable for delivery, people, and business outcomes. You will work closely with a Principal Product Manager who sets direction, and directly manage a Product Owner embedded in your team. Here’s what you’ll be doing: • Own your Engineering group delivery end-to-end - planning, prioritization, dependencies, risks, and outcomes. • Drive accountability: commitments are kept, blockers surfaced early, quality is non-negotiable. • Directly manage all engineers and the Product Owner in your squad, supported by functional guilds. • Run 1:1s, give meaningful feedback, support growth, and build a high-accountability team culture. • Provide technical guidance in close partnership with Principal Architects and senior engineers. • Stay engaged enough to earn trust, spot risk early, and make informed trade-off calls. • Connect your squad's work to UVeye's business outcomes. Always ask why it matters before deciding what to build. • Participate actively in leadership discussions on roadmap, resourcing, and strategy. Requirements • 7+ years of engineering experience, at least 4 of them in a managerial role, including managing managers. • Proven track record leading multi-disciplinary teams in a fast-moving, product-led environment. • Strong foundations across distributed systems, data pipelines, APIs, and production software. • B.Sc. in Computer Science, Data Engineering, or equivalent. Who You Are • A true people leader - you have managed engineers directly and care deeply about their growth. • Multi-disciplinary by nature - credible across disciplines without needing to be an expert in all. • Technically curious - you follow the craft, earn engineer respect, and stay sharp. • Business-grounded - you connect engineering decisions to customer outcomes, not just technical elegance. • A clear communicator - you distill complexity into direction for your team and credible updates for leadership. Why UVeye: • Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. • Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. • Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships. Check out our Life at UVeye page to learn more about the employee experience. UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Source Code Integration enables Product teams at Datadog to develop features that leverage our customers’ source code. This brings the platform closer to developers, as it helps them relate their telemetry to code to run automated investigations, debug their services with stack traces and profiles, scan their code for security issues, or make proactive fixes, among others. The team owns all the platform services, infrastructure and integrations required to access and synchronize our customer repositories in a secure, reliable and efficient manner. We are looking for a hands-on technical leader to drive the growth of our platform, as Datadog shifts left and becomes more developer-friendly and AI-ready. In this role you will lead the growth of our platform to support an increasing number of high profile features and teams, and work with a team of engineers of varied experience levels to shape our roadmap and deliver impactful solutions at scale. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: • Lead and cultivate a team of engineers of diverse experience levels, including performance management and career development • Lead technical and strategical discussions to better understand the challenges and opportunities faced by our team and our stakeholders • Own and drive the relationships with product teams and major stakeholders, balancing competing requests with long term investments, and prioritizing impact across the whole platform • Run a lightweight process to pace and track what we work on. Support the progressive delivery of high quality work through demos and frequent iteration • Stay in touch with your team’s systems, and roll up your sleeves when needed to unblock your team by writing code or troubleshooting issues • Support both internal and external customers resolve their issues, and find systematic solutions that elevate our platform and integration experience What we’re looking for: • A good collaborator, an enabler, a natural leader that puts people first • A backend engineer at heart, with experience building robust systems composed of multiple services, data streams and stores operating at scale • Significant experience with major backend technologies (e.g. Go, Python, or Java, PostgreSQL, Kafka), event driven architecture and or distributed systems • Experience running platform services, comfortable making tradeoffs and balancing short term impact with long term sustainability. Proven ability to work closely with product and internal teams to deliver solutions at scale • Passion to work in a fast-paced, high-growth environment providing leadership and direction for a highly technical team • Positivity and proactivity towards AI. Experience using agentic tools for development and analysis Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: • High income earning opportunities based on individual performance • New hire stock equity (RSUs) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Sales training in MEDDIC and Command of the Message • Intradepartmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) • Access to Inclusion Talks, our Internal panel discussions • Free, global Spring Health benefits for employees and dependents age 6+ • Competitive global benefits • Giving programs Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Onsite About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Husky is what we call the distributed, petabyte-scale columnar event store at the heart of our Event Platform, which powers dozens of Datadog’s most popular products – Logs, RUM, APM, Cloud Network Monitoring, Netflow, and many more. Husky was built from the ground up at Datadog to store and query massive volumes of event data at low cost, with data fully queryable within seconds of arrival. As an Engineering Manager on Husky, you will lead one of a few closely collaborating teams that work directly on Husky’s internals. We own the full lifecycle of events stored by our Event Platform – whether it’s managing the ingestion of over 100 million events per second exactly-once, optimizing the persistence layer with lightning-fast compaction, tweaking our columnar format, timely deletion across hundreds of thousands of customer tables, or building the metadata service that enables hundreds of thousands of queries per second – you will be responsible for the growth and success of a team constantly meeting new scalability requirements driven by Datadog’s growing customer base and suite of products. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: • Manage a team of software engineers ranging from new grads to senior engineers, focusing on career development, inclusivity, and high impact • Be a technical leader of the team; while the role may not involve frequent hands on coding, you’ll be reviewing architecture decisions, RFCs, and pull requests and ensuring what the team ships is high quality • Partner with product teams to evaluate use cases, ensure smooth implementation, and prioritize new platform capabilities. • Share on-call responsibilities with the rest of the team and ensure a culture of operational excellence • Scale a petabyte-scale database to an exabyte-scale one Who You Are: • A software engineer at heart with previous experience leading software engineering teams and a track record of delivering high-quality software products, preferably with some hands on experience with Java or Go and a background in distributed systems. • Experienced with being on-call, leading incident responses, writing post mortems, and driving remediation efforts • An excellent leader with strong interpersonal skills, with experience in career development and performance management. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: • New hire stock equity (RSUs) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Intradepartmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) • Access to Inclusion Talks, our Internal panel discussions • Free, global mental health benefits for employees and dependents age 6+ • Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

We’re looking for an Engineering Manager to lead our Sensitive Data Scanner (SDS) Telemetry team. The SDS group’s mission is to be the world’s easiest-to-use tool to discover, classify, manage, and report sensitive data risks across cloud, on-premise, and code environments. This team builds and scales the detection capabilities that scan all telemetry data flowing into Datadog — logs, APM spans, and RUM events — operating in streaming, at processing time, and at very large scale. You’ll lead a small, close-knit team based in Paris, with the opportunity to shape how the team grows as SDS Telemetry’s scope expands. It’s a chance to combine hands-on technical leadership with direct customer and product impact in the security and observability space. At Datadog, we place value in our office culture — the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: • Lead and grow a team of engineers building real-time sensitive data detection across Datadog’s Logs, APM, and RUM telemetry pipelines • Partner closely with the Logs, APM, and RUM teams, plus Datadog’s Trust & Safety team, to align on roadmap and integration priorities • Shape product direction by working closely with Product, grounding decisions in customer needs and business impact • Stay hands-on: contribute to design decisions and participate in the team’s on-call rotation • Recruit, mentor, and develop engineers as the team grows beyond its initial size • Help build a strong engineering culture as part of Datadog’s broader Sensitive Data Scanner group Who You Are: • You have experience building and shipping revenue-generating products, with strong product acumen and a customer-first mindset • You have hands-on experience with Go and/or Java, and a track record building distributed, streaming systems at scale • You have experience managing engineers — or are ready to step into your first formal management role — and know how to set goals, give feedback, and help a team grow • You measure success through customer and business outcomes, not just output shipped • You’re comfortable weighing tradeoffs between speed and correctness, ideally from experience in a fast-moving environment Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: • New hire stock equity (RSUs) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Intradepartmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) • Access to Inclusion Talks, our internal panel discussions • Free, global mental health benefits for employees and dependents age 6+ • Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

We help millions of people create homes they love In the beginning, in 2016, we were just two best friends working on a simple idea: how to make it super easy to turn your favorite smartphone photos into awesome wall art. Today, we have multiple product lines with millions of customers, including Mixtiles, Mixtiles Art, Easyplant, Around, and Daydream. And we're shipping new products every year. We love what we do, and we love people who love what they do. If you're that kind of person, read on. Small team = a lot of impact We’re ~100 people, with wildly diverse skill sets, serving millions of customers. Each of us drives a lot of impact. Your work will matter Products people love Working on products you & your family personally use creates a feeling of connection, fun, and spreads good karma Our secret formula = make it easy to use It’s how we re-invented the picture frame, and then the houseplant. It’s how we got to millions of customers. It’s pure design, and people love it Solve hard, real world problems Every day, we handle extreme challenges in user experience, manufacturing and scale for which we use tech like AI, AR & robotics A real business, built to last We believe great products have great unit economics. That’s why Mixtiles is a high growth company that’s also profitable 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. Oasis is our newest business - and one of our fastest-growing. In just over a year, it has grown into a ~$40M business, proving that people are ready for a better lighting experience. Now we're building what comes next. The Role Oasis has product-market fit. Now we're looking for the engineering leader who can help take it to millions of homes. You'll lead a multidisciplinary engineering team responsible for the entire product - from firmware and hardware to cloud, mobile, and software. Your role is to build an engineering organization that moves fast, sets a high technical bar, and delivers a product that feels simple, magical, and reliable. You'll work closely with the GM and the leadership team to shape both the product and the technology behind it. You'll help decide what we build, how we build it, and how we scale it. This is an opportunity to lead engineering at the intersection of hardware, software, AI, and consumer experience. What You'll Do • Lead and grow a high-performing multidisciplinary engineering team • Own the technical direction of Oasis as it scales from a successful product to a global category leader • Bring together firmware, hardware, cloud, mobile, and software into one seamless customer experience • Build a culture of speed, ownership, technical excellence, and collaboration • Partner closely with Product, Design, and Operations to shape both the roadmap and execution • Make thoughtful technical decisions that balance customer experience, scalability, quality, and long-term maintainability Who You Are • You've led engineering teams building complex consumer products • You're comfortable leading across multiple engineering disciplines—not just software • You know how to build strong teams while staying close enough to the technology to make the right decisions • You combine technical depth with excellent product judgment • You care deeply about customer experience and understand that great technology should feel invisible • You're energized by taking a product from strong product-market fit to global scale Bonus Points • Experience with IoT or connected consumer devices • Background in consumer (B2C) products or startups • Experience leading products that combine hardware and software • Entrepreneurial experience or having helped scale an early-stage business

Description We are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. The Role This is not just a managerial role- it’s a chance to lead a high-impact team building core products at scale. As Engineering Manager, you’ll be a technical leader, a team builder, and a strategic partner. You’ll guide your team to deliver performance, scalable, and secure software solutions, while shaping culture, structure, and product direction. From technical design to org design, you’ll have a direct influence on how we work and what we build. You’ll work closely with Product, Architecture, and cross-functional teams to turn ambitious ideas into clean, production-ready code - while creating an environment where engineers grow, thrive, and do their best work. Who You Are • A collaborative leader who thrives on enabling others to succeed • Able to balance trust and autonomy with clear technical direction • Strategic, but not afraid to roll up your sleeves when needed • Calm, clear, and confident in a fast-paced, high-growth environment What You’ll Actually Be Doing • Be both a highly technical contributor and an effective people leader • Hold your own in technical discussion, be a subject matter expert in a product domain, and have strategic influence Lead team(s) that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area • Work with your team and cross functional partners to define and influence strategy • Drive roadmap creation and execution • Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level • Mentor, coach, and grow your direct reports - championing career development and engagement • Own recruitment, onboarding, and performance management for your team • Influence engineering-wide culture, org design, and cross-functional collaboration Requirements What You Bring to the Table • 3+ years of experience managing engineering teams • 5+ years of hands-on software engineering experience, including API design and distributed systems • Proven track record building and scaling high-volume, web-based solutions • Strong experience with cloud-native infrastructure, containerization (e.g., Docker, Kubernetes), and CI/CD pipelines • Skilled at building consensus across departments and aligning engineering with business goals • Experience managing full project lifecycles and technical teams, including performance management • Excellent communication in English (written and verbal) Why You’ll Love Working Here • Flexible hybrid model: 3 days a week in the office – A must • ₪1,000 net monthly wellness benefit – from therapy to Pilates to your kid’s art class • Full Keren Hishtalmut, private health & dental insurance • Donation matching, volunteering days, team outings, and mentorship programs • A mission-driven culture that values ownership, trust, and meaningful impact Next Step Hit Apply! Privacy Notice: Cross River https://www.crossriver.com/legal/privacy-policy-crt

The AV Sensing group is responsible for the critical and challenging task of object detection and scene comprehension using LiDAR and Radar sensors. Our team develops scalable infrastructure and software solutions for processing, validating, and working with complex 3D sensor data. What will your job look like: • Lead and mentor a team of ~5 Software and Algorithm Developers, while staying closely involved in technical decisions, system design, and architecture. • Design and build scalable data infrastructure and software solutions that support large-scale data workflows for Algorithm and Deep Learning teams. • Develop Python-based libraries, data workflows, validation and monitoring systems for large-scale sensor data. • Work closely with Algorithm and Deep Learning teams to understand their needs and translate them into scalable software and data solutions. • Build and maintain development infrastructure, including databases, dashboards, CI/CD pipelines, and automated documentation. • Contribute to technical solutions involving 3D data, calibration, coordinate transformations, and geometric concepts. All you need is: • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field. • 2+ years of experience leading, mentoring, and developing engineering teams. • Strong foundation in algorithms, data structures, and algorithmic complexity. • 5+ years of hands-on Software / Backend engineering experience, with strong Python skills and experience building large-scale production systems. • Strong experience designing and building scalable data-intensive systems, including distributed architectures, databases, cloud-based services, and microservices. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is a global leader in Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids. Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world. About the team: Mobileye is looking for a skilled and motivated Embedded SW Group manager for the Platform OS Department to manage the OS integration, automation & qualification activities. The Platform OS department of Mobileye is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. You’ll lead a fast-paced, hands-on and dynamic group of integration and automation engineers, contributing to the overall qualification and integration effort of Mobileye while collaborating with other teams across the organization. What will your job look like: • Lead a group of 12-15 engineers and team leads split into 2-3 teams of SW Integration, Automation and Qualification. • Manage the daily integration of the aggregated delivery of 5-6 OS teams upstream into Mobileye’s SW stack. • Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts. • Managing a daily integration forum to track nightly tests reports, triaging new issues and assigning them to development teams. • System level understanding of the OS features and tracking the test coverage developed by the OS developers. • Lead the development of the qualification system level tests to verify the quality of the integrated delivery. • Tracking the utilization, health, and allocation of the HW resources in the farm and balancing test coverage to HW availability. • Acting as a PoC for all OS integration and qualification issues. Both within the OS teams and externally. • Tracking bug escapes and their mitigation in the OS test coverage. All you need is: • B.Sc. or higher in Computer Engineering or Computer Science. • Prior experience in leadership of a tech lead role managing team leaders. • Proved experience in managing Integration of Embedded SW at high scale. • Experience in Continuous Integration & automation methodologies and tools. • Experience with unit and integration test environments and techniques is a big advantage. • Sharp analytical skills with strong C and Python programming background. • Advantage for previous experience with the embedded Linux Kernel development.

Mobileye is a global leader in Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids. Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world. About the team: Mobileye is looking for a skilled and motivated Embedded SW Group manager for the Platform OS Department to manage the OS integration, automation & qualification activities. The Platform OS department of Mobileye is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. You’ll lead a fast-paced, hands-on and dynamic group of integration and automation engineers, contributing to the overall qualification and integration effort of Mobileye while collaborating with other teams across the organization. What will your job look like: • Lead a group of 12-15 engineers and team leads split into 2-3 teams of SW Integration, Automation and Qualification. • Manage the daily integration of the aggregated delivery of 5-6 OS teams upstream into Mobileye’s SW stack. • Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts. • Managing a daily integration forum to track nightly tests reports, triaging new issues and assigning them to development teams. • System level understanding of the OS features and tracking the test coverage developed by the OS developers. • Lead the development of the qualification system level tests to verify the quality of the integrated delivery. • Tracking the utilization, health, and allocation of the HW resources in the farm and balancing test coverage to HW availability. • Acting as a PoC for all OS integration and qualification issues. Both within the OS teams and externally. • Tracking bug escapes and their mitigation in the OS test coverage. All you need is: • B.Sc. or higher in Computer Engineering or Computer Science. • Prior experience in leadership of a tech lead role managing team leaders. • Proved experience in managing Integration of Embedded SW at high scale. • Experience in Continuous Integration & automation methodologies and tools. • Experience with unit and integration test environments and techniques is a big advantage. • Sharp analytical skills with strong C and Python programming background. • Advantage for previous experience with the embedded Linux Kernel development.