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

Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have Oversee regional performance targets, including billable utilisation, team growth, and hiring, while championing delivery excellence and customer success across the FDE portfolio. Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. Synthesise field insights from your team's engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. What we look for Key requirements 4+ years leading high-performing technical delivery teams, with a proven track record building excellence-driven cultures 5+ years as a technical solutions architect or data/AI engineer, providing coaching credibility Familiarity with Databricks, Apache Spark, MLflow, Delta Lake, or the modern data and AI ecosystem Consulting / professional services background with a hands-on technical foundation Proven technical depth to personally build with AI, coach teams with best practices, drive organisation-wide adoption Demonstrated success leading large-scale data platform migrations and AI/ML programs in enterprise environments Strong understanding of technical project delivery, including scope, timelines, and SOW management Strong stakeholder management skills navigating complex, high-stakes customer environments Ability to travel to customer sites approximately 20% of the time Nice-to-Haves Prior experience at a hyperscaler (Google, AWS, Azure) or a top data/AI company An in-house/industry stint alongside vendor-side delivery experience About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

This role combines technical and managerial leadership, ownership of architecture and development processes, team growth, and collaboration with business and technology stakeholders. You will have the opportunity to take full ownership of the mobile domain and directly impact products with significant business value. Join a leading technology company that develops digital platforms and mobile applications for some of Israel's largest customer loyalty programs. As a React Native Team Lead, you will lead the mobile domain and own several core production applications that serve a large user base and play a key role in the company's business. This role combines technical and managerial leadership, ownership of architecture and development processes, team growth, and collaboration with business and technology stakeholders. You will have the opportunity to take full ownership of the mobile domain and directly impact products with significant business value. What You'll Do: Lead and manage a team of React Native developers Design and develop mobile applications for iOS and Android Drive architecture decisions, development standards, and code reviews Lead Agile/Scrum processes and ensure timely delivery Solve technical challenges and improve application performance Work with APIs, backend services, and third-party integrations Lead CI/CD and deployment automation processes Recruit, mentor, and develop team members Manage release processes and deployments across App Store and Google Play Requirements: 5+ years of React Native development experience 3+ years of experience leading or managing development teams Experience developing iOS and Android applications in Production environments Experience with Native development using Swift and/or Kotlin Strong JavaScript and TypeScript skills Experience working with REST APIs Experience with code reviews and development best practices Experience with Git and CI/CD processes Deep understanding of Mobile Application Architecture Experience managing release processes across development, testing, and production environments Experience publishing applications through App Store Connect and Google Play Console Familiarity with mobile review, approval, and rollback processes Experience with Firebase, Push Notifications, and Analytics

SciPlay is a leading developer and publisher of digital games on mobile and web platforms, providing highly entertaining free-to-play games that millions of people play every day for their authenticity, engagement and fun. SciPlay currently offers nine core games, including social casino games Jackpot Party Casino, Gold Fish Casino Slots, Hot Shot Casino and Quick Hit Slots, and casual games MONOPOLY Slots, Bingo Showdown, 88 Fortunes Slots, Backgammon Live and Solitaire Pet Adventure with offices all over the world! Position Summary Serve as the Head of Engineering for 88 Fortunes, leading the engineering organization responsible for the game’s Unity client and backend services. As a member of the 88 Fortunes studio leadership team, this role also contributes to the studio’s broader strategic direction and priorities. This role combines people leadership, technical direction, delivery ownership, and hands-on architectural judgment across the full product stack. Key Responsibilities : • Own the engineering strategy, execution, and technical roadmap for 88 Fortunes across client and backend development. • Lead, coach, and grow engineering managers and senior engineers, building a high-performing and accountable organization. • Create clear ownership, operating rhythms, engineering standards, and measurable goals across teams. • Partner closely with Product, Design, QA, Analytics, Live Operations, DevOps, and other stakeholders to translate business priorities into reliable delivery plans. • Drive predictable execution, release quality, technical risk management, and continuous improvement across the software development lifecycle. • Balance feature delivery with platform health, architecture evolution, scalability, security, observability, and reduction of technical debt. • Own hiring, workforce planning, succession planning, and development of engineering talent. • Establish and track engineering metrics covering delivery, quality, reliability, operational health, and team effectiveness. • Communicate technical direction, tradeoffs, risks, and progress clearly to senior leadership and non-technical stakeholders. Requirements: • Extensive software engineering experience, including significant leadership of multiple teams or an engineering organization. • Proven experience delivering complex, customer-facing products that include both client applications and backend services. • Strong technical depth in at least one side of the stack, with demonstrated ability to lead architecture and make sound decisions across both client and backend domains. • Experience leading Unity client development or closely related real-time, mobile, or game-client technologies. • Strong backend engineering experience with APIs, distributed systems, databases, cloud infrastructure, scalability, reliability, and production operations. • Experience hiring, coaching, and developing managers, technical leaders, and senior individual contributors. • Ability to combine strategic thinking with pragmatic execution and to make clear tradeoffs among scope, quality, speed, and technical sustainability. • Excellent written and verbal communication skills, including the ability to influence across functions and at executive level. Client Engineering Leadership (Unity): • Provide technical and organizational leadership for Unity-based client development. • Guide architecture and engineering practices for maintainable, modular, performant, and testable client systems. • Ensure strong practices for memory and performance optimization, asset management, build pipelines, release management, and platform compatibility. • Drive high-quality player experiences through close collaboration with product, design, art, QA, and backend teams. • Oversee client stability, crash reduction, diagnostics, telemetry, and production issue resolution. Backend Engineering Leadership: • Lead the design and operation of scalable, reliable, secure, and observable backend services and APIs. • Guide architecture for distributed systems, data flows, integrations, service ownership, and production operations. • Promote strong engineering practices in automated testing, CI/CD, monitoring, incident response, performance, and capacity planning. • Ensure effective collaboration between client and backend teams on API contracts, versioning, data consistency, feature rollout, and backward compatibility. • Our current backend is primarily PHP. Deep PHP expertise is preferred but not required; strong senior-level backend experience in comparable production environments is acceptable, with the ability and willingness to work effectively in a PHP ecosystem.

The Opportunity Join our "DevOps for Content" revolution, where we partner with global brands and agencies to transform their end-to-end creative workflows—from ideation through activation—to unlock the GenAI-powered Content Supply Chain. As a Manager, Forward Deployed AI Engineering, you will lead, mentor, and inspire a team of Forward Deployed AI Engineers (FDEs)—creative technologists who prototype, build, and launch GenAI-powered solutions and products directly with customers. Your mission is to cultivate top engineering talent, instill a culture of rapid innovation and delivery excellence, and ensure every engagement drives measurable business impact. This role requires strong, hands-on technical leadership, people mentorship, and the ability to scale GenAI adoption in enterprise environments. You'll partner closely with the Director, Forward Deployed AI Engineering, to build a world-class product engineering org with customer-facing DNA. If you thrive on growing talent, scaling engineering excellence, and translating latest AI research into real-world solutions, this is your stage. What You'll Do Team Leadership · Recruit, coach, and empower a high-performing team of Forward Deployed AI Engineers (and select Forward Deployed AI Architects). · Act as both mentor and peer-level engineer—reviewing code, shaping architectures, and guiding engineers on technical depth, delivery velocity, and customer impact. · Cultivate a culture of engineering excellence, experimentation, and AI tinkering, ensuring the team stays at the frontier of generative AI and enterprise delivery. · Develop future leaders by strengthening technical judgment, customer-facing confidence, and multi-functional influence. Customer Engagement & Technical Delivery · Sponsor and engage directly in strategic customer programs. Roll up your sleeves to build, prototype, and launch solutions and products with your engineers when customer concerns or critical achievements arise. · Ensure your teams apply Forward Deployed Engineering principles: embedded collaboration, rapid prototyping, iterative feedback, and production-grade handoffs. · Serve as the point of contact for technical and delivery challenges, balancing innovation with governance, reliability, and scale when addressing blocking issues. · Champion delivery excellence—every engagement must tie back to measurable value realization and customer adoption. Technical Leadership & Standards · Define and enforce engineering standards across pods, including CI/CD pipelines, reusable frameworks, architecture playbooks, and model governance practices. · Partner with Directors of Forward Deployed Engineering and Architecture to align technical approaches across the org and codify patterns into scalable, reusable assets. · Funnel field-proven innovations and standards into Adobe Firefly and GenStudio roadmaps—ensuring product strategy is shaped by customer reality. Thought Leadership & Cross-Team Enablement · Stay at the forefront of generative AI, creative automation, and enterprise integration—keeping your teams current and inspired. · Foster internal knowledge sharing—publishing playbooks, reusable modules, and lessons learned that accelerate the entire organization. · Represent your team in customer workshops, internal reviews, and external forums, showcasing the engineering craft and thought leadership of the FDE org. What You Bring · Technical Credibility – 8+ years of software engineering, AI/ML, or technical consulting experience, with recent hands-on development in full-stack, cloud, and GenAI applications. You can dive into code, architecture, or delivery sprints when needed. · People Leadership – More than 3 years in managing people or leading technical teams. Experienced in mentoring, coaching, and developing engineers and architects into highly capable technical and customer-facing talent. · GenAI Mastery – Direct experience with modern AI technologies, including LLMs (OpenAI, Anthropic, Meta Llama, Mistral), diffusion models (Firefly, Stable Diffusion, DALL·E), RAG pipelines, vector databases, and agent frameworks (LangChain, LlamaIndex, AutoGen). · Adobe Platform Fluency – Strong working knowledge of Adobe Firefly APIs, Creative Cloud SDKs, GenStudio for Performance Marketing, and enterprise integration patterns. · DevOps & Delivery Excellence – Expertise in cloud deployments (AWS, Azure), CI/CD, containerization (Docker, Kubernetes), and enterprise-grade delivery with governance, security, and monitoring. · Customer-Facing Leadership – Track record of engaging directly with enterprise customers, simplifying technical complexity, and earning trust as both an engineer and a strategic partner. · Culture Builder – Ability to cultivate a high-performance, customer-obsessed culture grounded in engineering excellence, continuous learning, and open collaboration. · Startup DNA – Thrives in fast-paced, ambiguous environments; relentless about finding faster, better, more innovative ways to deliver impact for customers and scale patterns across the org. · Flexibility & Presence – Adaptable and energized by balancing hands-on engineering with people leadership. Willingness to travel up to 30% to support customers and teams in person. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let's Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected]. AI Use Guidelines for Interviews Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

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.

Overview The AI Frameworks Group builds the software foundation that enables Microsoft to deploy and run AI models efficiently across a rapidly evolving set of hardware platforms. Our mission is to ensure that every relevant AI model runs as efficiently as possible on every Microsoft AI accelerator. Because AI powers nearly every Microsoft product and service, our work directly shapes the performance, scalability, and profitability of the entire company. At Microsoft's scale, even modest efficiency gains translate into outsized infrastructure cost savings, making this one of the highest-impact engineering opportunities in the company. We are looking for an accomplished engineering leader to build and lead the AI Optimization team: a group of expert engineers pushing the limits of AI performance through ML algorithm innovation, advanced AI compilation and hardware optimization, runtime and serving optimizations, and distributed execution. In this role you will set the technical vision and strategy for AI optimization across Microsoft's AI hardware portfolio. You will own the roadmap, drive execution, and partner with senior leaders across model, systems, compiler, and hardware organizations to deliver step-change gains in performance, scalability, and efficiency for Microsoft's most critical AI workloads. Responsibilities People Management • Managers deliver success through empowerment and accountability by modeling, coaching, and caring. Model: Live our culture. Embody our values. Practice our leadership principles. Coach: Define team objectives and outcomes. Enable success across boundaries. Help the team adapt and learn. Care: Attract and retain great people. Know each individual’s capabilities and aspirations. Invest in the growth of others. Coding • Provides technical leadership during code reviews for a solution/product area to assure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area. Brings expertise to code reviews to help improve code quality, proactively coaching and providing feedback to develop other engineers' skills. Ensures coding standards are followed. Screens for and establishes best practices in reviews and provides feedback on code to drive adherence to best practices. Uses automated source code analysis tools that are incorporated into the build/development process. • Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across the company that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while accounting for and incorporating relevant trade-offs. Identifies best practices and coding patterns (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions) and provides deep expertise in the coding and validation strategy. Creates and applies metrics to drive code quality and stability, appropriate coding patterns, and best practices. Leads efforts to identify and anticipate blockers or unknowns during the development process, escalate them, and communicate how they will impact timelines, and then drives the identification and implementation of strategies and/or opportunities to address them. • Acts as an expert on using debugging tools, tests, logs, telemetry, and other methods, and proactively leads verification of assumptions through while developing code before issues occur across products and teams in production. Leverages minimal telemetry data, triangulates issues, and resolves with minimal iterations. Leads incident retrospectives to identify root causes of problems, and owns the implementation of repair actions and the identification of mechanisms to prevent incident recurrence. Drives applying least-access principles, using logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security, and champions those practices across the team. Design • Establishes best practices and mentors others to create a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code. Establishes best practices and mentors others on ensuring test plans incorporate security testing to validate security invariants (including negative cases). Provides technical leadership on adding new tests to cover gaps, deleting or fixing broken tests, and improving the speed, reliability, and defect localization of the overall test suite across a solution or product. Mentors others on, and builds testable code and considers testability during design across solutions and/or products. Acts as a thought leader for understanding different types of tests that can be done on a particular system (e.g., unit tests), and maintaining up-to-date understanding of testing architectures used both across Microsoft and across the industry, and applies them across the architecture as appropriate. Designs and executes plans for redesigning or rearchitecting difficult or untestable sections of code across solutions and/or products. Leverages artificial intelligence (AI) tools for test automation. • Oversees, influences, and owns efforts and design discussions for the overall system architecture of entire products/solutions that are deeply complex and often ambiguous. Owns the testing and exploration of various design options for entire products/solutions, ensuring the strengths and weaknesses of each option are outlined and making recommendations for which design option is best. Owns creating proposals for architecture and design documents, and leads testing of hypotheses and deeply complex proposed solutions. Shares and acts on findings from investigations, owns design decisions, and oversees the less experienced team members. Leads the development of design documents that support user stories and other product requirements. Proactively identifies and evaluates new technologies to solve classes of problems, and determines and advocates for how to integrate these technologies within existing systems. Leads design discussions with the team and shares findings/learnings from investigations, owns design decisions. Provides technical leadership to ensure system architecture and individual designs meet performance, scalability, resiliency, disaster recovery, cost of goods sold (COGS), and other requirements and expectations. Upholds Microsoft standards of security, privacy, and other compliance requirements and expectations. Understands and coaches less experienced engineers on the importance of building solutions that expand upon the work of others. Leads the refinement of products through deeply complex data analytics, and makes informed decisions in engineering products through data integration. Reviews deeply complex designs/architectures within and across teams to provide recommendations for improvements. • Provides technical leadership for the identification of dependencies and incorporating them into the development of design documents for a product, application, service, or platform. Leads the active identification of other teams and technologies to leverage, how they interact, and where their own system or team can support others. Helps to create relationships and links impacting upstream and downstream interactions between systems and ensures security, compliance, performance, and reliability can be achieved across the entire stack. Drives coordination and collaboration with other teams to reach common goals where dependencies and validation concerns overlap. Enables and fosters communications and proactively negotiates across teams to resolve conflicts around dependency ownership and required work. Drives agreements between dependent teams to align to the delivery schedule. Engineering Excellence • Applies and identifies best practices and shares information with other engineers for building code based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants. Leads product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and security promises. • Remains current by investing time and effort into being informed staying abreast of current developments. Proactively seeks new knowledge, evaluating new trends, technical solutions, and patterns, assessing how to adapt them to current problems, and shares knowledge with other engineers. Conducts learning and literary sessions to raise awareness on relevant engineering design principles (e.g., security, testability, performance, scalability, accessibility, product knowledge). • Leads efforts to use and enhance, or build, new software developer tools to support easier, faster, and more effective software engineering across products. Identifies whether open source or internal code is available to address coding needs for a set of products, and reuses it in a responsible manner where applicable. Develops substantial skills in tools inside and outside current areas of expertise. Leads identification and/or creation of tools that are useful for building the product. Shares best practices and teaches others about new tools and strategies. • Collaborates with partner teams to ensure a set of products work well with the components of the partner team, ensuring proper end-to-end testing, live-site coverage, scalability, performance, and DRI escalation pathways are established before going live. • Considers and leads the identification of requirements for, and the comprehensive application of automation within production and deployment across products, targeting zero-touch deployment when possible. Runs code in simulated or other non-production environments to confirm functionality and error-free runtime across products. Implement • Leads efforts for experiments that determine the impact of changes using feature flags/flighting in their code, interprets results, and decides on next steps or ship decision from results. Drives identification of the correct metrics for experimentation in determining improving customer value. Drives collaboration efforts with internal partners (e.g., Data Science, product managers) to ensure incorporation of success and guard rail metrics for experimentation. • Leverages their deep subject-matter expertise to partner with appropriate stakeholders (e.g., technical program managers) to lead multiple products' project plans, release plans, and work items. Breaks down long-term project vision into milestones. Guides other members for project estimation and escalates only the most critical issues. Owns efforts to ensure required security protections and detection processes are accounted for in planning. Drives efforts to ensure project plans adhere to security, privacy, and compliance requirements. Proactively drives efforts to ensure all code across multiple products/solutions is properly flighted for quicker mitigation of production incidents. Calculates capacity for planning, accounting for appropriate failover and backup/restore mechanisms for disaster recovery for a set of complex solutions. Drives making considerations for efficient operation of a set of complex products and/or solutions after it is live. Drives proactively establishing rollback plans for a set of complex products and/or solutions. • Leads leveraging existing deployment frameworks in the implementation of solutions within the existing framework, driving the automation of deployment tasks where possible to ensure efficiency. Drives following safe change deployment best practices (including ensuring that flights are set correctly) for their team to minimize adverse impact to users and other services. Optimizes deployments across products and components to meet differing business objectives. Leads efforts to ensure that solutions are deployed safely, rolling out security-sensitive features only to applicable, relevant customers and scenarios to reduce the attack surface. Leads efforts to monitor dependency status and ensure that only the latest, secure versions are deployed. Leads efforts to define when rollback plans should be enacted for a set of complex products. Drives building deployment infrastructure to allow developers' private builds for a set of complex solutions to be tested in a production-like environment. Reliability and Supportability • Acts as an expert in design and integration and signs-off on work of others across teams or multiple products on logging and telemetry in systems and products to provide feedback on system behavior such as performance, reliability, availability, usage, and implement safety mechanisms, and for allowing monitoring and investigating security-related concerns and scenarios for both live and A/B experiments for products, services, and offerings, resulting in iterative feedback loops resulting in subsequent designs. Ensures solutions are scalable, financially responsible, and meet capture/storage guidelines. Provides technical leadership in efforts to classify, and analyze complex data and analyses on a range of metrics (e.g., health of the system, where bugs might be occurring), and sets expectations for outputs (e.g., notifications, dashboards) that improve monitoring and investigating security-related concerns and scenarios, system monitoring and/or issue identification and mitigation. Proactively considers the privacy implications of telemetry code changes, and of adding new data points. • Holds accountability as a designated responsible individual (DRI) and mentors other engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions. Alerts stakeholders as to status and initiates actions to restore system/product/service for complex issues. Develops a playbook for the team to resolve issues. Coordinates people and resources to ensure DRI responsibilities are covered across teams. Responds within service level agreement (SLA) timeframe. Has line of sight to incidences and plans to address emerging issues. Leads efforts to reduce incident volume, looking globally at incidences and providing broad resolutions. Escalates issues to appropriate owners. • Leads efforts in the maintenance of live site service, following security best practices when responding quickly to mitigate issues while using the minimum required permissions to do so that arise on a rotational, on-call basis. Implements and helps others implement solutions and mitigations to complex issues impacting the performance or functionality of live site services. Reviews systematic issues and ensures solutions. Ensures playbooks are logical and understandable. Uses feedback from other solutions to inform preventative measures. Reviews and writes complex incident postmortem and presents insights that drive changes to reduce or eliminate incidents across teams. Drives improving troubleshooting guides (TSGs), wikis, tests, and telemetry to make on-call better, and defining user-facing support documentation and additional test coverage to reduce likelihood of future user-initiated incidents. Drives the enablement of secure operations, security monitoring, and integration with live site investigation activities. Leads efforts to identify opportunities (e.g., lunch talks, automation, practices, tools) that can be leveraged to improve the live site experience and execute on them. Understand User Requirements • Partners with and guides appropriate internal (e.g., product manager, privacy/security subject matter expert, technical lead) and external (e.g. customer escalation team, public forums) stakeholders and leverages expertise to anticipate, determine, and confirm customer/user requirements and their feasibility for one or more complex scenarios. Proactively seeks and leverages a variety of feedback channels to incorporate customer insights into future designs or solution fixes. Leads incorporation of unwritten requirements, such as appropriate continuous feedback loops that measure actionable, quantitative (e.g., customer value, usage patterns, solution performance) and qualitative (e.g., accessibility, globalization) indicators of value. Determines additional critical metrics. Understands and leads providing feedback on, and advocating for the security and privacy needs of the customer who will be using the complex set of solutions. Qualifications Required qualifications • Bachelor's degree in Computer Science or a related technical field. • 10+ years of technical engineering experience, including 2+ years designing and implementing AI kernels, AI optimization algorithms, or AI compilation techniques (or closely related performance and systems optimization work). • Proficiency in C++ and Python. • 3+ years of people management experience. • Proven ability to recruit and build a team, and to create energy and momentum. Preferred qualifications • Master's Degree or PhD in Computer Science or related technical field • Deep expertise in one or more areas such as quantization, sparsity, speculative decoding, graph optimization, operator fusion, code generation, inference serving, batching and scheduling, caching. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Description We’re a fast-growing applied AI for D2C brands (ecommerce & retail) startup working with leading brands in Israel and the US, backed by a16z, and top Silicon Valley VCs. Our platform helps eCommerce brands uncover conversion leaks, run AI-suggested experiments, and deliver personalized, optimized experiences in real time. We’re looking for a Head of Engineering to join the founding team and help shape the product, architecture, and engineering culture from an early stage. This is a deeply hands-on role. We are looking for someone who is highly motivated by technology, still loves building, and wants to stay close to the code, architecture, product, and technical decisions. At the same time, this role is intended to grow into a broader R&D leadership position as the company scales. We’re looking for someone with a proven management track record, ideally someone who has previously been promoted into engineering leadership and managed development teams — preferably at least at group manager level or equivalent. The right person combines strong technical depth, product intuition, high ownership, and real leadership ability. What You’ll Do • Design, build, and ship core product features end-to-end • Build agents, tools, skills, harnesses, and scalable agentic workflows • Make architectural decisions across frontend, backend, data, and infrastructure • Work closely with the founders on product direction and technical strategy • Build scalable, reliable systems that operate in high-traffic production environments • Develop systems for real-time personalization, experimentation, and optimization • Balance fast iteration with robustness, performance, and long-term maintainability • Lead by example through hands-on execution and technical excellence • Help define engineering practices, culture, hiring standards, and team structure • Take increasing leadership ownership as the R&D team grows Requirements Requirements • Strong hands-on engineer with experience across the stack • Proven experience managing engineering teams • Previous promotion into engineering leadership is a strong signal • Preferably managed at group manager level or equivalent • Strong passion for technology and building products hands-on • 7+ years of professional software engineering experience, or equivalent depth • Experience building complex production systems • Experience with AI agents, agentic systems, or AI-powered products • Experience working with large-scale data, event streams, analytics, or high-volume datasets • Strong understanding of browser runtime behavior, JavaScript execution, DOM, performance, security, and edge cases • Solid fundamentals in system design, APIs, data modeling, infrastructure, and performance • Comfortable operating in ambiguity and making high-impact technical decisions • Strong ownership mindset — cares deeply about outcomes, not just implementation Tech Stack We don’t expect expertise in everything, but you should be comfortable working across much of the following: Backend: Node.js, JavaScript / TypeScript, python Frontend: React, JavaScript / TypeScript, Next.js Cloud & Infra: GCP Data: BigQuery, PostgreSQL, Redis Messaging / Streaming: Google Pub/Sub Agents framework: AI SDK, LangGraph Bonus • Experience with AI/ML-powered products • Background in experimentation, personalization, analytics, or growth platforms • Previous early-stage startup or founding team experience • Experience owning and operating production systems in customer-facing environments • Experience hiring, mentoring, and scaling strong engineering teams Why Join • Founding-level impact and equity • Direct influence on product, architecture, and technical direction • Opportunity to build and lead the R&D function from the ground up • Work on hard, real-world problems at the intersection of AI, data, and UX • Build technology that runs on leading D2C and eCommerce brands • Work closely with an experienced founding team

Description Fluent Technologies is a prominent software provider delivering ultra-low-latency financial systems to tier-1 banks across the EU and US. Our solutions support algorithmic trading, market access, risk management, price adaptation, liquidity aggregation, and more. As we expand our customer base and continue to grow our product offering, we are seeking a Development Group Leader to lead a team of engineers working on high-performance, mission-critical systems. The development group consists of approximately 120 engineers across various roles, including core development, GUI development, QA, DevOps, and DBA, all working with a range of technologies. The software we develop operates in microsecond latencies and is used by all our customers, though it is not multi-tenant. It is an On-site position in our Jerusalem office. Key Responsibilities: • Lead sprint planning and ensure effective project delivery. • Directly manage part of the development team, fostering collaboration and growth. • Oversee system architecture during design reviews, ensuring optimal solutions. • Communicate directly with customers to understand their needs and gather requirements. • Take ownership of the full development cycle, from specifications through design, coding, and unit testing. • Ensure high standards of quality, performance, and reliability across all software products. Requirements • 4+ years of experience managing large engineering teams, including multiple team leaders and cross-functional teams (developers and QA). • Strong experience in Agile methodologies (Scrum or similar). • Proven experience working with mission-critical, high-availability systems • Direct interaction with external customers, including involvement in gathering requirements and translating them into technical solutions. • Experience as a system architect, with a solid understanding of large-scale, complex software systems. • Expertise in developing high-performance software, code optimization, and latency measurement. • Solid knowledge of Linux environments, with a strong background in multi-threading and multi-processing. • Strong hands-on/technical background in C++ programming. • At least 7 years of hands-on software development experience in a related field • Fluency in English is essential. Advantages: • Experience in the financial industry and algorithmic trading. • Experience in .NET / C#.

Description Head of Engineering We are a well-funded cybersecurity startup backed by top-tier VCs. Our mission is to solve some of the most challenging problems in the security of software– how to make AI-first organizations release applications fast and not be bothered by security, leveraging AI agents to create secure code and fix vulnerabilities. We are in a fast-growing, new space and looking to lead this new era of application security where AI write code. The Role We are looking for a Head of Engineering to lead and scale our engineering organization as we continue to grow. This role is ideal for a hands-on engineering leader who grew through software development roles and has experience building teams in startup environments. You will be responsible for shaping the engineering culture, scaling the organization, and ensuring the successful delivery of our platform. Responsibilities • Lead and grow the engineering organization, including team leads and individual contributors • Define and execute the engineering strategy aligned with company goals • Build scalable engineering processes and development practices • Work closely with product, security, and executive leadership on roadmap and strategy • Ensure high standards for system architecture, reliability, and security • Recruit, mentor, and develop top engineering talent • Drive a culture of ownership, innovation, and execution Requirements • 8+ years of software engineering experience, including a proven track record of leading engineering teams in startup and high-growth environments. • Experience managing multiple teams or team leads • Strong system architecture and cloud-native platform experience • Experience with microservices architectures and large-scale systems • Strong leadership, communication, and organizational skills Nice to have • Experience in cybersecurity, DevSecOps, or developer tooling • Experience scaling engineering teams from early-stage to growth-stage companies • Familiarity with AI-driven platforms or data-intensive systems

Description Mentee Robotics, now part of Mobileye, brings world-class robotics expertise, together with Mobileye's decades of leadership in computer vision, machine learning, and autonomous driving technologies. Building on that foundation, Mentee by Mobileye is creating the "MenteeBot", the AI-first humanoid robot that combines perception, reasoning, learning, and advanced dexterous manipulation, designed to work alongside people in their everyday lives, at the workplace and in the home. At Mobileye, our technologies power more than 230 million vehicles worldwide and have helped shape the future of autonomous mobility. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for real life. Responsibilities • Lead the SW Backend Team, responsible for scaling robotic operations, fleet management, and performance analytics. • Drive architectural decisions around scalability, reliability, performance, and observability. • Work closely with AI, simulation and parallel software teams to ensure cohesive development across the company. • Foster a culture of technical innovation, engineering excellence, and personal accountability. Requirements • 2+ years of experience leading backend or platform teams, including ownership of roadmaps and cross-team collaboration. • 5+ years of hands-on backend software development experience, building production-grade systems at scale. • Strong experience designing and maintaining distributed systems, robust APIs, and data-driven services. • Deep proficiency in Python and a strong working knowledge of TypeScript. • Extensive hands-on experience designing and managing both SQL and NoSQL databases. Specific experience with PostgreSQL, MongoDB and Redis is highly preferred. Advantages • Solid experience designing and implementing asynchronous communication using message brokers and event streaming platforms (e.g., RabbitMQ, Kafka). • Hands-on experience implementing logging, monitoring, and alerting systems (e.g., Elastic Stack / ELK, Prometheus, Grafana) to ensure the reliability and health of complex, distributed architectures. • Experience deploying, scaling, and managing applications on cloud platforms like AWS or GCP. • Hands-on experience with popular web frameworks like NestJS, Django, or FastAPI. • Basic working knowledge of modern frontend frameworks (e.g., React, NextJS) to occasionally build or maintain internal dashboards and tools.

Description Paragon is on a mission to transform the world of cyber intelligence. Based in Tel Aviv, our team is made up of top-tier talent who are passionate about making an impact. At Paragon, you’ll find the freedom to think boldly, collaborate with purpose, and grow alongside a team united by a shared mission. We are looking for an exceptional Backend Team Lead to lead and mentor a team of engineers while designing and scaling mission-critical backend systems and research platforms. In this role, you will drive architecture and technical decisions, ensure high engineering standards, and collaborate across teams to deliver reliable, scalable, and innovative solutions. We are looking for a hands-on technical leader with strong backend and system design experience, a passion for solving complex challenges, and the ability to build and grow high-performing engineering teams. Responsibilities • Lead, grow, mentor, and manage a team of talented engineers, focusing on their professional growth and personal development. • Shape and influence cross-team and department-wide technical processes in an agile, fast-paced ecosystem. • Take full ownership of the backend lifecycle—from system design and architectural decisions to deployment and production maintenance. • Design and oversee the development of backend services where high availability and resilience are the top priorities. • Drive technical excellence by enforcing high standards for code quality, testing, and documentation. • Collaborate closely with Product Managers, other teams and Operations to translate complex business requirements into elegant technical solutions. • Take part in deep-dive troubleshooting and drive technical post-mortem discussions to identify the root cause of complex application issues. • Champion innovation and the adoption of modern technologies and best practices within the team. Requirements • 2+ years of experience as a Team Leader in a backend-focused environment. • 5+ years of proven experience in backend development (experience with [Python/Go/Java/Node.js] preferred). • Deep understanding of System Design and Microservices architecture, including experience with distributed systems and scalability. • Solid experience with Containerization (Docker) and orchestration in a Kubernetes (K8s) environment. • Strong understanding of RESTful APIs / gRPC and asynchronous messaging systems (e.g., Kafka, RabbitMQ). • Proven experience with SQL and NoSQL databases (e.g., PostgreSQL, Redis, MongoDB), including schema design and query optimization. • Proven experience with CI/CD methodologies and tools for automated testing and deployment. • Great interpersonal skills and a "can-do" attitude. Advantages • Experience with Golang or Python in a production-grade environment. • Background in Offensive Cyber.

Description Guardio is one of the fastest-growing companies in consumer cybersecurity - we’ve doubled revenue four years running, passed $150 million in ARR, and now protect over a million people, at a moment when AI has made scams more convincing than ever. AI has democratized cybercrime: scams that once required sophisticated hacking teams are now cheap, personalized, and everywhere. Traditional security wasn’t built for this - so we’re building it, protection that sees the person, connects all the dots - and stop attacks and scams wherever vector they come from. And honestly, we all feel here - it’s just the beginning! So, what’s the job?  We’re looking for a Director of Engineering to join our R&D leadership team, reporting to our VP R&D. You’ll own our engineering groups end to end - leading their Group Leads and Team Leads, setting technical direction across large parts of the product, and making sure we deliver fast, reliably, and at consumer scale. This role is about building a world-class engineering organization: the people, the processes, and the technology that will carry Guardio through its next stage of growth. What will you actually do?  • Lead, mentor, and grow Group Leads and Team Leads across several engineering groups • Own delivery, quality, reliability, and technical vision across multiple product areas • Partner with the VP R&D to shape R&D strategy, org structure, headcount planning, and engineering culture • Work hand in hand with Product, Design, and Data leadership to turn company goals into clear plans, priorities, and roadmaps • Drive architectural and system design decisions that scale – in performance, security, and cost • Set the bar for how we build: engineering standards, AI adoption, processes, tooling, and ways of working across groups • Lead hiring for senior engineers and managers, and build a strong leadership bench for the future • Identify risks and bottlenecks across the organization early – and fix them • Lead by example – with a high bar for quality, performance, and ownership Sounds great! Am I the right fit?  You might be, if you: • Have 5+ years of experience managing managers – leading multiple Team Leads and/or Group Leads • Willingness to roll up your sleeves and do hands-on work - must • Have a proven track record of scaling engineering organizations and delivering complex products at scale • Have previous experience in fast-moving startups - and know how to get things done • Still care deeply about the tech - and can go deep on architecture and code when it matters • Know how to grow leaders, not just engineers - and build a culture of trust, ownership, and continuous improvement • Think strategically, balance long-term vision with short-term execution, and make clear decisions under ambiguity • Have excellent communication skills and can influence peers, senior leadership, and cross-functional partners

SciPlay is a leading developer and publisher of digital games on mobile and web platforms, providing highly entertaining free-to-play games that millions of people play every day for their authenticity, engagement and fun. SciPlay currently offers nine core games, including social casino games Jackpot Party Casino, Gold Fish Casino Slots, Hot Shot Casino and Quick Hit Slots, and casual games MONOPOLY Slots, Bingo Showdown, 88 Fortunes Slots, Backgammon Live and Solitaire Pet Adventure with offices all over the world! Position Summary Serve as the Head of Engineering for 88 Fortunes, leading the engineering organization responsible for the game’s Unity client and backend services. As a member of the 88 Fortunes studio leadership team, this role also contributes to the studio’s broader strategic direction and priorities. This role combines people leadership, technical direction, delivery ownership, and hands-on architectural judgment across the full product stack. Key Responsibilities : • Own the engineering strategy, execution, and technical roadmap for 88 Fortunes across client and backend development. • Lead, coach, and grow engineering managers and senior engineers, building a high-performing and accountable organization. • Create clear ownership, operating rhythms, engineering standards, and measurable goals across teams. • Partner closely with Product, Design, QA, Analytics, Live Operations, DevOps, and other stakeholders to translate business priorities into reliable delivery plans. • Drive predictable execution, release quality, technical risk management, and continuous improvement across the software development lifecycle. • Balance feature delivery with platform health, architecture evolution, scalability, security, observability, and reduction of technical debt. • Own hiring, workforce planning, succession planning, and development of engineering talent. • Establish and track engineering metrics covering delivery, quality, reliability, operational health, and team effectiveness. • Communicate technical direction, tradeoffs, risks, and progress clearly to senior leadership and non-technical stakeholders. Requirements: • Extensive software engineering experience, including significant leadership of multiple teams or an engineering organization. • Proven experience delivering complex, customer-facing products that include both client applications and backend services. • Strong technical depth in at least one side of the stack, with demonstrated ability to lead architecture and make sound decisions across both client and backend domains. • Experience leading Unity client development or closely related real-time, mobile, or game-client technologies. • Strong backend engineering experience with APIs, distributed systems, databases, cloud infrastructure, scalability, reliability, and production operations. • Experience hiring, coaching, and developing managers, technical leaders, and senior individual contributors. • Ability to combine strategic thinking with pragmatic execution and to make clear tradeoffs among scope, quality, speed, and technical sustainability. • Excellent written and verbal communication skills, including the ability to influence across functions and at executive level. Client Engineering Leadership (Unity): • Provide technical and organizational leadership for Unity-based client development. • Guide architecture and engineering practices for maintainable, modular, performant, and testable client systems. • Ensure strong practices for memory and performance optimization, asset management, build pipelines, release management, and platform compatibility. • Drive high-quality player experiences through close collaboration with product, design, art, QA, and backend teams. • Oversee client stability, crash reduction, diagnostics, telemetry, and production issue resolution. Backend Engineering Leadership: • Lead the design and operation of scalable, reliable, secure, and observable backend services and APIs. • Guide architecture for distributed systems, data flows, integrations, service ownership, and production operations. • Promote strong engineering practices in automated testing, CI/CD, monitoring, incident response, performance, and capacity planning. • Ensure effective collaboration between client and backend teams on API contracts, versioning, data consistency, feature rollout, and backward compatibility. • Our current backend is primarily PHP. Deep PHP expertise is preferred but not required; strong senior-level backend experience in comparable production environments is acceptable, with the ability and willingness to work effectively in a PHP ecosystem.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: CrowdStrike is seeking a Senior Engineering Manager for our Falcon Cloud Security team, specifically focusing on Cloud Runtime Products. This role will lead the team developing the CDR product in close collaboration with other platform teams along with designing and developing the control plane services for Cloud runtime sensors. The position requires deep domain expertise in cloud security and a proven track record of building and leading high-performing engineering teams. What You'll Do: • Lead and grow a specialized backend engineering team focused on realtime CDR & highly scalable Cloud control plane services • Collaborate closely with Falcon Cloud Platform teams to integrate and drive requirements for CDR product • Collaborate closely with security research and data science teams to build cutting edge detection engineering capabilities • Design and implement highly scalable backend services for large scale configuration and management of sensors and pipelines to process large amount of telemetry data • Drive product strategy and prioritization in collaboration with product management • Provide technical leadership and mentorship to team members • Interface with customers to understand needs and ensure successful product adoption • Make critical decisions about technical architecture and product direction • Manage resource allocation and team capacity planning • Drive hiring initiatives to build and maintain a high-performing engineering team • Establish and maintain engineering best practices and technical standards What You'll Need: • BS/MS in Computer Science or related field, or equivalent work experience • 8+ years of engineering management experience with a strong technical background • Extensive experience in Cloud Security • Deep technical knowledge of major cloud providers (AWS, GCP, Azure). • Strong programming skills in Python and Go • Proven track record of delivering complex technical products • Strong experience in cross team collaboration and stakeholder management • Excellence in people management and team development • Experience in AI driven development methodologies • Demonstrated ability in strategic planning and execution • Strong analytical and problem-solving skills • Experience in hiring and developing engineering talent • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: • Experience with distributed systems and data processing technologies (Kafka, ElasticSearch, Postgres) • Experience with cloud security frameworks and standards • Knowledge of security automation and orchestration • Experience with microservices architecture • Contributions to open-source projects or security communities Location: This position is based in our Tel Aviv, Israel office and requires strong leadership presence and ability to work closely with cross-functional teams. #LI-MB1 Benefits of Working at CrowdStrike: • Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. 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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

Big Ideas. Real People. At Orca, in the right environment and with the right team, talent has no boundaries. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you’re ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod. We’re looking for driven and talented people like you to join our Engineering team and our mission to change the future of cloud security. Ready to dive in and swim with our pod? Highlights: • High-growth: Over the past seven years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities. • Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company. • Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence. • Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry. About the Role: As a Team Manager on the Orchestrator team, you'll lead one of Orca's most strategic engineering teams, responsible for the scan pipeline end to end, from trigger to published results. The orchestration layer this team owns sits on the critical path of the entire product, and every scan Orca runs goes through it. The platform is large-scale, distributed and always on, running across all of Orca's production sites worldwide, including regulated and customer-hosted environments. It is a demanding distributed-systems domain, where throughput, resilience and cloud efficiency are permanent engineering concerns rather than one-off projects. You'll lead a team of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. You'll drive key architectural decisions, lead the platform's move to its next-generation architecture, and evolve it for higher scale, stronger resilience and deeper visibility into every job in flight. We're looking for an experienced Team Leader who wants to make a foundational impact on the engine that powers Orca's cloud security platform. Our Stack: Python, AWS, Kafka, Redis, SQS, Postgres, Kubernetes. Our scanning surface extends across Azure, GCP, OCI and Alibaba Cloud and others. What You'll Do: • Lead, mentor and develop a team of senior software engineers through one-on-ones, feedback and technical guidance • Own and drive the delivery of high-impact projects end to end, from design through deployment and production monitoring • Design and review architecture for large-scale distributed systems, with a focus on scalability, resilience and efficiency • Drive the platform's scalability and cost efficiency as scan volumes grow • Collaborate cross-functionally with Product, SRE and other R&D teams to define priorities, interfaces and success metrics • Ensure the reliability, scalability and observability of core services, introducing SLOs and best practices for operations • Uphold the team's engineering standards for code quality, safe rollout of changes and long-term maintainability • Write and review clean, maintainable and tested code What You Bring: • Bachelor's degree in Computer Science, Engineering, or equivalent experience • 7+ years of professional software development experience, including at least 2 years in a team lead role. • Proven experience leading teams that build and operate large-scale, mission-critical distributed systems • Strong hands-on Python, including async programming at scale - Must • Strong understanding of distributed systems design, including concurrency, distributed state, idempotency, delivery semantics and performance optimization • Solid grasp of resilience patterns such as retries, backpressure, rate limiting, timeouts, resumable workflows and failure recovery • Hands-on experience with event streaming and queueing systems such as Kafka and SQS • Hands-on experience with Redis and with relational databases such as Postgres - Advantage • Deep understanding of cloud-native architectures and cloud provider APIs, AWS in particular, including compute, storage, IAM and related services • Excellent communication and collaboration skills, with the ability to align engineers, product managers and stakeholders • Experience mentoring engineers and guiding technical growth • Comfortable balancing hands-on technical work with people and project leadership responsibilities #LI-ORCA