Engineering Manager jobs in Tel Aviv-Yafo

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.

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.

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 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.

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

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

Established in 2022, Guardz rapidly emerged as a noteworthy player in the cybersecurity sphere, securing $85M in funding and rallying a dedicated team of 120 industry professionals. Our vision is to foster a safer digital landscape for small and medium businesses across the globe. To this end, we introduced our comprehensive all-in-one platform, and continue to grow and expand our team, our partnerships and our revenue. Guardz is looking for an Engineering Manager to lead one of our product engineering teams, building and scaling our cybersecurity platform. We’re looking for a manager who is AI-first in mindset, comes from large-scale product environments, and knows how to translate product needs into scalable, reliable, and high-performing engineering solutions. You will operate in a fast-moving environment, driving execution while adapting quickly to change. Responsibilities: • Lead and develop a high-performing team of engineers, fostering ownership, accountability, and growth • Promote an AI-first engineering culture, leveraging modern tools to improve velocity and effectiveness • Drive delivery of customer-facing features with high standards for quality, performance, scalability, reliability, and speed • Identify performance and architectural bottlenecks and drive technical decisions that support future scale and efficient data processing • Partner closely with Product, Design, Security Research and other stakeholders to define priorities and deliver business impact • Stay close to the team’s technical work, contributing to design, architecture, and problem-solving when needed • Own team execution end-to-end, from planning and delivery to continuous improvement • Coach and mentor engineers, supporting their professional and career growth • Continuously improve development practices, including CI/CD, testing, and cloud infrastructure Requirements: • 5+ years of experience managing engineering teams • Proven experience building large-scale products serving a significant customer base • Strong experience with performance-sensitive systems with demanding reliability and SLA requirements • Strong system design and architectural experience, including performance, scale and data processing; experience with multi-tenant environments is a strong advantage • Strong product and business orientation, able to connect engineering decisions to customer and company impact • Proven adoption of AI-first development practices • Experience working in dynamic, fast-paced environments • Strong technical background in modern software development; the specific technology stack is flexible based on relevant experience • Hands-on capability, able to dive into technical challenges and support the team when needed • Solid experience with cloud environments and CI/CD practices • Excellent communication and stakeholder management skills • Lead by example • High level of independence and ownership

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

About Bluevine Bluevine is the largest small business banking platform in the U.S., redefining how entrepreneurs manage their money. We create modern financial solutions, from checking and lending to payments and beyond, designed to help small business owners grow, thrive, and take control of their financial future. Our best-in-class technology, advanced security, and deep understanding of the small business community give our customers the confidence to focus on what they do best. Since 2013, we’ve supported more than 750,000 small businesses nationwide. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, our 500+ person global team shares one mission: to give small businesses the financial tools they need to succeed. We’re innovators driven by big ideas, collaboration, and real impact. Here, you’ll have the freedom to take ownership, grow your career, and make a difference for small business owners across America. Ready to shape what’s next? We’re looking for a Software Engineering Manager to lead Bluevine’s Core team, responsible for developing the software infrastructure that supports our backend systems and data workflows. This role combines people management with hands-on Python development, backend architecture and distributed systems. You’ll guide the team’s technical direction and delivery, support engineers’ growth and work closely with engineering and data teams across the company. What You’ll Do • Lead and mentor a team of three experienced backend engineers, supporting their professional growth and day-to-day work while dedicating 30–50% of your time to hands-on development. • Lead the design and development of core software infrastructure and reusable backend components in Python. • Work with Data teams to build infrastructure for data integration and processing, supporting streaming and batch workflows. • Own team planning, prioritization and delivery, balancing ongoing development with long-term architectural improvements. • Stay closely involved in architecture, code reviews and complex technical challenges, maintaining high standards for code quality, testing and reliability. • Lead AI adoption across the software development lifecycle, including developing AI agents and integrating them into engineering infrastructure and workflows. • Collaborate with Backend, DevOps and Data teams to improve performance, scalability and reliability in production. What We’re Looking For • Proven experience managing a software development team and leading technical projects from design through production. • 7+ years of Python development experience, with a strong background in backend engineering. • Experience designing and developing scalable backend systems and shared software infrastructure. • Strong understanding of distributed systems, software architecture and performance optimization. • Experience developing and maintaining services in cloud and containerized environments. • Ability to make technical decisions, manage priorities and help engineers solve complex problems. • Strong communication skills and experience working across engineering and data teams. Nice to Have • Experience with data pipelines, streaming systems or batch processing. • Experience integrating AI agents into software development workflows. • Experience with Django, FastAPI or Flask. • Familiarity with AWS services and Docker, ECS or Kubernetes. • Experience with observability, CI/CD and infrastructure as code. Benefits & Perks • Excellent group health coverage • Flexible hybrid work model • Large Study Fund contribution • Salary Benchmarks and Checkpoints • Monthly meal card of TenBis or CiBus (your choice) with generous balance • Free parking for cars, scooters, and bikes • Free gym membership • Company-sponsored Mental Health Benefits • PTO, Company Holidays, and Flexible Holidays • Community-based volunteering opportunities

About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us. About the role We are looking for an experienced Engineering Team Lead who excels at people management, cross-team collaboration, and driving execution across organizational boundaries. Your group sits at the intersection of product, operations, finance, and external partnerships. The team's work spans client implementation and integrations, an in-house billing system, a backoffice platform serving internal operations, and a data integrations pipeline connecting Hello Heart to vendors, health plans, and enterprise clients. A significant part of the role involves working closely with US-based teams — including Operations and Finance — and occasionally joining technical calls with external clients and partners. This is a role for someone who combines deep technical judgment with the communication skills and organizational awareness to operate effectively across teams and time zones. Responsibilities • Lead and develop a team of four experienced backend engineers — setting technical direction, running effective processes, and growing individual capabilities. • Maintain and raise the technical quality of systems spanning client integrations, billing, backoffice, and vendor pipelines — upholding standards across code quality, reliability, security, and maintainability. • Drive the technical design and execution of client onboarding and integration projects — working across internal teams and directly with external technical stakeholders when needed. • Partner closely with Product, Operations, Finance, and external client teams to translate complex requirements into reliable technical solutions. • Stay hands-on — contribute to design, code review, and critical implementation where it matters most. • Drive adoption of AI tools and engineering workflows that improve team throughput and output quality. Technology stack • Languages & frameworks: Scala, Play Framework, Node.js • Frontend: React Native, ReactJS • Cloud & infrastructure: AWS, Kubernetes, Docker • Databases: MongoDB, PostgreSQL, Redis • Messaging & streaming: Kafka • CI/CD: Jenkins • Observability: Prometheus, Grafana Qualifications • 3-4 years leading or managing an engineering team — including coaching and driving technical initiatives. • 7+ years of backend engineering experience, with meaningful depth in distributed systems, system design, production reliability, and complex backend architectures. • Solid understanding of cloud infrastructure (AWS or equivalent) and how it underpins reliable system operations, with strong focus on security, performance, and maintainability at scale. • Excellent English communication skills — written and verbal — comfortable operating across US-based teams and occasionally engaging directly with external technical stakeholders. • Hands-on experience with complex integration environments — third-party APIs, data pipelines, or enterprise client onboarding and implementation. • Strong AI fluency — actively uses AI tools to accelerate personal and team workflows. • Degree in Computer Science or a related field, or equivalent practical experience. Nice to have Qualifications • Hands-on experience with Node.js or Scala. • Experience with Kubernetes and containerized deployment environments. • Familiarity with healthcare data integrations. • Experience working in B2B environments Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.

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

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

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. As an Application Infrastructure Team Lead, you’ll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, you’ll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale. If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth. You’ll Own: • Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence. • Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot. • Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack. • Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS. You’ll Solve: • Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis. • Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale. • Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs. You’ll Impact: • Engineering velocity: Providing the foundational building blocks that empower all product engineering teams to build faster and better. • System reliability: Ensuring the high availability, scalability, and security of mission-critical systems. • Technical culture: Driving a mindset of continuous improvement and technical excellence that resonates across the R&D organization. How You’ll Succeed Here: • You are a seasoned leader with 8+ years of hands-on technical experience, with at least 2+ years of experience leading engineering teams in a fast-paced environment. • You have deep, hands-on experience with Java & Spring Boot, building complex, large-scale server-side applications (this is a must). • You possess deep knowledge in at least one of the following: PostgreSQL, OpenSearch, Redis, MongoDB, SQS, or Kafka, and you know how to lead engineers to get the best out of these tools. • You are highly proficient with AWS services and understand how to leverage cloud infrastructure to build resilient systems. • You can see the big picture, balancing the need for immediate delivery with long-term architectural health and scalability. • You excel at communicating complex technical concepts clearly to both technical and non-technical stakeholders and at building consensus across teams. • You hold a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. *We operate in a flexible hybrid work model. What makes Engineering at Gong unique? Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call this “Own. Solve. Impact.” For our engineers, it means being involved and able to influence the entire process to create the best product. If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you! About us We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits. If these considerations are important to you when choosing a workplace, we'd love to see you with us. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details. #LI-HS1

Description Tech is at the center of everything we do at Fiverr and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the Fiverr Technology team might be right for you. We're looking for a brilliant Development Team Leader to step in and lead a critical backend engineering team, ensuring our product roadmap stays on track and our systems remain stable. This is a high-impact opportunity to provide leadership, drive successful project delivery, and foster the growth of talent within our dynamic environment. What am I going to do? • Drive the team's project roadmap, owning the schedule and ensuring on-time delivery while proactively managing dependencies. • Act as the primary point person for production health, overseeing reliable deployments and leading swift incident response. • Provide hands-on technical mentorship and guidance to engineers, championing best practices in security and architectural design. • Cultivate strong partnerships with team leaders from the group to facilitate seamless cross-functional integration and align on shared objectives. • Optimize day-to-day operational rituals, including stand-ups, sprint planning, and task allocation, to maintain team velocity and efficiency. Requirements • You are a true Technical Solver, leading your backend team not just through direction, but through the kind of deep technical judgment that turns hard problems into clear paths forward. • Brings a solid background in production support and incident management, ensuring system reliability and swift resolution of issues. • Excels at providing technical mentorship and conducting effective code reviews for engineers at varying experience levels. • Possesses excellent cross-functional collaboration skills, adept at navigating dependencies and fostering alignment with partner teams. • Deep understanding and practical application of Agile methodologies to optimize team workflows and delivery. • Demonstrates strong experience in technical project management, driving complex software development roadmaps from conception to delivery. Nice to have • Experience working with mobile application development teams or integrating services with native mobile platforms. • Familiarity with modern security best practices and architectural patterns in a SaaS environment. • Prior experience in a fast-growing tech company, navigating scale-up challenges. Working with AI While human leadership, intuition, and mentorship remain paramount, this role will leverage AI-powered tools such as project management assistants to identify potential timeline risks and automate routine reporting. AI will also support in code analysis to flag potential security vulnerabilities, allowing you to focus on strategic guidance and complex problem-solving. Equal opportunities At Fiverr, we're not about checklists. If you don't meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

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