Jobs in Tel Aviv-Yafo

Mid-Market Account Executive As an Account Executive on our Mid-Market Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size organizations. Sellers follow a well-defined methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product. Mid-Market reps have the opportunity to grow their careers in Sales and continue contributing to Datadog team success. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: • Focus entirely on net-new logo acquisition • Convert inbound leads to closed opportunities • Leverage tools such as Sales Navigator and DiscoverOrg • Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users (SRE, DevOps, DevSecOps) • Multi-thread into different departments of a complex organization • Collaborate with Sales Development Representatives to drive top of funnel activity • Manage the full sales cycle, including negotiations and on-site technical demonstrations 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 experience, we encourage you to apply. Who You Are: • Experienced in hunting and closing net new logos • Able to strategically map out and break into large scale organizations • Curious, motivated, and driven as a sales person • Bold on the phones and creative in your emails • Able to sit up to 6 hours, traveling to and from client sites via auto, train, or air, up to 30% of the time Benefits and Growth: • High income earning opportunities based on self performance • Opportunity for Presidents Club • New hire stock equity (RSU) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Sales training in MEDDIC and Command of the Message • Intra-departmental mentor and buddy program for in-house networking • An inclusive company culture, opportunity to join our Community Guilds • Generous global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. 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.

Description At OneStep, we believe every step tells a story. A story about health. About recovery. About independence. About risk. And increasingly, a story that healthcare can use to make better decisions and improve lives. Already used by more than 250,000 patients and powered by more than 35 billion steps analyzed, our patented technology turns any smartphone into clinically validated movement intelligence, capturing meaningful data as people move through everyday life. We help healthcare organizations detect changes earlier, personalize care, and improve clinical and financial outcomes at scale. OneStep is rapidly expanding across senior care, health systems, risk-bearing organizations, and medical-device markets. We are building a new global healthcare category that will transform how health is measured and managed. That's where you come in. We're looking for a strategic Product Marketing & Go-to-Market leader to build the strategy that takes Movement Intelligence into new verticals. Working at the intersection of Product, Clinical, Sales, Customer Success, and Marketing, reporting to the Chief Growth and Marketing Officer, you'll shape vertical strategies, define how our value translates across different healthcare markets and turn complex product, clinical, and data capabilities into clear, compelling narratives that customers immediately understand and act on. You'll combine strategic thinking with exceptional storytelling, and build go-to-market plans that turn new market opportunities into scalable growth. What you’ll lead Help redefine how healthcare understands human movement. • Lead the go-to-market strategy and execution for new products and strategic initiatives. • Craft the strategic narrative behind every launch and go-to-market initiative, connecting customer challenges, clinical evidence, business outcomes, positioning, messaging, and commercial execution into one compelling story. • Build and execute go-to-market strategies for existing and emerging healthcare verticals, defining target segments, ideal customer profiles, priority use cases, buyer journeys, value propositions, and routes to market. • Own the end-to-end execution of go-to-market programs, orchestrating every launch across Product, Sales, Marketing, Clinical, and Customer Success to ensure every campaign component is delivered on time and performs as one cohesive experience. • Translate product and vertical go-to-market strategy into integrated, multi-channel campaigns, developing messaging and content across landing pages, emails, LinkedIn, webinars, PR, presentations, sales enablement, case studies and customer communications. • Conduct customer, market, and competitive research to identify market opportunities, customer needs, buying behaviors, market dynamics, growth opportunities and competitive differentiation. • Equip commercial teams with messaging, proof points, sales narratives, and storytelling frameworks, that help advance enterprise conversations and drive growth. • Identify opportunities to improve customer adoption and expansion throughout the customer journey, including patient and frontline employee engagement initiatives. • Establish scalable Product Marketing and Go-to-Market frameworks that support OneStep's continued growth while influencing product strategy and commercial success. Requirements • 7+ years of experience in Product Marketing, Go-to-Market Strategy, Strategic Marketing, or Market Development within B2B technology, digital health, or healthcare. • Proven experience developing go-to-market strategies that opened new products, customer segments, or market opportunities, not just executing product launches. • Brings both strategic rigor and creative intuition. Comfortable using data to shape decisions without losing sight of the human story. • Ability to turn customer, market, and competitive insights into positioning, commercial strategy, and business decisions. • Comfortable moving between executive strategy discussions and hands-on execution. • Proven ability to build strong cross-functional partnerships across Product, Clinical, Sales, Customer Success, and Marketing. • Ability to thrive in a fast-paced startup environment and drive initiatives from strategy through execution. Who You Are We're looking for someone who is excited by more than launching products. Someone who wants to shape markets, influence strategy, and help define how a new category is understood. • Think strategically, but naturally express ideas through stories. • You love turning strategy into action and are just as comfortable writing launch messaging, crafting campaign assets, and orchestrating execution as you are defining market strategy. • Get excited by translating complex technology, data, and clinical science into simple, compelling narratives. • Start with "Why does this matter?" before asking "How do we explain it?" • Thrive in ambiguity and enjoy building new markets and categories where no playbook exists.

About Spin.AI Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud. SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/ Position Summary: Spin.AI is looking for a Director of Product Management to lead our security product portfolio and take it to the next level. You will own two strategic, fast-growing products - our Browser Security solution and our SaaS DLP solution - and be the driving force behind their success in the market. This is an end-to-end leadership role: you will define the product vision, own the roadmap, stay ahead of the competitive landscape, and work hand-in-hand with engineering teams to turn strategy into products customers love. Above all, you will lead these products to scale - growing adoption, revenue and market position. If you are a business-minded product leader with deep security expertise who thrives in a fast-paced, high-growth environment, we want to talk to you. Role and Responsibilities: Product Vision, Strategy and Roadmap: • Own the product vision and long-term strategy, aligned with market trends, customer needs, and business objectives. • Conduct market research, competitive analysis, and customer interviews to identify product opportunities and define the product roadmap. • Collaborate with the executive team to prioritize features, releases, and investment areas. Customer Insight and Requirements: • Work closely with customers, sales, marketing, and other stakeholders to understand their needs, pain points, and desired outcomes. • Translate customer requirements into detailed product requirements, user stories, and acceptance criteria. • Collaborate with engineering and design teams to ensure the feasibility and usability of product features. Product Development and Execution: • Collaborate with cross-functional teams, including engineering, design, quality assurance, and operations, to develop and deliver high-quality products on time and within budget. • Lead agile product development processes, including sprint planning, backlog grooming, and release management. • Conduct regular product reviews, track progress, and address any issues or obstacles that arise during the development cycle. Market and Competitive Analysis: • Stay up-to-date with cybersecurity industry trends, market dynamics, and competitive landscape. • Conduct competitive analysis to identify differentiation opportunities and inform product positioning and pricing strategies. • Monitor customer feedback and market demands to continuously improve and evolve the product offerings. Product Launch and Go-to-Market: • Partner with marketing and sales on go-to-market strategy, including positioning, messaging, pricing and sales enablement. • Support product launches, customer demonstrations, webinars and training sessions. Product Performance and Optimization: • Monitor product performance and key metrics, analyze user feedback, and identify areas for improvement and optimization. • Collaborate with customer success teams to gather customer insights, track product usage, and gather feedback for future iterations. • Work with engineering teams to prioritize and address bug fixes, enhancements, and feature requests. Qualifications: • 7+ years of experience in product management roles at security companies. • Proven experience leading a Browser Security product. • At least one role leading a product at a fast-growing startup. • Experience leading the integration of multiple products into a unified platform or offering - a strong plus. • Strong understanding of cybersecurity concepts, technologies and market trends, familiarity with DLP and SaaS security - a strong plus. • Very strong business orientation - the ability to connect product decisions to revenue, growth and customer value. • Excellent analytical and problem-solving skills, with the ability to translate complex technical concepts into user-friendly solutions. • Track record of working closely with engineering teams and delivering high-quality products on time. • Strong leadership, collaboration and communication skills, with the ability to influence executives and cross-functional teams. • Familiarity with agile development methodologies and product management best practices and tools. • Bachelor’s degree in computer science, engineering, business or a related field (or equivalent experience). MBA preferred. Why join Spin.AI? This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years. Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills. EEO Statement Equal Opportunity Employer Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws. View The EEO is the Law poster and its supplement. Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via [email protected].

Description Minute is a global technology and content company built for the future of sports consumption. Minute’s proprietary technology platform enables the creation, distribution, and monetization of digital content experiences, powering Minute’s portfolio of trusted content brands, including Sports Illustrated, The Players' Tribune, and FanSided, as well as hundreds of sports leagues, teams, broadcasters, third-party publishers, and advertisers. The technology platform includes (i) STN Video, an online video platform (OVP) that provides access to a robust sports highlights rights portfolio. Minute is building the future of how the world connects with sport, powered by innovation, shared globally, and trusted by millions of fans and the partners we serve. For more information, visit www.minutegroup.com. The Role: Minute is looking for a Full-Stack Developer to play a key role in building and optimizing our in-house Video Management System (VMS) and the cutting-edge video player it powers, serving both B2B and B2C products. As part of a dedicated and passionate team, you'll build scalable backend services and high-performance frontend experiences that drive video delivery, user engagement, and monetization — working across the whole stack, from the APIs and tooling behind the scenes to the playback experience users see. On our team, the backend is written in Go and the frontend in vanilla JavaScript and React. AI tools (Claude, AI coding assistants, etc.) are an integral part of our development process. We are looking for a strong developer who's made these tools part of their workflow, using them to move faster while owning the thinking and the quality of what ships. Responsibilities: • Own our next-generation video experience end to end - building and maintaining features across our in-house VMS and video player, from backend delivery to frontend playback, with a focus on smooth performance, low latency, and high engagement. • Design and build the Go services, APIs, and data models that power the VMS and video delivery. • Develop and maintain web applications using vanilla JavaScript and React. • Write clean, maintainable, and testable code. • Participate in code reviews and contribute to improving coding practices within the team. • Collaborate with cross-functional teams, including designers, developers, and product managers, to deliver high-quality web solutions. • Thrive in an agile, fast-paced environment, moving fluidly between projects and priorities as they evolve. Requirements • 4+ years of experience as a full-stack developer. • Strong backend development skills, including building and consuming RESTful APIs and services. • Strong proficiency in vanilla JavaScript and React. • Working knowledge of relational databases, primarily MySQL. • Proficient in modern web technologies, including HTML5, CSS3, and version control tools such as Git. • Solid understanding of software design patterns and best practices across the stack. • Hands-on experience using AI tools (Claude, AI coding assistants, etc.) as part of your development workflow, with the judgment to review and verify what they produce. • Bachelor's degree in Computer Science (BSC) or an equivalent technical degree Advantages: • Hands-on experience with Go. • Exposure to additional data stores such as Redis, MongoDB, or OpenSearch. • Familiarity with AWS and CI/CD pipelines. • Knowledge of ad tech and experience with technologies such as programmatic advertising or related fields.

Description Minute is a global technology and content company built for the future of sports consumption. Minute’s proprietary technology platform enables the creation, distribution, and monetization of digital content experiences, powering Minute’s portfolio of trusted content brands, including Sports Illustrated, The Players' Tribune, and FanSided, as well as hundreds of sports leagues, teams, broadcasters, third-party publishers, and advertisers. The technology platform includes (i) STN Video, an online video platform (OVP) that provides access to a robust sports highlights rights portfolio. Minute is building the future of how the world connects with sport, powered by innovation, shared globally, and trusted by millions of fans and the partners we serve. For more information, visit www.minutegroup.com. The Role: We’re looking for an experienced, rigorous Data Scientist to join our monetization data team in Tel Aviv. You’ll lead dynamic price-floor optimization strategies for programmatic display advertising across our global inventory, build models and experiments that determine which on-page experiences we show each user, and develop strategies to maximize user lifetime value while strengthening engagement and retention. You’ll also shape and manage the roadmap for our internal experimentation platform, enabling rigorous testing across the business. This is publisher-side data science, focused on our own audiences and those of our partners. The bar that matters most here is measurement, proving credibly that a change actually moved revenue before it ships. Responsibilities: • Design and build models for supply-side monetization optimization, user lifetime-value, retention, and ARPU predictions, while measuring revenue impact. • Analyze large-scale event data and maintain metric foundations. • Partner with cross-functional teams to deploy models into production. • Communicate findings and business impact to stakeholders. • Provide technical leadership and mentorship. • Monitor industry trends in programmatic advertising and ad-tech. Requirements • 4+ years in data science / ML applied to a data-heavy, revenue-facing domain - ad-tech, programmatic monetization, marketplaces, pricing, or a comparable real-money optimization problem. • Strong causal-inference and experimentation skills. This is the core of the role. • Fluent SQL on large event datasets and hands-on Python for modeling and analysis. • Solid grounding in the relevant ML families - regression, tree-based models, online optimization / multi-armed & contextual bandits, and classification/segmentation. • In-depth understanding of programmatic advertising from the supply side - RTB, auction mechanics, header bidding, price floors, and how publisher yield is actually made. • Ability to design experiments that measure model effectiveness in production, and to own the definitions (metrics, identity, attribution) they rest on. • Experience integrating models into production systems with engineering, in a fast, iterative environment. • Proven ability to architect and scale models processing high-volume, real-time event streams. • Excellent communication - able to turn a complex monetization result into a clear recommendation a non-technical stakeholder can decide on. • Fluent English, written and spoken. Advantageous: • Hands-on experience with publisher-side monetization/yield optimization, header bidding, or price-floor / seller-side auction optimization specifically. • Familiarity with the Prebid stack (client & server). • Subscription/membership/LTV modeling - retention, churn, and balancing recurring revenue against ad revenue. • Working knowledge of GA4 / behavioral analytics and first-party identity resolution. • Prior experience mentoring or leading a small data-science team. Benefits: • Career development opportunities & different skill-based workshops are offered each quarter. • Gradual return from parental leave. • Fun company events and celebrations. • Community involvement opportunities, both in-person and remote. We're not sure you're 100% qualified, but are you up for the challenge? We want you to apply! Minute is committed to creating a diverse and inclusive work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Check the URL and email address of any correspondence with Minute. If it is not from @minutegroup.com, treat it as fraudulent. To learn how to protect yourself from recruitment fraud, click here.

Description AI moved attackers faster than human-paced defense cycles can absorb, and pushed exposure data past what any team can triage by hand. Our platform runs AI agents that investigate on their own, verify whether existing controls neutralize the risk, and return a validated case with root cause, owner and remediation. How those agents earn a security team's trust - what they decide alone, what they escalate, what evidence they show - is unsettled across the industry, and what gets built now sets the pattern. Security teams own thirty tools and still can't say which threats those tools actually stop. Nagomi answers that question. We connect read-only to the stack a company already runs - CrowdStrike, Microsoft, Okta, Qualys, 40+ more - and build a live model of what's exploitable, what's already covered, and what to fix first. As the Product Manager, you'll own a key domain of the platform end-to-end: vision, strategy, roadmap, specs, delivery, adoption. Direct work with CISOs, detection engineers and SOC teams, and what you decide from those conversations ships. Reports to the VP Product. Responsibilities: • Set the strategy and roadmap for your domain, and own what it delivers. You decide what gets built, what waits, and what we drop. • Spend real time with customers and prospects. Sit in their environment, watch how their team works, find the problem behind the request. • Write the specs and work with engineering and design through delivery. Stay in it until it ships and people use it. • Build the narrative for what you ship - the value story a CISO repeats to their board, not a feature list. Sales, marketing and CS should be able to sell it from your words. • Bring your product to market with sales and marketing, then track adoption and come back with the next round of decisions. • Watch the market: competitors, new threats, how CTEM and agentic security keep shifting. Turn that into where we go next. Requirements • 4+ years in product management, with at least 2 building cybersecurity products. • Strong technical background. You can go deep with engineers on architecture and trade-offs, and hold your position. • A track record of products that practitioners kept using - measured by daily use, not by the logo count. • Works well across R&D, sales, marketing and customers - different people, different languages, same goal. • Builds narrative. Sells the value, not the feature. • Writes clearly, decides with incomplete information. It’s nice if you have • Hands-on background in security operations, detection engineering or offensive security is a plus.

Description Security teams are not short on tools. They are short on time, alignment, and the ability to actually close exposure. That's why most breaches could have been prevented with a tool that was already in use. Nagomi was built to change that. We are the first Agentic Exposure Ops Platform, designed to prevent the preventable breach by turning fragmented signals into coordinated action. Our agents investigate risk, drive remediation, and verify that issues stay closed, continuously, without adding overhead. This is not another dashboard. It is a new way for security to operate. Recognized by Gartner® as a Cool Vendor in ASCA, Nagomi is helping organizations move from reactive workflows to continuous execution, replacing manual effort with systems that actually move the work forward. We are building something category-defining. The kind of shift people point back to later and say, "that changed how this works." The Role  We are looking for a Growth Marketing Lead who wants to build, not maintain. Someone who sees demand generation as more than channels and metrics, and who will build our entire marketing program with AI at its core. This is not about using AI as a side tool. It is about designing how we generate demand, create content, reach buyers, and measure impact around what AI makes possible today. You will shape how Nagomi shows up, how we break through, and how we convert momentum into revenue. What You'll Drive • Build an AI-Native Marketing Engine — Design programs, workflows, and team practices where AI is central to how we plan, create, and scale • Create Pipeline That Matters — Build integrated campaigns that generate real pipeline and accelerate deals, not just activity • Bring Big Ideas to Market — Turn bold messaging into campaigns people notice, remember, and act on • Own the Full Funnel — From first impression to closed deal, influence how prospects move and why they convert • Connect Teams and Execution — Work across product marketing, sales, SDRs, and field to keep everything in sync • Turn Insight into Action — Use data and AI to refine, improve, and scale what works, fast Requirements What You Bring • A track record of building pipeline in B2B SaaS • Background working at cybersecurity companies, with a solid understanding of the market and buyer • Hands-on fluency with AI tools and a strong point of view on how they change marketing • Strategic thinking paired with the ability to execute without waiting for perfect conditions • Strong instincts for messaging, positioning, and what resonates in market • Experience working closely with sales and owning outcomes, not just outputs What Sets You Apart • You think in systems, not one-off campaigns • You push for ideas that stand out, not blend in • You treat AI as a core capability to build around, not a trend to follow • You focus on impact, not activity

Description Security teams are not short on tools. They are short on time, alignment, and the ability to actually close exposure. That's why most breaches could have been prevented with a tool that was already in use. Nagomi was built to change that. We are the first Agentic Exposure Ops Platform, designed to prevent the preventable breach by turning fragmented signals into coordinated action. Our agents investigate risk, drive remediation, and verify that issues stay closed, continuously, without adding overhead. Nagomi is helping organizations move from reactive workflows to continuous execution, replacing manual effort with systems that actually move the work forward. At Nagomi, engineering isn't a service function it's where product happens. We're looking for a Fullstack (Product) Engineer who lives at the intersection of craft and product sense:You care as much about why we're building something as how it feels in the user's hands. You're an engineer who connects naturally with other engineers, and who enjoys mentoring and ramping up the people around you. You'll own experiences end-to-end from the first PRD conversation to the KPI dashboard weeks after ship. You'll shape our component library, raise the bar on our frontend infra, and help define what "good" looks like across the R&D org. This isn't a role where you get handed pixel-perfect mocks and a closed ticket. You'll have opinions, and we'll want to hear them. What you'll do • Craft the experience. Design and build polished, performant UI in Vue 3 (Composition API) from the tiny interaction details to the data layer behind them. • Own the full journey of a feature. Partner with Product on the PRD, define the KPIs that actually matter, ship it, then track whether it moved the needle and iterate honestly if it didn't. • Shape the component library. Evolve our patterns, primitives, and the infra that lets the whole team build faster without sacrificing quality or consistency. • Go full-stack when it counts. Write Node (NestJS) services and work across our data stack (Postgres, Snowflake, ClickHouse) to deliver features truly end-to-end. • Push AI-assisted development forward. Build the guardrails, skills, and workflows that let engineers contribute code quickly and safely you'll help make AI a force multiplier for the whole team, not a liability. • Raise the bar org-wide. Your taste in UX, and code quality should ripple well beyond your own team. Requirements What we're looking for • 5+ years of full stack development ( frontend, backend, db) • Deep frontend expertise and a genuine passion for the user journey and UX you sweat the details most people skip. • Solid backend knowledge (NestJS) and comfort moving across a modern data stack. • A track record shaping SaaS product experiences: design systems, component libraries, frontend architecture, and the best practices and infra that hold them together. • Real product instinct is comfortable inside a PRD, opinionated about KPIs, and honest about whether a feature actually succeeded. • Someone who wants to shape the wider R&D org, not just close tickets you see the system, not just the screen. Bonus points • Experience building or scaling design systems at a fast-growing SaaS company. • An eye for performance, accessibility, and the craft that separates "it works" from "it's delightful." Why here? We're a small, high-trust R&D org where a single engineer can define how thousands of security teams experience the product. If you want your fingerprints on the whole thing the UX, the infra, the way we build this is that seat.

Description About Nagomi Security teams are not short on tools. They are short on time, alignment, and the ability to actually close exposure. That's why most breaches could have been prevented with a tool that was already in use. Nagomi was built to change that. We are the first Agentic Exposure Ops Platform, designed to prevent the preventable breach by turning fragmented signals into coordinated action. Our agents investigate risk, drive remediation, and verify that issues stay closed, continuously, without adding overhead. Nagomi is helping organizations move from reactive workflows to continuous execution, replacing manual effort with systems that actually move the work forward. The Opportunity As a Senior Security Researcher, you will bridge our core research initiatives at the intersection of proactive exposure management, agentic workflows, and scalable threat modeling. We are looking for an innovator who translates complex security data into product-driven features, taking full ownership from concept to production. What You'll Do • Drive Product-Led Research: Translate complex, real-world security challenges into actionable, product-driven research. Take full ownership of research projects end-to-end, from identifying the security gap to collaborating with engineering to ship platform features. • Drive Proactive Exposure Management: Leverage Automated Security Control Assessments (ASCA) alongside vulnerability evaluation and prioritization to holistically assess organizational risk. Deep dive into enterprise security tools (EDR, SIEM, Firewalls, IAM, etc.) to analyze configurations, map defensive capabilities, and continuously evaluate their effectiveness against real-world threats. • Build Security Tool Integrations: Drive the technical research and define the data models required to actually build deep, functional integrations into diverse security platforms, ensuring the accurate extraction of telemetry, policies, and configuration data. • Build AI & Agentic Workflows: Define, design, and implement the logic and knowledge base that feeds Nagomi's AI-powered agents, ensuring they deliver accurate, context-aware security guidance and automated risk assessments. • Map Attack Paths: Define realistic attack flows, identify toxic combinations of misconfigurations, and surface the security gaps that help customers prioritize the risks that actually matter. • Engage with Customers: Work directly with customers to help them understand their exposure, translate your research findings into meaningful posture improvements, and gather feedback to drive product innovation. • Cross-Functional Collaboration: Partner closely with product, engineering, and data teams to embed security insights into everything we build. Requirements • Experience: 5+ years of hands-on experience in cybersecurity research, exposure management, vulnerability analysis, or threat intelligence. • Product Mindset: Strong ability to tackle projects end-to-end, translating theoretical security research into tangible product features and automated detection logic. • Broad Security Knowledge: Deep understanding of enterprise security tools (EDR, NDR, SIEM, VM, etc.), network topology, and how security components interact to impact network posture. • AI/Agentic Expertise: Proven experience building or heavily shaping AI-powered systems and agentic workflows. You must be able to point to concrete examples where you have integrated LLMs or AI processes to solve complex technical problems. • Attacker's Perspective: Solid foundation in how adversaries think, move laterally, and exploit enterprise environments, paired with expertise in leading vulnerability prioritization standards (MITRE ATT&CK, CISA KEV, EPSS). • Communication: Strong communication skills with demonstrated experience working directly with customers, stakeholders, and cross-functional engineering teams. It’s nice if you have • Experience collaborating with data science, data engineering, or analytics teams to structure security datasets and build scalable intelligence pipelines. • Published research, CVEs, conference talks, or open-source contributions.

Description As Security Research Team Lead at Nagomi, you will lead the team turning security research and enterprise security data into actionable insights and product capabilities. You will combine people management with hands-on technical leadership, helping customers understand their exposure and get more value from their security tools. We’re looking for a leader with a strong background in cybersecurity research, deep understanding of enterprise security tools, and a data-driven approach to solving problems. You should be equally comfortable mentoring researchers, shaping a research roadmap, and joining customer calls to explain findings and understand real-world challenges. What You'll Do • Lead and Develop the Team: Manage, mentor, and grow a team of security researchers. Set clear goals, provide technical guidance and feedback, and build a culture of rigor, curiosity, and ownership. • Own the Research Roadmap: Define and prioritize research initiatives in partnership with product and engineering. Balance customer needs, emerging threats, and strategic opportunities, taking projects from initial investigation through production delivery. • Drive Security Tool Research: Lead deep research into enterprise security platforms, including EDR, SIEM, firewalls, IAM, and vulnerability management tools. Assess configurations, policies, coverage, and defensive capabilities to identify gaps and improve security effectiveness. • Engage Directly with Customers: Lead technical customer discussions, explain findings clearly, investigate complex questions, and turn feedback into research and product improvements. • Turn Data into Security Insights: Guide how the team collects, models, correlates, and validates security data. Translate fragmented telemetry and configuration data into reliable assessments, prioritized findings, and actionable recommendations. • Shape Integrations and Product Capabilities: Own the research requirements and security logic behind integrations, security control assessments, and exposure prioritization. Work closely with engineering to ensure research translates into accurate, scalable product features. • Set Research Quality Standards: Establish methods for validating findings, testing assumptions, and measuring accuracy. Ensure conclusions are supported by evidence and recommendations account for customer context and operational constraints. • Guide AI-Powered Research and Workflows: Shape the security knowledge, reasoning logic, and evaluation methods behind Nagomi’s AI-powered capabilities, ensuring outputs are accurate, explainable, and useful. • Partner Across Nagomi: Collaborate with product, engineering, data, and customer-facing teams to align priorities, resolve technical challenges, and deliver meaningful customer outcomes. Requirements • Leadership Experience: Proven experience managing security researchers or a closely related technical team, including mentoring, performance management, and project delivery. • Cybersecurity Research Expertise: 6+ years of relevant hands-on experience in cybersecurity research, security control assessment, detection engineering, exposure management, or related fields. • Deep Security Tool Knowledge: Strong understanding of enterprise security platforms, their APIs, configuration models, policies, and telemetry. Ability to evaluate what a tool can protect against, how it is deployed, and where gaps remain. • Data-Driven Research Skills: Experience working with complex security datasets, defining data models, and correlating information across sources. Comfortable using Python, SQL, or similar tools to investigate data, test hypotheses, and validate research at scale. • Technical Judgment: Ability to challenge assumptions, review research methods and results, and guide the team through ambiguous problems while staying close to the technical details. • Product and Delivery Mindset: A track record of turning research into practical capabilities, setting priorities, managing dependencies, and delivering projects end-to-end. • Customer-Facing Communication: Ability to lead technical customer calls, ask thoughtful questions, and explain complex findings to both security practitioners and non-specialist stakeholders. • Broad Security Foundations: Understanding of attacker techniques, enterprise environments, cloud and identity security, and how security controls work together to reduce risk. It’s nice if you have • Hands-on red teaming, penetration testing, adversary emulation, or attack-path analysis experience. • Experience building or evaluating AI-powered security capabilities and agentic workflows. • Experience with Automated Security Control Assessments (ASCA), exposure management, or security control validation. • Experience collaborating with data engineering or data science teams on security data pipelines and analytics. • Experience hiring and scaling a research team. • Published research, open-source contributions, CVEs, or conference presentations.

Description Money is becoming software. That changes everything about how it has to be protected. Stablecoins, tokenized assets, and payments made by AI agents are moving real value at machine speed. That’s where Blockaid comes in. We build the security technology behind how money moves. Coinbase, MetaMask, Uniswap, and many of the largest platforms moving money today rely on us to screen billions of transactions and stop fraud, scams, and hacks before they reach a single user. We’re backed by investors including Sequoia Capital, Ribbit Capital, and Cyberstarts, firms behind some of the biggest names in cybersecurity. We're looking for an IT Manager to own how Blockaid works day to day: how people get access, how their machines operate, how the network runs, and how the offices function. What You'll Do: • Help Desk & Support. Serve as the single point of contact for all IT support. Handle everything from day-to-day access requests and software hiccups to laptop troubleshooting, ensuring the team gets fast, hands-on help directly from you. • Identity. Own Okta as our primary IdP. Automate the full joiner-mover-leaver lifecycle from HiBob into every downstream app, and own SAML and OIDC integrations, SCIM provisioning, and adaptive MFA policies. Access should be a function of someone's role, not a ticket. • Endpoints. Own our Apple fleet in Jamf Pro: zero-touch enrollment, configuration profiles, patch policies, and scripted deployments. A new hire's Mac should be compliant and fully configured before they open it. • Network and offices. Own the firewall and wireless infrastructure end to end: policies, VPN, segmentation, 802.1X, and zero-trust remote access. Own every meeting room too, including Meet and Zoom hardware, displays, booking, and cabling, and standardize the build so a new office is a deployment rather than a project. • SaaS. Primary admin for Google Workspace, Slack, Notion, Linear, GitHub, and dozens more. Integrate through APIs and webhooks rather than manual sync, and drive license and vendor consolidation. • Automation and AI. Treat every recurring manual task as a bug. Write code against the Okta, Jamf, Google Workspace, and HiBob APIs, and use LLM tooling, coding agents, and MCP integrations to build support workflows that resolve requests without a human in the loop. • Security and compliance. Partner with Security on zero-trust access, patch remediation, access reviews, and automated evidence for SOC 2 and ISO 27001. Support incident response with the logs and device actions the team needs, fast. Requirements • 2-3 years experience running IT in a fast-paced environment. • Experience supporting and troubleshooting macOS environments - a must. • A strong service mindset and the ability to independently manage and resolve everyday tech issues end-to-end. • Deep hands-on Okta: lifecycle management, group rules, SAML and OIDC, SCIM, and authentication policies. • Advanced Jamf Pro engineering and macOS troubleshooting at the command line. • Real network experience: firewalls, controller-based wireless, VLANs, VPN, and 802.1X. • Google Workspace administration in depth, plus experience owning conference room AV. • Strong scripting and comfort working straight against REST APIs. You should be able to read an API doc and have something working the same day. • Demonstrated use of AI tools to ship real work.

Description Money is becoming software. That changes everything about how it has to be protected. Stablecoins, tokenized assets, and payments made by AI agents are moving real value at machine speed. That’s where Blockaid comes in. We build the security technology behind how money moves. Coinbase, MetaMask, Uniswap, and many of the largest platforms moving money today rely on us to screen billions of transactions and stop fraud, scams, and hacks before they reach a single user. We’re backed by investors including Sequoia Capital, Ribbit Capital, and Cyberstarts, firms behind some of the biggest names in cybersecurity. We’re seeking an experienced Senior DevOps Engineer to design and operate scalable, secure infrastructure and provide hands-on guidance to development teams. What you'll do: • Design, implement, and maintain highly available infrastructure on AWS and EKS. • Operate and secure Kubernetes environments, including workloads, networking, access controls, secrets, and cluster lifecycle. • Build and maintain reusable infrastructure using Terraform. • Develop secure and reliable CI/CD pipelines using GitHub Actions. • Improve developer experience through automation, self-service tooling, and efficient deployment processes. • Build observability using Datadog and OpenTelemetry, define actionable alerts, and support incident investigation and response. • Own infrastructure security across IAM, vulnerability remediation, CI/CD, software supply chain, and cloud configuration, using tools such as Wiz. • Improve platform reliability, performance, scalability, and cost efficiency. • Maintain Blockaid’s availability by participating in DevOps and security on-call shifts. Requirements • 5+ years of experience in DevOps, DevSecOps, or Platform Engineering. • Strong Linux experience and scripting or development skills in Python or Go. • Production experience with AWS, EKS, and Kubernetes. • Hands-on experience securing cloud and Kubernetes environments. • Experience with Terraform and infrastructure-as-code practices. • 3+ years of experience with CI/CD processes and tools, preferably GitHub Actions. • Strong knowledge of IAM, networking, secrets management, and workload security. • Experience with vulnerability management and cloud security tools such as Wiz. • Experience with Datadog, OpenTelemetry, log analytics, and distributed tracing. • Experience designing and maintaining highly available, large-scale SaaS environments. • Experience handling production and security incidents. • Strong ownership, collaboration, and customer-centric approach.

Description Money is becoming software. That changes everything about how it has to be protected. Stablecoins, tokenized assets, and payments made by AI agents are moving real value at machine speed. That’s where Blockaid comes in. We build the security technology behind how money moves. Coinbase, MetaMask, Uniswap, and many of the largest platforms moving money today rely on us to screen billions of transactions and stop fraud, scams, and hacks before they reach a single user. We’re backed by investors including Sequoia Capital, Ribbit Capital, and Cyberstarts, firms behind some of the biggest names in cybersecurity. As a Security Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across Blockaid. Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction. What You'll do: • Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights. • Develop scalable data processes and infrastructure to support internal stakeholders. • Build and maintain dashboards, reports, and KPIs to monitor and improve company performance. • Translate business questions into analytical models and craft compelling data visualizations that “tell the story.” • Partner with cross-functional teams to understand business needs and design data-driven solutions. Requirements • 5+ years of Data/Security Analytics experience, with a solid foundation in cybersecurity or forensic research (required). • Advanced technical skills: Expert-level SQL for complex queries and high proficiency in Python (must-have). • Familiarity with data visualization platforms (Tableau, Looker, etc.) to build impactful dashboards (advantage). • Analytical Mindset: A sharp eye for detail and a passion for solving complex, ambiguous data puzzles. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Blockaid is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Description Money is becoming software. That changes everything about how it has to be protected. Stablecoins, tokenized assets, and payments made by AI agents are moving real value at machine speed. That’s where Blockaid comes in. We build the security technology behind how money moves. Coinbase, MetaMask, Uniswap, and many of the largest platforms moving money today rely on us to screen billions of transactions and stop fraud, scams, and hacks before they reach a single user. We’re backed by investors including Sequoia Capital, Ribbit Capital, and Cyberstarts, firms behind some of the biggest names in cybersecurity. We're looking for a Fullstack Engineer to join our growing R&D team and play an active role in building and scaling core components of our product. You'll work across the stack - React and TypeScript on the frontend, Python on the backend - owning features end-to-end What You'll Do: • Spearhead feature development from requirements to delivery • Participate in all phases of the software development lifecycle within an agile framework • Maintain high standards for code quality, scalability, readability, and performance • Take ownership of the product, tech stack, and development processes Requirements • Minimum 4 years of experience in modern Fullstack technologies • Strong proficiency in TypeScript and React, or other web frameworks and Python on the backend • Experience writing unit tests • Experience addressing performance issues, both in web apps and backend systems • Familiarity with state management libraries • Ability to solve complex technical challenges with autonomy, strong design sense, and analytical skills • A mindset that challenges the status quo, always seeking workflow improvements • Proficiency in creating and maintaining reusable, maintainable components • Experience writing unit tests • Ability to learn and adapt to new technologies and languages

Who are we? Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and data-driven performance media to enable smarter decision-making, increased efficiency, and maximized ROI for businesses worldwide. Our platform helps manage approximately $10B in annual ad spend through partnerships with Google, Meta, Amazon, Microsoft, and others. Founded in 2006, Skai is a global company with around 650 employees. We operate in a hybrid work model that combines remote flexibility with in-office collaboration. What will you do? As an AI Engineer, your primary focus will be delivering working features while adopting a Builder Mindset to shape the future of software development at Skai. You will leverage cutting-edge GenAI tools (such as Claude Code and others) to accelerate development, streamline workflows, and bring high-quality, production-ready features to life. In this role, you will work closely with PMs, designers, and fellow engineers across frontend, backend, and data domains. You will use AI to tackle complex debugging, conduct research, and eliminate repetitive tasks—continuously improving your productivity while delivering functional, impactful features within your pod. Responsibilities: Feature Delivery: Own and deliver working features from end to end, contributing production-ready code with guidance and driving tangible product value. AI-Accelerated Development: Utilize GenAI tools (e.g., Claude Code) to accelerate feature development, improve personal productivity, and optimize daily workflows. Problem Solving & Debugging: Leverage AI for rapid debugging, technical research, and reducing repetitive manual work during feature delivery. Cross-Domain Collaboration: Build a solid understanding across product, frontend, backend, and data domains, collaborating effectively with PMs, designers, and engineers. Context & Documentation: Document technical decisions clearly and contribute to building shared team context and knowledge bases. Continuous Learning & Adaptability: Learn the tech stack quickly, adapt smoothly to new tools/workflows, and actively apply feedback to grow as a builder. Pod Reliability: Act as a dependable, collaborative contributor within your pod, helping drive team momentum and execution. Requirements 2–5 years of experience in software development. Relevant Academic Degree (B.Sc. in Computer Science, Software Engineering, or related fields) OR Relevant Military Experience (e.g., tech/intelligence units such as 8200, Mamram, Ofek, etc.). Builder Mindset: Strong passion for GenAI tools (such as Claude Code, etc.) and a proven desire to integrate them into daily coding workflows. Ability to quickly learn new tech stacks, adapt to changing tools, and translate feedback into rapid growth. Strong cross-domain curiosity - eager to understand product context, backend logic, frontend UX, and data flow. Excellent communication skills and a strong collaborative mindset in a hybrid working environment.

Who are we? Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and data-driven performance media to enable smarter decision-making, increased efficiency, and maximized ROI for businesses worldwide. Our platform helps manage approximately $10B in annual ad spend through partnerships with Google, Meta, Amazon, Microsoft, and others. Founded in 2006, Skai is a global company operating in a hybrid work model that combines remote flexibility with in-office collaboration. We continuously modernize our stack to handle commerce decisions at a massive global scale. What will you do? As the Infrastructure Engineering Lead, you will own the technical direction, architecture, and delivery of Skai's core production data infrastructure (MySQL, SingleStore, Snowflake, Airflow, and Microservices). In this role, you will balance in-house, open-source, and SaaS solutions to manage petabyte-scale data while ensuring system reliability, scalability, and cost-efficiency. You will blend hands-on engineering, technical architecture, vendor management, and team mentorship. You will lead cross-functional delivery, drive operational excellence across a 24/7 production environment, and set engineering guardrails for cloud-based data systems across the company. Responsibilities: Technical Leadership & Architecture: Set engineering guardrails, lead architectural reviews, lead the pod's daily, and balance design tradeoffs for cloud-based data systems across all business units. Execution & Delivery: Own the pod's Scrum processes (epics, stories, tracking), balance technical debt management with rapid feature delivery, and drive multi-project execution. Hands-on Engineering & Escalations: Stay active in code and infrastructure, serving as the primary technical escalation point for complex, 24/7 production issues. Ops, High Availability & Reliability: Oversee operational readiness, rotation schedules, high availability (HA), backup and recovery processes, and automation to maintain 24/7 production uptime. Mentorship & Team Culture: Raise the technical bar, foster a culture of engineering excellence, mentor team members, and drive professional growth within the pod. Stakeholder & Vendor Alignment: Act as a strategic partner to align roadmap planning, bridge technical execution with business goals, and serve as the main point of contact for data infrastructure vendors. Requirements 5+ years of proven experience in a DBA, DevOps, DataOps, or Data Engineering role with deep hands-on ownership of production databases (e.g., MySQL, SingleStore, PostgreSQL). Proven track record in designing, operating, and maintaining large-scale data infrastructure (capacity planning, performance tuning and upgrades, monitoring, CI/CD (Jenkins/GHA/ArgoCD)). Strong software engineering capabilities in Python, Java, or Go within a microservices architecture, as well as Bash scripting. Hands-on expertise with Linux environments and at least one major cloud provider (AWS preferred). Demonstrated experience in leading technical design reviews, setting engineering guardrails, and mentoring engineers. Strong analytical problem-solving skills with a data-informed approach to resolving complex, cross-system production issues in a 24/7 environment. Exceptional communication, teamwork, and stakeholder management skills. Advantages: Experience with modern Big Data technologies at scale (e.g., Snowflake, Kafka, Spark). Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or Ansible. Previous experience as a Tech Lead, Team Lead, or Acting Lead on a mission-critical production team. Working with AI tools / integrating AI into engineering and operational workflows.

About Skai Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and machine learning to combine data intelligence with performance media, enabling smarter decision-making, increased efficiency, and maximized returns for businesses around the world. Its partners include Google, Meta, Amazon, Microsoft, and more. Approximately $10 billion in ad spending is managed on the Skai platform every year. Established in 2006, we're 700 employees strong. We work hybrid, with a great home/office mix. What will you do? As the Senior DevOps Architect, you will own the architectural direction of Skai's cloud infrastructure, engineering platforms, and developer experience across our Cloud and DevEx groups. Combining infrastructure expertise with hands-on software engineering, you will turn business and engineering needs into technical roadmaps and production solutions, including AI services and agents for internal and external-facing systems. As part of your work you will be responsible for: Own the technical roadmap and architecture across DevOps and DevEx, establish shared standards, and lead initiatives from design to production through hands-on implementation. Architect scalable, secure, and resilient cloud infrastructure, covering Kubernetes, networking, infrastructure as code, and modernization. Design shared platforms and self-service workflows that simplify development, CI/CD, deployment, and troubleshooting. Define architectural standards for observability, availability, disaster recovery, and capacity planning. Architect and contribute to production AI services and agents, including system integration, evaluation, security, and reliable operation. Align priorities with R&D, Product, and Security, resolve cross-team dependencies, and mentor engineers and technical leads. Requirements 3+ years experience as DevOps Architect, owning architecture and leading technical initiatives across multiple teams, with 8+ years of overall experience in infrastructure, DevOps, platform engineering, or software engineering. 5+ years of hands-on programming experience in languages such as Python, Go, or Java, including designing and maintaining production services, APIs, or shared engineering tools. Demonstrated experience architecting distributed production systems, including defining service boundaries, selecting technologies, documenting trade-offs, and leading implementation and migration. Deep expertise in at least one major cloud platform AWS, GCP, or Azure and hands-on experience with Kubernetes, infrastructure as code tools such as Terraform, and CI/CD or GitOps tooling such as Jenkins, GitHub Actions, or Argo CD. Experience designing developer platforms, reusable infrastructure components, and self-service workflows adopted by multiple engineering teams. Strong understanding of networking, cloud security, observability, high availability, and disaster recovery, supported by experience operating and troubleshooting production systems. Proven experience building and deploying AI services and agents to production, including model integration, orchestration, tool calling, evaluation, and integration with internal or external systems. Experience defining technical requirements with stakeholders, presenting architectural proposals, and leading cross-team decisions through implementation and adoption. Advantages: Experience designing and operating data infrastructure, including streaming, workflow orchestration, and large-scale processing with technologies such as Kafka, Airflow, or Spark. Experience with database, data warehouse, or data lake architecture and operations, including performance tuning, capacity planning, backup and recovery, and data reliability. Experience building shared AI platforms or delivering both internal automation agents and customer-facing AI services.

Who are we? BlazePod is an innovative sports-technology leader dedicated to revolutionizing how athletes, fitness enthusiasts, and trainers enhance performance. Our cutting-edge ecosystem seamlessly integrates hardware and software, leveraging a high-performance mobile application to deliver dynamic, interactive training experiences that empower users worldwide to reach their peak potential. What are we looking for? We are seeking a visionary and results-driven Senior Product Manager to drive the evolution and expansion of our product ecosystem, with a primary focus on our mobile platform. In this role, you will define product strategy, champion user-centric innovation, and integrate next-generation capabilities to shape the future of sports and fitness technology. This position reports directly to the Chief Product Officer (CPO). What will you do? Product Strategy & Vision Define, articulate, and execute the product vision, strategy, and roadmap aligned with long-term business objectives and key performance indicators. Conduct rigorous market research, competitive analysis, and user feedback synthesis to identify high-impact growth opportunities. Product Execution & Lifecycle Management Partner with cross-functional R&D, engineering, UI/UX, and QA teams to prioritize, scope, and deliver high-quality features. Author comprehensive product specifications, user stories, and acceptance criteria with a focus on seamless mobile user experience. Maintain a predictable, high-velocity release cycle ensuring quality, scalability, and performance. User Experience & Analytics Analyze product usage metrics, retention funnels, and qualitative research to continually optimize app engagement. Establish critical KPIs and operational metrics to measure feature success and evaluate business impact. Monetization & Cross-Functional Leadership Take full end-to-end ownership of your product domain, driving execution and decision-making to meet defined KPIs and success goals, which you will define together with the CPO based on the company strategy. Drive monetization initiatives and subscription models to ensure strong, scalable revenue growth. Requirements 4-6 years of product management experience delivering successful B2C products/apps in a high-growth startup or tech environment. Proven track record of managing end-to-end mobile app lifecycles across iOS and Android platforms. Demonstrated success leading cross-functional Agile squads to launch impact-driven products. Strong analytical capabilities with deep experience in A/B testing, user funnels, and data analytics tools. Proven ability to drive full end-to-end domain ownership and execution based on defined KPIs and success goals under executive leadership. Exceptional UX/UI sensibilities with a strong focus on building user-centric, intuitive interfaces. Proficiency in leveraging AI tools to enhance personal and team efficiency. Outstanding written and verbal communication skills in both English and Hebrew. Nice-to-Haves (Bonus) Hands-on experience integrating Generative AI features into product workflows and user experiences. Passion for sports and fitness, with prior experience working in Health/Fitness tech, IoT, or a connected hardware/software ecosystem. What We Offer Hybrid Work Model: We value flexibility and collaboration, offering a hybrid work environment to balance focused time and team connection. Impactful Work: The opportunity to shape a product that directly enhances the performance and health of athletes worldwide. Professional Growth: Be part of a dynamic, high-growth environment where you can develop your skills and advance your career.

Shopic is a leading AI company specializing in cutting-edge solutions for the retail industry. We develop advanced AI technologies that transform in-store shopping experiences, helping retailers optimize operations, enhance customer engagement, and drive growth. Our products harness computer vision, real-time data analytics, and powerful AI models to provide seamless, innovative solutions tailored to the needs of modern grocery and retail chains worldwide. Based in Tel Aviv, 4 times a week from the office, we are deployed in major grocery brands globally and employ some of the brightest minds in AI and Computer Vision. We're looking for a product-minded Full Stack Engineer who loves solving complex engineering challenges and building AI-powered products used daily by thousands of shoppers worldwide. You'll work side-by-side with AI tools and cutting-edge computer vision technology, shipping features end-to-end with real ownership and impact. You'll collaborate not only with engineers, but also with AI-powered development tools as part of your daily workflow. About The Role Own features end-to-end — from product discussions through design, implementation, testing and production. Design scalable backend services and intuitive frontend experiences. Collaborate closely with Product, Data, Algorithms and Computer Vision teams. Use AI-assisted development tools to accelerate delivery while maintaining high engineering standards. Continuously improve system architecture, performance and developer experience. Investigate complex production issues and drive long-term solutions. Contribute to technical decisions and architecture discussions. Your Experience & Skills 4+ years building production-grade applications. Strong Python experience. Experience with React and modern JavaScript/TypeScript. Strong understanding of software architecture and scalable system design. Experience working with SQL or NoSQL databases. Experience using Git and modern CI/CD workflows. Comfortable working with AI-assisted development tools as part of the software development lifecycle. Why you'll love working here Build products powered by cutting-edge Computer Vision and AI. Real ownership over features from idea to production. Work alongside experienced engineers in a fast-moving startup. Daily use of modern AI development tools. Solve real-world engineering challenges at global scale. Build products that transform the way millions of people shop.

At Lusha, we're building for builders. We build fast and AI-first - so we look for builders.By a builder, we mean someone who turns "maybe" into "done". We're looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how Lusha measures success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance. You'll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company. Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role. This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office. This might be for you if: You enjoy owning data foundations end to end — from raw data to semantic layers You like turning ambiguous business questions into clear, governed metrics You care about data quality, performance, and trust at scale You enjoy mentoring, setting standards, and leading by example You actively leverage AI tools to improve development speed and analytical accuracy Requirements 5+ years of experience in BI / Data Engineering roles with ownership of scalable data platforms Deep experience with modern data stacks (Snowflake or Databricks, dbt) Advanced SQL and Python skills, including data quality, CI/CD, and observability Strong understanding of dimensional modeling, data warehousing, and semantic layers Experience with orchestration tools (Airflow) and large-scale data processing Proven experience using GenAI tools as part of your day-to-day development workflow A strong builder mindset, business orientation, and ability to lead cross-functional initiatives Nice to have: Experience with streaming technologies (Kafka, Spark)