Upwind Security

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We’re looking for a talented Research Software Engineer to join our Security Research group. In this role, you’ll build the engineering foundation behind our research initiatives, transforming innovative security ideas into scalable, production-ready capabilities. Working closely with security researchers and product teams, you’ll develop and maintain the infrastructure, services, and tools that power next-generation Attack Surface Management (ASM), offensive security research, cloud security analysis, and autonomous security workflows. This role is ideal for a software engineer who enjoys solving challenging technical problems, building reliable systems, and working at the intersection of software engineering and cutting-edge cybersecurity research. Responsibilities • Design, develop, and maintain production-grade services, tools, and infrastructure that support the Security Research team. • Collaborate closely with Security Researchers to translate research prototypes into robust, maintainable production features. • Build reliable APIs, services, and data pipelines that integrate with the Upwind platform. • Improve the scalability, performance, and maintainability of research-driven systems. • Work cross-functionally with Product, Platform, DevOps, and other engineering teams to deliver customer-facing capabilities. Requirements Requirements • 3+ years of experience in backend software engineering or software infrastructure development. • Strong proficiency in one or more modern programming languages such as Go, Python, or Java. • Experience designing, building, and maintaining production backend systems. • Strong software engineering fundamentals, including system design, testing, debugging, and performance optimization. • Experience working with cloud platforms and distributed systems. • Ability to collaborate closely with researchers and rapidly iterate on new ideas while maintaining production-quality code. • Excellent problem-solving skills and a passion for building high-quality engineering solutions. • Self-driven, resourceful, and comfortable working in a fast-paced startup environment. Nice to Have • Experience in cybersecurity or cloud security. • Familiarity with Attack Surface Management (ASM), CNAPP, offensive security, or cloud-native technologies.

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We are looking for an experienced Frontend Engineer to join our exceptional Frontend Engineering team. The team tackles complex engineering challenges daily, both solving new problems and continuously enhancing existing solutions. We work with cutting-edge technologies, including React, WebGL, and TypeScript, to build innovative and high-performance user interfaces. Responsibilities: • We work with React, WebGL, Typescript and more technologies • We do pure Frontend (no Fullstack Devs here) and we are also in charge of defining the API schema. • We take Product very seriously and advocate for the user experience ourselves, and the esthetic integrity of design and architecture Requirements • End-to-end development of Frontend software components (design, development, testing, maintenance) • 3+ years of experience in Frontend Engineering using React over TypeScript. • Contribute to technological and architectural decisions • Interface with other teams to integrate with other parts of the product • Conduct design and code reviews • Analyze and improve efficiency, scalability, and stability of various system components • Experience with API design • Experience with continuous integration and deployment (CI/CD) • Fluent written and conversational Hebrew and English

Description Upwind is the runtime-powered CNAPP that leverages runtime data to secure our customers’ cloud infrastructure. Upwind’s holistic approach to cloud security helps organizations mitigate the risks that actually matter, identify the root causes of threats in minutes and respond with context and automation. Upwinders are spread across the globe in all departments and work together to protect the infrastructure of our customers - we’re a strong, emerging player in a massive and growing market, and it’s still early enough for you to make a significant impact. At Upwind, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. We are looking for an experienced Pre-Sales Engineer to join our team of expert sellers that is deeply committed to building meaningful relationships with customers, focusing on their value and thinking strategically about bringing deals to close. Responsibilities • Develop a deep understanding of Upwind's cloud security products and services • Collaborate with the sales team to understand customer requirements and tailor technical solutions to meet their needs • Provide technical guidance and support throughout the sales cycle, from Demo's to Closed Won. • Lead and manage the execution of POC engagements to demonstrate the effectiveness of our solutions. • Act as a liaison between the sales and product development teams, providing valuable insights from customer interactions Requirements • Proven experience as a Sales /Solutions Engineer or in a similar technical pre-sales role within the cloud security industry • In-depth knowledge of cloud computing, cybersecurity principles, and industry best practices • Strong presentation and communication skills with the ability to convey technical concepts to a non-technical audience • Ability to work independently and collaboratively in a remote team environment • Experience with cloud platforms such as AWS, Azure, or Google Cloud • Experience with Terraform, k8s and containers is a plus

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We are looking for a highly technical Infrastructure Team Lead to establish and lead a new Infrastructure team. This is a hands-on technical leadership role focused on the scalability, performance, and reliability of the systems our product and engineering teams run on. You will design and evolve our core infrastructure: databases, messaging systems, and the services around them- to keep pace with a fast-growing, high-load, multi-tenant system, while building and leading the team responsible for it. This is a leadership role for someone who stays close to the technology: setting technical direction, guiding architecture, getting hands-on with hard performance and scale problems, and working through complex production challenges alongside the team. What You'll Do • Take ownership of our infrastructure's scalability, performance, and reliability — end to end, across a fast-growing, high-volume system • Build and lead a new infrastructure team, hiring and mentoring engineers as the team grows • Dive deep into architecture, databases (Aurora, OpenSearch, Redis), and system design to identify and resolve scale and performance bottlenecks • Work hands-on with messaging systems (Kafka, RabbitMQ) and database infrastructure to keep pace with increasing load • Consolidate infrastructure work under one team and bring structure and clear ownership to this core domain. • Operate independently — you'll be given real ownership and real problems to solve, and you're expected to drive solutions without needing constant guidance • Partner with engineering teams across the company, but as the clear owner of infrastructure decisions, not just an advisor Requirements • 5+ years of hands-on software development / architecture experience and at least 2 years as a team lead/ tech lead, you've built and designed real systems, not just directed others • A proven, demonstrable track record of driving significant performance improvements- measurable gains in efficiency, latency, or system load. • Strong understanding of databases, scalability challenges, and system architecture • Experience across more than one company/environment • A degree (any field, any institution) • Independent, self-driven working style- you take a problem and run with it • Experience with Java is a big plus What Success Looks Like • You build a team that can independently carry infrastructure work • You can take a messy, high-pressure infrastructure problem and turn it into a solved, owned, well-architected system • You help strengthen company culture where scale and performance solutions are happening by design and planning, not reactively. • Leadership can hand you a hard problem and have strong confidence that you will be able to handle it end to end autonomously.

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We're looking for a Technical Account Manager to build strong, strategic relationships with customers and ensure successful onboarding, adoption, and long-term value from the Upwind platform. You'll serve as the main point of contact, guide technical deployments, lead roadmap discussions, and provide hands-on support to drive engagement and satisfaction. Responsibilities • Act as a strategic partner to the sales team post-POC, supporting account continuity while enabling sales to focus on new opportunities • Oversee deployments in collaboration with Solutions Architects to ensure smooth and successful onboarding • Serve as the primary point of contact for customers, addressing issues quickly and maintaining a high-quality customer experience • Build strong, long-term relationships by introducing new features, gathering feedback, and leading roadmap discussions • Partner with sales during renewals and expansion to align technical planning with customer needs and drive value • Proactively engage with customers to surface key security insights, guide feature adoption, and ensure they realize the full value of the Upwind platform Requirements • 3+ years in customer-facing roles in SaaS, with experience in technical support, solution architecture, or similar roles • Strong technical background in cloud infrastructure (AWS, GCP, Azure), cybersecurity, or DevOps • Excellent communication, problem-solving, and relationship-building skills • Experience leading technical projects, managing deployments, and driving feature adoption • Strategic mindset with the ability to align technical solutions to business goals • Relevant certifications in cloud or security (preferred)

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you'll have the opportunity to work on some of the most challenging problems in applied AI and security, turning cutting-edge research and LLM capabilities into products that operate in real customer environments. We're looking for an AI Engineering Lead to help drive the quality, intelligence, and continuous improvement of Upwind's AI and agentic systems. This is a hands-on AI engineering lead role focused on data, evaluation, and agentic workflows. You'll build the systems and methodologies that allow us to understand how our agents perform, identify where they fail, and continuously improve their reasoning, tool usage, and outcomes. You'll work closely with AI Researchers, Engineers, and Product teams to turn experiments into reliable, high-performing AI systems — from defining evaluation datasets and metrics to improving agentic workflows and deploying them at scale. What You’ll Build: • Agentic Workflows: Design and continuously improve multi-step agent workflows, including reasoning, tool usage, planning, state management, and recovery strategies. • AI Evaluation: Build evaluation frameworks, datasets, metrics, and automated pipelines to measure the quality and reliability of LLMs and agents. • AI Data Infrastructure: Build the data pipelines and feedback loops required to collect, curate, analyze, and learn from real-world agent interactions • AI Observability: Build visibility into agent behavior and performance, including trajectories, tool calls, latency, failures, and outcome quality. Responsibilities: • Own and evolve the evaluation strategy for Upwind's AI agents and LLM-powered features. • Define meaningful metrics and automated evaluation pipelines for measuring agent quality, accuracy, reliability, and task completion. • Design and improve agentic workflows to make agents more capable, reliable, efficient, and predictable. • Build feedback loops from production usage back into evaluation datasets and development workflows. • Develop tooling for running experiments and comparing models, prompts, workflows, and agent configurations. • Work closely with AI Researchers to turn research ideas and experiments into production-quality AI capabilities. • Collaborate with backend engineers to integrate AI workflows and evaluation systems into our production platform. • Establish best practices for testing and validating non-deterministic AI systems. • Monitor AI systems in production and continuously identify opportunities for improvement. • Take end-to-end ownership of projects- from defining the problem and building the first experiment to productionizing and measuring its impact. Requirements • Strong engineering experience, with a track record of owning and delivering complex technical systems. • Hands-on experience building LLM-powered applications, agents, or AI systems. • Strong understanding of LLM evaluation, experimentation, and data-driven development. • Experience designing and implementing LLM-as-a-Judge evaluations, including evaluation criteria, scoring rubrics, structured outputs, and validation of judge reliability. • Strong problem-solving skills and the ability to analyze complex AI behavior and turn observations into concrete improvements. • Experience working with agentic workflows, tool calling, multi-step reasoning, or AI orchestration. • Ability to work closely with researchers and engineers and bridge the gap between experimentation and production. • Comfortable working in a fast-paced environment where requirements and technologies evolve quickly. Strong Advantages: • Experience with LLM evaluation frameworks and automated evaluation pipelines. • Proven experience with LLM-as-a-Judge methodologies, including calibrating judges against human evaluations, measuring evaluator consistency, and reducing evaluation bias • Experience with LangGraph, LangChain, or comparable agent orchestration frameworks. • Experience working with security, infrastructure, or other complex technical domains. • Experience building production AI systems where correctness and reliability are critical. • Strong Python skills and experience working with data processing and AI/ML tooling. Why Upwind? • You'll have the opportunity to work on AI systems that are solving real, complex security problems- not demos or prototypes. • You'll be part of a team building the next generation of AI-powered security agents, with the opportunity to influence how we evaluate, improve, and scale these systems from the ground up.

Description Upwind is a next-generation cloud security platform that uses runtime context to identify and prioritize the risks that actually matter. Our eBPF-powered sensors and agentless posture discovery give us a unique view of cloud environments- from the first commit to the running workload We're looking for a Cloud Security Researcher to join the platform research team. This is a chance to shape the platform end to end- expand what it sees, define how it thinks about risk, and build the AI systems that act on what it finds What You'll Do • Integrate new systems and domains- from cloud to shift-left tooling and AI providers- model their data, analyze and enrich it with context from across the platform to generate meaningful insights • Map risk vectors, build threat models, and translate them into actionable posture recommendations • Define how the platform should reason about risk, advancing posture management beyond static rules toward dynamic approaches like graph traversal and reachability analysis • Shape how AI is applied on top of the platform's findings - from agentic systems for insight, context analysis, and remediation to smarter prioritization and prevention • Lead research initiatives end-to-end, working with product and engineering to turn them into shipped capabilities Requirements • 5+ years in security research, cloud security, or DevSecOps • Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), including its identity and data services • Strong understanding of modern DevOps environments: CI/CD pipelines, Infrastructure-as-Code, containers, and Kubernetes • Hands-on coding skills (e.g., Python) and comfort with query languages (e.g., SQL) and reasoning about data flows. • Ability to own research initiatives end-to-end in a fast-moving environment • Excellent written and spoken English Advantages • Experience building AI/LLM-based or agentic systems, or securing AI/ML pipelines • Experience with DSPM, data classification, or data security tooling • Background in supply chain security (SBOM, dependency and artifact security) • Open-source contributions, published research, or conference talks

Description About The Position Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We’re looking for a Customer Success Manager (CSM) to own the strategic relationship with our customers, drive business value, and ensure long-term retention and growth. As the counterpart to our Technical Account Managers, you’ll focus on the customer’s outcomes, executive alignment, program management, renewal/expansion, and value realization across the Upwind platform. Responsibilities • Serve as the primary business-facing contact and trusted advisor for assigned strategic customers. • Own the post-sale customer journey from onboarding through renewal, ensuring clear ownership and smooth handoffs across teams. • Own customer renewals and hygiene by tracking timelines, forecasting risk, and ensuring early alignment with Sales. • Identify and surface expansion opportunities in partnership with Sales by understanding customer initiatives, cloud footprint, and security roadmap. • Collaborate with Sales on long-term account strategy and positioning of relevant Upwind capabilities. • Partner closely with TAMs to drive adoption of new capabilities, communicate value, and track progress against success criteria. • Develop and manage joint success plans aligned to customer objectives, KPIs, and success criteria. • Build strong relationships across executive, security, DevOps, and cloud leadership. • Ensure customers achieve measurable outcomes by operationalizing Upwind within their workflows and expanding usage over time. • Lead Quarterly Business Reviews (QBRs), program reviews, and executive readouts. Requirements • 3-5+ years in Customer Success, Account Management, or similar client-facing roles in SaaS or cybersecurity. • Strong understanding of cloud security programs, modern security org structures, and value-driven success methodologies. • Exceptional communication, stakeholder management, and executive presentation skills. • Proven track record of driving adoption, managing complex accounts, and leading cross-functional programs. • Comfortable working in fast-paced environments and influencing both customer and internal priorities. • Experience partnering with technical teams (TAMs, SAs, Product) and Sales to support customer outcomes and retention. • Ability to connect technical capabilities to business impact, security outcomes, and ROI.

Description Who we are Upwind is a cloud security platform that uses runtime context to show security teams what actually matters. Powered by eBPF sensors, we cover everything from cloud posture to real-time threat protection and API security. Our customers are global, their environments are complex, and they count on us when something breaks. The role Our Support team is where deep technical skill meets real customer impact. You’ll be the person customers turn to when things get complicated: digging into cloud and Kubernetes environments, finding the root cause, and making sure they leave the conversation with a solution and with more trust in us than before. You’ll join a global team of 14 engineers, 5 of them here in Israel, and work directly with R&D and Product. What you find in the field shapes what we build. What you’ll do • Troubleshoot and resolve complex technical issues for global customers via Slack, chat, and email • Dig into root causes across cloud, Kubernetes, Linux, networking, and databases, and escalate to R&D or Product with a clear, well-investigated picture when needed • Build strong relationships with customers and help them get the most out of the platform • Document solutions and turn recurring issues into knowledge the whole team can use • Bring field insights back to R&D and Product to help improve the product • Keep growing: the product, the cloud landscape, and the threats all move fast, and so will you Requirements What you bring (must have) • 3–6 years of hands-on experience in Technical Support, Technical Account Management, or Escalation Engineering at a software/SaaS company, working with global customers (internal IT support doesn’t match this role) • Strong experience with AWS and Kubernetes • Experience with MySQL • Solid background in Docker, Linux, and networking • Experience with OpenSearch, Grafana, or similar tools for troubleshooting and analysis • Excellent English, written and spoken • Strong self-learning ability and the independence to dig in on your own, while working well as part of a team Nice to have • Experience in cybersecurity, especially cloud security • Bachelor’s degree in Engineering / Cyber Security or equivalent experience

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We are looking for an experienced Software Engineer to join our great Backend Engineering team.The team faces complex engineering issues on a daily basis, both solving new challenges and constantly improving the existing solutions. We work with all major cloud providers (AWS, GCP, Azure) and use cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. Responsibilities • Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment • Contributing to technological and architectural decisions • Conducting design and code reviews • Analyzing and improving efficiency, scalability, and stability of various backend system components • Interfacing with other teams (e.g. Frontend, DevOps) to deliver best-in-class features Requirements • Bachelor of Science in Computer Science/Software Engineering or related field • 3+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Python, Go) • Experience with cloud platforms and products (e.g. AWS, GCP and Azure) • Experience implementing data-intensive systems (message queue technologies) • Experience with continuous integration and deployment (CI/CD) • Experience with microservices based architecture

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We are looking for a highly skilled Senior Vulnerability Researcher to join our team. In this role, you will lead offensive research on our clients' assets, uncovering complex vulnerabilities and directly connecting your findings to our product to demonstrate actionable value. Beyond client-focused engagements, you will spearhead vulnerability research into cutting-edge technologies within the AI and Cloud domains. As a senior technical voice for the company, you will share your findings by writing technical blogs and representing us at industry security conferences. Key Responsibilities • Conduct deep-dive offensive research on client assets to identify and exploit vulnerabilities. • Bridge the gap between offensive findings and product value, demonstrating to clients how our solutions mitigate their specific risks. • Perform pioneering vulnerability research on emerging technologies, specifically focusing on Cloud infrastructure and Artificial Intelligence (AI) ecosystems. • Author high-quality technical blogs, whitepapers, and vulnerability reports. • Represent the company by speaking and participating in leading global security conferences. Requirements • Experience: 6+ years of proven experience in Offensive Security, Vulnerability Research, or Web Application Security. • Proven Track Record: Demonstrated background in discovering and disclosing vulnerabilities (e.g., published CVEs, strong bug bounty profiles, or independent research). • Technical Proficiency: Strong programming and scripting skills in languages such as Python, Go, C/C++, or Rust to build custom exploits and tooling. • Cloud/AI Knowledge: Solid understanding of modern Cloud environments (AWS, GCP, or Azure) and a foundational understanding of AI/ML architectures and their unique attack surfaces (e.g., LLM vulnerabilities, model poisoning). • Communication Skills: Exceptional written and verbal communication skills, with the ability to translate complex technical findings into clear business value for clients. Advantages • Low-Level Expertise: Proven background in low-level exploitation (e.g., binary analysis, reverse engineering, memory corruption vulnerabilities).

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. We're in a period of significant growth - and every person we bring in changes the trajectory of the company. Sourcing, done right, is one of the most powerful levers in a talent team. Not because of the pipeline numbers. Because of the people - the ones you find before anyone else does, the ones who weren't looking until you reached out, the ones who change everything once they're in the room. We're not looking for someone to send bulk messages on LinkedIn. We're looking for a sourcing strategist - someone who thinks creatively, uses AI and data to go where others don't, and genuinely cares about the quality of talent we bring into Upwind. You'll work across a wide variety of roles - R&D, product, business, and beyond - and you'll be a true partner to our recruiters and hiring managers. You'll also help shape how the world sees Upwind as a place to work. This is a role with real visibility, real ownership, and real impact. What We're Looking For • Own the sourcing strategy- build pipelines for diverse roles across R&D, Product, Sales, and more. Go beyond job boards and LinkedIn; find talent others miss. • Be the intelligence layer - use data, market mapping, and competitive insights to inform where we should be looking and who we should be targeting. • Partner with hiring managers and recruiters - understand each role deeply, not just the title. Know what "great" looks like for every search. • Challenge the way sourcing is done - bring AI tools, automation, and unconventional approaches to outreach and pipeline building. • Drive employer branding initiatives - create content, build presence, and represent Upwind authentically in the talent market. • Create candidate experiences worth remembering - every first touchpoint matters, and you'll make it count. • Continuously improve - track what's working, report on pipeline health, and iterate fast when something isn't. Requirements • 3+ years of sourcing or talent research experience in a fast-growing startup - must. • Cross-functional sourcing experience - comfortable working across technical (R&D, Product, Data) and non-technical roles. • Real AI capabilities - you're actively using AI tools in your sourcing workflow, not just familiar with them. • Data-driven mindset - you use market data, pipeline metrics, and conversion rates to make smarter decisions. • Creative outreach - your messages get replies. You know how to write to a person, not a persona. • Employer branding sensibility - you understand that sourcing and brand-building go hand in hand. • Proactive by nature - you spot gaps before anyone asks and move on them. • Strong organizational skills - you can manage multiple searches across multiple stakeholders without dropping the ball. • Excellent communication skills - high EQ, strong relationship builder, a true people-person. • High level of English - both written and verbal.

Description About The Position Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities - including agentless cloud posture discovery, real-time threat protection, and integrated API security. We're in a period of significant growth. There's an enormous amount to build, improve, and shape - and every hire changes the trajectory of the company. We're looking for a Marketing Operations Lead to build and run the engine behind our pipeline: the systems, data, workflows, and integrations that turn every touchpoint into qualified pipeline. You'll own the marketing tech stack end to end, from the first form fill to the hand-off to Sales and beyond. This is a hands-on, high-ownership role for someone who is both strategic and deeply technical. You won't write a spec and wait for someone else to build it. You'll design the workflow, wire up the integration, call the API, fix the data, and measure the impact. You'll report to the Head of Growth and work day-to-day with Growth, Content, Product Marketing, Sales, SDRs, and RevOps. You're a service-oriented partner to both Marketing and Sales, and you measure your success in pipeline. We work AI-natively. We expect you to reach for AI tools by default - to automate, enrich, analyze, and build at a pace that would have needed a team of five two years ago. What You'll Do • Own the marketing tech stack. Run HubSpot and Salesforce as one system: architecture, objects, properties, sync rules, and data hygiene. Evaluate, implement, and connect new tools as we scale. • Build the lead engine. Own lead capture, routing, scoring, lifecycle stages, and SLAs so the right lead reaches the right rep at the right moment, with full context. • Design nurture that moves pipeline. Build email marketing programs and automated nurture workflows across the funnel - from first touch through MQL, SQL, and opportunity - and keep optimizing them against conversion and pipeline, not open rates. • Run enrichment and data at scale with Clay. Build Clay tables and waterfalls for enrichment, ICP scoring, account research, and signal-based outbound plays that feed Sales with high-quality, prioritized targets. • Connect everything. Build and maintain integrations and automations across our stack using APIs, webhooks, and middleware - HubSpot, Salesforce, Clay, sales engagement tools, intent and enrichment platforms, the website, and events. • Own the website's marketing operations. Manage WordPress forms, tracking, landing page set-up, and integrations so every conversion is captured, attributed, and routed correctly. • Partner closely with Sales. Understand the pipeline, the deal stages, and how reps work. Support SDRs and AEs with workflows, sequences, territories, and tooling that make them faster - and act as the go-to operator Sales trusts. • Build the AI-native ops layer. Use AI agents and automation across enrichment, research, routing, personalization, and reporting to scale output without scaling headcount. • Report on what matters. Own funnel and attribution reporting that connects campaigns to pipeline to revenue, with a clear view on conversion rates, velocity, and where the funnel is leaking. Requirements • 5+ years in Marketing Operations, Growth Operations, or RevOps at a B2B SaaS company - a must. Cloud or cybersecurity experience is a big advantage. • Expert-level HubSpot and Salesforce. You've owned both as an admin and architect: workflows, lead scoring, lifecycle management, the bi-directional sync, reporting, and data governance. You can explain exactly how a lead moves through the system and why. • Hands-on Clay expertise. You've built enrichment, scoring, and outbound workflows in Clay that produced real pipeline. • Sales tools fluency. Hands-on experience with sales engagement and intelligence tools (e.g., Outreach, Salesloft, Apollo, ZoomInfo, Gong, intent platforms) and how they fit together. • Strong technical and API skills. You understand APIs, webhooks, and data models, and you're comfortable building integrations and automations yourself (Zapier, Make, n8n, or code). • WordPress experience. Comfortable working with forms, tracking scripts, plugins, and integrations on a marketing website. • Deep marketing and funnel knowledge. You understand demand generation, lead generation, email marketing, and nurture strategy - not just the tools behind them. You know how B2B pipelines and sales processes work, from MQL to closed-won. • AI-native by default - a must. You already use AI tools and agents throughout your workflow and are always looking for new ways to automate and move faster. • Strategic and hands-on. You can design the operating model for a growing GTM team and then build it yourself. • A people person with a service mindset. You build trust with Marketing and Sales, translate business needs into systems, and keep stakeholders aligned. • Pipeline-driven and analytical. You think in conversion rates, velocity, and revenue impact, and you let the data drive decisions. • Full professional proficiency in English, written and verbal. • A self-starter who ships. High motivation, fast learner, comfortable with ambiguity, and biased toward getting things done in a fast-moving startup.

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We're looking for a Threat Security Researcher to join our Threats team at the intersection of security research, AI, and product. You'll own detection research across runtime, cloud, network, identity, code, while actively shaping how AI capabilities are applied to solve real security problems at scale. • Conduct deep technical research into modern cloud environments and AI systems and discover novel attack techniques. • Lead product initiatives in the threats domain from inception to production. Collaborate closely with product, backend, and GTM, translating research into product capabilities. • Define and create complex detection logic over our vast telemetry, with a focus on coverage that scales across customer environments. • Identify gaps in detection coverage and evaluate detection quality. ensuring security logic is reliable and impactful. • Stay up to date with the evolving threat landscape (threat intelligence, campaigns) and incorporate into our product • Contribute to PR presence - technical research content, talks, open-source tooling. Requirements • 5+ years of experience in threat research, including threat hunting, incident response or detection engineering • Military background experience, university degree, or Ex-CNAPP • Curious, detail-oriented mindset with proven ability to self-learn complex topics and new mechanisms. • Hands-on skills with scripting languages (e.g., Python) as well as query languages (e.g., KQL • Ability to work independently and also across teams, in a dynamic, fast-moving, demanding environment • Strong written and verbal communication skills in English, with the ability to explain complex security concepts clearly to both technical and non-technical audiences. Advantages • Experience in AI Security Research • An AI-native mindset, you've built or applied AI-powered tooling in a security context • Experience conducting data-driven research and working with large-scale telemetry. • Experience in public-facing work, such as presenting at recognized industry conferences or authoring technical blog posts

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities - including agentless cloud posture discovery, real-time threat protection, and integrated API security. We're in a period of significant growth. There's an enormous amount to build, improve, and shape - and every hire changes the trajectory of the company. We're looking for a Growth Marketing Manager to conduct the entire growth orchestra: paid acquisition, landing pages, experimentation, SEO and LLM visibility, partners and vendors. You'll own the full funnel from first impression to qualified pipeline, and you'll own the number. This is a hands-on, high-ownership role. You won't hand off briefs and wait - you׳ll build the page, launch the test, read the data, and kill what doesn't work. You'll report to the Head of Growth and work day-to-day with Content, Product Marketing, Design, Sales, and RevOps. It's an individual contributor role today with a clear path to building a team as the function scales. We work AI-natively. We expect you to reach for AI tools by default - to research, build, analyze, and ship at a pace that would have needed a team of five two years ago. What You'll Do • Own paid acquisition end to end. Plan, launch, and optimize Google Ads and LinkedIn Ads - targeting, creative, bidding, budget allocation - against pipeline and CAC targets, not clicks. Open new channels as we grow. • Own the conversion path. Partner with Content Marketing and Design to build landing pages and campaign assets, then run a continuous A/B testing program on messaging, layout, offers, and forms to move conversion rate. • Run growth as an experiment engine. Build a testing roadmap, prioritize by expected impact, run clean experiments, and turn results into decisions the whole team can act on. • Own organic and AI visibility. Drive technical and content SEO alongside LLM citation optimization- making sure Upwind shows up when security engineers and CISOs ask AI assistants about cloud security. • Manage partners and vendors. Agencies, review sites, syndication, co-marketing, events - hold them to clear KPIs and make each one earn its budget. • Build the AI-native marketing stack. Use AI tools across research, creative production, analysis, and automation to compress cycle times and scale output without scaling headcount. • Report on what matters. Build the reporting that connects spend to pipeline to revenue, and bring a clear point of view on where the next dollar should go. • Work like a seller. Sit close to Sales, understand the buyer and the deal cycle, and optimize for pipeline quality - not lead volume. Requirements • 3+ years in User Acquisition, Growth, Performance, or Marketing Management at a B2B SaaS company- cybersecurity or cloud infrastructure strongly preferred. • BA/BSc with excellence in Economics, Industrial Engineering, or a similar quantitative field. • Hands-on paid media expertise. You've personally managed meaningful budgets in Google Ads and LinkedIn Ads and can explain exactly what you changed and what it did to CAC and pipeline. • Deeply analytical. You're fluent in funnel metrics, attribution, and experiment design. You build the model, find the insight in the data, and are comfortable defending it. • Conversion and experimentation experience. You've built and tested landing pages and know how to run an A/B test that produces a real answer. • SEO and LLM optimization know-how. You understand how organic discovery works today and are actively figuring out how it works in an AI-first world. • AI-native by default. You already use AI tools throughout your workflow and are relentless about finding new ways to work faster. • Sales instincts. You can pitch, negotiate with vendors, and think in terms of what closes deals - not what looks good in a report. • Full professional proficiency in English, written and verbal. You'll write copy that a US security buyer takes seriously. • A self-starter who ships. High motivation, fast learner, comfortable with ambiguity, and biased toward getting things done in a fast-moving startup.

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We are looking for an experienced Backend Team Lead to join our Backend Engineering group and lead a strong team of engineers. In this role, you will combine hands-on technical leadership with people management, while tackling complex engineering challenges on a daily basis. The team is responsible for designing, building, and continuously improving scalable backend systems in a cloud-native environment. You will work with all major cloud providers (AWS, GCP, Azure) and lead development using cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. This is a key leadership role with direct impact on architecture, delivery, and team growth. Responsibilities • Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment • Contributing to technological and architectural decisions • Conducting design and code reviews • Analyzing and improving efficiency, scalability, and stability of various backend system components • Interfacing with other teams (e.g. Frontend, DevOps) to deliver best-in-class features Requirements • Bachelor of Science in Computer Science/Software Engineering or related field • 5+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Python, Go) • 3+ years of experience as a Team Lead • Experience with cloud platforms and products (e.g. AWS, GCP and Azure) • Experience implementing data-intensive systems (message queue technologies) • Experience with microservices based architecture • Experience in the cyber security industry - advantage.

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We are looking for an experienced DevOps Engineer to join our team. Our DevOps team collaborates closely with every engineering unit within Upwind, delivering CI/CD and scalable infrastructure for all Upwind features. We leverage valued OSS solutions and employ a modern tech stack, including Kubernetes, Terraform, Argo, Helm, VictoriaMetrics, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. Responsibilities: • Take part, end to end on all features within upwind’s infrastructure, CI\CD pipelines and product features • Be part of our product’s architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product. • Plan and push to scale in DevEx and infrastructure efforts • Be responsible for stable and scalable execution of product feature's infrastructure • Monitor and maintain Production infrastructure that makes Upwind's magic happen. Requirements • +3 years of experience as a DevOps engineer on a production high-scale distributed system, working in a Linux environment. • Hands-on experience with containerized environments - Kubernetes and its OSS ecosystem is used all over Upwind’s infrastructure. • Experience with maintaining and scaling various database, and queueing infrastructures (Elasticsearch, MySql, Neo4j, Postgres (Timescale), RabbitMQ, Redis or similar technologies) • Extensive experience with working in cloud environments on a Production system • The mindset of automation - push to automate as many of manual processes as possible • In-depth knowledge of build/release systems, CI/CD pipelines. (Github actions, ArgoCD) • Proven, hands-on experience with infrastructure as code in production environments (Terraform, Terragrunt,CDK etc..) • Proven hands-on experience with Helm templating language • Scripting/programming skills with Python/Bash/Go. • An innovative approach, with the ability to quickly learn technologies, and implement cutting edge technologies • A strong sense of ownership and accountability Nice to have: • Deep knowledge of working with Prometheus monitoring stack (Grafana, AlertManager, Victoria Metrics) • Hands on experience with multiple cloud vendors

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities — including agentless cloud posture discovery, real-time threat protection, and integrated API security. We're in a period of significant growth. There's an enormous amount to build, improve, and shape - and every hire changes the trajectory of the company. About the Role We're looking for a Talent Acquisition Partner, an experienced, full-cycle recruiter who works differently than most. You don't rely on job boards and cold outreach alone. You've built a real, personal network over the course of your career: people who know you, trust you, and pick up when you call. You bring candidates a level of care and attention that feels more like a trusted advisor than a transactional recruiter. You listen, you follow up, you make people feel genuinely looked after throughout the process. This role exists because we believe that kind of relationship-driven recruiting, deep networks and high-touch candidate experience, is something we can build inside our own team, instead of outsourcing it to external agencies or headhunters. What You'll Do • Own full-cycle recruiting for roles across the organization (R&D and beyond): sourcing, screening, interview process management, and closing. • Source proactively across various platforms and tools, blending modern AI-assisted sourcing with your own network and direct outreach. • Lead with relationships: reach candidates through your own professional network, not just inbound applications or cold sourcing. • Give every candidate a high-touch, closely-managed experience: clear communication, real attention, and a process that reflects well on Upwind. • Fully unlock our internal potential: referrals, employee networks, and every internal connection we have, as a real, ongoing source of talent, not an afterthought. • Collaborate closely with recruiters across Israel, EMEA, and APJ, and stay aligned with team goals and standards. Requirements What We're Looking For Must-have • Proven experience in full-cycle recruiting: sourcing, screening, process management, closing. • A real, established professional network built over your career, not just online connections, but relationships people actually respond to. • A relationship-first way of working. You'd rather spend real time getting a placement right than move fast and loose across a large volume. • Comfort and fluency with AI-assisted sourcing tools and modern recruiting technology. You seek these tools out, you don't avoid them. Nice-to-have • A background that naturally built a strong network, for example a technological military unit, a professional community, or years of activity within a specific industry network. • Prior experience as an external recruiter or headhunter with a track record of network-based, not just inbound, placements. • Deep familiarity with the Israeli hi-tech recruiting landscape.

Description Upwind is a next-generation Cloud Security Platform that uses runtime context to identify and prioritize critical risks. Unlike traditional tools, Upwind uses runtime data to prioritize risk and inform posture, so teams can focus on what truly matters. Our eBPF-powered sensors and agentless cloud discovery deliver real-time threat protection, posture management, and API security. Together they protect cloud infrastructure end to end, from misconfigurations to malware. At Upwind, you'll have room to think creatively, explore new ideas, and make a real impact on our growth. We're looking for a hands-on AI Engineer to join Upwind's Research team. You'll help build our core intelligence engine: LLM agents that run cloud security workflows end to end. These agents investigate runtime detections, reason over workload, identity, and cloud context, and drive remediation in production. You'll research new models and agent designs, run rigorous experiments, and ship what works as high-impact features in our platform. What you will do • Build LLM-based agents that investigate, triage, and remediate cloud security threats. • Own the path from research to production: prototype new models, techniques, and agent designs, and ship the ones that work. • Train, fine-tune, and evaluate models for security tasks using Upwind's vast data sources: runtime events, cloud logs, identity, and network activity. • Build and extend our internal AI platform: services, pipelines, evals, and observability. • Collaborate with Security Researchers, Product, and Engineering to turn research findings into production-grade autonomous workflows. Requirements • 3+ years building AI/ML systems in production, including LLM-based agents built with modern AI and agent frameworks. • Strong backend engineering skills and proficiency in Python. • Experience training or fine-tuning ML models and LLMs. • Strong understanding of AI system reliability: prompting and context engineering, evaluation pipelines, LLM-as-judge, regression testing, and production monitoring. • Proven AI research ability: track the literature, frame open problems, design rigorous experiments, and benchmark new techniques against the state of the art. • Strong ownership and the ability to work both independently and as part of a team in a fast-paced environment, bridging research and product engineering. • Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Nice to have • Background in cybersecurity (e.g., cloud security, threat detection, incident response). • Hands-on experience with cloud platforms (AWS, GCP, Azure) and Kubernetes. • • Research publications, open-source contributions, or other work that shows depth in AI.

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities — including agentless cloud posture discovery, real-time threat protection, and integrated API security. We're in a period of significant growth. There's an enormous amount to build, improve, and shape - and every hire changes the trajectory of the company. We’re looking for a Product Marketing Manager, part technologist, part storyteller, and deeply hands-on in turning complex cloud security concepts into clear, compelling narratives that resonate with engineers and security leaders. You’ll think like a security engineer and write like a product marketer, creating technical content, product narratives, launch assets, and enablement materials that explain not just what Upwind does, but how it works and why it’s architecturally different. This is a hands-on, high-impact role where you’ll bring technical strategy to life through content. You’ll report to the Head of Product Marketing and collaborate closely with Product, Engineering, Demand Gen, Sales, and leadership to turn complex innovation into market-ready messaging and assets that drive real pipeline impact. What You’ll Do • Own the technical narrative for Go To Market Enablement. Partner with Product to define use cases, and build supporting assets and training material for new features and releases. • Create and execute high-impact technical content. From deep-dive technical blogs and solution guides to architecture explainers and product landing pages, you’ll produce content that security engineers and cloud teams actually want to read. • Partner closely with Content Marketing to translate complex messaging into creative content formats and experiences across written, social, video, etc. • Translate complex architecture into clear value. Turn runtime telemetry, eBPF instrumentation, Kubernetes metadata, identity context, and API flow mapping into differentiated, defensible positioning. • Support demand with technical credibility. Collaborate with Demand Gen to provide strong technical angles for campaigns, content offers, and field programs that educate buyers over time, not just capture leads. • Develop competitive and market POVs. Analyze the CNAPP and cloud security landscape to create technically grounded differentiation and comparison assets that stand up to scrutiny. • Keep our technical voice sharp. Ensure our product storytelling is precise, modern, and human, authoritative when discussing architecture, and approachable when discussing customer value. Requirements • 3–6 years of experience in product marketing, technical marketing, solutions engineering, product management, or a related role at an enterprise SaaS company, ideally in cloud security or cloud infrastructure. • Deep curiosity about how things work. You’re comfortable reading architecture docs, asking engineers hard questions, and understanding runtime systems at a technical level. • Understands the full sales processes, from pitching, to Demo to POC to production. • Strong technical writing skills. You can take complex infrastructure concepts and turn them into structured, compelling narratives without oversimplifying or hiding behind jargon. • Experience marketing to technical audiences. You’ve written for security engineers, DevOps teams, platform engineers, or CISOs and understand how to earn credibility with them. • Hands-on execution mindset. You don’t just define positioning, you write the blog, build the page outline, create the sales asset, and help get it live. • Familiarity with cloud-native environments. Kubernetes, containers, APIs, IAM, vulnerability management, runtime security, CNAPP, CSPM, CWPP, code, application security, Shift Left, Sast or related domains. • Comfort working cross-functionally. You can translate between Engineering, Sales, and Marketing without losing clarity or technical accuracy. • Fluency in modern marketing tools. Comfortable with CMS platforms, marketing automation tools like HubSpot, web tools like Webflow, analytics platforms, and enablement systems. Bonus for experience with demo tools, Storylane, or technical visualization tools. • Data-informed and impact-driven. You care about adoption, engagement, and pipeline influence, and you refine messaging based on real feedback from the field. • Comfortable with ambiguity and speed. You’re energized by building in a fast-moving startup where features ship quickly and messaging evolves alongside the product.