Jobs in Tel Aviv-Yafo

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 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 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 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 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. 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. 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? 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)

About The Position 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 Full-Stack Developer to join our squad and work on one of Lusha's core products, used by thousands of users across a large number of accounts, from enterprise companies to very small businesses. The role covers backend infrastructure as well as a significant frontend. Our group works deep inside data, beyond the classic full-stack and backend worlds. A large part of the group's responsibility involves data. There are no domain boundaries here: you'll work on a wide range of tasks and technologies. 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 don't just take tasks. You look at the product, care about it, and suggest how to improve it When you get a task, you talk to everyone you need to and own it end to end You care about what happens after deployment: how users use what you built, how it's monitored, and what worked or didn't You work agent-first: you run multiple AI models in parallel while staying hands-on and proactive You've built or improved AI tools for your team that made real processes more efficient, beyond code review You enjoy meeting users and making an impact on a large user base Requirements 4+ years of Full-Stack experience: You build and ship end-to-end features for production UIs, not just backend APIs. TypeScript & React Expert: Deep proficiency in TS on both client and server. Strong hands-on experience with modern React and state management (e.g., TanStack Query, Zustand). AI-Native Engineering: You build software "agent-first." You leverage tools like Claude Code or Cursor daily, going beyond basic prompting to build MCP integrations, custom skills, and AI-driven workflows that multiply team velocity. Backend & API Architecture: Solid experience with Node.js (NestJS preferred) for building scalable microservices and robust APIs. Data & Databases: Deep understanding of SQL and PostgreSQL, including schema design and query optimization at scale. True Production Ownership: You deploy your own code and actively use logs, monitoring, and product analytics to ensure system health and user success. Nice to have Building AI product interfaces, such as streaming chat UIs or rendering agent outputs Micro-frontends, or building and publishing shared R versioning) Databricks / Spark, or other large-scale data pipelines Temporal or other workflow orchestration Kafka in production: partitioning, consumer groups, replays Kubernetes, Docker and CI/CD Observability and analytics tools such as Coralogix and Amplitude

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 BI & Data Engineering Team Lead to join our BI team and take end-to-end ownership of high-impact analytics foundations while mentoring a team of 4-6 talented BI Data Engineers. 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. In this role, you'll combine people leadership with hands-on technical depth (roughly 30% of your time), owning the roadmap, architecture, and delivery of Lusha's BI platform. You’ll shape how AI and agentic workflows transform the way BI is built and consumed, helping 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 while leading and growing people You like turning ambiguous business questions into clear, governed metrics and scalable data models You care about data quality, performance, and trust at scale, as well as optimization and FinOps practices You enjoy mentoring, setting technical standards, and leading by example with a hands-on approach (~30%) You actively leverage AI tools and agentic automations to improve development speed, analytical accuracy, and metric governance Requirements 6+ years of experience in Data Engineering / BI roles, including 3+ years leading and managing a data or BI team Proven experience owning scalable, end-to-end data ecosystems, including team roadmaps, architecture decisions, and cross-functional delivery Deep experience with modern data stacks (Databricks and/or Snowflake) and modern transformation frameworks Advanced SQL and Python skills, including data quality, CI/CD, and observability Strong understanding of dimensional modeling, data warehousing, and semantic layers Proven experience using GenAI tools and AI-assisted development (e.g., Claude Code) 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 leading a data platform migration Experience with incremental processing patterns and FinOps optimization practices

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 Mid-Market & Enterprise Account Executive to drive revenue growth by identifying, engaging, and closing deals with mid-market and enterprise customers. This role sits at the core of our growth strategy and focuses on winning new business through strong sales execution, deep customer understanding, and disciplined deal management. You’ll own the full sales cycle end to end, work with complex stakeholders, and use proven sales methodologies to turn opportunities into long-term customers. Experience using GenAI to improve prospecting, deal strategy, stakeholder mapping, and pipeline execution 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 is a Monday - Friday role. This might be for you if: You enjoy hunting for new opportunities and closing complex deals You’re comfortable running full-cycle sales processes with senior stakeholders You like working in fast-growing, high-performance sales environments You’re data-driven, structured, and disciplined in how you manage deals You care about ownership, results, and long-term customer impact You actively leverage AI tools to increase efficiency, personalization, and win rates Requirements 3+ years of experience as a B2B SaaS Account Executive, focused on Mid-Market and Enterprise Strong knowledge and hands-on experience with the MEDDPICC sales methodology Proven track record of meeting and exceeding sales targets Excellent communication, negotiation, and presentation skills Strong relationship-building skills with decision-makers and stakeholders Quick learner and fast adapter to new products, tools, and processes

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 Data Platform Engineer to join the Data Platform team, which owns the infrastructure every data team at Lusha runs on and sits between DevOps and the Data groups. You'll be the Databricks admin (Unity Catalog, compute, governance, cost), the Confluent (Kafka) and CDC admin, and own Airflow, Elasticsearch, the databases, the data S3 estate, and the Kubernetes cluster underneath. Your job is to make the platform fast, cheap, governed, and boring: if it's broken, you fix it, if it's manual, you automate it. Hands-on experience using AI coding tools daily, and building or integrating LLM and agent tooling into real workflows, 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 designing, building, and running large scale batch and streaming data pipelines in production, and owning what you ship, including when it breaks You like administering and evolving core platforms: Databricks, Confluent Kafka and CDC pipelines, Airflow, and Elasticsearch You care about reliability, performance, and cost of a shared data platform used across R&D You enjoy setting the engineering standard for data work: testing, observability, cost tagging, documentation You like driving architecture decisions across Databricks, Kafka, Elasticsearch, and AWS You actively use AI tools and build self-service tooling, including MCP servers and agent interfaces, so teams can operate the platform safely Requirements 5+ years hands-on building and operating large scale data pipelines, batch and streaming, in production Deep Spark and Databricks experience: Delta Lake, Unity Catalog, job and cluster tuning, Structured Streaming or DLT Streaming and CDC experience: Kafka (Confluent a plus), Debezium or equivalent, schema evolution and its failure modes Experience writing Airflow DAGs and operating the platform itself Expert Python and SQL, clean, tested, performant Strong data modeling and architecture judgment, with the ability to explain tradeoffs in scale, performance, and cost Infra literacy: comfortable with AWS (S3, IAM, networking basics), Terraform, Docker and Kubernetes, and CI/CD Proven experience leading cross-team technical initiatives end to end, from ambiguous ask to shipped and adopted Proven experience using AI coding tools daily, with LLM and agent tooling (MCP, embeddings, vector search) built into real workflows Nice to have: Elasticsearch at scale: indexing pipelines, cluster operations, reindex and rollout strategies FinOps or cloud cost management for data platforms Vault or similar secrets management, and Kubernetes operations beyond deploying your own service Experience inheriting a system with real debt and making it boring

We're looking for a Cloud & Infrastructure Security Architect to join the Cyber Defense Division of one of Israel's leading financial organizations. In this role, you'll lead security architecture across complex infrastructure and cloud environments, define security standards and guardrails, and support strategic technology initiatives across On-Premise, Hybrid, and Cloud environments. What You'll Do: Lead security architecture across infrastructure and cloud environments, including On-Premise, Hybrid, and Cloud Design and review secure architectures across AWS, Azure, and GCP environments Conduct Security Architecture Reviews, Threat Modeling, and risk assessments for systems, infrastructure, cloud services, and emerging technologies Define security standards and guardrails for infrastructure and cloud environments Lead security aspects of Kubernetes, Containers, Infrastructure as Code (IaC), and CI/CD architectures Design security solutions across Identity, Network Security, Segmentation, and Zero Trust Lead security considerations for AI and GenAI infrastructure and services, with a focus on secure integration within Cloud and enterprise environments Work closely with Architecture, Infrastructure, Cloud, Network, and Development teams Requirements: Must Haves: 4+ years of experience in Information Security and Cyber Security Architecture, with strong expertise in Infrastructure and Cloud Security Significant experience designing, implementing, and/or securing AWS, Azure, or GCP environments, with deep expertise in at least one platform and familiarity with Multi-Cloud environments Deep understanding of infrastructure architectures, including Networking, Compute, Virtualization, Storage, Identity, Encryption, and Security Controls Experience with Hybrid Cloud architectures, Segmentation, and Zero Trust Experience with data protection, data classification, access control, encryption, data loss prevention, and API security Hands-on experience with Threat Modeling, risk analysis, and designing security solutions for complex systems Proven ability to professionally lead and collaborate with Architecture, Infrastructure, Cloud, Network, and Development teams Nice to Have: Experience with CNAPP, CSPM, or CWPP solutions and implementing Cloud Security Guardrails in Enterprise environments Familiarity with AI/GenAI security risks and securing AI environments in the Cloud Relevant Cloud or Security certifications such as AWS/Azure/GCP Security certifications or CISSP

Shape brands and campaigns with sharp visual craft across digital and marketing. Moveo Creative, our fast-growing creative studio, is looking for a visionary Branding, Marketing & AI Creator. This is a unique opportunity to set the design tone and lead creative processes from A to Z while working closely with a diverse range of clients. In this role, you'll bridge traditional design mastery with state-of-the-art AI workflows — ideating high-level creative concepts and executing them to perfection, while leveraging generative AI tools to accelerate prototyping, explore radical new aesthetics, and scale stunning marketing collateral. At Moveo, your designer toolkit is far more than just a brush — it's a hybrid stack of industry-standard creative software and cutting-edge generative technology. What you'll do • End-to-End Brand & Marketing Creation: Own the design process from initial concept to final delivery across branding, digital campaigns, UI/UX, and motion graphics. • AI-Augmented Ideation & Production: Integrate generative AI tools into your daily workflow to rapidly prototype visual concepts, generate unique design assets, and streamline production. • Client & Studio Leadership: Pitch bold ideas directly to clients, translate complex briefs into actionable visual strategies, and set the aesthetic bar for the studio. • Cross-Platform Execution: Design high-converting marketing materials, digital assets, brand identities, interactive Webflow sites, and engaging motion content. • Toolchain Mastery: Combine classic creative applications with emerging AI models to push the boundaries of what's visually possible. What you bring • Education: A relevant degree in Visual Communication, Graphic Design, Fine Arts, or a related field — backed by a real passion for visual culture. • Taste & Vision: A serious obsession with aesthetics in branding, concept creation, typography, and life in general. • Communication: Exceptional attentiveness and advanced communication skills, able to articulate complex design decisions and AI workflows clearly to clients and internal teams alike. • Portfolio: A standout online portfolio showcasing a strong foundation in branding and marketing design, alongside creative experiments or practical implementations using AI tools. • Generative AI & Emerging Tech: Hands-on experience with tools like Midjourney, DALL-E, Stable Diffusion, Adobe Firefly, Runway, and ChatGPT/Claude for prompt engineering and concept generation, plus a drive to adopt new AI design tools as they emerge. Why join Moveo At Moveo Creative, you'll set the creative tone for a fast-growing studio that blends traditional design mastery with cutting-edge AI workflows. If you thrive on pushing visual boundaries, working directly with clients, and shaping brands from the ground up, you'll fit right in.

About the Role Jeen is looking for a hands-on Enterprise AI Solutions Architect to own the technical design and delivery of end-to-end AI solutions for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production-ready AI architectures. Key Responsibilities Lead technical discovery and translate business requirements into end-to-end AI solution architectures. Design solution components, data flows, integrations, model interactions, and operational workflows. Define the right AI approach, including RAG, agentic workflows, orchestration, model selection, evaluation, and fine-tuning, balancing quality, security, scalability, latency, and cost. Design integrations with customer systems, APIs, data sources, identity services, and IT infrastructure. Define evaluation, guardrails, observability, monitoring, governance, and security requirements. Lead architecture workshops and technical discussions with customers and internal teams. Provide technical leadership to Development and Delivery teams throughout implementation, troubleshooting, and production readiness. Build prototypes and POCs, troubleshoot technical issues, and validate architectural decisions through code when needed. Requirements 5+ years of experience in Software Engineering, Solutions Architecture, AI Engineering, or a related hands-on technical role. Proven experience designing and delivering end-to-end Enterprise software or AI solutions. Hands-on experience with LLM-based systems, including RAG, agentic workflows, search/knowledge solutions, or similar AI applications. Strong understanding of APIs, Enterprise integrations, data flows, databases, and distributed systems. Strong understanding of Enterprise environments, including security, identity, networking, and cloud/on-prem/hybrid architectures. Experience leading technical discovery and architecture discussions with Enterprise customers. Excellent communication skills in English. Preferred Qualifications Experience taking Generative AI solutions from POC to production. Experience with LLM evaluation, observability, and guardrails. Experience with Kubernetes, microservices, vector databases, search technologies, or data pipelines. Experience designing solutions for regulated or security-sensitive environments.

About PointFive PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure. About the Role PointFive is building infrastructure for the next generation of AI-powered engineering. As AI agents become embedded into developer workflows, the underlying model layer is changing rapidly. Organizations are no longer choosing between a handful of hosted APIs. They are increasingly operating across frontier models, open-weight models, locally deployed models, specialized models, and dynamically routed combinations of them. We’re looking for an AI researcher to take an integral part in PointFive’s research into how these models behave, how they should be evaluated, and how they can be deployed and used more efficiently across real engineering workloads. This is a deeply technical research role with direct product impact. You’ll study frontier and open-source models, develop evaluation frameworks, investigate inference and model optimization techniques, explore local deployment strategies, and help answer questions such as: Which model should handle a particular task? How much capability do we lose when we quantize it? Can a smaller local model replace a frontier API for a specific workload? How should models be routed across latency, cost, privacy, and quality constraints? How do we measure whether one model is actually better than another for agentic software engineering? Your work will directly shape PointFive’s model strategy and the intelligence behind our AI infrastructure products. What You'll Do • Define and lead PointFive’s LLM research agenda across model evaluation, inference optimization, local models, routing, and model adaptation. • Continuously evaluate frontier and open-weight models across real-world software engineering and agentic workloads. • Design rigorous evaluation frameworks for model quality, reasoning, tool use, code generation, command execution, summarization, and agent behavior. • Build benchmarks that reflect actual developer workflows rather than generic academic tasks. • Research model efficiency techniques including quantization, distillation, speculative decoding, prefix caching, KV-cache optimization, batching, and context management. • Investigate when smaller or locally deployed models can replace expensive frontier models without materially degrading task quality. • Evaluate model architectures, parameter sizes, quantization formats, and runtime configurations across heterogeneous hardware. • Research and benchmark local inference stacks including llama.cpp, MLX, vLLM, SGLang, ONNX Runtime, Ollama, TensorRT-LLM, and emerging runtimes. • Study inference performance across Apple Silicon, NVIDIA GPUs, AMD GPUs, CPUs, Windows workstations, Linux machines, and other endpoint configurations. • Develop model-routing strategies that optimize across quality, latency, cost, privacy, context size, and hardware availability. • Explore intelligent cascades where smaller models handle common tasks and more capable models are invoked only when necessary. • Research model specialization through fine-tuning, LoRA, adapters, distillation, prompt optimization, and other model adaptation techniques. • Investigate model behavior under constrained environments, including offline execution, limited memory, limited compute, and local-only inference. • Evaluate agent-specific model behavior, including planning, tool selection, shell interaction, code editing, error recovery, and long-running task execution. • Analyze failure modes such as hallucination, tool misuse, context degradation, reasoning collapse, excessive token consumption, and unstable agent loops. • Design experiments that quantify the tradeoffs between model capability, inference cost, token consumption, latency, and resource utilization. • Build internal research infrastructure for reproducible model experiments, benchmarking, dataset management, and evaluation. • Track frontier model releases and emerging research, rapidly determining which developments are meaningful for PointFive’s products. • Collaborate closely with engineering and product teams to translate research results into production capabilities. • Build and lead a small, exceptional LLM research team over time. What We're Looking For Must-have • Deep understanding of modern large language models and transformer-based architectures. • Strong hands-on experience evaluating and experimenting with both frontier and open-weight models. • Strong understanding of inference behavior, including prefill, decoding, KV caches, context windows, batching, memory usage, and token generation performance. • Experience with model optimization techniques such as quantization, distillation, LoRA, fine-tuning, or model compression. • Strong experimental mindset — able to formulate hypotheses, design controlled experiments, and draw meaningful conclusions from noisy results. • Experience building evaluation frameworks for LLM quality and behavior. • Strong Python proficiency and familiarity with the modern ML ecosystem. • Ability to read, understand, and reproduce ideas from current ML research papers. • Comfortable working with ambiguous research problems where there may not yet be an established best practice. • Strong ability to bridge research and production — understanding not only whether something works, but whether it is practical to deploy. Nice to have • Experience with open-weight models such as Llama, Qwen, DeepSeek, Mistral, Gemma, GLM, or similar model families. • Experience with frontier model APIs including OpenAI, Anthropic, Google, and other leading providers. • Experience with inference frameworks such as vLLM, SGLang, llama.cpp, MLX, TensorRT-LLM, Ollama, or ONNX Runtime. • Deep understanding of quantization techniques including FP8, INT8, INT4, AWQ, GPTQ, GGUF, and related approaches. • Experience with GPU performance optimization, CUDA, Metal, ROCm, or DirectML. • Familiarity with distributed inference and multi-GPU serving. • Experience with model routing, mixture-of-model systems, cascades, or adaptive inference. • Experience with reinforcement learning, preference optimization, DPO, GRPO, or related post-training techniques. • Familiarity with agentic systems, coding agents, tool-use models, and computer-use models. • Experience building or evaluating coding benchmarks and software-engineering agents. • Experience with synthetic data generation, dataset curation, and automatic evaluation. • Research publications or meaningful contributions to open-source ML projects. • Experience leading a small applied research or ML research team. Research Areas Some of the problems we expect this team to work on include: • Model Routing Choosing the optimal model dynamically based on task difficulty, latency requirements, cost, privacy constraints, and hardware availability. • Local vs. Cloud Inference Determining which workloads can reliably move from cloud models to models running directly on developer endpoints. • Model Compression Understanding how far models can be quantized, distilled, or otherwise optimized before meaningful capability is lost. • Agentic Model Evaluation Building evaluation methods for agents that operate over codebases, shells, developer tools, and long-running workflows. • Inference Efficiency Improving throughput, latency, memory consumption, and token efficiency across different model architectures and runtimes. • Model Specialization Investigating whether smaller specialized models can outperform general-purpose frontier models for narrow engineering tasks. • Long-Context Behavior Understanding how models behave as context grows, what information gets lost, and how context can be compressed or structured more intelligently. • Hardware-Aware AI Matching models and inference strategies to available GPUs, CPUs, NPUs, Apple Silicon, and other endpoint hardware. • Cost vs. Intelligence Tradeoffs Quantifying when additional model capability actually produces better outcomes — and when it simply produces more expensive tokens. Our Tech Stack Python, Go, PyTorch, Hugging Face, vLLM, SGLang, llama.cpp, MLX, CUDA, Metal, AWS, Cloudflare, Snowflake, and a rapidly evolving ecosystem of frontier and open-weight models. Why PointFive • A rare research surface We operate where LLM research meets real enterprise infrastructure. The questions we work on have immediate implications for how thousands of engineers use AI every day. • Access to real workloads Instead of optimizing against abstract benchmarks, you'll be able to study how models perform across real software engineering and agentic workflows. • Research that ships This isn't a research lab disconnected from product. Successful ideas can move rapidly from experiment to production. • Models are becoming infrastructure Enterprises will increasingly operate fleets of models across cloud APIs, private infrastructure, and developer endpoints. Deciding how those models are selected, optimized, deployed, and governed is becoming a fundamental infrastructure problem. • Frontier moves fast New models, architectures, inference techniques, and agent systems appear constantly. Your job is to understand which developments matter — and turn them into an advantage for PointFive. • Founders with a track record Built and sold IntSights to Rapid7. Backed by top-tier investors with deep conviction in the category. • Early-stage leverage You'll define PointFive's LLM research strategy, research methodology, and eventually the team itself.