Jobs in Ramat Gan

Description About the Role We are looking for a Head of RL Gym to own the end-to-end delivery, quality, and scaling of RL Gym programs for our strategic AI partners. You will work closely with frontier-model teams, Delivery, Product, Sales, Research, and Operations to turn complex customer and model-development needs into high-quality, scalable programs. What You’ll Own • Own partner delivery from scoping through launch, execution, scaling, and iteration. • Translate research and model needs into clear program requirements, workflows, and success metrics. • Work closely with frontier-model teams to identify model gaps and design RL Gym programs that address them. • Own quality standards and quality assurance, ensuring consistent, reliable outputs across programs. • Build the processes, systems, and operating model required to scale programs efficiently without compromising quality. • Partner with Sales on customer discovery, solution design, scoping, and expansion opportunities. • Work closely with Product to translate partner needs and operational learnings into product requirements and roadmap priorities. • Build strong feedback loops across customers, model teams, Sales, Product, and Operations. • Own operational performance across quality, capacity, timelines, cost, throughput, and partner satisfaction. • Build and lead the program management and operations function as the business scales. Requirements What We’re Looking For • 7+ years in program management, product, operations, consulting, or similar roles. • Strong experience owning complex, cross-functional programs at scale. • Proven ability to build scalable operating processes and maintain a high quality bar. • Excellent product judgment and ability to turn ambiguous problems into structured execution. • Experience working with technical or enterprise customers. • Strong analytical, communication, and stakeholder-management skills. • High ownership and comfort operating in fast-moving environments. Strong plus: experience with AI, RLHF, model evaluation, data operations, frontier AI labs, or technical platforms. Success Looks Like • RL Gym programs scale rapidly while maintaining consistently high quality. • Partners trust us to deliver complex programs reliably. • Sales can confidently scope and grow RL Gym opportunities. • Product decisions are informed by real partner and operational needs. • Quality, capacity, throughput, and operational performance are measurable and continuously improving. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description We are hiring an Engineering Manager to own and grow the Data Science group - the R&D team behind Alice's security and safety AI models and the data platform that powers them. You will lead a multidisciplinary team of ML engineers, data scientists, and software engineers who ship real-time inference at scale, automated red-teaming of GenAI systems, and the Databricks/Spark data platform underneath. This is a hands-on people-leadership role: you set technical direction, are accountable for delivery and quality, and you build and grow the team. What your team owns The group is responsible for a large Python + Rust + PySpark monorepo (dozens of production services and shared libraries) spanning three connected domains: 1. Content-moderation inference at scale Real-time, multi-tenant detection across text, image, video, and audio - hate speech, CSAM, nudity, child grooming, extremism, PII, prompt injection, age estimation, and more - served through an in-house ActiveServe framework over NVIDIA Triton and a Rust detection monolith, on latency-sensitive, SLA-bound, customer-facing traffic with per-customer custom models. 2. GenAI safety & red-teaming Automated red-teaming that attacks customers' LLM applications with a research-driven attack taxonomy and measures attack-success rate, alongside the defensive side - LLM-as-judge escalation to cut false positives and the tooling that authors and refines moderation policies - built on a multi-provider LLM foundation (Bedrock, Anthropic, OpenAI, Gemini, xAI Grok) and forming Alice's leading edge into agentic-AI safety. 3. Data platform & MLOps An end-to-end lakehouse and MLOps stack on Databricks - bronze/silver/gold ingestion, PySpark pipelines, and model training, versioning, and promotion through MLflow / Unity Catalog into Triton serving - with the performance-critical hot paths engineered in Rust (PyO3/maturin) for sub-millisecond, high-QPS matching and detection. What you'll do • Lead and grow the team - mentor ML engineers, data scientists, and software engineers, and own hiring, onboarding, 1:1s, career development, and performance. • Set direction and deliver - set technical direction and standards, turn company and product goals into a prioritized roadmap, and own the quality, reliability, and delivery of the systems above across parallel workstreams. • Champion excellence and partnership - stay hands-on to review designs and unblock the team, drive engineering excellence (testing, observability, CI/CD, on-call, cost/latency), keep the team at the state of the art in ML, LLMs, and GenAI safety, and partner with Product, Platform, and GenAI-safety stakeholders. Leadership competencies • People-first: builds trust, grows engineers, and creates a healthy, inclusive, high-ownership culture. • Outcome-oriented: drives clarity, sets priorities, and delivers under ambiguity without micromanaging. • Technical credibility: earns the team's respect through sound judgment on architecture and trade-offs. • Systems thinker: balances short-term delivery against long-term platform health, cost, and tech debt. Requirements What we're looking for (must-have) • Leadership & communication - a proven people manager of engineering or data-science teams (or a strong tech lead ready to step into formal management), with excellent communication and stakeholder management. • Hands-on engineering and ML at scale - strong production Python and software-engineering background with solid ML / data-science foundations (training, evaluation, deployment, monitoring), running services at scale on AWS and Kubernetes and large-scale data on Spark/PySpark and a lakehouse (Databricks or equivalent). • AI-augmented engineering - deep, daily fluency with an AI coding assistant (Claude Code, Cursor, or Codex), with the judgment to raise the whole team's leverage and set how these tools are used well. Nice to have • Experience with LLMs / GenAI in production - prompting, evaluation, guardrails, red-teaming, or agentic systems. • Experience with model serving on NVIDIA Triton (or similar) and the MLflow / Unity Catalog lifecycle. • Familiarity with Rust and Python/Rust interop (PyO3/maturin) for performance-critical paths. • Background in GenAI safety and security, content moderation, or another domain where model quality has real-world stakes. • Experience with event-driven architectures (Kafka, SQS) and Infrastructure-as-Code (Terraform). About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description About Immunai: Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform. As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: As the AI Product Director for the core components of Immunai's AI modeling framework, you will be responsible for defining and driving its product strategy, requirements, and roadmap, as well as lead a team of product managers. By leveraging Immunai's AI capabilities and vast data assets, you will spearhead the development of a product designed to empower internal users and external customers to address real-world challenges in drug discovery and development. Partnering tightly with R&D, you will ensure alignment between product strategy, scientific priorities and business objectives. You will advocate for your product both internally and externally, and ultimately be accountable for the value and impact your product delivers. Location: Ramat Gan, Israel (Hybrid model) What will you do? • Establish the long term vision and strategy to advance our AI-powered analytical platform to enable Immunai’s mid and long-term goals • Responsible for defining the comprehensive roadmap and related PRDs for the analytical platform, focusing on optimizing analytical workflows, tackling predictive challenges, and enhancing model interpretability, as well as partner with business, R&D and ops to realize the roadmap • Evangelize the product, creating understanding and alignment across key stakeholders • Drive value creation for analytical platform users by enabling them to leverage our data assets effectively, both internally and in external collaborations • Ensure that our analytical platform development is effectively enabling and accelerating our product, business, and therapeutic goals Requirements Required qualifications: • 5+ years of experience in product leadership roles - a must • Extensive experience in building, scaling, and managing AI-driven products throughout the product lifecycle (bonus if it’s in life sciences), with a strong track record of collaborating closely with data scientists and deep learning researchers — a must. • Exceptional ability to operate effectively at both the high level strategic and roadmap level, as well as at the detailed, hands on level when necessary in a highly technical space • BSc or higher degree in a technical or scientific discipline; specifically an academic degree in life sciences is a big plus • Exceptional written and verbal communication skills to technical and non-technical audiences Desired personal traits: • You want to make an impact on humankind • You prioritize “We” over “I” • You enjoy getting things done and striving for excellence • You collaborate effectively with people of diverse backgrounds and cultures • You have a growth mindset • You are candid, authentic, and transparent *Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform Comeet. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/

Description About Immunai: Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system. We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process. Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We’re building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: We are looking for an AI Infrastructure Engineer to build the foundation that enables AI agents to reliably access and operate Immunai's internal systems, including code repositories, pipelines, datasets, and compute infrastructure. You will develop scalable, secure, and standardized infrastructure for agentic workflows, working closely with computational biology and engineering teams to continuously improve how AI supports research and development. This is a software infrastructure role, not a scientific modeling role, focused on building the systems that enable AI agents to operate effectively and safely. Location: Ramat Gan, Israel (Hybrid) What Will You Do? • Build Agent Infrastructure – Design and maintain infrastructure enabling AI agents to interact with internal systems, data, and compute. • Ensure Quality & Reliability – Establish testing, CI/CD, and evaluation standards for agentic workflows. • Implement Safety Controls – Build permissions, approvals, and audit mechanisms for autonomous agents. • Drive Continuous Improvement – Monitor agent behavior and usage to improve reliability and performance. • Scale Agentic Workflows – Support reliable autonomous and multi-agent operations across teams and users. • Optimize Efficiency – Manage performance, infrastructure costs, and compute utilization. • Collaborate Across Teams – Partner with research and engineering teams to enable AI-driven workflows. Requirements Required Qualifications: • BSc or MSc in Computer Science, Software Engineering, or a related field - a must • Hands-on experience with LLMs and agentic systems (agent frameworks, tool use, MCP, etc.), including production reliability - a must • 5+ years of hands-on experience in software engineering, designing modular, maintainable systems. • Proficiency in Python and cloud environments (GCP or AWS). • Experience with LLM/agent evaluation frameworks. • Experience with CI/CD, testing, and observability. Preferred Qualifications: • Experience with ML pipelines, experiment tracking, or MLOps tools (e.g., ClearML). • Background in biomedical or other data-intensive environments. Desired personal traits: • You want to make an impact on humankind • You prioritize “We” over “I” • You enjoy getting things done and striving for excellence • You collaborate effectively with people of diverse backgrounds and cultures • You have a growth mindset • You are candid, authentic, and transparent When you apply for a role at Immunai, we process your personal data (such as CV, contact details, and professional background) to assess your suitability for current and future roles. Your information may be shared internally with relevant employees and stored or processed by trusted service providers, some of whom may be located outside your country of residence. You can read more about how we process data here: https://www.immunai.com/privacy-policy/.

Description About Immunai: Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system. We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process. Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We’re building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: We are looking for an ML Infra Engineer to play a central role in evaluating, and deploying Immunai’s AI models. You will own and evolve Immunai’s benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization. This is NOT a core algorithmic research role - but rather, a role focused on building out the ML engineering infrastructure for the evaluation and deployment of models. Location: Ramat Gan, Israel (hybrid model) What will you do? • Own & Evolve Benchmarking – Design, build, and maintain Immunai’s benchmarking suite for foundation models and multimodal AI systems. • Define Core Abstractions – Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows. • Develop Metrics & Evaluations – Implement metrics that capture predictive performance, biological relevance, and multimodal alignment. • Support Model Development – Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration. • Bring in New Models & Baselines – Add external and internal models to benchmarks and ensure meaningful comparisons. • Explore Data When Needed – Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work. • Enable Rigor & Reproducibility – Ensure evaluations are consistent, well-versioned, and trustworthy over time. Requirements Required qualifications: • BSc, MSc, or PhD in Computer Science, Software Engineering, or a related field • Strong software engineering skills with experience designing maintainable, modular systems • 5+ years hands-on, industry experience working with ML models and evaluation pipelines - a must • Proficiency in Python and modern ML ecosystems • Ability to read, modify, and debug deep learning models • Experience with benchmarks, metrics, or evaluation frameworks — preferred • Familiarity with foundation models or multimodal learning — preferred • Comfort navigating complex datasets and doing targeted exploratory analysis • Experience in biomedical or other data-intensive domains — a plus Desired personal traits: • You want to make an impact on humankind • You prioritize “We” over “I” • You enjoy getting things done and striving for excellence • You collaborate effectively with people of diverse backgrounds and cultures • You have a growth mindset • You are candid, authentic, and transparent When you apply for a role at Immunai, we process your personal data (such as CV, contact details, and professional background) to assess your suitability for current and future roles. Your information may be shared internally with relevant employees and stored or processed by trusted service providers, some of whom may be located outside your country of residence. You can read more about how we process data here: https://www.immunai.com/privacy-policy/.

Description About Immunai: Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system. We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process. Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We’re building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: We’re seeking a Head of AI to lead research and engineering for multimodal foundation models and reasoning‑centric systems—from prototyping to reliable, secure, production deployment. The Head of AI will manage a group of deep learning researchers, computational biologists, immunologists and engineers and partner closely with product leaders and company leadership to convert cutting‑edge methods into high‑impact, mission‑critical capabilities. Location: Ramat Gan, Israel (hybrid model) What will you do? Group Leadership & Growth • Lead, mentor, and develop deep learning researchers, computational biologists, and machine learning engineers; set a high bar for scientific rigor, code quality, and delivery. • Establish clear ownership, role definitions, and growth paths; nurture a collaborative, low‑ego culture. Technical Strategy & Delivery • Own the AI roadmap and architecture; guide model design, evaluation, and productionization (training, serving, observability, safety). • Build scalable pipelines for transformers, multimodal fusion, and reasoning/agent frameworks; champion reproducibility, CI/CD for models, and cost‑efficient GPU/TPU utilization. Research Integration & Innovation • Stay current with the literature; run journal clubs and technical deep dives. • Evaluate, pilot, and integrate state‑of‑the‑art methods (advanced transformers, retrieval and tool‑use agents, causal/biological reasoning) into robust systems. Cross‑Functional Collaboration • Translate biological and clinical questions into tractable AI projects with measurable impact. • Communicate complex trade‑offs to peers and executives; align plans, risks, and milestones across functions. Mission & Impact • Prioritize initiatives that advance patient outcomes and create cumulative platform value. • Balance speed with scientific integrity, security, and compliance. Requirements Required qualifications: • People Leadership – 10+ years managing and developing technical teams (mix of deep learning researchers, data scientists, and ML engineers). • Engineering & AI Depth – Proven record architecting, building, and deploying large‑scale AI systems; strong software engineering foundations (Python, distributed systems, cloud, data platforms, MLOps). • Research Fluency – Up‑to‑date on modern AI; advantage for hands‑on work with transformers and reasoning/agent systems, or demonstrated ability to quickly partner with computational teams to connect the dots and make sound architectural choices. • Communication – Excellent written and verbal communication; able to align diverse stakeholders and influence at executive level, able to represent company’s AI vision externally. • Mission Orientation – Driven to improve patient outcomes; execution‑focused and committed to building durable value. • Collaboration & Low Ego – Highly cooperative, credits the team, and optimizes for collective success. Preferred Qualifications: • Strong advantage: Background in molecular biology/biomed, or success applying AI in complex, data‑rich, or regulated domains (e.g., computational biology, bioinformatics, immunology, healthcare). • Track record bridging research and product (publications, patents, or deployed systems with measurable impact). Desired personal traits: • You want to make an impact on humankind • You prioritize “We” over “I” • You enjoy getting things done and striving for excellence • You collaborate effectively with people of diverse backgrounds and cultures • You have a growth mindset • You are candid, authentic, and transparent When you apply for a role at Immunai, we process your personal data (such as CV, contact details, and professional background) to assess your suitability for current and future roles. Your information may be shared internally with relevant employees and stored or processed by trusted service providers, some of whom may be located outside your country of residence. You can read more about how we process data here: https://www.immunai.com/privacy-policy/.

Description About Immunai: Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system. We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process. Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We’re building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards. Location: Ramat Gan (Bursa area), Israel - Hybrid model What will you do? • Lead, manage, and develop a data infrastructure team of approximately 5-7 people. • Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement. • Lead agile ways of working, including scrum-based delivery practices. • Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure. • Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces. • Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows. • Drive improvements in team processes, technical quality, delivery predictability, and collaboration. • Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems. • Create an environment where team members can grow, contribute, and improve together. Requirements Required qualifications: • 5+ years of experience leading data engineering, data infrastructure, or related engineering teams, of 5+ people - a must • Strong technical background in data infrastructure, cloud computing, and production systems - a must • Hands-on experience with data warehousing tools such as Snowflake or BigQuery, and data pipeline orchestration tools such as Dagster or Apache Airflow - a must • Experience developing in Python • Experience productionizing big data, analytics, or data platform infrastructure • Experience leading agile teams and working with scrum methodologies • Demonstrated ability to lead multidisciplinary teams and collaborate effectively across interfaces. • Track record of helping teams improve how they work, including process improvement, automation, technical quality, or delivery practices. • Strategic mindset with the ability to connect technical decisions to team and business goals. • Strong English communication skills, written and spoken, for working with an international and multilingual team. Preferred qualifications: • Experience working in a scientific domain. • Experience in biotech, immunology, life sciences, or another biology-adjacent domain. • Experience with agentic AI concepts, tools, or development patterns. • Experience helping software or data engineering teams transition toward AI-first development processes. • Familiarity with modern automation practices across engineering workflows, infrastructure, and delivery pipelines. Desired personal traits: • AI-first and automation-oriented mindset. • Strong people's leadership instincts and a genuine drive to help others improve. • Collaborative, clear, and thoughtful communication style. • High ownership, good energy, and comfort operating across disciplines. • Curious, pragmatic, and able to balance strategy with hands-on technical judgment. When you apply for a role at Immunai, we process your personal data (such as CV, contact details, and professional background) to assess your suitability for current and future roles. Your information may be shared internally with relevant employees and stored or processed by trusted service providers, some of whom may be located outside your country of residence. You can read more about how we process data here: https://www.immunai.com/privacy-policy/.

Description About Immunai: Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system. We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process. Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We’re building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: We are looking for a Staff Architect, Data & AI Infra to shape, build, and scale the infrastructure that powers Immunai's data, AI, and research platforms. This is a senior player-coach role with broad architectural ownership across data infrastructure, ML infrastructure, developer experience, reproducibility, and production reliability. You will work across the wider engineering group as a hands-on technical architect, while also managing a small team of individual contributors focused on ML infrastructure. This role is ideal for someone who can move between long-term platform architecture and practical execution: defining standards, building core systems, mentoring engineers, improving reliability, and partnering with Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics, and Leadership to make Immunai's data and AI platforms scalable, reproducible, secure, compliant, and easier to use. Location: Ramat Gan, Israel (hybrid model) What will you do? • Architectural Leadership: Own and evolve the technical roadmap for Immunai’s data and AI platforms, ensuring scalable and reliable architecture that supports current needs and prepares for a multi-cloud future. • MLOps & Platform Development: Design and build end-to-end MLOps systems—covering experimentation, training, reproducibility, and deployment—while managing specialized infrastructure like BigQuery, orchestration tools (Dagster/Airflow), and R/Python workloads. • Infrastructure Strategy: Define and lead strategy for GPU resources (scheduling, utilization, batch compute) and establish engineering best practices, data architecture standards, and platform guardrails. • Developer Experience: Enhance developer productivity by building self-service platforms, automation, internal tooling, and reusable templates that simplify workflows and reduce operational friction. • Team Leadership: Act as a player-coach to mentor engineers and manage a small team of ICs, fostering a culture of sound decision-making and technical excellence across the broader group. • Security & Reliability: Partner with Security to enforce compliance (SOC2, HIPAA, GDPR) and access controls, while mitigating operational risk through improved observability, incident readiness, and robust support processes. Requirements Required qualifications: • 8+ years of industry experience in infrastructure, platform, data, or ML engineering, with a deep background in designing production infrastructure for data-intensive or AI/ML systems. • Hands-on expertise building and operating MLOps systems (for model development, training, and deployment) and managing GPU infrastructure, including scheduling, resource management, and utilization. • Proficient in managing data infrastructure technologies (e.g., BigQuery, data warehouses, object storage, orchestration systems like Dagster or Airflow) and operating within Kubernetes/containerized environments. • Demonstrated ability as a player-coach, including people-management experience or leading small engineering teams, with a focus on mentoring senior engineers and influencing technical direction. • Strong communication skills with the ability to partner effectively across diverse groups, including Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics and Leadership. Preferred qualifications: • Developer Platform & Velocity: Proven ability to build internal developer platforms, "golden paths," and self-service infrastructure that reduce operational friction and streamline workflows for research and engineering teams. • AI-First Transformation: Experience leading or guiding software and data engineering teams through the transition toward AI-first development processes, fostering adoption of new paradigms and tooling. • Compliance & Domain Expertise: Strong background operating within regulated environments (SOC2, HIPAA, GDPR) and applying infrastructure best practices to domain-specific fields such as biotech, life sciences, or bioinformatics. Desired personal traits: • You want to make an impact on humankind • You prioritize “We” over “I” • You enjoy getting things done and striving for excellence • You collaborate effectively with people of diverse backgrounds and cultures • You have a growth mindset • You are candid, authentic, and transparent When you apply for a role at Immunai, we process your personal data (such as CV, contact details, and professional background) to assess your suitability for current and future roles. Your information may be shared internally with relevant employees and stored or processed by trusted service providers, some of whom may be located outside your country of residence. You can read more about how we process data here: https://www.immunai.com/privacy-policy/.

Description We are looking for an exceptional Security Researcher to join Aqua’s world-class security research organization. Looking for an experienced researcher in the cybersecurity world with depth, and excellence in cloud-native security research. As a Security Researcher, you will work on deep technical research on several areas – working with other researchers, and transforming advanced offensive insights into scalable defensive capabilities. What You Will Do • Research and analyze sophisticated attack techniques targeting Linux-based cloud-native systems, including Kubernetes, containers, and serverless environments. • Reverse engineer Linux malware families to extract behavioral patterns, execution flows, and persistence mechanisms. • Study real-world threat actor techniques and translate findings into actionable detection, prevention, and hardening strategies. • Design and prototype advanced detection logic and observability mechanisms, including kernel- and runtime-level approaches (e.g., eBPF). • Influence Aqua’s security strategy by turning research insights into capabilities that protect large-scale production environments. • Collaborate closely with engineering and product teams to ensure research outcomes are impactful and scalable. Requirements • 4+ years of experience in security research with a strong focus on Linux-based systems. • B.Sc. in Computer Science or equivalent experience from a military, academic, or advanced technical background. • Deep, practical understanding of Linux internals (processes, syscalls, memory, networking, filesystems). • Strong experience with malware analysis and reverse engineering in Linux environments. • Proficiency in C and Python for low-level research, tooling, and prototyping. • Proven ability to analyze attacker behavior and design corresponding detection or mitigation strategies. • Strong familiarity with cloud-native technologies, including containers, Kubernetes, and container runtimes. • Excellent communication skills, with the ability to explain complex technical findings clearly and influence stakeholders.

Description Aqua Security is the leading pure-play cloud-native security company, protecting modern applications across containers, Kubernetes, serverless, and cloud environments. We're looking for a proactive and customer-focused IT Support Engineer to join our Global IT team and help deliver an exceptional technology experience for employees across our global hybrid organization. This is an excellent opportunity for someone early in their IT career who enjoys solving technical problems, supporting end users, and working with modern enterprise technologies including Microsoft 365, Intune, Entra ID, Windows, and macOS. If you're passionate about technology, love helping people, and are eager to grow within a global cybersecurity company, we'd love to meet you. What You Will Own • Prepare, configure, and deploy Windows and macOS laptops for new employees • Support employee onboarding and offboarding, ensuring a seamless IT experience • Provide first-line technical support for hardware, software, Microsoft 365, email, VPN, printing, and connectivity issues • Manage user accounts, permissions, and application access across Microsoft Entra ID and Microsoft 365 • Enroll and manage devices using Microsoft Intune or similar endpoint management platforms • Troubleshoot laptops, monitors, docking stations, Wi-Fi, peripherals, and workplace technology • Support password resets, MFA, VPN access, and identity-related requests • Track incidents and service requests through the IT ticketing system while maintaining excellent customer service • Maintain accurate inventory of laptops, accessories, licenses, and IT assets • Document technical procedures, troubleshooting guides, and knowledge base articles • Escalate infrastructure, cloud, networking, and security issues when appropriate • Help maintain a secure, reliable, and efficient IT environment for employees worldwide Why Aqua Security You'll join one of the world's leading cloud security companies, supporting employees who build technology used by some of the world's largest enterprises. You'll have the opportunity to: • Work with modern enterprise technologies in a cloud-first environment • Gain hands-on experience with Microsoft 365, Intune, identity management, and endpoint security • Learn from experienced IT, Security, and Engineering professionals • Grow your career in a fast-paced global cybersecurity company • Make a real impact by helping employees stay productive, connected, and secure every day If you're looking for an opportunity to build your IT career while working with cutting-edge technologies and an exceptional team, we'd love to hear from you. Requirements • 2+ years of experience in IT Support, Help Desk, Desktop Support, or a similar technical role • Hands-on experience supporting Windows and macOS • Experience configuring laptops, installing software, and troubleshooting end-user issues • Familiarity with Microsoft 365, Outlook, Teams, OneDrive, and SharePoint • Basic knowledge of networking fundamentals (TCP/IP, DNS, DHCP, Wi-Fi, VPN) • Familiarity with Microsoft Intune, Entra ID, or Active Directory is a strong advantage • Understanding of endpoint security, antivirus solutions, software updates, and device management • Strong customer-service mindset with excellent communication skills in English • Organized, detail-oriented, and eager to learn new technologies • Ability to prioritize multiple requests while delivering a great employee experience Nice to Have • Experience supporting hybrid or global organizations • Familiarity with ITSM platforms such as Jira Service Management, ServiceNow, Zendesk, or Freshservice • Experience with CrowdStrike, Cato Networks, or similar security solutions • Basic PowerShell or scripting experience • IT certifications such as CompTIA A+, Network+, Microsoft Fundamentals, or equivalent

Description Aqua Security is a global leader in cloud-native security, helping organizations secure modern applications across containers, Kubernetes, cloud, and on-premises environments. As AI transforms how organizations build, operate, and secure software, Aqua is investing in the next generation of intelligent security products, including AI-powered experiences, assistants, and autonomous and semi-autonomous agents. We are looking for a Senior Software Architect to lead the architecture and technical execution of Aqua’s AI products and shared AI capabilities. This is a strategic and hands-on role for an architect who combines strong backend and distributed-systems expertise with practical experience in data platforms, cloud architecture, web technologies, and AI systems. You will own the technical architecture from early concepts and proofs of concept through production delivery and operation. You will work closely with engineers, product managers, security researchers, and architects to turn emerging AI capabilities into secure, scalable, reliable, and maintainable products across SaaS and on-premises deployments. The successful candidate will provide hands-on technical leadership, help engineers resolve complex design and implementation decisions, and ensure that the architecture supports product quality, operational simplicity, and long-term evolution. What You Will Own • Define and drive the architecture of Aqua’s AI-powered products and shared AI capabilities across SaaS and on-premises deployments. • Design scalable backend services, APIs, data pipelines, data models, and storage solutions for AI and security workloads. • Lead architectural decisions across data ingestion, processing, retrieval, model integration, AI orchestration, and product integration. • Work closely with engineers throughout design and implementation, helping resolve complex technical decisions, trade-offs, and delivery challenges. • Provide hands-on technical leadership from early concepts and proofs of concept through production delivery and operation. • Design systems with clear controls for scalability, backpressure, bounded resource usage, resilience, data integrity, recovery, and observability. • Ensure solutions meet enterprise requirements for security, isolation, permissions, auditability, sensitive-data handling, and on-premises operation. • Define patterns for integrating AI models, retrieval systems, tools, workflows, and deterministic product capabilities. • Design AI-enabled workflows with quality, latency, cost, failure handling, model limitations, and operational complexity in mind. • Support the architecture and development of web-based AI experiences and their integration with backend services and Aqua product workflows. • Evaluate technologies and conduct proofs of concept to validate feasibility, performance, scalability, security, and operational fit. • Define and document architecture standards, technical guidelines, and reusable patterns for the AI team. • Review system designs and critical implementations, and mentor engineers on architecture, backend development, data systems, and production readiness. • Collaborate with Product and Engineering to balance customer value, delivery speed, technical risk, and long-term maintainability. • Partner with other architecture and platform teams to reuse existing capabilities and maintain alignment across Aqua products. Requirements • 8+ years of experience designing and building backend systems, including large-scale or distributed production systems. • Strong hands-on backend development experience, preferably with Python and Go. • Proven experience designing scalable APIs, services, data pipelines, and data-processing systems. • Strong knowledge of data modeling, relational databases, indexing, caching, and storage-system trade-offs. • Experience designing cloud architectures, preferably on AWS. • Experience designing products for both SaaS and on-premises deployments. • Strong understanding of Kubernetes, containers, distributed systems, networking, and modern deployment practices. • Experience designing systems for reliability, scalability, security, observability, recovery, and operational simplicity. • Experience with modern web development, including React, TypeScript or JavaScript, and npm. • Experience leading technical decisions from early concepts and proofs of concept through production delivery. • Experience driving architectural alignment across engineering, product, research, and architecture teams. • Demonstrated ability to work closely with engineers and provide practical guidance during implementation. • Excellent communication, technical documentation, and system-design skills. • Hands-on, pragmatic, and collaborative approach, with the ability to balance short-term delivery and long-term architecture. • Bachelor’s degree in Computer Science or equivalent practical experience. Nice to Have • Experience building AI, machine learning, analytics, or other data-intensive products. • Understanding of LLM-based architectures, including model integration, retrieval, tool execution, orchestration, and evaluation. • Experience designing AI-enabled workflows with cost, isolation, resilience, security, and quality controls. • Experience with vector search or similar technologies. • Experience building high-volume or near-real-time data pipelines. • Background in cloud security, cybersecurity, DevSecOps, or cloud-native products. • Experience supporting AI capabilities in restricted, disconnected, or resource-constrained on-premises environments. • Experience taking an AI or machine learning capability from early concept through production operation.

Description Aqua Security is a global leader in cloud-native security, protecting modern applications and workloads across containers, Kubernetes, serverless, and cloud environments. We are looking for an experienced Senior Linux Kernel Engineer to join our Runtime Security Group and help build the technology that protects workloads at runtime — where sophisticated attacks need to be detected and stopped. This is a highly technical, hands-on role at the intersection of Linux kernel development, cybersecurity, cloud-native technologies, and runtime protection. You’ll work on complex, low-level challenges that directly impact Aqua’s runtime security platform, designing and building scalable components for both cloud and on-prem environments. If you're passionate about Linux internals, kernel development, eBPF, and solving deep technical security challenges, this is an opportunity to work on technology that operates at the heart of modern cloud security. What You Will Own • Design and implement robust, scalable runtime security components for cloud and on-prem environments • Work deeply with Linux kernel internals, kernel modules, syscalls, and kernel/user-space interaction • Develop and optimize low-level components that enable runtime threat detection and protection • Leverage technologies such as eBPF for tracing, observability, security monitoring, and runtime protection • Take end-to-end ownership of complex technical initiatives — from architecture and design through implementation, testing, code review, and production delivery • Collaborate closely with software architects and senior engineers to shape technical direction and solve complex system-level challenges • Lead and contribute to technical PoCs evaluating new technologies and approaches • Work across the full software development lifecycle, maintaining high standards for code quality, performance, reliability, and security • Contribute to the evolution of Aqua’s next-generation cloud-native runtime security platform Why Aqua Security? At Aqua, you'll work at the forefront of cloud-native and runtime security, solving some of the hardest technical challenges in cybersecurity. You'll have the opportunity to: • Work on deep Linux kernel and runtime technologies • Build security capabilities protecting large-scale production environments • Work alongside world-class engineers, security researchers, and architects • Influence the technical direction of a leading cloud-native security platform • Take real ownership of challenging projects from concept to production • Work with technologies including Linux, eBPF, Kubernetes, containers, and cloud infrastructure This is not a role for someone looking to simply build another backend service. It's an opportunity to work deep in the operating system, understand how modern attacks operate, and build the technology that stops them. If Linux Kernel, eBPF, runtime security, and cloud-native technologies are your world — we'd love to talk. Requirements • 10+ years of software development experience with strong expertise in C/C++ or Go on Linux • 6+ years of hands-on Linux OS-level programming • 6+ years of Linux kernel development experience, including kernel modules, syscall interfaces, and kernel/user-space interaction • Deep understanding of Linux internals and low-level programming • Hands-on experience with eBPF, particularly in tracing, security monitoring, networking, or observability use cases • Strong understanding of operating systems, processes, memory, networking, and system-level performance • Proven ability to design and implement high-performance, reliable system components • Strong problem-solving skills and a hands-on approach to complex technical challenges • Excellent communication and documentation skills • Collaborative mindset with a strong sense of ownership and initiative Nice to Have • Experience working on cybersecurity products, particularly runtime, endpoint, or workload protection • Experience with containers, Kubernetes, and cloud-native environments • Experience working with Linux security mechanisms • Experience in Agile R&D environments • Background in developing security, observability, or infrastructure technologies

Do you love writing code as much as shaping the architecture around it? Do you enjoy taking a mature, data-heavy SaaS platform and making it faster, more reliable and easier to build on, with AI agents as part of how you work? Do you value work/life balance? If so, Oktopost is looking for you! When Oktopost was founded in 2013, social media was still a question mark in B2B marketing. We saw its untapped potential to drive real business results and built a platform to help marketers turn social into a measurable growth channel. Oktopost powers social media management and employee advocacy, enabling B2B companies to become truly social organizations. While our social suite enables marketers to manage, scale, and measure social media programs, our Marketing Intelligence solution empowers content and brand teams to build competitive strategies based on market insights. Trusted by global brands and fully integrated with the modern marketing tech stack, we're a dedicated team focused on helping our customers succeed. What You'll Do • Ship features across the stack, back end and front end, in your first months to learn the product, the codebase and the teams • Lead architectural and infrastructure initiatives end to end, from design to production: modernizing our mature PHP monolith, into microservices architecture, converting background processing to (TypeScript/Python) serverless on AWS, improving observability, and scaling our analytics on ClickHouse • Make key technical decisions and set best practices: system design, data models, code quality and testing, and when to bring in new technologies • Shape our agentic SDLC: how we plan, build, review and test with AI coding agents, and the guardrails around it • Write and review critical code across the stack, front end included, and mentor engineers through design and code reviews • Share ownership of production, including the on-call rotation • Work closely with Product, team leads and engineers across R&D to turn business needs into sound technical plans What We're Looking For • 8+ years of hands-on software development, building and running web applications at scale • 2+ years as a tech lead, architect or in a similar role, leading the design and delivery of cross-cutting projects • Strong experience with at least one backend language (PHP, TypeScript/Node.js, Python, Java, C# or similar) • Hands-on experience with an agentic SDLC: using AI coding agents (Claude Code, Codex, Cursor or similar) to plan, write, review and test code • Experience evolving a large legacy codebase: refactoring, upgrades and incremental migrations while the product keeps shipping • Deep experience with MySQL or another relational database, including data modeling and performance at scale • Hands-on experience with AWS • Hands-on experience with infrastructure as code (CloudFormation, Terraform, Pulumi or similar) • Excellent communication skills and the ability to work across teams and departments • Fluent English A Plus If You Have • Experience with PHP • Experience with more than one backend ecosystem, such as PHP alongside TypeScript or Python • Experience with a modern front-end framework, especially Vue.js • Experience designing and running serverless systems on AWS (Lambda, SQS, EventBridge, Step Functions, DynamoDB, OpenSearch Serverless) • Experience with analytical databases (ClickHouse or similar) • Experience with NoSQL, search and in-memory stores (CouchDB, OpenSearch, Redis or similar) • Experience with event-driven architecture and background processing at scale • Experience building LLM-powered product features • Experience working on complex B2B SaaS applications Life as an Oktoposter At Oktopost, we're a curious, collaborative, and driven bunch who believe in doing great work, and having fun while we're at it. We value ambition, creativity, and a healthy dose of team spirit, all wrapped up in a culture that encourages growth, innovation, and delivering real impact. No matter what department or region you join us from, you'll be part of a team that supports, celebrates, and challenges one another. From day one, we want every Oktoposter to feel empowered, inspired, and truly at home. We're a team that's genuinely passionate about B2B social. We believe social media can shape brands, spark meaningful conversations, and drive real business results, and we'd love for you to be part of our journey.

When Oktopost was founded in 2013, social media was still a question mark in B2B marketing. We saw its untapped potential to drive real business results and built a platform to help marketers turn social into a measurable growth channel. Oktopost powers social media management and employee advocacy, enabling B2B companies to become truly social organizations. While our social suite enables marketers to manage, scale, and measure social media programs, our Marketing Intelligence solution empowers content and brand teams to build competitive strategies based on market insights. Trusted by global brands and fully integrated with the modern marketing tech stack, we’re a dedicated team focused on helping our customers succeed. As a Senior Full-Stack Developer at Oktopost, you will be at the core of building and enhancing our B2B social media management platform. You will develop high-quality software, contribute to architectural decisions, and collaborate with cross-functional teams to deliver impactful features. With a strong focus on best practices, scalability, and performance, you’ll help shape the technical direction of our platform. If you're passionate about solving complex challenges and working across the stack, we’d love to hear from you! What You'll Do • Develop and maintain high-quality software solutions, from planning and design to testing, deployment, and maintenance. • Actively participate in technical discussions and contribute to architectural decisions. • Write clean, efficient, and scalable code while ensuring best practices in software development. • Collaborate closely with cross-functional teams, including Product, Design, and other developers, to deliver features effectively. • Provide technical guidance, share knowledge, and mentor other developers to improve overall team expertise. What We're Looking For • Ability to deep dive and understand technical features, complex design, and architecture. • Experience developing web applications and projects from scratch and at scale. • 5 years of experience with one or more general-purpose programming languages, including but not limited to Java, C#, C++, PHP, or Python. • 2 years of experience with front-end technologies including Javascript, CSS, HTML, and any modern JS framework (Vue.js, React, Angular). • Excellent communication skills, ability to collaborate with teammates and people from different departments. • Experience with MySQL or any other relational database. • Experience with OOP, design patterns, and architectural patterns. • Fluent English. A Plus If You Have • Experience working on complex SaaS applications. • Experience with Big Data systems, Event-Driven Architecture. • Experience with NoSQL and in-memory databases (MongoDB, CouchDB, Redis, or others). • Experience with analytical databases and processing large scales of data (ClickHouse, Apache Druid, or others). • Experience with AWS. Life as an Oktoposter At Oktopost, we’re a curious, collaborative, and driven bunch who believe in doing great work, and having fun while we’re at it. We value ambition, creativity, and a healthy dose of team spirit, all wrapped up in a culture that encourages growth, innovation, and delivering real impact. No matter what department or region you join us from, you’ll be part of a team that supports, celebrates, and challenges one another. From day one, we want every Oktoposter to feel empowered, inspired, and truly at home. We're a team that’s genuinely passionate about B2B social. We believe social media can shape brands, spark meaningful conversations, and drive real business results, and we'd love for you to be part of our journey.

About Sisense Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for global customers across financial services, retail, healthcare, and technology. With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating innovation in embedded analytics at scale. The Role As a Solutions Engineer, you will be a key technical partner to our Account Executives, helping to prove the value of Sisense during the sales cycle. You will lead technical discovery, design and deliver compelling proofs of concept, and act as a trusted advisor to customers evaluating our AI-powered embedded analytics platform. This is a high-impact, customer-facing role where you will combine deep technical expertise with strong business acumen to drive successful sales outcomes. Work Schedule: Monday – Friday (aligning with global markets) Key Responsibilities • Work closely with Account Executives throughout the deal cycle to demonstrate the technical value of Sisense. • Lead technical and business-focused discovery sessions to qualify opportunities and uncover customer needs. • Build, own, and deliver high-quality Proofs of Concept (PoCs) using the Sisense platform, including dashboards, data modeling, embedding (React/JS SDKs), and REST APIs. • Collaborate with internal teams (Customer Success, Services, Product, Engineering) to ensure smooth opportunity progression and successful handoff to post-sales. • Contribute to internal knowledge sharing, best practices, and enablement for the broader Sales and Solutions Engineering teams. • Stay current with analytics, AI, and embedded technology trends to provide strategic technical guidance. Requirements • 5+ years of experience in a technical, customer-facing role (Sales Engineering, Professional Services, Technical Account Management, or similar). • Strong ability to communicate complex technical concepts clearly to both technical and non-technical audiences. • Hands-on experience with SQL and modern analytics/BI platforms, data warehouses, and ETL tools • Proficiency with JavaScript or a JavaScript framework (React/Angular/Vue ); experience with embedding solutions is a strong plus. • Solid understanding of data analytics, BI, and modern data platforms. • Experience with cloud solutions and SaaS environments. • Ability to work independently while knowing when to escalate or pull in resources. • Fluent English. • Comfortable working in a fast-paced, remote environment with occasional early morning calls. Nice to Have • Experience with Python or other server-side languages. • Background in embedded analytics, AI/ML, or developer platforms. • Previous exposure to sales processes and value-based selling. Why Join Sisense This is an exciting opportunity to join a highly technical Sales Engineering team at a company that is shaping the future of embedded AI analytics. You’ll work on challenging, meaningful projects, collaborate with talented colleagues across the globe, and help customers unlock real business value with cutting-edge technology. If you’re a technical, customer-oriented professional who loves solving complex problems and driving technical sales, we’d love to hear from you.

About Sisense At Sisense, we are redefining how data and AI are embedded into modern software products. We empower modern product, data, and engineering teams to deliver AI-driven analytics, governed data models, and conversational insights directly inside their customer-facing applications and operational workflows. Through cutting-edge developer frameworks like Compose SDK, embedded AI Assistant capabilities, and integration protocols like MCP (Model Context Protocol), Sisense enables global software companies and enterprises to turn raw data into intelligent product features. Why Join Our Customer Success Team? As a Customer Success Manager, you will serve as the strategic and operational partner for a portfolio of international, high-growth Mid-Market and Enterprise SaaS and enterprise accounts. You will work closely with Product Managers, Data Engineers, Architects, and C-level executives to help them integrate Sisense deeply into their applications. Your goal is to drive rapid time-to-value, expand consumption (including our AI model/credit frameworks), maximize net retention (NRR), and ensure long-term platform growth. Work Schedule: Monday – Friday (aligning with global markets) What You’ll Do • Manage a dedicated portfolio of global Mid-Market and Enterprise accounts, acting as their trusted advisor and embedded analytics strategist. • Partner with customer engineering, product, and data teams to guide architecture, developer integration, and adoption of Sisense Intelligence & AI capabilities. • Build multi-threaded relationships across Product, R&D, and C-Suite stakeholders to align analytics strategy with business outcomes. • Plan and lead executive business reviews demonstrating tangible ROI, platform adoption, and business impact. • Partner with Solutions Architects, Product Management, Support, and Sales to advocate for customer needs and resolve complex technical blockers. • Proactively identify health risks, technical roadblocks, or adoption gaps, implementing proactive mitigation strategies. About You • You are comfortable discussing SaaS architecture, embedded software development, APIs, and data infrastructure with developers and product managers. • You have a proven track record of managing enterprise renewals, expansion goals, and complex commercial conversations. • Exceptional written and verbal communication skills in English, capable of presenting complex technical and business concepts to C-level executives. • Agile, adaptable, and comfortable navigating fast-changing technologies (including AI tools and modern analytics architectures). Requirements • 4+ years of experience as a CSM, Technical Account Manager, or Solutions Consultant managing Mid-Market or Enterprise B2B SaaS accounts. • Direct experience in the Analytics, Data Engineering, Business Intelligence (BI), DevTools, or API-first SaaS space. • Proven track record of managing complex commercial negotiations, renewals, and revenue retention targets. • Experience working directly with technical persona groups (Data Engineers, Product Managers, R&D Leads, VP Engineering). • Strong understanding of data modeling, SQL, API integrations, or SDK-driven architectures is a major plus. • Ability to work Monday through Friday to align with international global markets. • Native/Fluency in English (written and spoken). How You’ll Ramp By Day 30 • Complete Sisense onboarding and technical enablement, gaining a deep understanding of our platform, Compose SDK, and Sisense Intelligence (AI) features. • Shadow customer calls, executive business reviews, and platform onboarding sessions. • Build relationships with internal technical partners (Solutions Architecture, Support, Product). By Day 60 • Take full ownership of your global book of business. • Formulate strategic account penetration and risk-mitigation plans for key accounts. • Lead your first technical adoption and business review sessions with client executives. By Day 90 • Operate as a trusted advisor to your accounts, driving adoption of Sisense AI/embedded capabilities. • Drive predictable renewals, identify upsell opportunities, and contribute directly to NRR growth.

Description The Loox story is likely one you haven’t heard before. Founded in 2015, we’re a bootstrapped product-led company that has grown to over 130,000 customers, 500 million users per month and millions of annual revenue. As the leading social proof solution for Shopify stores, our main focus now is expanding our platform to additional products and markets. Each new challenge requires different skill sets, and we’re forming a core team of creative innovators to lead us there. This is a unique opportunity to be part of an organization that has the resources and scale of an established company and the energy, speed and team-size of an early-stage startup. What’s the opportunity: We're looking for a full cycle Sales Development Representative (SDR) to drive growth across our product suite. You'll own the entire sales motion - from the first cold call to close - as you upsell and cross-sell the Loox Convert plan and Reviewers.com to Shopify merchants. This isn't a traditional lead-gen SDR role. You'll be the direct link between our merchants and our Product and Marketing teams, turning every call into an opportunity - whether that's a merchant upgrading their plan, one who churned telling us why, or a new merchant discovering Reviewers.com for the first time. If you're a self-starter who loves to sell, enjoys owning a process end to end, and is comfortable digging into data to sharpen your approach, we'd love to meet you. What you'll do • Cold call Shopify merchants to upsell and cross-sell the Loox Convert plan and Reviewers.com. • Call merchants who uninstalled the app or haven't yet selected a plan to understand why and gather feedback. • Run demo calls for Reviewers.com, showcasing its value to prospective merchants and helping them create their first campaign. • Synthesize merchant feedback and share clear, actionable insights with our Product and Marketing teams. • Analyze call and pipeline data to identify trends, spot opportunities, and continuously improve conversion. • Run the day-to-day operations of the sales effort, including pipeline management, tracking, and reporting. Requirements • Native English speaker with a strong understanding of Hebrew. • 2-3 years of previous experience in a full-cycle sales, SDR, or account management role. • Confident, natural cold-caller who's comfortable owning conversations from first contact to close. • Excellent written and verbal communication skills. • Comfortable working with data and using it to inform decisions. • Highly organized self-starter who enjoys building and running processes from scratch. Nice to have • Experience selling into the Shopify or eCommerce ecosystem. • Experience with CRM and sales engagement tools. • Familiarity with Loox and/or Reviewers.com. Working hours This is a hybrid role with a mix of Israeli and American hours: • Sunday: OFF • Monday: 10:00 - 19:00 in office in Ramat Gan • Tuesday: 14:00 - 23:00 work from home • Wednesday: 14:00 - 23:00 work from home • Thursday: 10:00 - 19:00 in office in Ramat Gan • Friday: 9:00 - 18:00 work from home

Description The Loox story is likely one you haven’t heard before. Founded in 2015, we’re a bootstrapped product-led company that has grown to over 130,000 customers, 500 million users per month and millions of annual revenue. As the leading social proof solution for Shopify stores, our main focus now is expanding our platform to additional products and markets. Each new challenge requires different skill sets, and we’re forming a core team of creative innovators to lead us there. This is a unique opportunity to be part of an organization that has the resources and scale of an established company and the energy, speed and team-size of an early-stage startup. What’s the opportunity: We're looking for a Customer Support Engineer who has a passion for helping customers to join our support team and get the most out of our product. In this role, you’ll be the point of contact for our customers, responsible for solving problems and ensuring they have the best experience with our product and our team. We're looking for someone energetic, tech-savvy, who has high-level English and superb interpersonal skills. ** The position is full-time and requires the availability to work up to two evenings a week and 2 weekend shifts per month (Friday morning / Saturday Night).** As a Customer Support Engineer at Loox, you will: • Be in charge of our customer happiness and deliver amazing service. • Become a product expert who knows the ins and outs of what Loox has to offer by helping our customers maximize the value they receive from us. • Proactively identify opportunities and optimization points to help our customers grow. • Represent the customer voice internally in Product, Marketing, and Business Development discussions. What you’ll need: • At least 1 year of experience in customer service-facing roles. • High-level English and spoken Hebrew (native or bilingual proficiency) - Must. • Ability to communicate effectively with customers and teammates - Must. • Knowledge of web technologies such as HTML & CSS. • Strong troubleshooting capabilities. • Ability to work in an agile, fast-paced, and dynamic environment.

Description The Loox story is likely one you haven’t heard before. Founded in 2015, we’re a bootstrapped product-led company that has grown to over 130,000 customers, 500 million users per month and millions of annual revenue. As the leading social proof solution for Shopify stores, our main focus now is expanding our platform to additional products and markets. Each new challenge requires different skill sets, and we’re forming a core team of creative innovators to lead us there. This is a unique opportunity to be part of an organization that has the resources and scale of an established company and the energy, speed and team-size of an early-stage startup. What’s the opportunity: We're looking for a Content Marketing Manager, who has a passion for content creation and turning ideas into execution, to join our content team. In this role, you’ll own our content strategy end-to-end, from ideation to execution, across blogs, email, and social, using data and AI. As a Content Marketing Manager at Loox, you will: • Own end-to-end content creation process, from ideation to execution, for diverse marketing assets including blogs, emails, social media, and co-marketing. • Manage and optimize email campaigns using marketing automation platforms (e.g., Customer.io) • Own the execution of our content calendar across all owned and earned media channels. • Adopt and champion AI tools to streamline content production and operational workflows. • Collaborate with marketing, design, and product teams ensure content is accurate, on-brand, and delivered on time. • Contribute to UX copy as needed - in-app messages, tooltips, upgrade flows, and similar touchpoints. What you’ll need: • 3+ years of hands-on experience as a content marketer and/or writer in a SaaS environment - Must. • Proven experience using AI tools for content creation and process optimization - Must. • Native English speaker and Hebrew speaker - Must. • A data-driven mindset with experience using analytics to measure content performance and inform strategy. • Experience using email marketing automation tools - Advantage. • Working experience in eCommerce - Advantage.

Description Duve is a fast-growing hospitality tech company transforming how hotels and vacation rentals connect with their guests. Our platform helps them deliver personalized, digital guest experiences at scale from the moment a booking is made and throughout the entire stay. Founded in 2016 and headquartered in Tel Aviv, Duve is trusted by 1,000+ customers across 70+ countries, serving millions of travelers worldwide. Following a $60M funding round, Duve is entering its next phase of growth, with AI playing a central role in the evolution of our platform. As we continue to expand globally, we’re investing in advanced technology to shape the future of guest experience and how hotels and vacation rentals operate and connect with their guests. About this Role As a Senior Backend Engineer On our Platform team, you’ll play a key role in designing and building Duve’s modern, scalable Node.js platform. You’ll work on a high-scale, high-throughput Cloud based SaaS B2B2C system integrated with some of the biggest names in hospitality. Our platform processes millions of events across booking channels, hotels, and guests-and runs 24/7 to power mission-critical workflows that our customers and the entire Duve ecosystem depend on. You're great fit If you are • A great person, an independent worker and a team player • A fast learner with a desire to work on high scale, mission critical systems. • Love complex challenges and you’re a problem solver • Love building new things and improving existing ones • Fluent in English and a great collaborator working with 3rd party partners Requirements • 6.5+ years of professional software engineering experience, with strong depth in Node.js backend development. • 2+ years working with MongoDB and Redis in production environments. • Deep understanding of system design of high scale high throughput, distributed systems. • Deep understanding of SDLC, SOLID principles, clean code and refactoring • Hands‑on experience with message queues (Kafka/RabbitMQ or similar). • BSc in Computer Science or equivalent education or military experience from a technological unit. • Experience with React.- Nice to have What you'll do • Design and build high quality scalable microservices and infrastructure that works with dozens of third parties APIs sending and receiving millions of events. • Collaborate with engineers from third party companies to build additional integrations with many types of providers and their APIs. • Mentor developers via code reviews and contribute to technical architecture decisions • Optimize MongoDB performance by improving query patterns, indexes, and schemas; use Redis for caching and performance‑critical paths. • Troubleshoot bugs, refactor code for scalability, and ensure high responsiveness through performance tuning.