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We are seeking a Senior Applied Researcher/ Data Scientist to join core product organization, where you will build and deploy next-generation AI models powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). The role centers on building and scaling intelligent systems powered by LLMs, advanced ML techniques, and agent-based architectures.
You will join a team within Cyber R&D organization, leading the companys core product portfolio-while driving AI innovation and setting best practices across the domain. The group focuses on developing next-generation technologies, including training and optimizing LLMs and building advanced multi-agent workflows, while mentoring data scientists across R&D.
As a key technical leader, you will guide the evolution of our AI capabilities-converting cutting-edge ideas into impactful, production-ready systems and shaping our long-term direction.
We are looking for visionary applied researchers eager to take on ambitious challenges and push the boundaries of AI in cybersecurity.
The Responsibilities:
Design and build advanced AI models and systems that power core products and address real-world cybersecurity challenges.
Own initiatives end-to-end from identifying customer-driven problems and shaping solutions to experimentation, prototyping, and production deployment.
Drive forward new ideas and research directions, turning emerging concepts into practical, scalable solutions.
Influence the organizations roadmap and contribute to long-term technical strategy across AI and product landscape.

We are seeking a Senior AI Engineer to join core product organization, where you will design, build, and scale next-generation AI systems powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). This role focuses on developing production-grade systems leveraging LLMs, advanced machine learning, and agent-based architectures.
You will join a team within Cyber R&D organization-leading the companys core product portfolio- while driving AI innovation and establishing engineering best practices across the domain. The team focuses on building and optimizing large-scale AI systems, including LLM-based solutions and advanced multi-agent workflows, working closely with data scientists and researchers to bring ideas into production.
The Responsibilities:
Design, build, and own end-to-end AI solutions- from data collection and preprocessing to model training, evaluation, and production deployment.
Optimize systems for performance, scalability, and reliability in production environments.
Collaborate closely with product, design, and engineering teams to identify and deliver AI-driven capabilities that address real customer needs.
Stay up to date with emerging AI/ML technologies, frameworks, and best practices, and apply them where they create real impact.
Work across the stack, contributing to backend systems and data pipelines that support large-scale AI applications.
Troubleshoot and resolve complex system issues, including performance bottlenecks, race conditions, and memory-related challenges.
Approach problems with a strong analytical mindset, delivering robust solutions while contributing to a high-performing, collaborative team environment.

Were looking for a highly technical, automation-driven Hubspot expert to own and optimize our HubSpot ecosystem and the workflows that power our Sales teams. If you enjoy building scalable automations, integrating tools and solving operational challenges with low/no-code vibe coding, youll thrive in this role.
Why Youll Love This Role:
High ownership of GTM systems and automation infrastructure.
Ability to build workflows that directly impact growth and operational efficiency.
Fast-moving environment with room for creativity, experimentation, and innovation.
Meaningful cross-department influence, helping unify Sales, Product, and R&D priorities.
Hiring manager: Nir Slonim, VP M&A (Linkedin profile)
Responsibilities
HubSpot Ownership
Serve as the primary owner of HubSpot across Marketing, Sales, and Service Hubs.
Build and optimize workflows, pipelines, properties, scoring models, and lifecycle automations.
Maintain HubSpot data hygiene, architecture, naming conventions, and user setup.
Automation & Integrations
Design and maintain advanced automations using external no-code tools (Zapier, make.com, and etc.) and working closely with the Product & R&D departments.
Troubleshoot sync issues, workflow conflicts, and integration failures.
Data, Reporting & Insights
Work with Product and Data to define which data is collected and how to visualize it.
Build and maintain dashboards that track sales activity, deal flow, and performance trends.
Process Design & Optimization
Map, refine, and automate processes for lead management, lifecycle stages, routing, handoffs, etc.
Identify operational gaps and implement scalable solutions.
Create documentation, training, and best practices for GTM teams.
Cross-Functional Collaboration
Partner closely with Marketing, Sales, CS, and Product to translate operational needs into system builds.
Support team enablement on HubSpot tools, dashboards, and automations.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world security research. You'll help us harness the power of trillions of security signals to rapidly diagnose and alert the latest attacker behaviors, drive critical context-rich signals, construct new tools and automations to support customers, identify threats, and detect advanced attacker techniques.
The Responsibilities:
Analyze various network devices, configurations and security products
Implement methods and algorithms to discover network topology, relationships between devices and potential lateral movement paths
Conduct network security assessments to identify weaknesses in customers network infrastructure, and recommend mitigations to monitor and limit unauthorized access
Develop research tools and frameworks to perform automatic analysis of network devices and security products
Research and analyze network-related cybersecurity threats and trends
Work closely with other internal engineering and AI teams to integrate new capabilities into our platform and guide cross-product architectural decisions
Act as a security subject matter expert for multidisciplinary teams

we are looking for a Research Scientist - Sovereign AI Research.
We are hiring across the following specializations. We expect depth in at least one area and the intellectual range to collaborate across them.
Computer Vision: object detection, segmentation, multimodal grounding, vision-language models, contrastive and self-supervised representation learning, low-resource and few-shot visual recognition.
NLP / Speech: LLMs, NERs, relation extraction, span-based and generative IE, semantic textual similarity, multilingual and cross-lingual transfer.
Reinforcement Learning: MDPs, POMDPs, model-based and model-free RL, Online Offline methods, reward modeling, sim-to-real transfer, compute-aware planning.
Graph Learning: GNNs, graph clustering, community structure, generative methods, knowledge graph embeddings, dense and sparse semantic retrieval.
Optimization: convex and nonconvex optimization, constrained and Lagrangian methods, combinatorial and integer programming, knowledge distillation (response, feature, and relation-based), test-time optimization, Bayesian optimization, resource-aware inference.
Representation Learning: contrastive learning, self-supervised and unsupervised pre-training, disentangled representations, metric learning and embedding spaces, cross-modal and multimodal alignment, meta learning (hypernetworks), transfer learning and domain adaptation, probing and interpretability of learned representations, world models.
Neurosymbolic AI: neuro-symbolic integration, differentiable theorem proving, inductive logic programming (ILP), probabilistic soft logic (PSL), causal inference and structural causal models (SCMs), programmatic and compositional reasoning
Responsibilities:
Define and execute a research within your track, experiments, quality gates, and upper bounds in rigorous manner.
Collaborate across tracks on system integration and cross-disciplinary research.
Collaborate work with engineering teams until production.
Mentor junior researchers and contribute to a culture of technical excellence

we are a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries.
The Account Manager is a key player responsible for nurturing and growing client relationships within our enterprise-level accounts. Collaborating with the Account Management Regional Lead, you'll drive revenue generation, manage partnerships, and contribute to RFPs. The ideal candidate leverages AI-powered workflows and automations to enhance customer engagement, streamline account management activities, and improve operational efficiency.
Responsibilities:
Build and maintain strong client relationships by understanding their unique needs and objectives, managing overall partnerships, and addressing escalations with internal teams to ensure SLAs are met.
Drive revenue growth by identifying opportunities for upselling and cross-selling within client accounts. Collaborate with the Regional Lead and internal teams to develop and execute amendments supporting new solutions.
Ensure exceptional service delivery by meeting and exceeding client expectations, promptly addressing and resolving issues, and conducting regular partnership calls to understand clients' business needs and future plans.
Collaborate with the Regional Lead and stakeholders to support RFPs and RFIs, contributing to the development of compelling proposals showcasing the company's value proposition, and participating in RFP interviews with the Sales team.
Strive to achieve individual and team KPIs as defined by the organization, continuously monitor progress, and take corrective actions when necessary. Ensure alignment with the Service Delivery team and address issues proactively.
Optimize client interactions and sales strategies by utilizing playbooks and processes. Provide valuable feedback and suggestions for process improvements based on real-world client experiences.
Leverage AI-powered workflows and no/low-code automations to streamline account planning, customer communications, reporting, opportunity identification, and account management processes, improving both team efficiency and customer experience.