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Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," our company is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless company ronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
As UI/UX Designer, you will play a critical role in designing intuitive and visually appealing user interfaces for our web & software properties. We are looking for someone who is self-driven, enjoys working with a fast-paced team, and has experience designing dynamic web & software experiences. You will collaborate closely with cross-functional teams including product management, engineering, and customer success to create exceptional user experiences that meet our customers' needs and enhance their interactions with our company.
What you'll do
Break down intricate B2B workflows into intuitive, end-to-end user journeys, from overwhelming configuration to guided, logical steps users can complete confidently.
Design in Figma within a mature design system, tokens, components, and variants. Keeping work aligned with shared patterns, not one-off screens.
Build and iterate interactive prototypes(including AI-assisted tools such as Cursor) to validate flows, states, and edge cases before and after engineering handoff.
Work closely with engineering throughout the lifecycle, including technical discovery, design reviews, implementation QA, and post-ship iteration, at every level from implementation detail to architectural constraints.
Apply product thinking, frame problems around user and business outcomes, prioritize ruthlessly, and connect design decisions to adoption, support burden, and roadmap impact.
Own projects end-to-end- problem framing, information architecture, interaction design, microcopy collaboration, developer-ready specs, and design QA through implementation.
Collaborate as a team and operate independently. Lead your own workstreams while partnering daily with the design team, engineering, and other architect

Required GTM AI Engineer
About the role:
Our Revenue Operations team has already begun experimenting with AI agents and automation across the go-to-market lifecycle. Weve seen enough to know there is a much bigger opportunity.
Now were looking for an AI builder to take that from experimentation to a real capability across the Go To Market teams.
Youll identify high-value opportunities, build and deploy AI-powered workflows and agents, create the foundations that allow them to operate safely in production, and help define how AI becomes part of the everyday operating model for our GTM organization.
This is a hands-on builder role with broad ownership. Youll work across Sales, Solutions, Customer Success, Marketing and RevOps, combining engineering ability with a strong understanding of how commercial organizations actually work.
What you'll do:
Build AI into the GTM lifecycle- Design and ship agents, automations and AI-powered workflows across areas such as prospecting and enrichment, lead management, account planning, deal support, approvals, pipeline management, forecasting, call intelligence and expansion.
Turn prototypes into production systems- Take promising internal experiments and build them into reliable services that can be used across the organization. Youll work with our engineering and DevOps teams to make sure what we build is secure, maintainable and scalable.
Design for trust and appropriate autonomy- Define where AI can act independently, where people should remain in the loop, and how those boundaries are enforced. Youll build the evaluation, monitoring, permissions and audibility needed for agents that interact with real commercial systems and data.
Build on strong data foundations- Agents are only as useful as the systems and data they can rely on. Youll work across our CRM, GTM tools and data warehouse to improve how information is connected, structured and made available to AI-powered workflows.
Measure real business impact- We care less about the number of agents shipped than what they change. Youll measure impact through outcomes such as faster cycle times, better data quality, higher productivity, improved conversion or time returned to teams - and communicate that impact clearly to the business.
Make the whole organization more capable- You wont be the only person building with AI. Part of your role is creating the patterns, tooling and standards that allow others to build safely and effectively - while making it easy for the wider organization to discover, trust and use what has been created.

Were looking for a Product Marketing Manager, part technologist, part storyteller, and deeply hands-on in turning complex cloud security concepts into clear, compelling narratives that resonate with engineers and security leaders. Youll think like a security engineer and write like a product marketer, creating technical content, product narratives, launch assets, and enablement materials that explain not just what we do, but how it works and why its architecturally different.
This is a hands-on, high-impact role where youll bring technical strategy to life through content. Youll report to the Head of Product Marketing and collaborate closely with Product, Engineering, Demand Gen, Sales, and leadership to turn complex innovation into market-ready messaging and assets that drive real pipeline impact.
What Youll Do:
Own the technical narrative for Go To Market Enablement. Partner with Product to define use cases, and build supporting assets and training material for new features and releases.
Create and execute high-impact technical content. From deep-dive technical blogs and solution guides to architecture explainers and product landing pages, youll produce content that security engineers and cloud teams actually want to read.
Partner closely with Content Marketing to translate complex messaging into creative content formats and experiences across written, social, video, etc.
Translate complex architecture into clear value. Turn runtime telemetry, eBPF instrumentation, Kubernetes metadata, identity context, and API flow mapping into differentiated, defensible positioning.
Support demand with technical credibility. Collaborate with Demand Gen to provide strong technical angles for campaigns, content offers, and field programs that educate buyers over time, not just capture leads.
Develop competitive and market POVs. Analyze the CNAPP and cloud security landscape to create technically grounded differentiation and comparison assets that stand up to scrutiny.
Keep our technical voice sharp. Ensure our product storytelling is precise, modern, and human, authoritative when discussing architecture, and approachable when discussing customer value.

Required Senior/Principal Backend Engineer - Application (Cortex Platform)
Job Summary
As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We are looking for someone who is not only strong technically, but also enjoys joining a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Key Responsibilities:
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

Required Machine Learning Engineer II - GenAI applications
ID 30497
This opening is for the GenAI Applications Team within the Data & AI Marketplace department.
The GenAI Applications team is responsible for designing and delivering agentic, ML-powered solutions for some of our most impactful products, including booking search experiences, trip planning, and trip helpfulness. The team builds AI-driven applications and conversational agents, such as chatbots and intelligent assistants, that significantly enhance the end-to-end customer experience.
Role Description:
In this role, you will design, build, and operate production-grade AI/machine learning applications for GenAI products. You will integrate foundation models with data, services, and tools; build agent workflows and own the systems end to end, including their reliability, observability, tracing, and quality. You will work closely with software engineers, ML scientists, and product teams to deliver scalable applications for travelers.
Key Job Responsibilities and Duties:
Design, build, and productionize AI and agent-based systems by integrating LLMs with data, services, tools, and ML models. Develop the workflows needed to deliver complete product experiences, ensuring they are scalable, efficient, reliable, and accurate.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Build and maintain production-grade ML applications and tooling, including service and API integrations, testing, deployment, and CI/CD. Work with software engineers and DevOps to ensure reliable inference and maintainable operation in production.
Own ML applications and services end to end. Instrument them with metrics, logs, and traces; monitor application health, performance, reliability, and model output quality; and investigate issues and drive improvements when targets are not met.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

We are looking for a Technical Customer Success Manager to own our customer base outside the United States as we scale internationally. Reporting to the VP, Customer Success, you will take ownership of multiple accounts across Israel, Europe, and APAC, acting as both the commercial and technical point of contact for the region. A core focus of this role is driving renewals and upsell/expansion revenue - you will drive retention and growth across your territory as a key lever for the companys overall growth.

Key Responsibilities

Drive renewals and expansion revenue for the rest-of-world region as a primary goal - drive net revenue retention (NRR) through proactive renewal management and upsell/cross-sell strategy
Own the post-sale customer lifecycle end-to-end across multiple accounts in Israel, Europe, and APAC: onboarding, adoption, technical health, renewals, and expansion
Serve as both the commercial and technically credible point of contact for your portfolio, engaging directly with security engineers, platform teams, and CISOs
Drive deployment coverage and adoption - monitor the gap between what a customer is paying for and what they have actually instrumented, and act on it
Own runtime policy tuning, integration depth, and the quality of the signal Oligo delivers to customer internal workflows and environments.
Run business reviews framed around security outcomes and product usage
Operate a tiered coverage model: high-touch engagement for strategic accounts, and a lighter, Support-assisted motion for the long tail
Build and maintain health scoring and risk assessment for the region, surfacing churn risk early enough to act on it
Build and continuously improve the regional renewals and expansion motion, including forecasting, pipeline management, and risk mitigation for at-risk accounts
Partner closely with Sales on renewal and expansion opportunities, and with Product and R&D to feed regional customer insights into the roadmap
Partner with the Technical Account Manager and the Global Support & Operations team on onboarding, escalations, and anything requiring engineering attention
Act as an escalation point for critical customer issues across the region
Represent the voice of the rest-of-world customer in internal strategy and product discussions
Help define how Oligo covers the region as the customer base grows, building repeatable process rather than one-off solutions