לוח משרות דרושים, לחיפוש זה נמצאו 34,130 משרות

Required IT Support Specialist (Tier III)
We deliver AI-powered sales training to enterprise customers worldwide. As our IT Support Specialist, you will lead the company's IT function as a one-person team within DevOps, supporting employees across Israel, the US, and EMEA. Serving enterprise customers means enterprise-grade expectations land on a startup-sized function: the role spans day-to-day support through to strategic projects that keep the company secure, compliant, and productive.
Responsibilities:
Manage the Windows and macOS device fleet through Microsoft Intune, including hardware provisioning and office infrastructure (networking, meeting rooms)
Administer identity and access in Microsoft Entra ID, including Conditional Access, MFA, and SSO/SCIM
Operate security tooling, including Microsoft Defender, patch management, and email authentication (DMARC/DKIM), and lead the response to security incidents
Administer the company's SaaS and AI tools (Claude, Microsoft Copilot, Cursor, MCP integrations), covering provisioning, licensing, and approval
Manage employee access to cloud platforms and internal systems (GCP, Azure, GitHub, VPN)
Support ISO 27001, ISO 42001, and SOC 2 compliance, including audits, access reviews, and security awareness training
Own the onboarding and offboarding process, ensuring new hires are fully equipped before their first day
Manage the IT service desk (Jira Service Management) and maintain the IT knowledge base
Automate recurring tasks using Python, PowerShell, and the Microsoft Graph API
Manage IT vendors, licensing, and associated costs.

Were seeking a Conversational Quality Specialist to help shape and continuously improve voice-based experiences across our platform. This role sits at the intersection of conversation design, AI interaction quality, and cross-functional collaboration. You'll work with product, sales, marketing, and NLP teams to ensure our AI conversations are effective, natural, and engaging.
What Youll Do
Design Engaging Interactions:
Create, edit, and optimize prompts, scripts, and dialogue flows that feel intuitive, realistic, and aligned with human communication patterns.
Enhance Demo Experiences:
Collaborate with sales and marketing to craft compelling demo conversations that showcase the power of our AI.
Evaluate Conversation Quality:
Review real user-AI conversations to assess performance, highlight successes, and uncover improvement opportunities for our core conversation engine.
Define Quality Metrics:
Develop and implement conversation quality frameworks and metrics to evaluate effectiveness, user engagement, and learning outcomes.
Support Multi-Language Rollout:
Oversee and advise on multilingual implementation to ensure high-quality experiences across regions.
Stay Ahead of the Curve:
Keep up with best practices in conversation design, LLM-native UX, voice AI trends, animated avatars, user interaction models and any new technology that is expected in conversations.

We're looking for a technical support engineer with 2-3 years of experience to own the support queue for our enterprise customers, most of them in the US. You'll dig into the logs and the data to find out why something broke, and help run customer data migrations and the monitoring that catches problems before customers do.
What Youll Do:
Own the Support Queue: Take tickets from first response through resolution. You are responsible for meeting our response times, keeping every open ticket moving, and closing standard issues on your own.
Investigate Before You Escalate: Reproduce the problem, read the logs and the data, and isolate the cause. When something needs engineering, it reaches them with findings and evidence rather than a forwarded complaint.
Communicate with Customers: Keep customers informed in writing, manage expectations honestly, and stay credible even when the answer is not ready yet.
Run Customer Data Migrations: Map and validate customer data as it moves into, and catch the records that don't fit before the customer does.
Write the Help Center: Turn what you solve into articles on common actions and troubleshooting, so the answer exists the next time someone asks.
Build Customer Enablement: Create and maintain a library of short workflow recordings, and run group training sessions, webinars and office hours as the role grows.
Monitor Proactively: Build and run monitors over our observability stack, triage the alerts they raise, and reach out to customers before they notice the problem themselves.

Were looking for a a senior backend engineer with 6+ years of experience, playing a key role in building impactful, user-centric products from the ground up. As part of the companys early engineering team, youll help shape both the product and the engineering culture, own backend architecture, lead end-to-end feature development, and drive technical excellence while collaborating closely with product, design, and infrastructure in a fast-growing environment.
What Youll Do:
Define and evolve the backend architecture, infrastructure and development best practices for a fast-growing team.
Own features end-to-end - from concept and design discussions to implementation, deployment and observability.
Solve complex challenges in distributed systems, event-driven architectures and real-time data pipelines.
Continuously improve developer workflows - identify friction, integrate new tools, automate repetitive tasks and champion engineering excellence.
Lead and mentor a small team of engineers: drive planning, break down work, ensure quality delivery and help hire exceptional talent.
Collaborate with experienced peers - engineers, PMs and designers - whove built large-scale systems at top-tier companies.
Here are some of the technologies we work with: Golang, Python, Protobuf, React, Typescript, Kafka, Postgresql, Redis, Kubernetes, Terraform and AWS.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

We're looking for a security researcher with 5+ years of experience to discover new ways vendors put their customers at risk. You'll own research end to end, from the first hypothesis to a shipped capability, and help decide where we looks next.
What You'll Do:
Discover new ways attackers can use vendors to get in, and prove or kill each idea with real data.
Decide which security tools and data sources we should integrate next, and why.
Shape the logic and knowledge behind our AI risk agents.
Build your own tools when the one you need doesn't exist.
Partner with engineering to turn validated research into product.
Work alongside the best security researchers in the industry.

Required GTM Engineer
About the role:
We're looking for a builder to design and own the technical backbone of our go-to-market engine. By combining AI, automation, data, and modern business systems, you'll build the infrastructure that enables our commercial teams to scale faster.
This isn't a role focused on maintaining existing tools or pulling reports. You'll create new workflows, integrations, AI-powered automations, and internal products that have a direct impact on revenue and the way our business operates.
Working across Operations, Sales, Marketing, Customer Success, Product, and Engineering, you'll solve complex business problems through technology and build the systems that power our next stage of growth.
What you'll do:
Own and evolve our GTM technology stack
Build AI workflows, automations, and internal tools
Design integrations across HubSpot, product data, and third-party platforms
Build the infrastructure that helps our commercial teams move faster and operate more efficiently
Manage and optimize CRM and revenue systems
Build dashboards, reporting, and revenue insights
Partner with Sales, Marketing, Customer Success, Product, and Engineering to eliminate operational bottlenecks and scale our GTM motion.

we are looking for a Cloud FinOps Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity.
Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring "cost-by-design" is a core part of our infrastructure evolution.
Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage.
Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing consistent tagging policies, automated guardrails, and governance frameworks.
Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI.