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InManage, a well-established software house specializing in the development of mobile applications, eCommerce platforms, and tailor-made digital systems, is looking for an experienced B2B Sales to join our team. This is a key role reporting directly to the CEO, combining business development, market analysis, client meetings, and full ownership of the sales process — from identifying new opportunities to understanding client needs and closing deals.

Responsibilities:
Identify and create new business opportunities. Approach potential clients and manage client meetings. Understand business needs and present tailored digital solutions. Manage the sales process end-to-end, including follow-up, negotiations, and deal closing. Build and maintain long-term client relationships.

We Are more than a Professional Services firm, we are a community of people driven by impact. As a leading firm providing Audit, Tax, and Advisory services, and part of one of the worlds largest global networks, we work with the most influential organizations in the market, combining deep expertise, innovation, and advanced technology. We are guided by integrity, responsibility, and forward thinking in everything we do. Our people are at the center, with space to lead, grow, and build meaningful careers in a collaborative environment that connects personal success with real value for business and society. We are looking for a SAP Learning & Content Specialist (Freelance) The role focuses on reviewing and enhancing SAP training materials and professional content, adapting them to the local target audience, and creating a high-quality and effective learning experience. The position combines instructional expertise, strong content capabilities, and ongoing collaboration with stakeholders in Israel and abroad. Responsibilities
* Review training materials and professional content, evaluate them, and provide recommendations for improvement and adaptation.
* Analyze, refine, and improve learning content while adapting it to target audiences and local needs.
* Develop and update learning deliverables, including guides, presentations, and training materials as needed.
* Work closely with global stakeholders and internal teams to gather information, collect feedback, and continuously improve content.
* Manage and maintain content within learning systems and support the creation of learning paths.
* Participate in strategic learning projects and knowledge implementation initiatives across the organization.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization We are looking for a Data Analyst to own the intelligence layer on top of Zipher’s autonomous execution engine. You will turn enterprise-scale telemetry from production data and AI workloads into the metrics, models, and answers that engineering, product, and executives run on.
What You’ll Do
* Own end-to-end analytics for core product areas: cost optimization, SLA, failure rates, and workload efficiency
* Define and instrument the product KPIs and dashboards used daily by engineering, product, and the executive team
* Build and maintain production-grade data pipelines and models on enterprise-scale telemetry — Databricks/Spark, logs, metrics, and traces
* Partner closely with backend and ML engineers to translate complex multi-cloud performance data into actionable platform intelligence
* Run deep-dive analyses and experiments that validate features, quantify impact, and uncover new optimization opportunities
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform High ownership from day one : real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
* Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity
Ready to build the data engine behind autonomous AI workloads? Hit Apply.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization Autonomous execution is a new category, and we are the ones defining it — already running in production inside Fortune 500 environments , where being wrong is not an option. The team is deliberately talent-dense ; every hire changes what we are able to build next. We are looking for a Full Stack Engineer to build our enterprise web application and control plane alongside our senior engineers. You will build the services, APIs, and interfaces that let engineering leaders monitor, understand, and control autonomous data workloads in real time. This is a backend-heavy role . It is best suited for candidates whose primary expertise and passion lie in backend development
What You’ll Do
* Ship features end to end across the control plane: services, APIs, and the interfaces built on top of them
* Build scalable, low-latency APIs over live telemetry from production data and AI workloads
* Build high-performance, real-time visual interfaces and explainability tools for monitoring an autonomous data platform
* Partner closely with backend, AI, and distributed systems engineers to ship complex, mission-critical platform features
* Own quality for what you ship: testing, CI/CD, observability, and the operational bar for a product enterprise customers depend on
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform — a product already running inside Fortune 500 environments Real ownership from day one : you own what you ship end to end, and you grow into owning whole domains of the control plane Engineering problems that are genuinely hard : real-time telemetry at enterprise scale, low-latency APIs, and interfaces that make autonomous decisions readable A talent-dense team : direct access to the founders and to the engineers who designed the platform, and a bar that pulls you up Top-of-market compensation and meaningful equity Ready to build the control plane for an autonomous data platform? Hit Apply.

DealHub.AI is building the future of agentic revenue technology. Trusted by leading global businesses, we’re redefining what revenue teams can achieve with AI and agentic execution across the deal lifecycle. Our mission is simple: help businesses Own Your Revenue with greater speed, intelligence, and governance. As a Customer Success Manager , you will serve as the trusted point of contact for our customers and lead them end-to-end through implementation, onboarding, and ongoing adoption of DealHub’s platform. Your mission is to drive successful implementations and go-lives, strong adoption, high retention, and long-term customer growth—by combining technical execution, strategic guidance, and strong relationship management. You will work hands-on with customers to configure solutions, lead onboarding projects, deliver training, and ensure customers realize ongoing value from the platform. You will act as both a technical trusted advisor and a business partner, helping customers translate complex technical requirements into tangible business outcomes. The ideal candidate enjoys solving technically complex onboarding challenges and excels at transforming those challenges into measurable customer value.
Key Responsibilities
* Manage a portfolio of customers across different stages of the customer journey, from onboarding through renewal and expansion.
* Lead and execute customer implementations.
* Drive customer meetings on a daily basis, including onboarding sessions, training workshops, follow-ups, and QBRs.
* Understand customer business objectives, revenue workflows, and technical environments to proactively drive value and ROI.
* Serve as a trusted advisor, providing product guidance, best practices, and recommendations to optimize adoption and usage.
* Proactively identify risks, issues, and blockers, and lead resolution to ensure customer satisfaction and retention.
* Identify expansion and upsell opportunities within existing accounts and collaborate with Sales to execute on them.

We're seeking an experienced Director of Product & Design to lead and oversee both Product Managers and Product Designers while defining and executing the product strategy across our enterprise SaaS platform. This leadership role combines strategic vision, organizational leadership, and cross-functional collaboration to deliver exceptional products that drive business growth and customer success.

Responsibilities:

* Define and execute the overall product vision, strategy, and multi-year roadmap
* Lead, mentor, and develop a high-performing team of Product Managers and Product Designers
* Build and scale the Product organization, establishing best practices, processes, and a strong product culture
* Own the performance and success of the product portfolio, ensuring alignment with company objectives
* Partner closely with Engineering, Sales, Delivery, Marketing, and Executive Leadership to drive business outcomes
* Drive product discovery, customer research, market analysis, and competitive positioning
* Prioritize strategic initiatives based on customer needs, business impact, and market opportunities
* Define and monitor product KPIs, OKRs, and success metrics to guide decision-making
* Build strong relationships with enterprise customers, strategic partners, and executive stakeholders
* Champion user-centric product development while balancing technical feasibility and business priorities

our company's salesforce division is seeking a salesforce Implementer to join our team. We are looking for an experienced salesforce Implementer who designs and implements solutions within the salesforce system. The role requires expertise and experience working with business interfaces and requirements definition. Key Responsibilities:
* Performing configurations, adaptations, and implementations in the salesforce system according to organizational needs.
* Analyzing business requirements and translating them into technological solutions on the platform.
* Ongoing collaboration with business stakeholders to optimize work processes.
* Supporting and maintaining existing automation processes and creating new ones.
* Training users and implementing new features in the system.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for an experienced Senior Product Manager to join our Product Management team, focusing on AI workloads and AI operations tools. In this role, you'll drive the AI capabilities customers use to operate enterprise storage and to build AI data services, taking the product from definition through GA and measuring its success.

Responsibilities:

* Drive the AIOps and AI-data-readiness strategy and roadmap, inbound and outbound, informed by where the market and the technology are moving
* Lead discovery with enterprise customers and Fortune 500 accounts, and work with the field and sales teams to turn what you learn into product and feature decisions
* Oversee deployment models considering cost, data governance, privacy, and compliance
* Take the product from PRD to GA with R&D, QA, Support, and Operations. Win the commitment of the executive team, Sales, and Marketing
* Measures for success: adoption, customer impact, and business outcome
* Be the subject-matter expert on AIOps: lead the conversation about this product with customers and internal teams.

Alice is a leading platform for Trust & Safety teams worldwide, leveraging cutting?edge AI and world?class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever?changing threat landscape. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities
* Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers.
* Develop, deploy and integrate AI solutions and agentic frameworks, creating both command?line tools and interactive notebooks that support our team’s research and workflow automation needs.
* Build and manage data pipelines and databases (SQL) for large?scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation.
* Integrate research into production by implementing the latest generative AI advancements (including white?box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows.
* Integration & Orchestration: Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings
* Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end?to?end processes for prompt generation, labeling, and response evaluation.

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!

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization We are looking for a Senior Backend Engineer with 7+ years of development experience at leading startups to build the systems behind Zipher’s autonomous execution engine. You will own core infrastructure that turns high-volume telemetry and changing cloud conditions into reliable, real-time decisions across production data and AI workloads.
What You’ll Do
* Architect and scale the core backend services that power real-time workload orchestration, optimization, and self-healing
* Build resilient, high-throughput systems for processing distributed state, event streams, and production telemetry at scale
* Design infrastructure that makes autonomous decisions observable, explainable, and safe for enterprise engineering teams
* Partner closely with data, ML, and platform engineers to bring optimization models and control loops into reliable production systems
* Drive architectural decisions, raise the engineering bar, and own services from design through deployment, observability, and incident response
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform High ownership from day one : real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
* Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity Ready to build the infrastructure that lets data and AI workloads run autonomously? Hit Apply.