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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.

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!

We’re looking for a Client Manager with 1-2 years of relevant experience who wants to take the next step in a professional digital agency. The role is ideal for someone who's coming from advertising, digital, social media, influencer marketing, or an in-house marketing team, who enjoys managing tasks, writing briefs, coordinating between teams, and keeping projects on track. You’ll join a multidisciplinary Client Squad and work closely with Media, Creative, SEO, and Data teams.

Responsibilities:

* Manage client tasks, timelines, deliverables, approvals, and follow-up.
* Write briefs and translate client requests into structured tasks.
* Coordinate work between clients and internal professional teams.
* Support creative and media activity, reports, presentations, and client updates.
* Build an understanding of each client’s business and digital activity.
* Gradually take ownership of defined projects, with guidance from the Senior Client Manager and Digital Director.

As a Game Designer, you will play a pivotal role in crafting the future of our iLottery and iGaming eInstant games portfolio. Were looking for a creative individual who can combine a passion for gaming with practical design skills to deliver solutions that make a real impact on players.


What you'll do


Lead the full lifecycle of multiple games-from conceptualization through launch and live operations
Define product vision, positioning, and success metrics for each title
Drive execution while maintaining high quality and commercial excellence standards
Define and evolve core game mechanics
Partner with mathematicians, designers, and studios to develop compelling, competitive iLottery game experiences
Apply deep understanding of player psychology, monetization levers, and retention dynamics
Continuously set the standard on innovation and differentiation in the portfolio
Take full accountability for game performance metrics (engagement, retention, monetization)
Analyze data and player behavior to drive continuous improvements and scaling strategies
Function as a senior ally to game studios, guiding creative and production directions
Ensure games meet regulatory and responsible gaming requirements across jurisdictions

Were looking for a Digital Brand Manager whos genuinely curious about customer behavior and has a habit of digging into the why behind the numbers. Someone who sees a conversion drop and wants to understand what the user was thinking - then takes that insight and turns it into a sharper headline, a tighter funnel, or a bolder offer.

Youll own the funnel strategy and optimization across our product verticals, leading the full cycle from spotting the opportunity to forming the hypothesis, running the test, and shaping the next move. Youll work closely with Acquisition so the experience users get matches the intent that brought them in, and partner with Product, Data, R&D, Design, Marketing, and Customer Support to bring ideas to life.

This role is for someone with a creative mindset and a bias for experimentation - comfortable challenging assumptions, moving fast, and learning in public.

Our office is located in Kiryat Ono. This is a hybrid position, including two work-from-home days per week.

We are looking for a Senior Data Engineer with strong Python expertise and extensive experience building large-scale, distributed data systems.

You will play a key role in developing our next-generation data platform, building integrations with external data sources, and designing the services and pipelines that collect, process, and serve large volumes of data across our product.

You will own systems throughout their full lifecycle - from system design and hands-on development to deployment, scalability, and production monitoring - while contributing to technical decisions and working closely with the team on building reliable, high-performance data solutions.

Our Office is located in Kiryat Ono.This is a hybrid position, including two work-from-home days per week, with flexibility .

We are looking for an experienced Data Engineer to own and evolve data infrastructure and analytics platform.

You will design and build scalable data pipelines and data models, working with large and diverse datasets generated across Trigos global retail deployments. You will own the data lifecycle from ingestion and transformation through orchestration, reliability, and analytics-ready datasets.

As a key technical owner of data platform, you will also work closely with analysts, Product, R&D, Operations, and Customer Success to build trusted data products, evolve our BI semantic layer, and turn complex data into scalable solutions

A day in the life
Design, build, and maintain scalable ETL/ELT pipelines processing large and diverse datasets.
Own and evolve data architecture, from ingestion and transformation through analytics-ready data models and consumption.
Build reliable data workflows and orchestration processes, with a focus on scalability, performance, and maintainability.
Design and maintain curated data models that power analytics, operational workflows, and data-driven products.
Ensure data quality, observability, monitoring, and reliability across datasets and pipelines.
Develop and evolve the BI semantic layer, enabling trusted metrics and self-service analytics across the company.
Work closely with R&D and Product on data integrations and new data-driven capabilities, including use cases that bridge offline analytics and production systems.
Partner with analysts and business stakeholders to translate complex requirements into scalable data solutions.

We are looking for a talented and creative Product Manager to join us. This is a fantastic opportunity to join our excellent team and grow with the company. If youre dedicated, friendly, appreciate challenges, and looking for something beyond the ordinary - Then your place is with us!

A day in the life
Lead products from research and definition to development with the R&D teams (algorithm and engineers teams).
Work closely with different departments in the company including Business, Marketing, and Operations to make sure our customers are best served and drive the product forward.
Develop, plan and deliver a solution roadmap in collaboration with our strategic clients.
Work in a dynamic and fast-paced start-up environment.

As a Digital Backend Design Engineer, you will be responsible for the physical implementation of digital designs from RTL to GDSII, leveraging cutting-edge EDA tools and methodologies. You will collaborate closely with RTL design, DFT, and packaging teams to achieve optimal performance, power, and area (PPA), while meeting stringent timing and yield targets.

Required Skills and Experience
Masters or PhD degree in Electrical/Electronic Engineering or a related field.

4+ years experience in digital IC backend implementation.

Proficiency with backend EDA tools, particularly Cadence Innovus and Genus.

Strong understanding of place & route (P&R), static timing analysis (STA), DRC/LVS verification, IR drop, and electromigration (EM) analysis.

Experience with advanced technology nodes (22nm or below preferred).

Skilled in Tcl scripting for automation of backend flows.

Experience in hierarchical or full-chip implementation is preferred.

Language: English at a proficient level. French is a plus.

Design high-performance analog and mixed-signal ICs optimized for precision, power, and area, driving prototype and product iterations from architecture to silicon validation.

Responsibilities
Design and simulate analog and RF integrated circuits, including critical blocks such as amplifiers, mixers, PLLs, ADCs, DACs, and bias/reference circuits, with a focus on signal integrity, linearity, and precision.

Optimize circuits for power, area, and performance trade-offs, ensuring designs meet system-level requirements across process, voltage, and temperature (PVT) variations.

Collaborate closely with optics, simulation and PCB teams to define architecture and block-level specifications for successive prototypes and product iterations, ensuring tight alignment with overall performance and integration goals.

Work with layout engineers to guide floor-planning and physical design, minimizing parasitic effects and preserving analog precision in layout-sensitive blocks.

Support post-silicon validation and bring-up, defining test plans, analyzing lab measurements, and correlating results with simulation to refine future design iterations.

Language: English at a proficient level. French is a plus.

As a Senior Backend Engineer , you will play a pivotal role in shaping the architecture and evolution of our backend services.The technical depth of the product means you'll have real influence over how features get defined, not just how they're built.

What you'll be doing

Design, build, test, and ship cloud-native microservices, with scalability, reliability, and observability built in.
Own features from definition to release, working with product managers and customer-facing teams to land on requirements that make sense technically and commercially.
Take on problem areas that aren't yet defined - research them, form a view on how they should work at Blink, and present a direction before building it.
Work across a range of tech stacks, particularly cloud services, Linux, and containerized environments like Kubernetes and Docker.
Design and build with security at the forefront, applying key security concepts to protect our customers and their data.