The role

Nebius is looking for a Senior Data Scientist to build and deploy time series forecasting and classical machine learning models that support core business planning and operational decisions. You will own problems end-to-end, from data exploration and feature engineering to model deployment and monitoring, working with large-scale, real-world datasets.

The role emphasizes strong statistical thinking, robust modeling, and production reliability over experimentation with trendy frameworks. Your work will directly impact forecasting accuracy, resource planning, and key business metrics.

You’re welcome to work in our offices in Tel Aviv.

Your responsibilities will include: 

• Time series forecasting. Design, build, and maintain forecasting models (e.g., demand, usage, capacity). Evaluate performance using appropriate metrics and improve accuracy over time.
• Classical ML modeling. Develop and deploy models using regression,Binary classifcatiom ,  tree-based methods, and other well-established approaches where they provide the best trade-off between performance, interpretability, and maintainability.
• Feature engineering & data preparation. Build robust pipelines for data cleaning, transformation, and feature generation (including time-based features, seasonality, and external signals).
• Model evaluation & monitoring.Define evaluation frameworks, backtesting strategies, and monitoring to ensure models remain stable and reliable in production.
• Production & MLOps. Deploy models into production environments, collaborate on pipeline orchestration, and ensure reproducibility and version control.
• Exploratory analysis. Analyze large datasets to identify patterns, anomalies, and drivers of change in time-dependent behavior.
• Stakeholder collaboration. Work closely with business and product teams to define forecasting needs, align on success metrics, and translate model outputs into actionable insights.
• Cross-domain contribution. Contribute to adjacent data science areas (e.g., LLM-based systems) as needed, ensuring shared ownership and continuity across team responsibilities.

We expect you to have: 

• Experience as a data scientist working in production environments (5+ years).
• Experience with time series modeling and forecasting techniques.
• Experience building reliable data pipelines and working with large datasets.
• Experience with modern data science tools and ecosystems using Python (e.g., NumPy, Pandas, Scikit-learn, deep learning frameworks).
• Strong SQL skills and experience working with large datasets.
• Strong foundation in statistics and machine learning fundamentals.
• Background in Computer Science, Statistics, Mathematics, Industrial Engineering, Economics, or a related field (Master’s degree or equivalent).
• Demonstrated ability to take models from idea to production and ensure ongoing value.
• Demonstrated ability to apply structured thinking and robust evaluation in forecasting problems.
• Strong communication skills and ability to explain model outputs, uncertainty, and limitations.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience working in cloud environments (preferably Azure).
• Experience with MLOps tools and production model lifecycle management.
• Experience with workflow orchestration tools such as Apache Airflow.
• Familiarity with LLM-based systems (e.g., evaluation, RAG pipelines) in applied settings.

We are seeking a commercially driven and strategically strong Marketing Director to lead growth and market development in Israel.

In this role, you will own the full marketing and growth agenda for Israel—shaping and executing integrated strategies that drive market penetration, customer acquisition, revenue growth, and long-term brand strength. As the senior marketing leader in the country, you will partner closely with the Country GM, Consumer Business, Finance, and cross-functional teams to ensure marketing investments are tightly aligned with commercial priorities and operational realities.

Reporting to the Global Senior Director of Marketing, this role combines strategic leadership, financial discipline, and hands-on market execution in one of our key markets, holding ownership of marketing in Israel.

Key Responsibilities

Country Growth Strategy & Leadership

• Define and lead the comprehensive growth strategy for Israel across marketing and consumer business initiatives
• Translate company-wide growth priorities into locally relevant plans tailored to Israel’s market dynamics
• Act as the strategic marketing counterpart to the Country GM and local leadership team
• Ensure strong alignment between marketing activity, commercial objectives, and operational capacity

Integrated Marketing & Commercial Alignment

• Oversee all marketing efforts in Israel, ensuring inclusion of Wolt+, New Verticals (NV), and other relevant business lines in planning and execution
• Partner closely with the Consumer Business team to align promotional strategy, assortment priorities, and demand generation
• Ensure cohesive campaign planning across brand, performance, CRM, media, and partnerships
• Balance short-term performance drivers with long-term brand and market development

Budget Ownership & Financial Governance

• Own and manage the country growth budget with clear accountability for ROI and financial outcomes
• Allocate resources strategically across channels and initiatives based on impact and incrementality
• Forecast growth outcomes and align investment plans with financial targets
• Adjust allocations dynamically in response to performance and market shifts

Campaign Execution & Performance Optimization

• Lead execution of country-level growth campaigns across channels
• Leverage data-driven insights to optimize acquisition, engagement, retention, and resurrection efforts
• Monitor performance against defined KPIs and implement corrective actions where necessary
• Build structured learning loops to improve marketing effectiveness over time

Market & Competitive Intelligence

• Continuously analyze the Israeli market landscape to identify growth opportunities and competitive risks
• Translate market insight into actionable strategy
• Anticipate shifts in consumer behavior and local category trends to maintain competitive advantage

Team Leadership & Capability Development

• Lead and mentor the country marketing team, fostering a culture of accountability, innovation, and experimentation
• Strengthen collaboration between marketing, operations, finance, and commercial teams
• Build strong local capabilities while ensuring alignment with global standards and governance

Qualifications

• 8–12+ years of experience in marketing, growth, or commercial leadership roles, ideally within high-growth or competitive markets
• Proven track record of delivering measurable customer and revenue growth at country level
• Strong financial acumen with experience managing and optimizing marketing budgets
• Experience working closely with country-level leadership and cross-functional teams
• Strong analytical capabilities combined with strategic thinking
• Ability to balance hands-on execution with long-term strategic planning
• Experience operating in fast-paced, performance-oriented environments

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in today's digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we haven't stopped growing since!

We are looking for a Product Manager to join our Gen AI Intelligence team, owning the end-to-end data platform that powers our next-generation products.

The Opportunity: Why This Role, Why Now

The marketing world is undergoing its biggest shift in a decade. Discovery is no longer just "search"—it's increasingly mediated by AI. Users are asking questions in ChatGPT, Perplexity, and Google AI Overviews, and the traditional "search → click → website" funnel is fragmenting. This shift has created a new discipline: Generative Engine Optimization (GEO) and AI Engine Optimization (AEO).

Similarweb is uniquely positioned to lead this space. We have proprietary data that reveals not just what AI shows users, but what users actually do next—which channels they visit, where demand flows, and how brands win (or leak) visibility. Our mission is to help marketers understand their visibility in AI platforms, connect that visibility to downstream business outcomes, and take action to improve.

The Impact of This Role

As a Product Manager for our GenAI team*, you will own the data backbone of Gen AI Intelligence. You'll need to be sharp on how to combine, utilize, and analyze diverse data sources** to answer the questions our customers need answered.

You'll work at the intersection of our Data Science team, Data Engineering team, and Platform team—turning raw data assets into user-facing products. But building the right products requires understanding the domain: you'll dig into SEO/GEO workflows, spend time with customers and design partners, and learn how marketing teams actually operate. The goal is to let user context drive your data decisions.

Your core mandate:

• Own a product area end-to-end within Gen AI Intelligence—from the underlying data and pipelines, through the user-facing experiences, to how customers extract value via APIs and integrations.
• Define what data we need, how we structure it, and how we expose it to users and downstream systems
• Deeply understand user workflows and jobs-to-be-done to identify the highest-leverage data solutions
• Partner with Data Science to translate models and extractions into usable, reliable data pipelines
• Ensure data quality, coverage, and governance across our Gen AI data estate
• Drive product development end-to-end: from discovery through definition, prototyping, design, development, and deployment—with continuous iteration
• Collaborate across a multi-disciplinary team: data scientists, data engineers, full-stack developers, UX designers, product marketers, and business stakeholders

What you'll do day-to-day

• Obsess over user context: Understand how SEO practitioners, content marketers, and marketing leaders actually work—what questions they're trying to answer, what data would unlock value, and where current solutions fall short
• Define data products end-to-end: From discovery through definition, schema design, pipeline development, and delivery—ensuring consistent quality and velocity
• Connect data to user outcomes: Work closely with product teams that consume your data (reporting UX, recommendations, APIs) to ensure the data products actually solve user problems
• Partner deeply with Data Science and Engineering: Translate DS models into production-ready data products; define requirements for data engineering pipelines; prioritize platform investments; 
• Define the core metrics, datasets, reports, and insights that will be made available to our users through our SaaS platform, APIs and MCPs.
• Own data quality and coverage: Define metrics for data completeness, accuracy, and freshness; build feedback loops to continuously improve
• Make tradeoffs with evidence: Use quantitative and qualitative analysis and user research to prioritize ruthlessly—not everything can be built, so you need to know what matters most

This is the perfect job for someone who has:

Must-haves:

• 3+ years as a Product Manager on data-centric products (data platforms, analytics products, ML-powered features, or similar)—you've shipped data products that users depend on
• Experience working in a data company or on data products where the core value proposition was derived from data (not just "we use data")
• Strong analytical and data skills: You're comfortable querying data, analyzing patterns, and making data-informed decisions. You can hold your own in conversations about data modeling, schemas, and pipelines
• Deep user empathy and research skills: You don't just build what stakeholders ask for—you dig into user workflows and jobs-to-be-done to find the real problem worth solving
• Experience working with Data Science and Data Engineering teams: You know how to translate between DS/ML outputs and production systems, and you understand the tradeoffs involved
• Strong communication skills: You can write a clear PRD, present to leadership, and align cross-functional teams around a shared vision

Strong pluses:

• SQL proficiency: You can write queries to explore data, validate hypotheses, and QA outputs
• Python or other scripting ability: You can prototype analyses, automate checks, or dig into data yourself when needed
• Experience in digital marketing, SEO, or adjacent domains: Understanding of how marketers think about search, content, and visibility
• Experience with B2B SaaS and enterprise customers: You understand long sales cycles, packaging, and the needs of mid-market/enterprise buyers

Mindset:

• Curiosity over credentials: You want to understand how things work, not just ship features
• Bias for action: You'd rather test a hypothesis with an imperfect solution than wait for perfect information
• Comfort with ambiguity: GEO/AEO is a new space—you'll help define what "good" looks like, not just execute a playbook

Why you'll love being a Similarwebber

You'll work on a genuinely new problem space: GEO and AI visibility is an emerging category. You won't be iterating on a mature product—you'll be defining what the product should even be.

You'll have access to unique data assets: Similarweb's real-user behavioral data is genuinely differentiated. You'll get to figure out how to turn that into user value—a rare opportunity.

You'll actually love the product you work with: When we asked our employees why they chose to come work at Similarweb, 99% of them said "the product." Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here.

Diversity isn't just a buzzword: We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience.

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Hi. I’m Ron, Eon’s co-founder and CTO.

I’ll be direct: Eon is at the most crucial moment in its journey, and we are looking for highly skilled engineers to help bring this company to the next stage. We’ve done what no one else has managed to do - make backups actually useful, building a cloud-native backup and recovery platform for enterprises running across multi-cloud environments. Eon turns backup data into a strategic asset, with visibility, control, and usability across the board. We’re trusted by global enterprises, and we’re building a once-in-a-generation company.
In other words: NOW  is the time to join us.

About the Role 

We’re looking for a Senior Backend Developer who is ready to build at the highest level. You'll design and scale backend systems that power the core of our platform. You'll work directly with me to deliver features that enterprises can't live without. You'll work with top talent like yourself - with opportunities for peer learning and the chance to mentor others. We're looking for people who approach challenges as opportunities to develop solutions. Here, you'll have the opportunity to drive innovation from within and shape the way in which we develop.

This is not a role where you're buried in bureaucracy. You'll see your work ship quickly, shape the company itself, and directly impact how Fortune 500 companies handle their most critical cloud infrastructure.

What You’ll Do

• Build backend services that can scale across multi-cloud environments.
• Work directly with other engineers and product leads to deliver end-to-end solutions that matter.
• Push performance to the limit - speed, reliability, and security at enterprise scale.
• Write code you’re proud of: clean, testable, maintainable.
• Make key architecture and design decisions.
• Bring your perspective straight to me and - I want your voice.
• Operate with autonomy and own your own work. (I mean it.)

Who You Are

Must-Haves

• You are the best in your team. 
• You want to work with the very best.
• You thrive when you’re trusted with real ownership and responsibility.
• You move quickly, collaborate well, and know how to make an impact.
• You’re hyper-motivated to build something epic.

Nice-to-Haves

• Familiarity with AWS, Azure, GCP, or all of the above.
• Comfort working in high-scale, data-heavy environments where performance matters.

Why Join Us?

Eon is the fastest growing startup in cloud infrastructure and cyber security. We are extremely well-funded, trusted by the biggest players in the industry. But we’re also lean, agile, and flat. You’ll work directly with me and be part of the founding team, shape product direction, and see your work change the trajectory of enterprises around the world. We demand a lot because what we’re building is big. 

We take care of our people, and we make sure your journey here will be enjoyable and worth the ride. 

If you’re ready to be part of an incredible team and do the best work of your career, now’s  the time to apply, even if your experience doesn’t tick every box.

DevOps Engineer

Hi. I’m Ron, Eon’s co-founder and CTO.

I’ll be direct: Eon is at the most crucial moment in its journey, and we’re looking for exceptional engineers to help take the company to the next level.

We’ve done what no one else has managed to do — make backups actually useful. We built a cloud-native backup and recovery platform for enterprises running across multi-cloud environments. Eon turns backup data into a strategic asset, giving enterprises visibility, control, and real usability at scale. We’re trusted by global enterprises, and we’re building a once-in-a-generation company.

In other words: NOW is the time to join us.

About the Role

We’re looking for a DevOps Engineer who is ready to operate at the highest level.

This is a core role at Eon. You’ll own the infrastructure that powers our platform across AWS, Azure, and GCP, enabling massive scale, performance, reliability, and security. You’ll work directly with me and the engineering leadership to design and evolve our cloud architecture, CI/CD pipelines, and Kubernetes environments.

This is not a role for someone who wants tickets and hand-holding. You’ll have real ownership, real impact, and the autonomy to shape how we build and operate our platform.

What You’ll Do

• Design, build, and operate multi-cloud infrastructure at enterprise scale.

• Build and evolve CI/CD pipelines that enable fast, safe, and reliable deployments.

   

• Own infrastructure as code using Terraform (and CloudFormation/Bicep where relevant).

• Operate and troubleshoot managed Kubernetes environments (EKS, AKS, GKE).

• Push infrastructure performance, reliability, and availability to the limit.

• Implement cloud security best practices (IAM, secrets, encryption, network security).

• Partner closely with backend, security, and data teams to enable high-velocity development.

• Make key architectural decisions and influence the future of Eon’s platform.

• Bring your opinions, ideas, and instincts to the table — I want to hear them.

Who You Are

Must-Haves

• You are one of the strongest engineers on your team.

• You thrive when given ownership, responsibility, and trust.

• You move fast, think clearly, and execute with precision.

• You’re motivated by hard problems and real impact.

• You want to work with people who raise your bar every day.

Technical Requirements

• 4+ years of experience in DevOps / Cloud Engineering / SRE.

• Solid experience with Kubernetes and managed services (EKS / AKS / GKE).

• Strong hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).

• Proven experience with Terraform in production environments.

• Experience building and maintaining CI/CD pipelines at scale.

Nice-to-Haves

• Multi-cloud experience (AWS + Azure + GCP).

• Experience in high-scale, data-heavy systems.

• Strong security mindset (DevSecOps, least privilege, defense in depth).

• Experience supporting fast-growing SaaS platforms.

Why Join Eon?

Eon is one of the fastest-growing startups in cloud infrastructure and cyber security. We’re extremely well-funded, trusted by global enterprises, and tackling problems that actually matter.

At the same time, we’re lean, flat, and execution-focused. You’ll work directly with me, be part of the core team shaping the company, and see your work change how enterprises protect and operate their cloud infrastructure.

We demand a lot — because what we’re building is big.
And we take care of our people — because great companies are built by great teams.

If you’re ready to do the best work of your career and build something truly meaningful, now is the time to apply — even if you don’t tick every single box.

Why this role matters
AI makes code generation easier, but proving that code works in production is still hard. This role focuses on closing that gap by building runtime technology that enables safe, real-time validation inside live applications, so engineers and AI agents can verify fixes, changes, and assumptions where they actually matter.

Responsibilities

• Build low-overhead runtime instrumentation and data capture in customer processes across Java, C++ and related environments
• Ensure compatibility across runtime versions, frameworks, and deployment environments such as containers, Kubernetes, Windows, and Linux
• Build backend services to securely define, distribute, and manage agent actions at scale
• Own agent-backend APIs and protocols, including versioning, compatibility, and release strategy across a large installed fleet
• Drive profiling and benchmarking to minimize runtime overhead and enforce 
• performance budgets

Requirements

Must have

• Strong C++ skills with production experience, especially in performance and memory safety
• Production experience with Java and/or .NET, particularly in core libraries, frameworks, or runtime-adjacent components
• Experience building high-performance systems under latency, CPU, and memory constraints
• Strong backend engineering experience designing and operating production services and APIs

Nice to have

• Hands-on experience with profilers and runtime instrumentation technologies, such as:
• Java: JVMTI, bytecode instrumentation, ASM, Byte Buddy, JIT/GC awareness, safe attachment patterns
• .NET: CLR Profiling APIs, ICorProfiler, IL rewriting, managed/unmanaged interop

We are looking for a highly skilled Senior Machine Learning Engineer to lead our transition from on-demand, third-party LLM APIs to a fully self-hosted, scalable model ecosystem.

Our core product is an advanced, agentic support chatbot capable of complex reasoning, API tool calling, database lookups, and orchestrating specialized Small Language Models (SLMs) for targeted NLP tasks. As we scale, our current deployment infrastructure (AWS SageMaker) is becoming unsustainable. You will be responsible for architecting, deploying, and optimizing an infrastructure capable of supporting 50 to 100 distinct models ranging from 100M to 70B parameters.

What You’ll Do:

• Inference Optimization: Deploy and manage large-scale models using high-performance inference engines (like vLLM) to ensure low latency and high throughput for our agentic chatbot.
• Agentic Workflows: Develop and refine the chatbot's agentic capabilities, ensuring reliable tool-use, routing, and interactions between massive LLMs and specialized SLMs.
• Model Fine-Tuning: Design and execute fine-tuning strategies to improve model accuracy on specific domain tasks and tool-calling execution.
• Rigorous Evaluation: Build comprehensive offline and online evaluation frameworks to constantly measure model performance and business impact through structured A/B testing.

What We’re Looking For:

Core Engineering & AI Frameworks

• Strong proficiency in Python and Bash scripting.
• Deep experience with PyTorch and the Hugging Face ecosystem.
• Experience using AI coding assistants natively in the terminal, specifically Claude Code, to accelerate development workflows.

LLMs, Inference & Agents

• Proven experience deploying models using vLLM, TGI, or similar high-performance inference servers.
• Strong fundamental understanding of LLM architectures, attention mechanisms, and generation parameters.
• Hands-on experience building Agentic systems (ReAct, function/tool calling, RAG).
• Expertise in fine-tuning strategies (e.g., SFT, RLHF, DPO) and parameter-efficient techniques (PEFT/LoRA).

Statistics & Model Evaluation

• Offline Metrics: Deep understanding of classification/summarization metrics (Precision, Recall, F1, AUC) and retrieval metrics (MRR, NDCG, Precision/Recall @ k).
• Online Metrics & A/B Testing: Strong statistical foundation to design and analyze A/B tests safely, including the use of t-tests, Mann-Whitney U tests, and bootstrapping techniques.

Bonus Points

• Containerization & Orchestration: Experience with Ray for orchestrating large-scale model deployments across multi-GPU clusters.
• Model Quantization: Experience with memory optimization techniques like AWQ, GPTQ, GGUF, or FlashAttention to fit 70B models efficiently onto hardware.
• API Development: Proficiency in building robust, asynchronous microservices using FastAPI to serve model requests.

• Knowledge of Data Engineering principles: dataset collection, cleaning, processing, and scalable storage.

Experience with core MLOps practices, including dataset versioning (e.g., DVC), experiment tracking (e.g., Weights & Biases, MLflow), and model registries.

Location: Israel 

We Are: 

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. 

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

Role Overview:

We’re looking for a driven and motivated full-cycle sales professional who’s eager to own the entire sales process — from prospecting to closing. You’ll be responsible for generating new business through strategic outreach, managing pipeline opportunities, and closing deals. This is a high-impact role that goes beyond booking meetings; we're seeking someone who can build strong relationships, deeply understand client needs, and drive revenue growth.

The ideal candidate is action-oriented, resourceful, and excited by the challenge of building and converting a sales pipeline in a fast-paced, high-growth environment. You should be confident in leading sales conversations with key decision-makers, skilled in using modern sales tools, and ready to grow with a company like RTB House.

Why RTB House? 

If you are looking for a place where you can grow and explore the latest technology updates in Digital and Programmatic advertising then RTB House might be the right fit for you.

You Will:

• Own the full sales cycle — from outbound lead generation to closing new business.
• Execute high-volume outreach (cold calls, emails, LinkedIn, etc.) to engage decision-makers.
• Book and lead discovery and demo meetings with prospects.
• Identify, map, and navigate target accounts and key stakeholders.
• Conduct thorough research and tailor outreach to each prospect’s structure, goals, and challenges.
• Build and manage a healthy sales pipeline through diligent follow-up and CRM tracking.
  Collaborate with internal teams (e.g., marketing, customer success) to align on client needs and handoff strategies.
• Consistently meet or exceed revenue and activity targets.
• Provide feedback and insights to improve sales messaging, outreach strategies, and conversion rates.

Desired Experience:

• 5+ years of experience in a sales role, ideally full-cycle (SDR/BDR experience plus closing responsibilities).
• Demonstrated success with outbound sales and cold calling.
• Experience speaking with mid- to senior-level decision-makers.
• Strong ability to independently research, map accounts, and build tailored outreach.
• Understanding of a structured sales process — from first touch to signed contract.
• Proficient with outbound sales tools and CRMs (specific platforms discussed during interviews).
• Proactive, self-motivated, coachable, and resilient in a dynamic sales environment.
• Native in Hebrew, and strong communication and presentation skills in English.

We Offer: 

• Opportunity to strategically co-create one of the most exciting success stories in the industry at one of the fastest growing and multiple awards winning global AdTech
• Joining the global innovations leader rethinking AdTech with the world’s only market leading state-of-the art 100% deep learning algorithms powered retargeting technology
• A rewarding career in a friendly and inspiring atmosphere with no corporate habits and a growing dynamic multi-cultural team of leading MarTech professionals learning from each other with the joint goal to win on the red ocean of a perspective video gaming programmatic advertising market
• Attractive compensation package based on experience and performance
• Training program, budget, and the tools necessary to develop professional skills and personally
• Fully responsible, high potential position within high-tech marketing and business development area

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.