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.

• 5+ years of experience in technical recruitment, with a strong focus on senior-level hiring.
• Fluent in speaking Hebrew
• Proven track record hiring in AI/ML, LLMs, Inference, distributed systems, HPC, infrastructure, GPU engineering, or related areas.
• Strong sourcing expertise and deep understanding of modern engineering roles, tech stacks, and motivations of senior candidates.
• Ability to operate autonomously in a fast-moving environment, balancing multiple complex searches.
• Excellent communication, stakeholder management, and analytical skills.
• Curiosity, creativity, and the ability to translate complex technical requirements into effective sourcing strategies.

The role 

We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.

This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.

The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.

You’re welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include: 

• Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.
• Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.
• Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.
• Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.
• Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.
• Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.
• Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.

We expect you to have: 

• 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure.
• Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration.
• Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus.
• Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs.
• Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread.
• Proven ability to influence cross-functional stakeholders and drive alignment without formal authority.
• Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders.

It will be an added bonus if you have: 

• Experience in search, information retrieval, NLP, or adjacent domains.
• Background in API-first or developer-platform businesses with both PLG and enterprise motions.
• Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments.
• People management or mentoring experience (building the skills of other PMs).

The role

Nebius is looking for a Senior Data Scientist (Applied AI / LLM) to design, build, and deploy production-grade AI systems based on large language models. You will focus on turning LLM capabilities into reliable, measurable business solutions, while also contributing to predictive modeling across different business domains.

Your work will include building evaluation frameworks, improving model accuracy, and developing agent-based systems that automate analytical and data workflows (e.g., data quality monitoring). The role emphasizes production readiness, robustness, and real business impact—not experimentation.

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

Your responsibilities will include: 

• LLM system development. Design and deploy LLM-based solutions (e.g., RAG pipelines, agent workflows) for real business use cases.
• Evaluation & reliability. Build evaluation frameworks to measure accuracy, consistency, and failure modes of LLM systems. Continuously improve performance based on real-world usage.
• Agent-based automation. Develop agentic solutions to automate workflows such as data quality checks, anomaly detection, and reporting.
• Applied predictive modeling. Apply classical ML and statistical methods to business domains such as HR and Finance (e.g., forecasting, classification, risk modeling).
• Production & MLOps. Deploy and maintain models in production, ensuring monitoring, versioning, and scalability.
• Stakeholder collaboration. Translate business needs into AI/ML solutions and communicate trade-offs, risks, and performance clearly.
• Cross-domain contribution. Contribute to adjacent areas (e.g., forecasting models) to ensure team redundancy and shared ownership of critical workflows.

We expect you to have: 

• Experience as a data scientist or applied ML practitioner (5+ years).
• Experience building and deploying LLM-based systems in production.
• Experience working in production environments with model monitoring and iteration.
• Experience with modern data science and ML ecosystems using Python.
• Experience working with large datasets and strong SQL skills.
• Understanding of LLM evaluation, prompt design, and system behavior.
• Strong foundation in statistics and machine learning fundamentals.
• Demonstrated ability to deliver production-grade AI systems end-to-end.
• Demonstrated ability to translate business needs into AI/ML solutions and communicate clearly.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

•  Experience with RAG architectures and retrieval systems.
• Experience designing or working with agent-based workflows.
• Experience with MLOps tools and production ML systems.
• Experience working in cloud environments (preferably Azure).

The role

Nebius is looking for a highly technical, hands-on SIEM Engineer Lead to design, implement, and optimize advanced Security Information and Event Management (SIEM) capabilities. This role is responsible for developing detection strategies, improving security visibility, and driving automation across security operations processes. The ideal candidate will combine deep SIEM expertise with strong analytical and engineering skills to enhance threat detection, incident response efficiency, and security monitoring maturity. This is not a people management position, you will provide technical guidance, mentorship, and direction to SOC analysts, security engineers, and cross-functional teams

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

Your responsibilities will include: 

• Architect, deploy, and maintain enterprise SIEM platforms and related security monitoring infrastructure.
• Develop and optimize detection rules, correlation logic, and alert mechanisms to identify security threats and anomalous activity.
• Design and implement log ingestion pipelines, normalization, and enrichment processes across diverse data sources.
• Continuously improve detection coverage by analyzing threat intelligence, attacker techniques, and emerging vulnerabilities.
• Create and maintain dashboards, reports, and metrics to support security visibility and operational decision-making.
• Drive automation of security monitoring and response workflows using scripting, APIs, and orchestration tools.
• Perform tuning and performance optimization of SIEM platforms to ensure scalability and reliability.
• Conduct threat hunting activities and support complex security investigations using SIEM data.
• Collaborate with engineering, infrastructure, and security stakeholders to integrate new log sources and telemetry.
• Develop documentation, standards, and best practices for SIEM configuration, logging, and detection engineering.
• Create APIs and interfaces that enable AI agents to query SIEM, pull evidence, and execute actions

We expect you to have: 

• 5+ years of experience in cybersecurity with strong focus on SIEM engineering or security monitoring.
• Hands-on experience with SIEM platforms such as Splunk, Microsoft Sentinel, QRadar, CrowdStrike, Elastic, or similar.
• Strong knowledge of log analysis,event correlation, and detection engineering.
• Experience with data pipelines, log parsing, and schema design.
• Experience with SOAR platforms and security automation.
• Experience with scripting or programming (e.g., Python, PowerShell, Bash) for automation and integrations.
• Solid understanding of network protocols, operating systems, cloud environments, and common attack techniques.
• Familiarity with frameworks such as MITRE ATT&CK, NIST, or CIS for detection mapping and security controls.
• Experience integrating threat intelligence and security tools with SIEM platforms.
• Knowledge of cloud logging and monitoring (AWS, Azure, GCP).
• Strong knowledge of Kubernetes architecture and security concepts
• Experience with Terraform, CI/CD pipelines and Detection as code workflow

It will be an added bonus if you have: 

• Experience building and deploying LLM-based AI agents
• Experience in transitioning from manual SOC to AI-augmented operations.
• Relevant security certifications
• Certification in cloud computing, including administration, development, engineering, or architecture.
• Knowledge of AI safety and reliability - guardrails, validation, human oversight mechanisms

About Us

At Unframe, we build AI-powered products that address real-world challenges.Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery.

What You'll Do

As a Team Lead at Unframe, you’ll play a key role in building and scaling our AI-powered products while leading and growing a team of engineers. You’ll be responsible not only for technical execution, but also for hiring, mentoring, and shaping a high-performing team. We work on-site from our Tel Aviv office, collaborating closely across engineering, product, and AI to move fast and build with purpose.
This is a hands-on leadership role - you’ll guide architecture and execution while actively building your team and ensuring technical excellence.

Responsibilities

• Lead, mentor, and grow a team of engineers, fostering a collaborative and high-performance culture
• Take an active role in hiring and scaling the team, including sourcing, interviewing, and onboarding
• Drive the design and implementation of core product features across backend and frontend
• Own end-to-end delivery of features, from ideation to production
• Collaborate cross-functionally with Product, AI, and Solutions teams
• Define and enforce best practices for code quality, testing, CI/CD, and system architecture

Requirements

• 6+ years of experience in software engineering, including 2+ years in a technical leadership or team lead role
• Proven experience leading and growing engineering teams
• Experience working on complex, production-grade systems
• Strong proficiency with JavaScript, Node.js, Vue\React and PostgreSQL.
• Proven ability to design scalable systems and deliver high-quality products
• Strong communication and collaboration skills
  
  

Nice to Have

• Experience with AI/ML or LLM-based applications
• Experience working with B2B or enterprise customers
• Experience in fast-paced startup environments
• Experience building and scaling teams in early-stage companies
• Background in building end-to-end or customer-facing products

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. 
 
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! 

We’re looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions that transform how our teams operate. 

This is not a research role. You’ll design and ship real AI systems that improve workflows across Sales, Marketing, HR, and Operations - building custom solutions where off-the-shelf tools fall short. 

If you enjoy turning messy business problems into production-ready AI systems using LLMs,SLMs, agents, and smart data pipelines - this role is for you. 

Responsibilities: 

• Partner directly with business teams to identify automation and optimization opportunities 
• Design and implement agent-based AI workflows to automate internal processes end-to-end 

• Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain 

• Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows 

• Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations 

• Take solutions from idea → prototype → production 

• Governance, Reliability & Security 

• Ensure AI workflows comply with security, privacy, and compliance requirements 

• Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed 

• Monitor AI performance, errors, hallucinations, and drift 

• Collaboration & Enablement: 

• Partner with business owners to identify automation opportunities 

• Translate business requirements into AI-driven solutions 

• Document AI flows, decision logic, and operational runbooks 

• Educate internal teams on AI capabilities and limitations 

Requirements: 

• 3 years of hands-on software development experience, including writing, maintaining, and delivering production-quality code 
• 2+ years of GenAI development experience, with strong AI/ML focus - MUST 
• Strong Python skills and production mindset - MUST 
• Hands-on and deep understanding with LLMs, SLMs, prompt engineering, context engineering and agent-based systems 
• Experience with LangGraph, crewAI, Strands or similar orchestration frameworks 
• Experience in enterprise grade agentic solutions and bringing Agents into production 
• Experience in AWS Agent Core - Advantage 
• Solid understanding of ML workflows and MLOps principles 
• Strong analytical skills and ability to work directly with non-technical stakeholders 
• Builder mindset: proactive, independent, and impact-driven 
• Experience with Agentic AI driven applications like n8n, UiPath, Make –Advantage  

Job Summary:

We are looking for an experienced Applied Data Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform — designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.

Responsibilities:

• Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end
• Architect multi-agent workflows with planning, tool use, memory, and feedback loops — enabling agents to reason, adapt, and improve over time
• Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines
• Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases
• Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts
• Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling
• Collaborate with software engineers to productionize agentic solutions — including testing, monitoring, versioning, and iterative improvement
• Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing

Requirements:

• 4+ years of experience in applied data science or ML in a product environment, with demonstrated experience building agentic systems or autonomous agents
• MSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field (or equivalent practical experience)
• Proven track record designing and implementing multi-step agentic pipelines, including LLM-based agents, tool use, planning loops, and memory mechanisms
• Hands-on experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or equivalent
• Strong Python coding skills; familiar with Spark for large-scale, distributed data processing
• Experience with LLM APIs (e.g., OpenAI, Anthropic, Bedrock, open-source models) and prompt engineering for agentic use cases
• Experience performing rigorous model evaluation (baselines, cross-validation, error analysis) and defining evaluation strategies for agent behavior
• Strong communication and collaboration skills; able to work across engineering, product, and supply chain domain experts and iterate fast

Nice to Have (Advantages)

• Experience with multi-agent architectures, agent-to-agent communication protocols, and agent orchestration at scale
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices (CI/CD for ML, model monitoring, drift detection)
• Familiarity with containerization and production engineering practices (Docker, Kubernetes)

Beamup is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

You can read more about us at:

https://www.beamup.ai/

And we were also chosen to be one of the 50 most promising Israeli startups of 2023:
https://www.calcalistech.com/ctechnews/article/hjtwkugx2

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

At Datadog, we leverage AI across our observability platform to improve monitoring, speed up incident resolution, and ensure data reliability for cloud applications.

Datadog’s Deployment Gates team builds customer-facing systems that decide whether software should ship to production. Deployment Gates sit directly in customers’ CI/CD pipelines and use observability data to answer one of the hardest questions in software delivery:
Given everything we know right now, is this deployment safe to proceed?

In this role, you will:

• Work on an analysis service that prevents incidents by detecting faulty software changes in production before they reach clients

• Lead the design of progressive deployment automation, starting with zero-setup, conservative AI rules and evolving toward adaptive gates that learn from incidents and organizational patterns
• Design the foundation for autonomous remediation, connecting what changed in code to what broke in production, from blocking and rolling back unsafe deployments to proposing fixes and enforcing policies

This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What you’ll do:

• Build AI-driven deployment gates: Design and ship decision systems that evaluate customer deployments using CI/CD context and Datadog telemetry, producing safe, explainable allow/block outcomes
• Own evals and rollout: Define precision, recall, and trust metrics; build offline and online evals; validate changes in shadow mode; and safely promote improvements to enforcement
• Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, and human-in-the-loop paths so gates behave predictably under noisy or incomplete data
• Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
• Integrate across the Datadog platform: Partner with internal AI teams building the Faulty Deployment Detection pipeline, as well as teams working on LLMs and AI agents
• Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services

Who you are:

• A Product‑minded engineer who ships AI to production
• You have 5+ years experience with backend systems and microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
• You are proficient in a modern programming language; strong API/service design; production ops (monitoring, alerting, on‑call rotation)
• You have proven experience delivering software based on LLM/agent features to production
• You are comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
• An End-to-end AI implementation owner: You understands the end-to-end LLM product lifecycle
• Fluent with offline/online evals for AI systems
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
• Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About The Role:

You’ll work on the frontend foundation of our entire AI platform: reusable components, dynamic interfaces, and shared tooling that power real customer‑facing solutions. This includes tackling frontend challenges that go beyond UI polish, such as building schema‑driven interfaces, enabling multi‑product configurations, and integrating real‑time AI feedback into the user experience.

What You’ll Do:

• Architect, build, and own scalable frontend systems: reusable components, patterns, and UI frameworks
• Lead UI development for cross‑platform features like dashboards, user management, and multi‑step workflows
• Collaborate with product, design, and backend teams to ship polished, high‑impact features
• Advocate for frontend best practices, performance, responsiveness, accessibility, and developer experience
• Help shape our frontend culture, tooling, and architecture as we grow
  
  

What We’re Looking For:

• 5+ years of professional frontend development experience with modern JavaScript frameworks
• Strong expertise with React or Vue, plus modern tooling (bundlers, state management, CSS‑in‑JS or preprocessors)
• Proven track record building scalable, reusable UI component systems
• Clear communication and collaboration skills, especially in fast‑moving teams
• A bias toward ownership, practical decision‑making, and shipping quality code
  
  

Nice to have:

• Experience with design systems or multi‑tenant UIs
• Comfortable working across the stack (Node.js, APIs, backend integration
• Interest in AI/LLM‑based features, runtime integrations, or complex product environments

Why join us?

• Real ownership from day one. Drive decisions, shape ideas and make them work.
• Your fastest learning years. Build alongside founders and VPs in a space that moves weekly.
• You'll have the opportunity to write and build what comes next.

Ready to Build the Future?

If this opportunity excites you, apply now!

We believe “It’s all about the user. All of them.” We’re passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they’re going. We are looking for a passionate Full-Stack Engineer to lead, design and development of core product features and services that power our app used by thousands of travelers on a daily basis. You will work closely with a set of talented engineers, product managers and designers to identify customer needs and build innovative solutions to solve them.

What You’ll Do:
● Design, build and evolve the core backend and frontend of our platform in a scalable and
reliable way.
● Build AI-powered features using multi-agent architectures and LLM integrations to deliver intelligent,
conversational experiences.
● Technically own problem domain: facilitate design, development, and launch of key
microservices in the domain.
● Work cross-functionally with various engineering and product teams to deliver cross-
domain features.
● Work with the leadership to identify, plan, and execute long-term vision.
● Be the Subject Matter Expert of the domain under ownership.

What We're Looking For:
● At least 5 years of experience in software development.
● At least 2 years of experience in FE development using Angular, typescript, and React.
● Experience with Spring Framework and Hibernate or similar ORM technologies.
● Strong programming skills and CS fundamentals.
● Experience with agentic AI systems (LangChain, agent frameworks, prompt engineering) and AI coding tools (Claude Code, Copilot) is a strong plus.
● Deep understanding of microservices and event-driven architectures.
● Strong sense of ownership demonstrated through shipping production-quality code
equipped with testing, monitoring and documentation.
● Passion for investigating and solving problems and willingness to learn and utilize new tools and technologies.
● Team player with strong communication.
● Ability to thrive in a fast-paced environment.
● Experience working at scale.
● Experience with AWS and/or distributed systems is a plus.

Are you excited about the future of AI-powered customer support? We’re looking for a highly analytical and hands-on AI Customer Support & Operations Specialist to help us transform how we support a global user base.

This role sits at the intersection of Customer Support, AI, and Product, where you’ll go beyond traditional ticket handling to actively design, optimize, and scale support workflows using AI tools. You’ll play a key role in improving customer experience, reducing operational workload, and shaping how support evolves in an AI-first environment.

Customer support is no longer just reactive—it’s becoming a core product capability powered by AI. In this role, you’ll help define how we scale support intelligently, improve user experience, and build systems that serve millions of users efficiently.

What You’ll Own

Operate & Optimize AI-Driven Support

• Drive day-to-day operations of AI-powered support tools (chatbots, LLM-based systems, automation workflows).
• Continuously improve AI performance by refining prompts, response quality, and automation logic
• Ensure AI delivers accurate, helpful, and brand-aligned customer interactions.

Improve Support Efficiency & Scale

• Identify opportunities to reduce manual workload through automation and workflow improvements.
• Track and improve key support metrics such as SLA adherence, resolution time, and CSAT.

Analyze Customer Interactions

• Analyze support tickets, conversations, and user behavior to identify patterns and recurring issues.
• Use data to prioritize automation opportunities and support enhancements.

Enhance Customer Experience with Product Teams

• Collaborate closely with Product and Engineering teams to improve in-app user experience.
• Provide structured feedback based on customer pain points and support trends
• Help reduce support volume by improving self-service capabilities..

What You’ll Need to Succeed

Required Background & Experience

• 3–6+ years of experience in Customer Support, Customer Success, or Support Operations roles
• Experience supporting global B2C products (mobile apps, SaaS, or digital platforms
• Strong written and spoken English communication skills
• Experience working across multiple time zones and international customer bases
• Solid understanding of support processes, SLAs, and handling complex/escalated cases

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

BeyondTrust is a global leader in privileged access management. Our products provide remote access and privileged control capabilities that are deployed across thousands of enterprise environments worldwide. That makes us a high-value target. Nation-state actors, ransomware operators, and sophisticated threat groups actively target companies like ours—not just to compromise our corporate environment, but to reach the customers who trust our software to protect their most sensitive systems. A compromise of BeyondTrust is a compromise of the privileged access layer inside our customers’ networks. We take that responsibility seriously.

As a SOC Analyst on our Cyber Defense Operations team, you will serve as a front-line defender responsible for protecting both BeyondTrust’s enterprise infrastructure and the integrity of the products our customers depend on. You will monitor, investigate, and respond to security events in an environment where the stakes are real and the adversaries are capable. You will work alongside experienced threat hunters, incident responders, and detection engineers in a collaborative team that values sharp analytical thinking over checkbox compliance.

This team is building toward an AI-augmented operating model. You will be expected to use AI-driven tools in your daily work and to contribute to how we integrate these capabilities into our detection, triage, and response workflows. We are not looking for people who are waiting to be told what to do—we are looking for people who want to build something.

What You’ll Do

Alert Triage & Monitoring 

• Monitor and triage security alerts across SIEM, EDR, and CSPM platforms covering both corporate and product environments.
• Investigate alerts to determine scope, severity, and whether escalation is warranted.
• Leverage AI-assisted triage and enrichment tools to accelerate analysis and reduce mean time to detect.
• Classify, document, and track alerts through the full lifecycle using ticketing and case management systems.

Incident Response & Investigation 

• Participate in or lead incident response engagements from detection through remediation, including evidence collection, forensic analysis, root cause determination, and stakeholder communication.
• Conduct investigations across SIEM, EDR, CSPM, and cloud-native log sources including identity provider logs, cloud audit trails, and network flow data—spanning both corporate and product infrastructure.
• Execute established IR runbooks across identity, endpoint, cloud, and email investigation workflows.
• Manage or assist with evidence handling, forensic artifact collection, and chain-of-custody procedures.
• Produce clear, decision-ready incident summaries and post-incident reports for both technical and leadership audiences.

Detection Engineering & Threat Intelligence 

• Contribute to the design, implementation, and tuning of detection rules across SIEM and EDR platforms, with a focus on reducing false positives and closing coverage gaps.
• Translate threat intelligence (CVE advisories, CISA alerts, vendor bulletins, open-source feeds) into actionable detection content, with particular attention to threats targeting privileged access tooling and supply chain attack vectors.
• Help maintain and evolve detection coverage mapped to MITRE ATT&CK.
• Partner with threat hunting peers to validate detection logic through hypothesis-driven hunts.

AI Integration & Automation 

• Use AI-driven tools for alert triage, enrichment, and investigation as a standard part of daily operations.
• Contribute to the evaluation, integration, and optimization of AI and automation capabilities across the team’s workflows.
• Assist in designing prompts, agent workflows, or LLM-based pipelines that augment analyst capabilities and reduce manual effort.
• Partner with engineering teams to improve log ingestion, data quality, and tool integrations.

Operational Excellence 

• Maintain daily operational notes and shift handoff documentation.
• Contribute to and refine IR runbooks, playbooks, and standard operating procedures.
• Participate in on-call rotation for after-hours incident escalation.
• Track and report on operational metrics (MTTD, MTTR, MTTC, false positive rate) and identify improvement opportunities.
• Participate in tabletop exercises, purple team activities, and post-incident reviews. 

What You’ll Bring

• 2+ years of experience in a SOC, security operations, or incident response role.
• Understanding of common attack frameworks (MITRE ATT&CK), network protocols, and endpoint behavior.
• Experience with at least one SIEM platform and familiarity with writing search or detection queries.
• Familiarity with EDR platforms and cloud environments (IaaS preferred).
• Comfort using AI systems (e.g., LLM-based assistants, copilots, or AI-driven analysis tools) as part of security workflows.
• Strong written communication skills; able to document findings clearly and concisely for both technical and non-technical audiences.

Nice To Have

• Experience leading or co-leading complex incident response engagements from triage through remediation.
• Experience with identity and access management platforms and cloud security posture management tools.
• Scripting and automation skills (Python, PowerShell, or equivalent) applied to security workflows.
• Familiarity with SOAR platforms or orchestration tools for automated response and enrichment.
• Experience designing or implementing AI agent architectures, LLM-based automation pipelines, or prompt engineering for security use cases.
• Experience building or contributing to threat intelligence programs or detection-as-code pipelines.
• Understanding of the privileged access management landscape and the threat actors that target it.
• Track record of evaluating and adopting emerging technologies in a production security environment.

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DF1

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

BeyondTrust is a global leader in privileged access management. Our products provide remote access and privileged control capabilities that are deployed across thousands of enterprise environments worldwide. That makes us a high-value target. Nation-state actors, ransomware operators, and sophisticated threat groups actively target companies like ours—not just to compromise our corporate environment, but to reach the customers who trust our software to protect their most sensitive systems. A compromise of BeyondTrust is a compromise of the privileged access layer inside our customers’ networks. We take that responsibility seriously.

As a SOC Analyst on our Cyber Defense Operations team, you will serve as a front-line defender responsible for protecting both BeyondTrust’s enterprise infrastructure and the integrity of the products our customers depend on. You will monitor, investigate, and respond to security events in an environment where the stakes are real and the adversaries are capable. You will work alongside experienced threat hunters, incident responders, and detection engineers in a collaborative team that values sharp analytical thinking over checkbox compliance.

This team is building toward an AI-augmented operating model. You will be expected to use AI-driven tools in your daily work and to contribute to how we integrate these capabilities into our detection, triage, and response workflows. We are not looking for people who are waiting to be told what to do—we are looking for people who want to build something.

What You’ll Do

Alert Triage & Monitoring 

• Monitor and triage security alerts across SIEM, EDR, and CSPM platforms covering both corporate and product environments.
• Investigate alerts to determine scope, severity, and whether escalation is warranted.
• Leverage AI-assisted triage and enrichment tools to accelerate analysis and reduce mean time to detect.
• Classify, document, and track alerts through the full lifecycle using ticketing and case management systems.

Incident Response & Investigation 

• Participate in or lead incident response engagements from detection through remediation, including evidence collection, forensic analysis, root cause determination, and stakeholder communication.
• Conduct investigations across SIEM, EDR, CSPM, and cloud-native log sources including identity provider logs, cloud audit trails, and network flow data—spanning both corporate and product infrastructure.
• Execute established IR runbooks across identity, endpoint, cloud, and email investigation workflows.
• Manage or assist with evidence handling, forensic artifact collection, and chain-of-custody procedures.
• Produce clear, decision-ready incident summaries and post-incident reports for both technical and leadership audiences.

Detection Engineering & Threat Intelligence 

• Contribute to the design, implementation, and tuning of detection rules across SIEM and EDR platforms, with a focus on reducing false positives and closing coverage gaps.
• Translate threat intelligence (CVE advisories, CISA alerts, vendor bulletins, open-source feeds) into actionable detection content, with particular attention to threats targeting privileged access tooling and supply chain attack vectors.
• Help maintain and evolve detection coverage mapped to MITRE ATT&CK.
• Partner with threat hunting peers to validate detection logic through hypothesis-driven hunts.

AI Integration & Automation 

• Use AI-driven tools for alert triage, enrichment, and investigation as a standard part of daily operations.
• Contribute to the evaluation, integration, and optimization of AI and automation capabilities across the team’s workflows.
• Assist in designing prompts, agent workflows, or LLM-based pipelines that augment analyst capabilities and reduce manual effort.
• Partner with engineering teams to improve log ingestion, data quality, and tool integrations.

Operational Excellence 

• Maintain daily operational notes and shift handoff documentation.
• Contribute to and refine IR runbooks, playbooks, and standard operating procedures.
• Participate in on-call rotation for after-hours incident escalation.
• Track and report on operational metrics (MTTD, MTTR, MTTC, false positive rate) and identify improvement opportunities.
• Participate in tabletop exercises, purple team activities, and post-incident reviews. 

What You’ll Bring

• 2+ years of experience in a SOC, security operations, or incident response role.
• Understanding of common attack frameworks (MITRE ATT&CK), network protocols, and endpoint behavior.
• Experience with at least one SIEM platform and familiarity with writing search or detection queries.
• Familiarity with EDR platforms and cloud environments (IaaS preferred).
• Comfort using AI systems (e.g., LLM-based assistants, copilots, or AI-driven analysis tools) as part of security workflows.
• Strong written communication skills; able to document findings clearly and concisely for both technical and non-technical audiences.

Nice To Have

• Experience leading or co-leading complex incident response engagements from triage through remediation.
• Experience with identity and access management platforms and cloud security posture management tools.
• Scripting and automation skills (Python, PowerShell, or equivalent) applied to security workflows.
• Familiarity with SOAR platforms or orchestration tools for automated response and enrichment.
• Experience designing or implementing AI agent architectures, LLM-based automation pipelines, or prompt engineering for security use cases.
• Experience building or contributing to threat intelligence programs or detection-as-code pipelines.
• Understanding of the privileged access management landscape and the threat actors that target it.
• Track record of evaluating and adopting emerging technologies in a production security environment.

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DF1

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

BeyondTrust is the worldwide leader in intelligent identity and access security, empowering organizations to protect identities, stop threats, and securely deliver dynamic access. Our industry-leading platform and integrated products offer the most advanced Privileged Access Management (PAM) and Cloud Infrastructure Entitlements Management (CIEM) solutions, enabling enterprises to reduce their attack surface across traditional, cloud, and hybrid environments. 

Entitle, BeyondTrust’s industry leading product offering provides granular, just‑in‑time access and advanced permission management across cloud infrastructure, SaaS, and modern enterprise environments. As part of our vision to become the modern standard for identity security in multi‑cloud infrastructure, we are accelerating toward a future where secure access for humans and machines is automated, intelligent, and increasingly free of human‑managed processes. We place a heavy emphasis on building products that address our customers' modern pain points, making security and compliance a low-effort activity. We value technical curiosity and proactive learning. The ideal PM keeps pace with the market and technology changes, understands the implications, and helps to craft roadmaps that deliver outcomes in support of our customers. 

As a Senior Product Manager for Entitle, you will be a major stakeholder in the product strategy and lead the execution across a cross-functional team. You will collaborate with leadership to shape the long-term vision, partner closely with engineering and design, and own delivery of platform-wide capabilities that scale with our rapidly growing user base.

What You’ll Do

• Develop, execute, and maintain an agile product, roadmap and craft user stories with the broader product management team as a core part of BeyondTrust’s identity security portfolio.
• Define and prioritize features for visibility, permission management, least privilege, compliance automation, and identity governance.
• Oversee the full product lifecycle from concept through launch and performance measurement.
• Champion user needs through AI-driven insights, research, and continuous delivery.
• Translate customer, market, and business requirements into actionable roadmaps and measurable outcomes.
• Collaborate with engineering to deliver secure, technically sound products aligned with best practices.
• Monitor industry trends and competitors to inform product direction and strategy.
• Lead the shift to probabilistic product experiences, balancing user experience with security and reliability.
• Support sales and pre-sales activities, and gather feedback from internal and external stakeholders to refine enhancements.

What You’ll Bring

• Self-reliant leader and team player, with a “let’s do this” approach
• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or related field.
• 4+ years of proven product management experience in identity management or security SaaS platforms.
• Experience with PM AI tools, LLM prototyping and prompt engineering.
• Fluency in the modern AI stack, demonstrable experience building or integrating AI/ML-powered features.
• Technical background in Identity Security, Identity Access Management, Privileged Access Management, Identity Threat Detection and Response, Cloud Infrastructure, Cloud Security Management, Cloud Infrastructure Entitlements Management, or related discipline.
• Relevant military experience is considered an advantage.
• Experience with public cloud computing, e.g. Azure, AWS, Google Cloud Platform
• Experience with Agile methodologies and a track record of delivering results in a fast-paced environment, specifically within the Software Development Lifecycle (SDLC)
• Excellent written, verbal, and presentation English communication skills, effectively contributing within an international corporate setting
• Demonstrates strong organizational skills by effectively multitasking and prioritizing responsibilities, maintains a professional demeanor at all times, and consistently supports and adheres to the Company’s Core Values.
• Have a passion for design and good UX
• Willingness to travel (not often, but we would need someone open to it when or if it is ever needed)

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-BS1

Founded in 2018 and already valued at over $8 billion, Fireblocks is a SaaS platform that helps companies to create innovative products on the blockchain and manage day-to-day crypto operations. Fireblocks is trusted by some of the largest financial institutions, banks, globally recognized brands, and Web3 companies in the world, including BNY Mellon, BNP Paribas, ANZ Bank, Revolut, and thousands more, to securely scale digital asset operations through the Fireblocks Network and MPC-based wallet infrastructure. We have offices in New York, London, Tel Aviv, and Singapore, and we are continuing to expand our teams to reach new customers globally.

The Security & Information team is looking for someone who is passionate about technology and has a roll-up-their-sleeves mentality to join our global team. You’ll play a crucial role in enhancing our security infrastructure, improving networking, ensuring scalability, and maintaining strong security as we continue to grow. If you want to be an industry leader, on a team experiencing hyper-growth, look no further! 

Responsibilities 

• Lead the design and implementation of AI-driven detection and response strategies to automate complex security investigations.
• Operates as the primary escalation point for critical security alerts, performing deep-dive DFIR investigations, analyzing attacker techniques and vectors, proactively hunting threats, and directing incident response activities.
• Lead SecOps projects from inception to execution, ensuring effective implementation and ongoing maintenance
• Research how to leverage security telemetry and existing security solutions to improve triage and automated response.
• Work cross-functionally to refine and evolve agentic workflows that drive automated security operations.
• Coordinate investigation, containment, and other response activities with business stakeholders and groups.
• Perform hands-on forensic investigations, log reviews, cloud investigations, and root-cause analysis
• Develop incident analysis and findings reports for management, including gap identification and recommendations for improvement.

Minimum Requirements 

• 5+ years experience working in an Incident Response/Cyber Security Operations Center (in-house or outsourced) addressing, escalating, and managing security incidents and creating incident reports.
• Extensive experience in managing the lifecycle of security incidents in a global, 24/7 production environment..
• Collaborating with various cross-organizational stakeholders to drive incident response and remediation.
• Development of common runbooks for most frequent or critical incident types.
• Strong development fundamentals with experience delivering and maintaining production-grade code.
• Coding & Scripting: Hands-on programming experience (Python, Bash, etc.) with proven ability to build automation processes.
• Proven expertise in attack and mitigation methods within Cloud and SaaS environments 
• Solid understanding of system and security controls on at least two OSs (Windows, Linux / Unix, and MacOS (Advantage), including host-based forensics and experience with analyzing OS artifacts.
• Problem solver, an in-depth thinker with a growth mindset.
• Excellent communication skills and ability to work collaboratively with other teams 

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field
• Solid understanding of LLM concepts and architectures, with hands-on experience applying them in practice.

About Us

At Unframe, we build AI-powered products that address real-world challenges. Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery. We work on-site from our Tel Aviv office, collaborating closely across engineering, product, and AI to move fast and build with purpose.

What You'll Do

As an Applied AI Engineer, you’ll work closely with customers and internal teams to translate business problems into AI-driven solutions. You’ll be hands-on with AI workflows, and help bridge the gap between model capabilities and real-world impact.

Responsibilities

• Implement workflows and configure model behavior for customer solutions.
• Build integrations between AI logic and deterministic building blocks.
• Work with platform and research teams to surface platform-level improvements.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering, data science, machine learning, or research roles (including relevant academic experience).
• Experience building and delivering production solutions to customers using Python, TypeScript, or similar.
• Experience building pipelines for structured and unstructured data, including work with vector databases and retrieval-augmented generation (RAG)-like architectures.
• Experience with prompt design, evaluation, and iteration workflows.
• Ability to rapidly understand complex domains and read and implement research papers.
• Comfortable working with real-time applications and production systems.

Nice to Have

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Google ADK) and patterns such as ReAct, self-reflection, and hierarchical delegation.
• Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Background in data pipelines, APIs, or system integrations.
• Experience working with enterprise or B2B customers.
• Experience working in fast-paced startup environments.

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the Role

We’re hiring a VP Finance to build and lead our in house finance function as we scale.

This is a high-trust, high-impact role, working closely with the CEO and leadership team. You’ll take ownership of all financial strategy and operations, bringing finance fully in-house and building the infrastructure needed to support a fast-growing global company.

This role requires experience running finance in a US-based company (US Inc.) and navigating a multi-entity structure.

The role is both strategic and hands-on, from shaping company direction and working with investors, to building models and setting up the right processes.

What You’ll Do

• Take full ownership of Unframe’s finance function across a complex multi-entity structure (US Inc., Israeli Ltd., German GmbH)
  
  
• Build and scale the finance function in house, including hiring and leading the team
  
  
• Partner closely with the CEO on strategic planning, decision-making, and company growth
  
  
• Lead financial planning, forecasting, and reporting (including board materials)
  
  
• Support fundraising and investor relations
  
  
• Establish scalable processes, systems, and financial infrastructure
  
  
• Work cross-functionally with marketing, product, and sales on key financial topics
  
  
  

What We’re Looking For

• 6+ years of relevant experience in a senior finance role (VP Finance / CFO level)
  
  
• Experience in a startup or scale-up environment, scaling a company through growth
  
  
• Strong background in B2B SaaS (metrics, business model, revenue understanding)
  
  
• Experience owning the finance function in a US-based company (US Inc.)
  
  
• Proven experience managing finance across multiple entities / geographies
  
  
• Track record of building or scaling a finance function or team
  
  
• Hands-on mindset with strong strategic thinking
  
  
• Fluent in Hebrew and English
  
  
• Based in Tel Aviv (in-office)
  
  

Why Join Us

This is a unique opportunity to step into a central leadership role at a fast-growing AI company, working directly with the CEO and having real influence over strategic and financial decisions. You’ll build the finance function from the ground up, shape how the company scales globally, and be part of a team that moves fast, owns what they build, and works on real products used by leading enterprises.

Glilot, Israel 
Hybrid 
Full-time

What you’ll do:

• Lead the design, evolution and day-to-day ownership of Payoneer’s CI/CD delivery platform used across R&D 

• Architect and maintain high-performance, fault tolerant, scalable ALM systems – from version control, builds and deployments to monitoring, configuration management and release gates 

• Drive GitOps-based delivery and Kubernetes deployment patterns across public and private cloud environments 

• Build shared pipeline templates, reusable extensions and self-service tooling that let product teams ship safely without reinventing the wheel 

• Own delivery-platform SLOs and reliability – drive root-cause analysis, permanent fixes, and continuous improvements to build/deploy speed and stability 

• Partner with Security, SRE and Compliance to embed SAST/DAST/SCA and secret scanning 

• Work closely with product, QA, developers and IT/Operations to streamline their working methods and remove friction from the software delivery lifecycle 

• As a member of the team, participate in ‘On-Call’ duties on Payoneer production systems, working in non-conventional hours including weekends and holidays (from time to time), and lead major incidents when needed 

Who you are: 

• At least 5 years’ experience as a DevOps / Platform / Build & Release Engineer, with clear senior-level scope (cross-team initiatives, technical leadership, mentoring) 
• A minimum of 3 years of exposure running production workloads in public cloud (AWS, Azure or GCP) and hybrid environments 
• Strong experience designing and operating CI/CD platforms and ALM tooling (Azure DevOps strongly preferred; GitHub Actions / GitLab CI / Jenkins also relevant), including shared templates, custom tasks/extensions and source control management (Git, SonarQube, Artifactory/Harbor, etc.) 

• Proven experience with GitOps at scale (ArgoCD or Flux) and Helm-based delivery 

• Experience leveraging AI/LLM tooling (Cursor, Copilot, Claude Code, MCP) to accelerate delivery, and building AI-assisted automations into CI/CD pipelines and internal developer platforms 

• Strong experience with configuration management tools like Ansible, Chef or Puppet, and Infrastructure as Code (Terraform) 

• Proven scripting capabilities in PowerShell / Bash / Python, with a track record of building internal tools that remove toil for many teams 

• High level Linux OS expertise; comfortable also operating Windows server workloads 

• Programming experience (C#, NodeJS or similar) – you can contribute to real services, not just scripts 

• Experience managing application servers and web servers in regulated / mission-critical environments 

• Experience with monitoring and logging solutions (e.g. Prometheus, Grafana, ELK, Dynatrace)
• BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experience

#LI-AG2

About us

At Unframe, we build AI-powered products that address real-world challenges. Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery. We work together on-site at our Tel Aviv office, collaborating closely across engineering, product, and AI to move fast and build with purpose

What You'll Do

You’ll be responsible for solving some of the most complex engineering challenges at Unframe. This role is deeply technical: designing architectures, debugging hard problems, improving core systems, and building reliable foundations for AI-native products.When something mission-critical needs to get done, you’re the engineer we trust.

Responsibilities

• Own end-to-end architecture and implementation of complex backend and system components.
• Design scalable, reliable services that support high-velocity product development.
• Dive deep into hard problems across performance, data modeling, stability, and APIs.
• Partner with platform, applied AI, and fullstack teams to land robust, observable systems.
• Improve system reliability and developer experience through tooling, standards, and architecture.
  
  

Requirements

• 6+ years in software engineering with strong evidence of owning complex systems.
• Deep proficiency in Node.js (clean backend architecture is key).
• Strong relational database fundamentals (PostgreSQL) and experience designing data models.
• Exceptional debugging skills and strong engineering judgment.
• Fast learner with the ability to ramp into new domains independently.
  
  

Nice to have

• Experience with distributed systems, caching, messaging, or multi-tenant architectures.
• Experience integrating AI/LLM capabilities into backend systems.
• Infra or platform experience (observability, CI/CD tooling, APIs).

About us

At Unframe, we build AI-powered products that address real-world challenges.
Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery.
We work together on-site at our Tel Aviv office, collaborating closely across engineering, product, and AI to move fast and build with purpose.

What You'll Do

As a Senior Full Stack Software Engineer, you will lead a major product area end-to-end, shaping architecture and delivering production-ready AI-native applications.
You’ll take ownership of complex challenges, set a high bar for quality and execution, and work closely with Product and AI teams to build scalable solutions.

Responsibilities

• Lead the architecture and delivery of a full-stack product vertical (backend + UI).
• Break down complex problems and drive them to production independently.
• Ship high-impact functionality quickly, then harden it for reliability and scale.
• Raise the bar for code quality, testing, observability, and performance.
• Mentor other engineers through design reviews, pairing, and technical guidance.
• Work closely with product, customers, and platform teams to define solutions that matter.
  
  

Requirements

• 6+ years of experience building user-facing products end-to-end.
• Deep proficiency in JavaScript, TypeScript, Node.js, Vue/React, PostgreSQL (or other relational DB).
• Strong architectural instincts and the ability to design clean, scalable systems.
• Proven ability to take ownership of a problem from zero-to-one → production.
• Sharp communication, strong judgment, and fast learning ability.
  
  

Nice to have

• Experience integrating AI/LLM capabilities into production apps.
• Background in multi-tenant systems, performance tuning, or platform work.

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role

We’re looking for a Group Product Manager (GPM) to lead a team of Product Managers and own a portfolio of enterprise AI solutions in production.

This is a highly ambiguous, fast-paced environment where many problems are not predefined. You will be expected to deeply understand customer needs, identify the right problems to solve, and lead your team in building solutions that deliver meaningful business value.

You will operate as a product leader with end-to-end ownership, shaping opportunities, driving execution, and scaling successful solutions.

What you’ll do

• Lead a team of Product Managers working on complex, high-impact AI solutions in production
  
  
• Work closely with customers and internal teams to identify high-value problems and define what to build
  
  
• Operate in high ambiguity, shaping opportunities where requirements are not clearly defined
  
  
• Drive the development of new solutions from early stages to production, making key product and trade-off decisions
  
  
• Own a portfolio of solutions across one or more enterprise customers, setting priorities across multiple parallel initiatives
  
  
• Balance speed of execution with long-term scalability, quality, and product thinking
  
  
• Identify patterns across solutions and push for reuse and productization
  
  
• Mentor and develop Product Managers, helping them operate effectively in a fast-paced, ambiguous environment

What we’re looking for

• 7+ years of product management experience, including 2+ years leading Product Managers, in high-growth or complex environments
  
  
• Experience managing strong PMs, setting direction while empowering ownership and independent decision-making
  
  
• Ability to operate in ambiguity, define problems, and lead teams in building new solutions from early stages to production
  
  
• Proven track record of driving products or systems from concept to real-world impact, balancing speed, quality, and scalability
  
  
• Experience working on complex systems and with enterprise customers, navigating competing needs and constraints
  
  
• Strong cross-functional leadership and communication skills, working closely with engineering, AI, GTM, and customers

Why this role is unique

This isn’t a typical product role. You won’t inherit a roadmap, you’ll help define what’s worth building, working on real problems with real enterprise customers. You’ll operate in a true 0→1 environment at scale, taking ideas all the way to production. From day one, you’ll have real ownership, shaping direction, making decisions, and leading a team through ambiguity. You’ll work closely with founders and senior leaders in a fast-moving company where things actually get built.

About the Role:

We’re looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.

This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features—from data pipelines and LLM orchestration to intuitive UI experiences—with a strong product mindset.

Responsibilities:

🧠 AI Agent Design & Integration

• Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
• Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
• Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).

🏗 Fullstack Product Development

• Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
• Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
• Collaborate closely with design, product, and data teams to bring ideas from concept to production.

⚙️ Systems & Infrastructure

• Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
• Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
• Ensure systems are secure, reliable, and compliant with InfoSec standards.

🧪 Experimentation & Continuous Improvement

• Rapidly prototype and iterate on new AI capabilities and user experiences.
• Analyze performance and usage metrics to drive product and model improvements.
• Stay up to date with the evolving AI toolchain and emerging agent architectures.

Requirements:

• 8+ years of fullstack development experience with strong skills in TypeScript/JavaScript, React, and Python (or Node/Go for backend).
• Solid understanding of LLM APIs, agent frameworks (e.g., LangChain, AutoGPT, CrewAI), or custom AI pipelines- Advantage 
• Experience with modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD).
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG)- Advantage 
• Product-oriented mindset: you care deeply about building things that work well for users.
• Bonus: experience with observability, feedback loops for AI agents, or embedded AI evaluation techniques.

Why Join Us:

• Shape the foundation of our AI-first product vision.
• Work closely with a world-class team of engineers, product leaders, and data scientists.
• Opportunity to own impactful systems and ship fast in a nimble environment.
• Competitive compensation, equity, and benefits in a fast-growing company.

Realize your potential by joining the leading performance-driven advertising company!  

Taboola, the world’s largest content recommendation platform, is hiring a Senior Performance Account Manager for our TLV Office. In this role, you will be directly responsible for managing a book of business of tier-1 clients, identifying and executing upsell & optimization opportunities at scale. 

You will excel in this role if you enjoy working in a highly technological & analytical environment, and love developing rock-solid relationships with international clients.

 To thrive in this role, you'll need:

• B.A / BSc degree
• 5+ years of professional client facing experience in a B2B client-facing role in the Programmatic / Performance Marketing space - a must
• Ability to provide world-class client service while keeping a focus on growing revenues
• Strong analytical skills - proficient in working with Excel advanced functions. Familiarity with BI platforms such as Tableau / QlikSense / Looker - an advantage
• Love for data-driven decision making - ability to monitor, A/B test and identify trends in data to generate action items and insights
• Excited about complex analytical challenges and enjoy solving them
• Fluency in English
• You are highly motivated, super proactive and dedicated person
• You are a natural collaborator, able to work with multiple teams to reach a common goal
• You are a quick learner with great attention to details and multi-tasking capabilities

Bonus points if you have:

• Experience working with programmatic platforms (SSPs & DSPs) on different types of integrations, preferably OpenRTB
• A love for the challenge of upselling and relationship building with large, international B2B organizations
• Familiarity with different AI tools and the ambition to adopt LLM based functions to improve productivity

How you’ll make an impact:

• Manage a book of business of programmatic partners - understand client strategic objectives & KPIs in order to be able to intelligently identify and execute opportunities, upsell effectively and grow the overall partnership
• Monitor, troubleshoot and optimize performance for different types of client integrations and activities
• Use data analytics tools (Tableau, QlikSense, Excel, etc.) on a daily basis to draw business conclusions and identify opportunities for growth
• Routinely meet & have weekly calls with your clients to share insights & potential initiatives, and review overall performance - backed by data
• Successfully build and maintain close relationships with key people in your book-of-business. Strengthen partnerships with clients and influence their business strategy & decision making
• Develop and execute long-term account plans and conduct QBR (quarterly business review) meetings with strategic clients
• Work very closely with Product Management- as well as other internal teams - to increase client engagement by building new features / improving products based on clients feedback, as well as troubling technical issues

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym, parking).
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-GG1

#LI-Hybrid

Realize your potential by joining the leading performance-driven advertising company!  

Taboola, the world’s largest content recommendation platform, is hiring a Senior Account Manager (Programmatic) for our TLV Office. In this role, you will be directly responsible for managing a book of business of tier-1 clients, identifying and executing upsell & optimization opportunities at scale. 

You will excel in this role if you enjoy working in a highly technological & analytical environment, and love developing rock-solid relationships with international clients.

 To thrive in this role, you'll need:

• B.A / BSc degree
• 5+ years of professional client facing experience in a B2B client-facing role in the online media / performance marketing space
• Ability to provide world-class client service while keeping a focus on growing revenues
• Strong analytical skills - proficient in working with Excel advanced functions. Familiarity with BI platforms such as Tableau / QlikSense / Looker - an advantage
• Love for data-driven decision making - ability to monitor, A/B test and identify trends in data to generate action items and insights
• Excited about complex analytical challenges and enjoy solving them
• Fluency in English
• You are highly motivated, super proactive and dedicated person
• You are a natural collaborator, able to work with multiple teams to reach a common goal
• You are a quick learner with great attention to details and multi-tasking capabilities

Bonus points if you have:

• Experience working with programmatic platforms (SSPs & DSPs) on different types of integrations, preferably OpenRTB
• A love for the challenge of upselling and relationship building with large, international B2B organizations
• Familiarity with different AI tools and the ambition to adopt LLM based functions to improve productivity

How you’ll make an impact:

• Manage a book of business of programmatic partners - understand client strategic objectives & KPIs in order to be able to intelligently identify and execute opportunities, upsell effectively and grow the overall partnership
• Monitor, troubleshoot and optimize performance for different types of client integrations and activities
• Use data analytics tools (Tableau, QlikSense, Excel, etc.) on a daily basis to draw business conclusions and identify opportunities for growth
• Routinely meet & have weekly calls with your clients to share insights & potential initiatives, and review overall performance - backed by data
• Successfully build and maintain close relationships with key people in your book-of-business. Strengthen partnerships with clients and influence their business strategy & decision making
• Develop and execute long-term account plans and conduct QBR (quarterly business review) meetings with strategic clients
• Work very closely with Product Management- as well as other internal teams - to increase client engagement by building new features / improving products based on clients feedback, as well as troubling technical issues

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym, parking).
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-GG1

#LI-Hybrid

Realize your potential by joining the leading performance-driven advertising company!  

Taboola, the world’s largest content recommendation platform, is hiring a Senior Programmatic Account Manager for our TLV Office. In this role, you will be directly responsible for managing a book of business of tier-1 clients, identifying and executing upsell & optimization opportunities at scale. 

You will excel in this role if you enjoy working in a highly technological & analytical environment, and love developing rock-solid relationships with international clients.

 To thrive in this role, you'll need:

• B.A / BSc degree
• 5+ years of professional client facing experience in the Programmatic / Performance Marketing space - a must
• Ability to provide world-class client service while keeping a focus on growing revenues
• Strong analytical skills - proficient in working with Excel advanced functions. Familiarity with BI platforms such as Tableau / QlikSense / Looker - an advantage
• Love for data-driven decision making - ability to monitor, A/B test and identify trends in data to generate action items and insights
• Excited about complex analytical challenges and enjoy solving them
• Fluency in English
• You are highly motivated, super proactive and dedicated person
• You are a natural collaborator, able to work with multiple teams to reach a common goal
• You are a quick learner with great attention to details and multi-tasking capabilities

Bonus points if you have:

• Experience working with programmatic platforms (SSPs & DSPs) on different types of integrations, preferably OpenRTB
• A love for the challenge of upselling and relationship building with large, international B2B organizations
• Familiarity with different AI tools and the ambition to adopt LLM based functions to improve productivity

How you’ll make an impact:

• Manage a book of business of programmatic partners - understand client strategic objectives & KPIs in order to be able to intelligently identify and execute opportunities, upsell effectively and grow the overall partnership
• Monitor, troubleshoot and optimize performance for different types of client integrations and activities
• Use data analytics tools (Tableau, QlikSense, Excel, etc.) on a daily basis to draw business conclusions and identify opportunities for growth
• Routinely meet & have weekly calls with your clients to share insights & potential initiatives, and review overall performance - backed by data
• Successfully build and maintain close relationships with key people in your book-of-business. Strengthen partnerships with clients and influence their business strategy & decision making
• Develop and execute long-term account plans and conduct QBR (quarterly business review) meetings with strategic clients
• Work very closely with Product Management- as well as other internal teams - to increase client engagement by building new features / improving products based on clients feedback, as well as troubling technical issues

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym, parking).
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-GG1

#LI-Hybrid

About the Role:

We're hiring a Director of Product Design to own the craft and quality bar across Hello Heart's product experiences and go-to-market surfaces. Reporting to the VP of Product Design, you'll be a hands-on design leader, keeping UI quality, UX patterns, and brand cohesion consistent as we scale across a B2B2C portfolio that spans a connected device, AI features, and behavior change.
You'll directly shape our highest-stakes launches and executive storytelling, push AI-forward design workflows, and tighten collaboration with Engineering, without compromising trust, privacy, or accessibility.

Responsibilities:

• Contribute to the "AI-first" product design vision: Establish UX patterns for AI-driven product experiences, while architecting internal frameworks and using generative tools to accelerate the entire product design lifecycle
• Uphold the visual quality bar across product lines and go-to-market by being hands-on on the highest-stakes work: directly designing key launch moments, executive storytelling assets, and solutions to complex visual and interaction problems, with consistent brand expression across the portfolio.
• Define and maintain cross-product UX patterns and layout guardrails: navigation, data presentation, key screens, and visual style, without adding process overhead.
• Act as a craft delegate to the VP of Product Design, running critiques and first-pass reviews, surfacing risks early, and accelerating decisions.
• Coach designers and writers through pragmatic, high-signal feedback, with a focus on user understanding, trust, and actionability for people managing heart health.
• Support hiring, portfolio calibration, and selective external representation to reinforce our quality bar and attract people excited by AI, hardware, and health outcomes.

Qualifications:

• Practical fluency with AI tools used in UX work: LLM assistants, AI-enabled design features, generative media, research synthesis, applied to real delivery and not just experimentation.
• 10+ years of product design experience, including leadership on strategic products with measurable impact and clear evidence of designing for behavior change.
• Strong visual design, interaction design, and information architecture skills, with a portfolio that demonstrates craft and clarity in data-heavy, high-trust experiences.
• Demonstrated success in mentoring designers and influencing cross-functional product development, particularly in complex B2B2C models where both partners and end users matter.
• Strong product storytelling and communication skills, able to drive alignment and make quality tradeoffs explicit in terms of user and business outcomes.
• Solid grounding in user research and evidence-based decision-making, with instincts for clarity, accessibility, and trust across diverse users.
• Mastery of Figma, prototyping tools, and design documentation practices.
• Comfortable operating independently in a fast-moving environment, driving progress through influence across a multi-product portfolio that includes a connected device.

Who we are:

Resident is an industry leader in the Direct-to-Consumer (e-commerce) space. While our customers are primarily based in the US, our R&D, Product, and Data teams have been operating out of Tel Aviv since our founding. Our mission is simple: we are building a best-in-class e-commerce platform that leverages data and technology to create a competitive advantage for our brands.  Starting from the marketing acquisition funnel and continuing through each customer’s journey, our tools and technology enable us to go the extra step to deliver a world-class customer experience.

Our company is built around continuously improving our ability to introduce new customers to our products and wow them with exceptional experiences through the shopping and post-purchase journey.  We love to use data and metrics to drive our decisions while keeping in mind that customers don’t speak in numbers and that each one should be treated as a member of our family. Oh, and by the way, you’ll get to work with a diverse group of experts around the globe. You can expect a hard-working team of people who understand how to create meaningful connections and get great work done virtually - it’s in our nature!

What we do:

Our DevOps team is responsible for the Resident platforms end-to-end, from cloud infrastructure to production delivery. We build and operate the systems that enable engineering teams to move fast and safely, while ensuring high standards of reliability, security, performance, and scalability. Through automation, strong architecture, and secure-by-design practices, we continuously improve how we deploy, monitor, and protect our production environments.

What you will be doing: 

As the sole DevSecOps owner within the DevOps team, you will take end-to-end responsibility for improving the security of our cloud and production environments. You will design and implement security controls across AWS/GCP- from hardening infrastructure and securing Kubernetes to ensure our platform stays secure as it scales.

You will work closely with cross-functional teams such as DevOps, R&D, Product, and Data to embed security into the way we build software. This role is ideal for someone who wants to make a real impact, takes ownership of cross-team initiatives, is curious and eager to learn, and enjoys driving improvements that raise the security bar across the company.

This is a hybrid role, requiring 2 days per week at our R&D site in Tel Aviv.

Responsibilities:

• Architect, implement, and maintain a strong security posture across cloud environments (AWS / GCP), aligned with best practices (CIS Benchmarks, Well-Architected Framework)
• Own and integrate automated security controls into CI/CD pipelines (SAST, DAST, SCA, container scanning), including tuning to reduce noise and enforce policy gates
• Secure Infrastructure as Code (IaC) and harden servers, services, and Kubernetes clusters
• Design and manage IAM, roles, policies, and secrets management to enforce Least Privilege
• Lead security initiatives around emerging technologies, including AI models, LLM integrations, and data pipelines
• Continuously monitor and drive remediation of vulnerabilities and security findings across the stack
• Partner with Developers and Data Engineers to embed security into the SDLC and strengthen security culture
• Support security operations, including incident response and root cause analysis

Qualifications:

• 3+ years of hands-on experience in DevOps, SRE, DevSecOps, or Cloud Security roles in production environments
• Strong ownership mindset with proven ability to lead initiatives end-to-end with minimal supervision
• Strong cloud security expertise (AWS or GCP preferred), including IAM, networking, and managed services
• Strong Linux fundamentals and hardening experience; scripting/automation skills in Python and/or Bash
• Solid experience with CI/CD pipelines (GitHub Actions, Jenkins, etc.) and container platforms (Docker, Kubernetes)
• Strong understanding of system architecture, REST APIs, and networking fundamentals (DNS, TCP/IP, load balancing)
• Strong knowledge of authentication and authorization mechanisms (OAuth, OIDC, SAML) and secure token/secret handling
• Hands-on experience implementing security scanning tools (SAST/DAST/SCA), including tuning and enforcing build-blocking when required
• Familiarity with security standards and best practices (OWASP Top 10, NIST, CIS)
• Exposure to AI/ML security and securing LLM integrations - major plus
• Strong English communication skills, with the ability to explain risk clearly to both technical and non-technical stakeholders
• Analytical thinker, with a proactive approach, who can prioritize effectively in a fast-paced environment

SUMMARY

We’re looking for a Data scientist Expert to join us and spread the power of Wiz. As a Data Scientist you will be responsible for driving research and development of autonomous AI agents and LLM-powered systems at Wiz. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the company’s security posture.

WHAT YOU’LL DO

• Lead applied research on AI agents and LLM-driven features in the Wiz platform - from autonomous threat investigation agents to AI-powered security operations workflows
• Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
• Collaborate with engineering teams to design, build, and maintain production pipelines
• Work closely with the Security Research and Product teams to define research goals
• Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
• Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability

WHAT YOU’LL BRING

• An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience
• 5+ years of experience in leading data science and machine learning projects, with significant hands-on work building LLM-based applications or AI agents
• Deep practical experience with LLMs - prompt engineering, fine-tuning, model selection, and understanding trade-offs across providers and model families
• Experience with distributed cloud systems - hands-on familiarity with cloud-native architectures at scale
• Strong knowledge of deep learning models and common model architecture such as transformer models
• Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch)
• Ability to work independently in a fast-paced, and come up with creative solutions to challenging problems
• Excellent communication (both written and verbal) and presentation skills
• Advantage: Knowledge of cybersecurity principles, attack vectors, and defense mechanisms

About Us

At Unframe, we build AI-powered products that address real-world challenges.
Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery.

What You'll Do

As a Full Stack Software Engineer, you’ll work across the stack to design, implement, and ship high-quality workflows that solve real problems for real users. You’ll collaborate directly with product and enterprise customers, see your code in production within days, and be part of a team that values ownership and thoughtful execution.

Responsibilities

• Develop and deliver full-stack AI-powered applications on top of Unframe’s platform.
• Work closely with customers and internal teams to tailor solutions.
• Extend the platform and UI/UX layer as needed.
• Collaborate with platform and research teams to integrate AI capabilities into production use.
• Write clean, tested, and maintainable code.

Requirements

• 4 + years of hands-on software-engineering experience.
• Proven record of shipping real user-facing products end-to-end.
• Proficiency with JavaScript, Node.js, Vue\React and PostgreSQL.
• Strong communication skills and a product mindset.
• Ownership mentality - comfortable taking a feature from idea to production.

Nice to Have

• Experience working with AI or LLM-based applications.
• Experience working with B2B or enterprise customers.

About the role:
Forter’s CX group owns the "face" of our products. In this role, your mission is twofold: you will define the innovative experience patterns and "agentic" flows that set the standard for all Forter products, while also taking full ownership of major, standalone strategic projects. You will lead the evolution of our platform into the agentic era, reimagining how users interact with AI-driven workflows to meet shifting market expectations. Bridging the gap between high-level strategy and technical execution, you will ensure every touchpoint in the ecosystem is seamless and value-driven. You’ll partner closely with Design and Engineering to raise our UX quality bar and embed practical AI into the fabric of the merchant experience.

What you will be doing:

• Lead Strategic Standalone Projects: Take full end-to-end ownership of major product initiatives. You will move from initial market discovery and strategy to technical execution and global launch.
• Define the "Forter Experience" Standards: Create and document the innovative experience patterns and "agentic" flows that define how merchants interact with our platform. You’ll ensure these patterns are modular and high-quality so other PMs can easily utilize them in their own features.
• Drive the Agentic Evolution: Identify and implement practical AI and automation opportunities that transform the merchant experience, moving from static dashboards to dynamic, intelligent workflows that solve complex problems for our users.
• Raise the UX Quality Bar: Partner deeply with Design and Engineering to champion a "UX-first" culture. You will be the final word on what a world-class merchant interface looks like at Forter.
• Bridge Strategy and Execution: Translate high-level business goals into actionable product roadmaps. You’ll manage the trade-offs between rapid AI innovation, technical feasibility, and a seamless user journey.
• Consult and Collaborate: Act as a "center of excellence" for other product teams, providing the blueprints and guidance they need to ensure their features feel like a native, consistent part of the Forter ecosystem.
• Measure and Iterate: Define the success metrics (Business, UX, and Data) for your initiatives and use a data-driven approach to constantly improve the efficiency and "delight" of our products.

Who are you?

• 4+ years in Product Management.
• Hands-on experience building with AI (e.g., agents, LLM‑powered features, workflow automation) and strong familiarity with current AI trends.
• Strong product sense and analytical skills; able to frame problems, define success metrics, and make data‑informed decisions.
• Demonstrated ability to partner deeply with Design, Engineering and GTM teams; excellent English communication skills.
• Ownership mindset: accountable, proactive, and comfortable leading complex initiatives end to end.

It’d be really cool if you also: 

• Have experience in one or more of these domains: fraud, risk, payments, identity, ecommerce, or analytics/dashboards.

• Have a background in UX systems/design systems, front‑end platforms, or UI component libraries.

• Prior work in multi‑product platforms where consistency and scale matter.

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023)
• Fortune’s Best Workplaces in NYC (2022)
• #3 on Fast Company’s list of “Most Innovative Finance Companies” (2022)
• Forbes Cloud 100 (2021, 2022)
• SAP Pinnacle Awards “New Partner Application Award” (2023) 
• Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023)

Life as a Forterian:

We are a team of over 500 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Nordstrom, Priceline, Instacart and ASOS can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@forter.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process

If you’ve ever asked ChatGPT or Perplexity a shopping question, you’ve already glimpsed the next frontier of eCommerce where Large Language Models (LLMs) shape how consumers discover and trust brands.
That’s where Yotpo Discover comes in. We’re leading Yotpo’s mission to make brands visible, cited, and trusted in this new world of AI-driven discovery.

Our team works like a startup inside Yotpo, fast, hands-on, and driven by curiosity. We experiment, build, and launch new AI-powered products that redefine how brands connect with shoppers in the age of conversational search.

As we explore this emerging domain, we’re looking for talented builders who thrive at the intersection of AI, full-stack development, and experimentation.

What you’ll do

• Design, build, and iterate on AI-driven systems and prototypes that advance how brands are represented in LLMs and AI platforms.
  
  
• Own projects end-to-end, from concept and architecture to deployment, evaluation, and iteration.
  
  
• Collaborate cross-functionally with product, data, and research to validate ideas fast and deliver meaningful outcomes.
  
  
• Explore new tools, APIs, and models to push the boundaries of what’s possible with AI and data.
  
  

What you bring

• 4+ years of software development experience with strong frontend skills (React).
  
  
• Experience with backend development (Node) is an advantage
  
  
• Hands-on experience developing with AI/LLM technologies, building prototypes, integrating APIs, or training models.
  
  
• Solid understanding of scalable system design, cloud infrastructure (AWS preferred), and data pipelines.
  
  
• Curiosity about the intersection of AI, search, and eCommerce, and the creativity to build in uncharted territory.
  
  
• Experience in startup environments or innovation teams, a strong advantage.
  
  
• A “builder” mindset, proactive, low-ego, and passionate about shipping fast.
  
  

Why join Yotpo Discover

• Be part of a small, high-impact team shaping the future of how brands are discovered in the AI era.
  
  
• Work hands-on with cutting-edge LLMs and emerging AI technologies.
  
  
• Operate with full ownership and creative freedom inside a global, data-rich company.
  
  
• Learn fast, iterate fast, and see your work make real impact across industries.
  
  

If you love building with AI, thrive in startup-style environments, and want to define how brands show up in the next generation of search, we’d love to meet you.

What is this opportunity?

We are looking for an AI Builder to join our GTM Operations team. This role sits at the intersection of operations, systems, and AI — designing, building, and scaling intelligent workflows that transform how work gets done across Eleos Health. Reporting to the VP of GTM Operations, you will partner across the organization to identify inefficiencies, translate business needs into technical solutions, and deploy AI-powered systems that drive speed, accuracy, and better decision-making. This is not a strategy role — it is a builder role, and the output is working systems in production. Location: US or IL (Israel), remote-eligible.

Who are you?

You are someone who gets energized by turning a messy, manual process into something that just runs. You think in systems — you see how tools, data, and workflows connect, and you know how to design solutions that are coherent, not cobbled together. You move fast without cutting corners that matter, and you know the difference. You are comfortable sitting with ambiguity long enough to ask the right questions, and then you build. You do not wait for perfect requirements. You ship, you learn, and you improve. You are excited about doing this work in a behavioral health company where the downstream impact of getting operations right is real.

How will you contribute?

• Map current-state processes, identify automation and optimization opportunities, and build end-to-end workflows that reduce manual work and improve consistency across GTM and operations
• Develop and deploy AI agents, copilots, and automation tools that support daily operations — integrating AI into existing systems to enhance decision-making and execution, not as a bolt-on layer but as a first-class component
• Connect tools, data sources, and workflows across the tech stack to ensure seamless data flow between systems and enable real-time insights and actions
• Create scalable frameworks for how workflows are built, maintained, and improved — establishing best practices for automation governance and performance tracking so others can operate and extend what you build
• Monitor workflow performance, iterate quickly based on user feedback and operational impact, and translate ambiguous stakeholder problems into structured, executable solutions

What qualifications and skills will help you be successful?

• Hands-on experience building production workflows using automation platforms such as Zapier, Make, n8n, Workato, or similar
• Practical experience applying AI and LLM tools to real operational workflows — including OpenAI, Anthropic, Google Gemini, or open-source models — with at least one deployed example you can speak to concretely
• Strong systems thinking and ability to connect processes, data, and tools into cohesive, integrated solutions
• Comfort working across both technical and non-technical stakeholders and translating between the two
• Demonstrated ability to move quickly from idea to prototype to production, with a bias toward simplification and measurable impact
• 2–5 years of relevant experience in workflow automation, AI operations, RevOps, or a technical GTM or systems role

Some nice-to-haves:

• Experience with APIs, data pipelines, or low-code / no-code platforms
• Exposure to CRM, support, or operational SaaS systems
• Background in operations, systems design, or process improvement

This is a unique opportunity to join a startup that has a meaningful impact on thousands' well-being and mental health.
We have

• A product that positively impacts people's lives every single day.
• A team of amazing people with a shared vision and the infinite drive to make it happen
• The base pay range for this position is $100,000-120,000 per year. The determination of what a specific employee in this job classification is paid depends on several factors, including, but not limited to, prior employment history/job-related knowledge, qualifications and skills, length of service, and geographic location.
• In addition to your compensation, we offer wide and generous health benefits, significant equity and 401(k) plans matched to 4%
• Flexible PTO + Additional mental health days off you can take any given moment simply because you need them.
• Fully remote work environment
• Opportunity to build, grow, and become highly instrumental in shaping how technology can increase the effectiveness of therapy.

At Similarweb, we build some of the most comprehensive and unique views of how the digital world actually works.

The Data for AI team is a small, specialized group within Similarweb, working closely with a select set of the world’s leading AI organizations (mostly foundational model companies). The team’s mission is to enable these companies to improve their models and AI assistants by applying Similarweb’s data to real-world AI use cases.

The work involves deep collaboration with AI teams and a strong focus on data quality, scale, and applicability to modern machine learning systems. The team operates in a lean, high-ownership environment and plays a direct role in shaping how Similarweb’s data is used in advanced AI products.

About the Role

We’re looking for a Data Analyst to join the Data for AI team. This is a hands-on, customer-facing role focused on working with leading AI companies to turn real-world data into inputs that support model development and evaluation.

You’ll collaborate closely with external AI teams and internal engineering and product partners to deliver data-driven solutions for specific AI use cases. The work is fast-paced, technical, and often open-ended, requiring comfort with large datasets, ambiguous requirements, and end-to-end ownership.

What does the day-to-day looks like:

• Own end-to-end delivery of data solutions for AI use cases, from understanding model and product requirements to analysis, implementation, quality, and automation
• Work hands-on with large, raw datasets to create high-quality data inputs that support model training, evaluation, and iteration
• Apply strong quantitative analysis and data exploration skills to assess coverage, quality, and behavior of data used in AI systems
• Build scripts, analyses, and reusable components in Python and SQL to support scalable and repeatable workflows
• Collaborate closely with Engineering to ensure solutions are reliable, scalable, and production-ready
• Partner directly with external AI teams and internal stakeholders to translate open-ended questions into concrete data outputs

This role is a good fit if you have:

• 4+ years of hands-on experience working with large-scale data using SQL and Spark or BigQuery
• Strong Python skills for data analysis, scripting, and building reusable workflows
• Experience working with raw, imperfect data and turning it into reliable, high-quality outputs
• Strong analytical and problem-solving skills, with the ability to break down open-ended or ambiguous requirements
• Ability to take end-to-end ownership of data projects, from exploration to delivery
• Some hands-on experience with LLM-based systems, such as running inference via APIs, experimenting with prompts, or participating in basic evaluation or testing workflows
• Clear communication skills in English and experience working directly with external stakeholders

Nice to have:

• Deeper hands-on experience with LLMs in production or experimentation, for example prompt engineering, batch inference, or structured evaluation using APIs such as OpenAI, Anthropic, or similar providers
• Familiarity with agent frameworks or orchestration layers (for example LangChain, LlamaIndex)
• Experience with LLM evaluation or monitoring workflows, including offline evals, prompt regression testing, or tools such as LangSmith, Weights & Biases, TruLens, or Ragas
• Experience experimenting with open-source or local models (for example via Ollama, vLLM, or Hugging Face tooling)
• Familiarity with cloud-based data infrastructure, including AWS

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. 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: Interested in becoming a VP or want to transition into a different department? 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: People want to work in a place where they can be themselves. 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 believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

At Similarweb, we're revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our cutting-edge platform and unique data empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

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

We’re looking for a Data Engineer to join our Data Labs (DL) department, which specializes in professional services for our super-premium customers. This role will report to our DL (Datalabs) Data Science Team Manager in the R&D.

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business.

As part of this role, you will create and support a complex data model pipeline that helps analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions

As a data engineer in the Datalabs team, you will work on the very core of the company. Part of your role will be to create processes that help turn raw data into usable metrics and leverage AI models and statistical algorithms to support out-of-the-box requests from customers who want custom data labs. The Datalabs department’s business-oriented nature also means you will be supporting a team of analysts and data scientists who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class data labs.

So, what will you be doing all day?

• Building and maintaining our big-data pipelines 
• Take a major part in designing and implementing complex high-scale systems using a large variety of technologies
• Be part of a team with smart and motivated engineers, and data scientists, to collaborate on the planning, development, and maintenance of our products
• Implement solutions in the AWS cloud environment, and work in Databricks with PySpark 

This is the perfect job for someone who:

• Holds a BSc degree in Computer Science or equivalent practical experience.
• You love building robust, fault-tolerant, and scalable systems and products
• You are a go-getter and a team player with a sense of ownership. 
• Has at least 3+ years of server-side software development experience in one or more general-purpose programming languages (C#, Go, Python, etc.)
• Experience building large-scale web APIs: advantage for working with Microservices architecture, AWS, and databases (Redis, PostgreSQL, Firebolt)
• Familiarity with Big Data technologies: A familiarity with Spark, Databricks, and Airflow is a big advantage.
• Worked in a cloud environment such as AWS or GCP, and is familiar with its different services.
• Familiarity with ML pipelines and applications
• Familiarity with LLM tools and frameworks

*All Similarweb offices work in a hybrid model, so you can enjoy the flexibility of working from home with the benefits of building face to face connections with fellow Similarwebbers.*

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. 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: Interested in becoming a VP or want to transition into a different department? 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: People want to work in a place where they can be themselves. 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 believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. 

Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

Why is this role so important at Similarweb?

As an AI Engineer at SimilarWeb, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.

So, what will you be doing all day?

• Design and develop LLM-based intelligent agents that can handle complex market research queries.
• Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
• Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
• Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.
• Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.
  
  

This is the perfect job for someone who:

• 5+ years of experience in software engineering, with strong proficiency in Python.
• Experience with LangGraph, LangChain, or similar frameworks for building AI agents.
• Strong understanding of LLMs, prompt engineering, and AI agent architectures.
• Familiarity with REST APIs and integrating external data sources.
  
  

Preferred Skills:

• Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, and more.
• Experience with evaluating LLM performance and quality.
• Familiarity with cloud environments, especially AWS.

**At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.**

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. 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: Interested in becoming a VP or want to transition into a different department? 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: People want to work in a place where they can be themselves. 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. Our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

Simply’s mission is to make the pursuit of creative hobbies simple and fun. Our top-grossing apps Simply Piano, Simply Guitar, Simply Sing, and Simply Draw put us on the fast track to building the world’s largest global consumer subscription service that’s revolutionizing how we spend our time at home. With over a million monthly downloads and hundreds of thousands of daily learners around the world, we’re redefining creative learning at scale.

What Senior AI Research Engineers do at Simply

Senior AI Research Engineers at Simply develop algorithmic solutions that power new innovative features and continuously improve existing ones, with a strong emphasis on training AI / ML models as a core part of the role. The work spans a wide range of domains - from training generative AI and LLM-based models to create musical content at scale for Simply Piano, through building deep learning computer vision models that enhance user drawings in Simply Draw, to developing real-time audio ML models for music transcription that elevate feedback in Simply Guitar. 

You will take full end-to-end ownership of cutting-edge algorithms and AI models - leading the process from ideation and research, through development, to production-grade implementation and engineering within Simply’s products. This includes not only designing and building AI models, but also ensuring robust, efficient, and scalable integration into the app - directly shaping the experience of millions of users.

Who you are and what you’ve done

• Master's degree in Electrical Engineering, Computer Science, Physics, or a related field
• 3+ years of experience in designing and implementing AI/ML algorithms, with a strong focus on signal processing
• Proven experience working across the full ML lifecycle - from data acquisition and model training to production implementation and ongoing product iteration.
• Moves fast, with strong engineering instincts, able to choose the right level of complexity to drive real-world impact
• A get things done attitude with a strong sense of ownership
• A team player with excellent communication and collaboration skills; able to convey complex ideas clearly to technical and non-technical partners
• Exceptional analytical and problem-solving skills
• A fast learner, willing to try things out of your comfort zone
• Experience in speech, audio, or music-related domains - Advantage

Join Cato Networks and help shape how our story is told around the world. As a Marketing Localization Manager, you’ll play a key role in bringing our brand to life across regions—balancing big-picture strategy with hands-on execution. From managing regional websites to enabling go-to-market success and driving growth initiatives, you’ll work with cutting-edge AI tools and collaborate with a team that’s constantly pushing boundaries. If this all sounds like the opportunity that you’ve been waiting for, then we’re excited to hear from you, and begin working together. 

Responsibilities:   

• Manage and lead Cato’s global localization strategy 

• Manage each step of the global localization process, from creating detailed project plans to execution, leveraging project management and translation management tools, systems and agencies  

• Own all non-English marketing collateral, working with internal marketing members to ensure SEO best processes  

• Define, track, optimize and report on all localization KPIs, ensuring maximum delivery and ROI   

• Focal point for all international vendors (translators, local ad agencies, subject-matter experts, etc.) as well as internal stakeholders, owning all budgets, and ensuring delivery timetables are met  

• Relay upcoming localized content to local and regional teams and assess needs, while adapting delivery schedules accordingly  

• Explore, assess, and select relevant technology to make the localization and linguistic tasks more efficient, time and cost-effective 

Requirements:  

• Direct experience with localization management platforms (LSPs/TMS) such as Smartling, Lokalise, Phrase, Transifex, or similar is preferred 

• Hands-on experience managing multilingual CMS environments (e.g., WordPress, Contentful, Adobe Experience Manager) 

• Familiarity with website localization workflows, including SEO localization, hreflang implementation, and regional UX considerations 

• Experience working with AI-powered translation and localization tools, including MT engines (DeepL, Google Translate) and LLM-based workflows is a plus 

• Strong internal cross-functional collaboration skills and vendor management skills  

• Excellent written and verbal communication skills 

Staff Data Engineer - Data Platform 

Capitolis | Tel Aviv | Full-time 

About the Role 

Capitolis is a leading financial technology company that optimizes capital markets through innovative technology solutions. We work with the world's largest financial institutions to improve capital efficiency and reduce risk in their operations. 

We're building an enterprise-wide data platform to unify data from across our applications and systems. We're looking for a Staff Data Engineer to architect and build our AWS + Snowflake data lakehouse, integrate diverse data sources, and enable AI agents to deliver insights to internal teams and external users. 

You'll be the technical leader establishing our data infrastructure from the ground up — building pipelines, setting engineering standards, and creating patterns the team can scale. You'll report to our head of DevOps. 

What You'll Do 

• Build the data platform: Design and implement our data lake on AWS (S3, Glue, Lake Formation) with Snowflake as the analytics layer 

• Enterprise integrations: Create robust pipelines ingesting data from finance systems, applications, and third-party sources using CDC and API integrations 

• Enable AI-driven insights: Build semantic layers and APIs that allow AI agents to query and analyze data securely 

• Optimize for scale: Implement performance tuning, cost optimization, and data quality monitoring across the platform 

• Establish best practices: Define data modeling patterns, governance frameworks, and engineering standards 

• Mentor and lead: Guide engineers on data platform architecture and implementation 

Requirements 

Must-Have: 

• 8+ years in data engineering with 5+ years building data platforms 

• Deep expertise with AWS data services: S3, Glue, Lake Formation, IAM, Step Functions/MWAA 

• Production experience with Snowflake: Snowpipe, virtual warehouses, RBAC, performance optimization 

• Strong Python and SQL skills with focus on data processing and optimization 

• Experience integrating enterprise systems (ERP, CRM, finance platforms) 

• Built real-time or near real-time data pipelines (CDC, streaming) 

Strongly Preferred: 

• LLM/agent integration with data platforms (semantic layers, API design) 

• Data governance and security implementation at scale 

• Change Data Capture tools (Glue DMS, Debezium, Fivetran) 

• Infrastructure as Code (Terraform) 

Nice to Have: 

• Kinesis or Kafka for streaming data 

• Vector databases for AI/ML applications 

• Open source contributions to data tools 

What We're Looking For 

• Builder mindset: You write code and ship infrastructure, not just design architectures 

• Pragmatic decision-making: You balance perfect solutions with delivering value quickly 

• Technical leadership: You establish patterns and mentor through hands-on work 

• Self-starter: Comfortable with ambiguity and defining the path forward 

• Strong communicator: Can translate technical concepts for diverse stakeholders 

Tech Stack 

AWS (S3, Glue, Lake Formation, Lambda, Step Functions), Snowflake, Python, Git 

Role summary:

We are looking for an AI Enablement Tech Lead to lead the development of AI-native data capabilities and drive the adoption of AI across analytics workflows.
This role is part of the Analytics & AI Enablement group within the data department and is responsible for establishing the foundational data and AI capabilities that support advanced use cases, including “chat with data,” autonomous analytics, and AI-driven decision-making.
You will act as a technical and strategic bridge between data, engineering, and AI platform teams - owning the design of AI-ready data layers, and taking a significant part in the specification and orchestration of data-ready agent solutions and analytical workflows, from ideation to production.
You are a hands-on builder and a transformation leader, with proven experience delivering AI solutions and a strong foundation in data and analytics. 

Hybrid 

Full-time

What you’ll do: 

• Define and build AI-ready data foundations, including semantic layers optimized for LLM and AI consumption  
• Design and standardize AI-native analytics workflows, combining data modeling, LLMs, and orchestration frameworks  
• Partner with Data Engineering and AI platform teams to shape infrastructure, tooling, and data interfaces for AI use  
• Drive experimentation with new AI capabilities and rapidly iterate from POC to scalable solutions  
• Establish best practices for AI usage in analytics, including prompt design, evaluation, monitoring, and governance  
• Act as a technical leader and mentor, driving AI knowledge and adoption across the analytics community  

Who you are? 

• 5+ years of experience in data roles (Analytics / BI / Data Modeling or similar)  
• Proven hands-on experience building and deploying AI solutions (GenAI, LLMs, agents, or ML systems)  
• Strong understanding of how data modeling and semantic layers support AI applications  
• Experience designing end-to-end AI workflows, including data preparation, orchestration, and production deployment  
• Familiarity with modern AI stack (LLMs, vector databases, embeddings, orchestration frameworks)  
• Experience taking AI initiatives from POC/MVP to scalable production systems  
• Strong problem-solving skills and ability to translate business needs into AI-driven solutions  
• Excellent collaboration skills, working across Data, Engineering, and AI teams  
• Comfortable operating in ambiguity and driving innovation in a fast-evolving space 
• Advantage: Experience building data solutions tailored for agent-based consumption (e.g., “chat with your data” use cases), including preparing structured, reliable, and accessible data layers for AI agents. 

#LI-Hybrid
#LI-CA1

We are looking for a Senior AI Prompt Engineer who will own the design, development, and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts, system instructions, guardrails, and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role — you will operate at the intersection of language, logic, and AI behavior, shaping how our agents reason, respond, escalate, and self-correct. As part of the Digital & AI team, you will collaborate closely with Product, Engineering, AI/ML, Analysts, CX, Operations, and Localization teams to deliver intelligent, scalable, and trustworthy conversational solutions.

What you'll do:

• Design, write, and optimize AI-driven conversational experiences, including system prompts, guardrails, tool-use instructions, and multi-turn flows across chatbot and email-automation channels.
• Engineer and maintain reusable prompt frameworks, templates, and conversation patterns that ensure consistency in tone, safety, domain accuracy, and localization across markets on multiple channels such as AI Chat, Ai email bot, AI Voice bot.
• Define and refine AI Agent behavior across user scenarios, edge cases, error states, escalation paths, and regulatory/compliance requirements.
• Own end-to-end conversational journeys — from problem discovery and use-case research through design, prompt engineering, testing, deployment, and iterative optimization.
• Build and maintain prompt evaluation pipelines — designing test cases, scoring rubrics, and regression tests to systematically measure prompt quality, hallucination rates, and task-completion accuracy.
• Monitor, analyze, and improve AI Agent performance using analytics dashboards, QA outputs, hallucination findings, user feedback, and operational metrics; translate insights into concrete prompt improvements.
• Collaborate cross-functional with Product, Engineering, AI/ML, CX, and Operations teams to identify high-impact use cases, define agent capabilities, and deliver scalable solutions.
• Contribute to internal prompt engineering guidelines, conversational design systems, and AI best practices — helping establish Payoneer’s standards for responsible, effective AI Agent deployment.
• Stay current with advancements in LLMs, agentic AI patterns, prompt optimization strategies, and conversational AI tooling; bring relevant innovations into the team’s workflow.

Who you are:

• 3–4+ years of hands-on experience working with Large Language Models (LLMs) — including prompt engineering, system prompt design, and LLM-based application development (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini).
• English proficiency — Mandatory (native or near-native written English; this role is language-critical).
• Proven experience designing, deploying, and optimizing AI-powered conversational experiences (chatbots, AI agents, email automation, Voice bot or virtual assistants).
• Coding/scripting experience (Python, JavaScript) for prototyping, automation, or prompt testing.
• Experience with AI Agent architectures and concepts — tool use, function calling, RAG, multi-step reasoning, guardrails, and escalation logic.
• Strong analytical skills — comfortable working with conversation analytics, A/B testing prompt variants, and using data to drive design decisions.
• Experience designing for multilingual and multicultural audiences.
• Ability to collaborate with developers and data teams to implement, test, and iterate on AI flows.
• Familiarity with version control practices for prompt management and documentation.
• Excellent stakeholder management — able to align multiple teams around conversational strategy and priorities.

Advantages:

• Experience with conversational AI platforms (e.g., Zowie ai, Kore.ai, Yellow.ai, Ada, Cognity).
• Knowledge of SQL or analytics/BI tools for performance analysis.
• Background in customer service, contact center, or fintech environments.
• Experience with UX writing, content design, or conversation design as a discipline.
• Familiarity with AI safety, responsible AI frameworks, and compliance considerations in regulated industries.
• Understanding customer journey mapping and service design methodologies.
• Experience with Figma or similar design tools for flow visualization.

#LI-AG2

What you'll do:

• Own the end-to-end technical health, stability, and scalability of operational systems and internal tools
• Manage and continuously optimize the Zendesk ticketing ecosystem, including workflows, integrations, and automation
• Lead the design and development of automated and self-service solutions to reduce manual effort and improve operational efficiency
• Own the resolution of complex technical issues, from investigation through root cause and permanent fix
• Plan and execute work within a two-week sprint cycle, balancing operational reliability with continuous improvement and innovation
• Design, build, and maintain system integrations and new platform capabilities supporting Operations and CX teams
• Leverage AI capabilities (including LLM-based applications and multi-agent systems) to enhance system intelligence and automate decision-making
• Identify manual, repetitive processes and transform them into scalable, AI-driven workflows
• Partner closely with Operations, Product, and Engineering stakeholders to translate business needs into technical solutions
• Ensure internal tools are reliable, observable, secure, and continuously evolving through proactive improvements and monitoring

Who you are:

• AI & Prompt Engineering: Proven experience leveraging cutting-edge AI tools and Large Language Models (LLMs) to accelerate development, automate complex tasks, and enhance solution quality. Must demonstrate an ability to craft sophisticated prompts and integrate AI outputs into functional workflows.
• Azure Platform Expertise: Hands-on experience building and managing solutions within the Azure ecosystem, specifically:
  • Function Apps (Serverless compute)
  • Automation Accounts (Process automation and configuration)
  • Logic Apps (Workflow orchestration)
  • Azure DevOps (Boards, Repos, and Pipelines)
• API Integration: Proven experience working with REST APIs to connect disparate systems and build cohesive technical ecosystems.
• Agile & Operations: Must have experience working within a formal ticketing system (ZenDesk, SF) and delivering work through structured sprints.
• Business Translation: A demonstrated ability to take high-level business requirements and architect the technical "how-to" from scratch.
• Problem Solving: Excellent analytical skills with a track record of troubleshooting complex environment issues independently.
• Ability to work independently and manage multiple tasks effectively
• Microsoft Power Platform: Experience with Power Apps or Power Automate.

Advantage:

• Data & Scripting: Advantage for candidates with strong proficiency in data manipulation and scripting (PowerShell, Bash, or SQL).
• Coding: Advantage Experience with Python coding is a significant plus.
• Familiarity with additional languages.

#LI-AG2

About Sisense

Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology.

With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating innovation in embedded analytics at scale.

The Role

We are looking for a Product Marketing Manager with exceptional writing skills and a genuine passion for crafting clear, compelling, and technically accurate content. In this role, you will translate complex AI-powered analytics capabilities into clear value propositions that resonate with developers, product teams, and technical decision-makers.

You will own the creation of high-impact content (product messaging, positioning, whitepapers, blog posts, case studies, decks, and launch materials) and help drive product adoption through thoughtful storytelling and go-to-market execution.

Key Responsibilities

• Craft clear, persuasive, and technically accurate product messaging, positioning, and storytelling for Sisense’s AI-embedded analytics platform.
• Write and own high-quality content assets, including product guides, pitch decks, launch materials, etc.
• Develop and execute go-to-market strategies for new features and product releases, with a strong focus on content and developer communication.
• Collaborate closely with Product, Engineering, Sales, and Design teams to deeply understand features and translate them into customer-facing narratives.
• Create and maintain buyer personas, competitive battlecards, and enablement materials for Sales and Customer Success.
• Support content distribution across channels (website, LinkedIn, Medium, conferences, webinars).
• Measure content performance and continuously improve based on engagement and conversion metrics.

About You

• 4–7 years of experience in Product Marketing, Technical Marketing, or Content Marketing in B2B SaaS/tech.
• Exceptional writing ability - you have a proven track record of producing clear, engaging, and technically precise content.
• Strong ability to understand complex technical concepts (especially AI, analytics, data platforms) and distill them into accessible, compelling narratives.
• Experience creating product messaging, positioning documents, and go-to-market content.
• Excellent collaboration skills - you thrive working with Product, Engineering, and Sales teams.
• Data-driven mindset with the ability to measure and optimize content performance.
• Fluent English (Hebrew is a strong advantage).
• Self-starter with high ownership and attention to detail.

Nice to Have

• Background in analytics, BI, AI/ML, or developer tools.
• Experience with embedded analytics or API-first platforms.
• Portfolio of published articles, whitepapers, or technical content.

Why Join Sisense

This is a high-visibility role where your writing and strategic thinking will directly shape how the market perceives Sisense’s AI-powered platform. You’ll work with cutting-edge technology, a talented global team, and have real impact on product adoption and growth. Competitive compensation, equity, and the opportunity to grow with one of the most innovative players in embedded analytics.

If you’re a strong writer who loves turning complex technology into compelling stories, we’d love to see your work.

What is this opportunity?

At Eleos, we build a behavioral health CareOps automation platform that transforms therapy conversations into structured insights and clinical documentation. Our system uses advanced ML and LLM technologies to improve care quality, support therapists’ daily workflows, and reduce documentation time by over 50%.

As a Senior ML Infrastructure Engineer, you will design and build the infrastructure that powers our ML and LLM systems in production. You will develop scalable pipelines, systems, and tools that enable data scientists and AI teams to efficiently develop, test, and deploy models.
Working closely with data scientists, engineers, and product teams, you will ensure our ML capabilities are reliable, scalable, and production-ready—helping bring cutting-edge AI to improve mental health care.
This is a unique opportunity to join a startup with a real impact on thousands of people’s wellbeing and mental health, applying cutting-edge AI technologies to solve meaningful human problems.

How will you contribute?

• Design and build infrastructure and backend services supporting ML and LLM systems
  
  
• Develop and maintain ML training and deployment pipelines
  
  
• Build tooling that enables model experimentation, versioning, and reproducibility
  
  
• Implement CI/CD pipelines for ML workflows and model deployment
  
  
• Support LLM deployment, prompt management, and optimization pipelines
  
  
• Improve reliability, monitoring, and observability of ML systems in production
  
  
• Collaborate with data scientists to productionize models and research prototypes
  
• Ensure secure and compliant handling of sensitive healthcare data
  
  

What qualifications and skills will help you be successful?

• 5+ years of industry experience in ML Infrastructure, Backend Engineering, or related fields
  
  
• Strong Python experience with production-grade systems
  
  
• Experience working with cloud platforms (AWS, GCP, or Azure)
  
  
• Experience with containerization technologies (Docker, Kubernetes)
  
  
• Experience building CI/CD pipelines for ML systems or backend services
  
  
• Experience supporting LLM deployment or ML models in production
  
  
• Familiarity with model versioning, experiment tracking, and ML tooling
  
  

Some nice to haves are:

• Experience with prompt engineering and prompt management
  
  
• Experience with data versioning tools (DVC, Pachyderm, etc.)
  
  
• Experience with MLOps platforms (MLflow, Kubeflow, etc.)