ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.

What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.

Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.

Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

SUMMARY:

We’re looking for a Senior Backend Engineer to join Placer.ai’s core engineering group and build the systems behind one of the world’s largest location-analytics platforms.

In this role, you’ll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If you’re motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.

RESPONSIBILITIES:

• Design, build, and evolve large-scale, distributed backend systems that power Placer.ai’s data and AI products
• Own services end-to-end — from architecture and design to production, monitoring, and continuous improvement
• Drive performance, scalability, and reliability, using data and metrics to guide decisions
• Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
• Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
• Raise the engineering bar through code reviews, design discussions, and technical mentorship

REQUIREMENTS:

• 7+ years of backend engineering experience in high-scale B2B SaaS or data-driven products
• Proven track record building and maintaining production-grade distributed systems
• Strong proficiency in one or more of: Python, Java, Go, Node.js, .NET — with a bias toward Python
• Solid engineering fundamentals: system design, data structures, APIs, testing, and observability
• Hands-on experience with data-intensive systems and complex data pipelines
• BSc in Computer Science or equivalent practical experience

AI Fluency:

• A genuine early adopter of emerging AI technologies — continuously explores new tools and paradigms, integrates them into practice ahead of the curve, and actively drives that culture within their team
• Applies AI tooling to elevate engineering quality: accelerating development cycles, improving code quality, automating repetitive work, and pushing the boundaries of what the team ships
• Raises the bar around them: inspires and challenges peers to think differently about how AI can change the way they build

OTHER REQUIREMENTS: 

• Deep experience with Python and MongoDB
• Experience with Google Cloud data technologies (BigQuery, Bigtable)
• Hands-on with Docker, Kubernetes, and Infrastructure as Code
• Exposure to AI/ML-adjacent systems: data pipelines, feature stores, model serving, or analytics platforms
• Experience integrating or building on top of LLM APIs or AI services
• Familiarity with frontend frameworks or full-stack collaboration

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits
• Hybrid

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate
• Video Playlist: Placer Brand & Explainer Videos

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

#LI-AC1 May 2026

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.

The role

Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.

Some directions we are currently working on, and which you can be a part of:

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
• Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
• Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and transformer architecture.
• Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
• Understanding of GPU memory hierarchy and compute/memory tradeoffs
• Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
•  Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
•  Strong software engineering skills (we mostly use Python)
• Deep experience with modern deep learning frameworks
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities

Nice to have:

• Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
• Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess
•  Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

The Role

Tavily team is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG). We are backed by leading investors and serve developers and enterprises worldwide. Our team is fast-moving and ambitious. We ship quickly, iterate constantly, and care deeply about impact.

As a Software Engineer - Scraping Specialist, you’ll build the systems that power how AI interacts with the live web. You’ll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.

This role blends technical understanding of browsers, networks, and automation with hands-on engineering. You’ll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.

Your work will directly shape Tavily’s ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What You’ll Do

• Build distributed data acquisition systems that capture and structure the live web
• Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
• Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
• Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
• Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
• Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
• Continuously evolve Tavily’s capabilities in resilience, speed, and authenticity of web interaction

What We’re Looking For

• 3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure
• Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus
• Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments
• Solid understanding of browser internals, network protocols, and web interaction mechanisms
• Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration
• Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions
• Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly
• Excellent documentation and communication skills to ensure smooth integration and operational visibility

Nice to Have

• Familiarity with cloud infrastructure, containerization (Docker), Kubernetes, and CI/CD
• Experience integrating AI or retrieval systems into production pipelines

The role

Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.

• Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.                                                                                
• Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning.

• Deep expertise in modern deep learning for language processing and generation

• Experience with training large models on multiple computational nodes

• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)

• Strong software engineering skills (we mostly use Python)

• Deep experience with modern deep learning frameworks (we use JAX)

• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

• Strong communication and leadership abilities

Nice to have:

• Previous experience working with language models or other similar NLP technologies.

• Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization

• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.

• Strong engineering skills, including experience in developing large distributed systems or high-load web services.

• Open-source projects that showcase your engineering prowess

• Excellent command of the English language, alongside superior writing, articulation, and communication skills.

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

This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include:

• applying reinforcement learning for agent training in long-context multi-turn scenarios
• dramatically scaling task data collection to power reinforcement learning for SWE agents
• building a decontaminated evaluation for SWE agents that is regularly updated
• investigating how test-time guided search can be used to build more powerful agents

The results often lead to collaboration with adjacent teams where our research findings are applied in practice.

We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:

• Guided search and reinforcement learning for agentic systems
• Reinforcement learning for reasoning models
• Web-scale problem collection for training agents
• Efficient model distillation

Some examples of what your responsibilities might include are:

• Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
• Exploring methods of guided generation and search in the trajectory space
• Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
• Conducting experiments with different reinforcement learning configurations in verifiable domains
• Exploring methods to train AI agents on tasks with non-verifiable reward signals

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning
• Deep expertise in modern deep learning for language processing and generation
• Substantial experience with training large models on multiple computational nodes
• Strong software engineering skills (we mostly use python)
• Deep experience with modern deep learning frameworks (we use jax)
• Strong communication and leadership abilities
• Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
• Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
• Ability to document research findings clearly and contribute to technical publications or report

Nice to have:

• Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc
• Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred
• Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment
• Experience in engineering complex systems, such as large distributed data processing systems or high-load web services
• Open-source projects that showcase your engineering prowess
• Excellent command of the English language, alongside superior writing, articulation, and communication skills
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

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

• 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

This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:

• investigating how test-time guided search can be used to build more powerful agents;
• dramatically scaling task data collection to power reinforcement learning for SWE agents;
• maximizing efficiency of LLM training on agentic trajectories.

One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include: 

• Designing and developing LLM training platform.
• Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
• Improving job scheduling strategies to minimize resource fragmentation. 

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

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

So, what's the role all about?

NiCE enables organizations to address today's consumer and employee expectations by delivering effortless, consistent, and personalized digital-first experiences with CXone, the world's leading cloud CX platform. CSA team is dedicated to developing groundbreaking AI products that are transforming the industry. We promote a culture of collaboration, learning, and the utilization of advanced technologies. We are inviting enthusiastic students or recent graduates to join our CSA team as Associate DevOps Engineers. This position offers a unique opportunity to learn and contribute to the CI/CD processes, cloud management on AWS and Azure, and AI-powered infrastructure automation.

How will you make an impact?

• Assist in the development and maintenance of CI/CD pipelines.
• Work closely with experienced DevOps engineers and other teams to learn best practices in development and operations integration.
• Support the management of cloud infrastructure on AWS and Azure under supervision.
• Help monitor system performance and participate in troubleshooting and optimization tasks.
• Assist in deploying, monitoring, and maintaining AI based services and workloads.
• Support integration of Generative AI capabilities (e.g., LLM-based services) into CI/CD pipelines and cloud environments.
• Participate in evaluating and integrating AI-related tools and services.
• Engage in continuous learning, adopting industry best practices, new technologies, and emerging AI trends.

Have you got what it takes?

• Student of Computer Science, Computer Engineering, or Software Engineering.
• At least 4 semesters left until graduation
• Knowledge of AWS services
• Good knowledge of Python
• Basic familiarity with AI concepts
• Understanding of REST APIs and experience working with external services - advantage
• Familiarity with containers (Docker) and CI/CD tools - advantage
•  Awareness of cloud-based AI services (such as AWS Bedrock, SageMaker, or Azure AI services) – advantage
• Available for 100 hours / 2.5 days a week
• Great team player with excellent interpersonal skill
• Independent, self-driven, strong self-learner, with ability to self-manage tasks and meet deadlines
• Global mindset & great communication skills in English

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:  10738
Reporting into: Group Lead, DevOps, CX
Role Type: Student

#LI-Hybrid

So, what’s the role all about?

As AI Quality Architect, you are the person who makes quality native to the agentic SDLC. You design the systems, standards, and intelligence layers that ensure every stage of an AI-accelerated pipeline — from requirement ingestion to autonomous deployment — is observable, trustworthy, and continuously improving. You don't retrofit testing onto AI workflows; you architect quality into them from the ground up.

How will you make an impact?  

Agentic Quality Architecture

• Design the end-to-end quality architecture for agentic SDLC pipelines — spanning requirement analysis, code generation, test creation, execution, triage, and release gates
• Define how quality agents are orchestrated: which decisions they own autonomously, which require human-in-the-loop checkpoints, and how confidence thresholds govern both
• Architect multi-agent quality workflows: requirement validation agents, test generation agents, failure triage agents, and regression analysis agents working in coordinated pipelines
• Establish trust and verification models for agent-produced artifacts — test code, assertions, coverage reports, and defect analyses must all be auditable and traceable
• Own the architectural patterns for quality feedback loops between agents: how a deployment agent learns from a triage agent's findings, and how that signal improves future generation

AI-Native Test Engineering Platform

• Design and own the LLM-powered test generation platform — from natural language requirement ingestion to executable, maintainable test output
• Architect the evaluation harness that continuously measures test generation quality: coverage delta, false-positive rates, assertion accuracy, and maintenance burden over time
• Build the self-healing test infrastructure layer — agents that detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
• Define the prompt engineering standards, context injection patterns, and RAG architectures that ground test generation agents in real codebase context
• Architect test artifact governance: versioning, ownership attribution (human vs. agent), rollback capability, and confidence scoring for every generated artifact

Quality Gates in Autonomous Pipelines

• Design intelligent, adaptive quality gates that operate at the speed of agentic CI/CD — gates that reason about risk, not just pass/fail thresholds
• Build risk-scoring models that dynamically adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
• Architect the observability layer for agentic pipelines: what signals indicate a pipeline agent is making poor quality decisions, and how are those signals surfaced in real time
• Define the integration patterns between quality gates and orchestration platforms (LangChain, LlamaIndex, custom agent frameworks) used across the engineering org
• Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation

AI Model & Agent Validation

• Build behavioral testing frameworks for validating AI agents and LLM-powered features in production — testing non-deterministic outputs with statistical rigor
• Design evaluation benchmarks for internal AI tooling: measuring agent task completion accuracy, hallucination rates, context retention, and decision quality over time
• Architect drift detection systems that identify when agent behavior changes between model versions, prompt updates, or context window shifts
• Define adversarial and edge-case testing methodologies for AI features: prompt injection resistance, boundary condition handling, and graceful degradation under distribution shift
• Partner with ML platform and data science teams to establish quality acceptance criteria for every model and agent promoted to production

Have you got what it takes?

• 12+ years in software engineering with strong depth across both development and quality engineering
• 4+ years as a hands-on principal architect or distinguished engineer with cross-org technical scope
• Demonstrated experience designing quality infrastructure used at scale — 50+ engineers, high-velocity pipelines, enterprise SLAs
• Direct production experience building or operating systems that incorporate LLMs or AI agents — not evaluations, but shipped systems
• Background in large-scale CI/CD architecture and the performance engineering domain
• Enterprise SaaS or platform engineering background; familiarity with regulated, high-uptime environments strongly preferred

Agentic AI & LLM Proficiency

• Deep, hands-on understanding of agentic AI patterns: tool use, multi-agent orchestration, planning loops, memory architectures, and human-in-the-loop design
• Expert-level prompt engineering including chain-of-thought, few-shot, RAG, and structured output techniques applied to code and test generation
• Experience designing evaluation harnesses for non-deterministic AI systems — statistical confidence, behavioral consistency, and regression detection
• Familiarity with agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or equivalents) and their tradeoffs in production quality pipelines

Technical Depth

• Expert in Python and TypeScript; proficient in at least one compiled language (Java, Go, C#)

• Strong CI/CD architecture skills: Jenkins, GitHub Actions, pipeline-as-code, artifact management

Leadership & Influence

• Proven ability to drive technical consensus and architectural adoption across multiple teams without direct authority
• Exceptional written communication — your ADRs, RFCs, and design docs set the standard others follow
• Effective technical mentor to senior and staff engineers; you expand the thinking of those around you
• Comfortable and credible presenting to VP and C-level stakeholders; you make complex architecture legible to executives

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10833
Reporting into: Senior Director, Engineering, CX
Role Type: Individual Contributor

#LI-Hybrid

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  

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.

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 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

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

So, what’s the role all about?

As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group. 

If you’re talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.  

In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers. 
You’ll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged—they’re expected. 

If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you. 

How will you make an impact?  

• Drive engineering excellence through AI‑augmented workflows and agentic development patterns. 
• Ensure high-quality deliverables and efficient project execution and continuous improvement.  
• Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration. 
• Demonstrate strategic thinking and a long-term vision for scalable solutions. 
• Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment. 

Have you got what it takes?

• BSc in Computer Science/Software Engineering or equivalent. 
• 7+ years in JAVA and cloud development. 
• Strong software design skills, debugging capabilities, and problem‑solving strengths. 
• Self-motivated, accountable, quick learner and team player. 
• Excellent interpersonal and communication skills. 
• Excellent written and spoken English. 
• AI & Automation experience: 
  
  • Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code - 
    using AI to accelerate development, improve code quality, and optimize system design. 
  • Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar). 
  • Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems. 
  • Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production. 

You will have an advantage if you also have:

• Experience building distributed, production-grade systems at scale, including solving complex large-scale engineering challenges (Big Advantage). 

• Hands-on development experience with AWS services.  

• Strong background in Spring / Spring Boot.  

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10801

Reporting into: Group Lead, Engineering, CX

Role Type: Individual Contributor

#LI-Hybrid

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.

So, what’s the role all about?

NiCE is looking for talented, highly motivated Senior Java Software Engineers to join our Cloud Analytics Infrastructure group. If you’re passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you. You will help design and develop large scale, AWS based systems that power the global NiCE CXone cloud platform. The applications you build are deployed across multiple regions and support hundreds of enterprise customers worldwide.

How will you make an impact?  

• Design and implement scalable microservices using AWS technologies.
• Develop high‑quality services in a Java Spring Boot environment.
• Participate in the full feature lifecycle—from design to implementation.
• Analyze requirements and create clear, comprehensive design documentation.
• Review and refine designs with peers and stakeholders.
• Collaborate closely with the team to iterate on architecture and features.
• Apply agile methodologies with AI tools to deliver reliable, high-impact capabilities efficiently.

Have you got what it takes?

• BSc in Computer Science/Software Engineering or equivalent
• Experience in one of the following:
• 5+ years in cloud development
• 5+ years in JAVA Hands‑on experience building RESTful APIs in Java.
• Strong software design skills, debugging capabilities, and problem‑solving strengths.
• Excellent written and spoken English.
• AI & Automation experience:
  • Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code -
    using AI to accelerate development, improve code quality, and optimize system design.
  • Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar).
  • Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems.
  • Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production.

You will have an advantage if you also have:

• Experience building distributed, production-grade systems at scale.
• Hands-on development experience with AWS services.
• Strong background in Spring / Spring Boot. Technical blog posts, talks, or presentations you’ve created. Contributions to open-source projects.
• Experience solving complex or large-scale engineering challenges. (Big Advantage)

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

#LI-Hybrid

Requisition ID: 10772

Reporting into: Group Lead, Engineering, CX

Role Type: Individual Contributor

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

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

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.

You are:

We are looking for a product builder with strong execution instincts and a deep understanding of developers who is located in the East Coast USA (Fully Remote).

You care about shipping fast, learning from real users, and improving the product continuously, not just writing specs. You think like a founder, comfortable getting technical and thrive in open feedback loops with our community of builders. You partner tightly with engineering and design, contribute clarity and conviction to decision-making, and are energized by working on products that are deeply technical and meaningful to the future of AI.

Responsibilities:

• Own and ship high-impact features within the Opik product, end to end from definition to launch
• Bring clarity to ambiguous problems and make fast, pragmatic product decisions
• Engage directly with developers and early users to gather feedback and rapidly iterate
• Work closely with engineering and design to drive execution with urgency and clarity
• Monitor adoption and performance of shipped features and use learnings to improve quickly
• Share updates and priorities with the open-source community and internal stakeholders

Requirements:

• 2+ years of Product Management experience, delivering highly successful and innovative products that you're deeply proud of
• Must Have - Prior experience as a software engineer
• Experience building AI Agents 
• Experience shipping high-quality products from planning to launch to maintenance
• Ability to collaborate with engineers on technical architecture and product implementation

Bonus:

• Experience as a PM in the developer tooling space

What We Offer:

• Competitive base salary - $170-250K, based on proven experience, skills and location.
• Competitive benefits package.
• Flexible working hours and remote/Hybrid work options.
• Opportunities for professional growth and development.
• A collaborative and innovative work environment.
• The chance to work with cutting-edge technologies and projects.
• This role will be located in the East Coast USA working remotely with a global team (large presence also in the Europe and Israel) - some flexibility with work hours is required.

You are:

We are looking for a product builder with strong execution instincts and a deep understanding of developers who is located in Israel (Hybrid) or Europe (Fully remote).

You care about shipping fast, learning from real users, and improving the product continuously, not just writing specs. You think like a founder, comfortable getting technical and thrive in open feedback loops with our community of builders. You partner tightly with engineering and design, contribute clarity and conviction to decision-making, and are energized by working on products that are deeply technical and meaningful to the future of AI.

Responsibilities:

• Own and ship high-impact features within the Opik product, end to end from definition to launch
• Bring clarity to ambiguous problems and make fast, pragmatic product decisions
• Engage directly with developers and early users to gather feedback and rapidly iterate
• Work closely with engineering and design to drive execution with urgency and clarity
• Monitor adoption and performance of shipped features and use learnings to improve quickly
• Share updates and priorities with the open-source community and internal stakeholders

Requirements:

• 2+ years of Product Management experience, delivering highly successful and innovative products that you're deeply proud of
• Must Have - Prior experience as a software engineer
• Experience building AI Agents 
• Experience shipping high-quality products from planning to launch to maintenance
• Ability to collaborate with engineers on technical architecture and product implementation

Bonus:

• Experience as a PM in the developer tooling space

What We Offer:

• Competitive base salary based on proven experience, skills and location.
• Competitive benefits package.
• Flexible working hours and remote/Hybrid work options.
• Opportunities for professional growth and development.
• A collaborative and innovative work environment.
• The chance to work with cutting-edge technologies and projects.
• This role will be located in Israel (Hybrid) or Europe (Fully remote) working with a global team (large presence also in the USA) - some flexibility with work hours is required.

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 QuantHealth

QuantHealth is a growing AI startup in the clinical trial space, leveraging AI, biomedical data, knowledge graphs, and real-world patient data to simulate and optimize clinical trials for pharmaceutical companies. Our platform combines large-scale biomedical knowledge, clinical trial data, and patient-level data to help customers simulate clinical trials, reduce development risk and cost, shorten timelines, and improve the probability of clinical trial success.

About the Role

As a Data Scientist in the CDS R&D team, you will play a key role in researching, developing, and productionizing advanced data science solutions that power QuantHealth’s clinical simulation and prediction capabilities.

This role is designed for a strong applied data scientist who enjoys solving complex, ambiguous problems end-to-end: from data exploration and feature engineering, through model development and validation, to building scalable pipelines and AI-driven workflows. You will work closely with clinical experts, product, delivery, engineering, and other data science teams to translate challenging clinical and biomedical questions into robust data-driven solutions.

The ideal candidate brings several years of hands-on experience in applied data science, machine learning, and data pipeline development. Additional qualities we look at in candidates are scientific thinking, project ownership, and the ability to independently learn and operate in complex domains. Experience with biomedical or clinical data is a strong advantage.

This position involves working with a modern Python-based data science stack, building predictive models, developing data and ML pipelines, and contributing to the continuous improvement of QuantHealth’s clinical trial simulation product. The role requires curiosity, strong self-learning abilities, research orientation, and rigorous analytical thinking.

Responsibilities

• Design, develop, and validate data science models, algorithms, and tools that support QuantHealth’s internal and customer-facing clinical simulation products.
• Build end-to-end data science solutions, including data ingestion, feature engineering, model development, evaluation, and deployment-ready pipelines.
• Collaborate with clinical, product, delivery, engineering, and data science teams to prototype and implement data-driven solutions.
• Explore, process, and integrate diverse data sources, including clinical trial data, EHR/RWD, biomedical literature, biomedical ontologies, and knowledge graphs.
• Develop scalable ETL and data pipelines to support automated clinical simulation workflows.
• Build LLM-based and agentic systems to automate internal research, data processing, and biomedical reasoning workflows.
• Develop and improve data projects using tools such as PySpark, PyTorch, PyGeometric, MLflow, SQL, and the broader Python data stack.
• Stay current with emerging methodologies in machine learning, LLMs, knowledge graphs, biomedical AI, and applied data science.
• Contribute to internal knowledge sharing, best practices, and scientific discussions within the R&D organization.

Qualifications

• MSc or PhD in data science, computer science, computational biology, or a related quantitative field.
• 4+ years of hands-on experience in applied data science, machine learning, or algorithm development.
• Strong Python skills and practical experience with common data science and ML libraries such as pandas, NumPy, scikit-learn, PyTorch, SQL, and Spark.
• Proven experience building end-to-end data science solutions, from raw data processing to model development, evaluation, and implementation.
• Experience working with large, messy, real-world datasets and transforming them into reliable analytical or machine learning pipelines.
• Strong understanding of machine learning concepts, model evaluation, statistical analysis, and experimental design.
• Experience with cloud-based computing environments and scalable data processing pipelines.
• Strong analytical and problem-solving skills, with attention to details and scientific rigor.
• Strong research mindset and ability to independently learn new domains, methods, and technologies.
• Excellent communication skills and ability to collaborate effectively across clinical, product, engineering, and data science teams.

Strong Advantages

• Experience working with biomedical, healthcare (RWD/EHR), pharmaceutical, biomedical ontologies, or real-world patient data.
• Experience developing LLM-based workflows or agentic pipelines.
• Experience with knowledge graphs, graph embeddings, GNNs, or graph-based ML.
• Experience with PySpark, PyTorch, PyGeometric, MLflow, or similar ML engineering tools.
• Experience creating interactive data applications, dashboards, or internal tools.
• Familiarity with clinical trial design, drug development, computational/system biology, or translational medicine.

About QuantHealth

QuantHealth is a growing AI startup in the clinical trial space, leveraging AI, biomedical data, knowledge graphs, and real-world patient data to simulate and optimize clinical trials for pharmaceutical companies.

Our platform helps customers simulate clinical trials, reduce development risk and cost, shorten timelines, and improve the probability of clinical trial success.

About the Role

We are looking for a Senior Data Scientist to lead the development of QuantHealth’s internal platform for streamlining, automating, and standardizing key customer delivery workflows.

This is a hybrid role at the intersection of data science, software engineering, ML systems, and internal product development. The ideal candidate is a strong builder who can take ownership of complex workflows, understand complex real-world data and modeling processes, and turn them into reliable, reusable, scalable systems.

The internal platform will serve as a central layer for improving how customer delivery work is planned, executed, automated, and reused across projects. It will bring together key workflows, automatic agentic systems, data assets, computational processes, reusable components, and quality-control mechanisms into a more integrated and scalable operating model. The goal is to reduce manual effort, improve consistency, shorten delivery timelines, increase transparency, and create reusable institutional knowledge across projects. This role requires someone who is comfortable moving between data science, architecture, software development, data pipelines, AI-driven automation, and internal applications. It also requires collaboration with delivery, clinical, engineering, and data science teams. It is a senior individual contributor role with high ownership and broad impact.

Responsibilities

• Lead the design and development of a set of internal tools that streamline, automate, and scale the company's delivery workflows and model development lifecycle.
• Build data-science-driven systems that combine data pipelines, AI-driven automation, analytical workflows, and internal applications.
• Develop LLM-based and agentic workflows to automate complex operational and analytical processes.
• Implement validation, monitoring, and quality control mechanisms to improve reliability, reproducibility, and trust in delivery outputs.
• Design solutions that support versioning, traceability, access control, and reuse of data and analytical assets.
• Collaborate closely with delivery, clinical, data science, product, and engineering teams to translate operational challenges into scalable technical solutions.
• Own key technical design decisions and contribute to the long-term direction of the internal delivery platform.
• Improve the reliability and maintainability of existing internal tools, workflows, and automation processes.
• Create clear documentation, standards, and best practices for using and extending the system.
• Act as a senior technical contributor, providing guidance and mentorship to junior team members on data science workflows, automation design, code quality, and systems-building best practices.
  
  

Qualifications

• MSc or PhD in computer science, data science, computational biology, or a related quantitative/technical field.
• 6+ years of hands-on experience in applied data science, machine learning, data engineering, or a hybrid data science / systems-building role.
• Strong experience developing complex data science solutions, including data pipelines, automation workflows, model evaluation, and production-oriented implementation.
• Strong Python skills, with the ability to write clean, modular, reliable code for data science and automation workflows.
• Experience working with large, complex, real-world datasets and turning them into reliable data products, pipelines, or analytical workflows.
• Experience integrating data, models, APIs, or internal tools into practical end-to-end solutions.
• Experience with cloud environments, containerization, CI/CD, and production deployment workflows.
• Experience building user-facing automation tools or internal applications that collect user input, guide workflows, and translate user needs into reliable automated processes.
• Strong understanding of machine learning concepts, model evaluation, analytical validation, and experimental design.
• Ability to work with ambiguous requirements, break down complex operational and analytical workflows, and translate them into practical technical solutions.
• Strong product sense for internal tools: ability to understand users, simplify workflows, and build solutions that people actually use.
• Strong analytical and problem-solving skills, with attention to detail, reliability, and reproducibility.
• Excellent communication skills and ability to collaborate across data science, engineering, clinical, product, and delivery teams.
  
  

Strong Advantages

• Experience leading the development of internal platforms, workflow automation systems, data products, or operational tools for technical teams.
• Experience building LLM-based and agentic applications, retrieval systems, or automated reasoning workflows.
• Experience with access control, identity management, audit logs, data lineage, or regulated-data environments.
• Experience working with healthcare, clinical, biomedical, pharma, or real-world patient data.
• Experience working in a startup environment where ownership, speed, and pragmatic engineering are critical

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

What is The Role

Elastic is building Agent Builder, a conversational platform that connects production agents to real customer business data in Elasticsearch. As a Principal Engineer, you will set technical direction and drive the Kibana backend architecture for the agentic platform: streaming APIs, secure tool execution, session and memory persistence, retrieval and citations contracts, and evaluation telemetry. Your influence will extend beyond a single feature, shaping service boundaries, reliability posture, and standards that other solutions build on.

What You Will Be Doing

• Own the architecture for chat back-end services (Node/TypeScript), defining service boundaries, data contracts, and scalability targets
• Lead cross-team design reviews; author ADRs and RFCs that become reference standards for AI-chat and ingestion work.
• Build and harden event-driven pipelines that capture chat telemetry, evaluation traces, and LLM feedback loops; expose them via self-service analytics endpoints.
• Champion reliability—define error budgets, introduce testing strategy, and steer incident-response playbooks for conversational workloads.
• Mentor senior and Junior engineers; grow their system-design skills and foster a high-trust, low-ego culture.
• Partner with Product, Design, and Data Science to translate ambiguous goals (e.g., “multi-step reasoning with tool calling”) into incremental, testable action items.
• Represent Elastic in open-source AI communities (LangGraph/LangChain, MCP/A2A) through design proposals, blog posts, and conference talks.

What You Bring

• We appreciate articulate and “low ego” people who want to grow as part of a team.
• 10 + years building distributed, production SaaS services—at least 5 years leading large-scale Node/TypeScript or similar back-end stacks.
• Deep expertise in distributed systems fundamentals—shard routing, consensus, eventual consistency, back-pressure, and circuit-breaker patterns.
• Demonstrated success designing high-throughput, low-latency APIs (gRPC / REST / WebSocket)—including streaming responses and resumable sessions.
• Hands-on experience with observability: OpenTelemetry, log/metric pipelines, synthetic checks, and SLO dashboards.
• Exposure to LLM tooling (LangChain/LangGraph, OpenAI function calls, vector-search, RAG orchestration) and enthusiasm for advancing GenAI architectures.
• Clear, persuasive written communication—your ADRs and RFCs set the standard others emulate.
• Nice-to-have: contribution history to Kibana or other large SPAs; ability to prototype front-end dashboards when it unblocks back-end work.

If this sounds interesting, we would love to hear from you! Please include whatever info you believe is relevant: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc.

What is The Role

Elastic is building Agent Builder, a conversational platform that connects production agents to real customer business data in Elasticsearch. As a Principal Engineer, you will set technical direction and drive the Kibana backend architecture for the agentic platform: streaming APIs, secure tool execution, session and memory persistence, retrieval and citations contracts, and evaluation telemetry. Your influence will extend beyond a single feature, shaping service boundaries, reliability posture, and standards that other solutions build on.

What You Will Be Doing

• Own the architecture for chat back-end services (Node/TypeScript), defining service boundaries, data contracts, and scalability targets
• Lead cross-team design reviews; author ADRs and RFCs that become reference standards for AI-chat and ingestion work.
• Build and harden event-driven pipelines that capture chat telemetry, evaluation traces, and LLM feedback loops; expose them via self-service analytics endpoints.
• Champion reliability—define error budgets, introduce testing strategy, and steer incident-response playbooks for conversational workloads.
• Mentor senior and Junior engineers; grow their system-design skills and foster a high-trust, low-ego culture.
• Partner with Product, Design, and Data Science to translate ambiguous goals (e.g., “multi-step reasoning with tool calling”) into incremental, testable action items.
• Represent Elastic in open-source AI communities (LangGraph/LangChain, MCP/A2A) through design proposals, blog posts, and conference talks.

What You Bring

• We appreciate articulate and “low ego” people who want to grow as part of a team.
• 10 + years building distributed, production SaaS services—at least 5 years leading large-scale Node/TypeScript or similar back-end stacks.
• Deep expertise in distributed systems fundamentals—shard routing, consensus, eventual consistency, back-pressure, and circuit-breaker patterns.
• Demonstrated success designing high-throughput, low-latency APIs (gRPC / REST / WebSocket)—including streaming responses and resumable sessions.
• Hands-on experience with observability: OpenTelemetry, log/metric pipelines, synthetic checks, and SLO dashboards.
• Exposure to LLM tooling (LangChain/LangGraph, OpenAI function calls, vector-search, RAG orchestration) and enthusiasm for advancing GenAI architectures.
• Clear, persuasive written communication—your ADRs and RFCs set the standard others emulate.
• Nice-to-have: contribution history to Kibana or other large SPAs; ability to prototype front-end dashboards when it unblocks back-end work.

If this sounds interesting, we would love to hear from you! Please include whatever info you believe is relevant: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc.

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.

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