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

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

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.

Role Overview

Nebius is seeking a Detection & Response Manager to lead and mature our security operations and adversary defense capabilities.

This role owns SOC operations, incident response, red teaming, and security automation (SIEM & SOAR) across cloud, data center, and enterprise environments.

The ideal candidate combines operational excellence, threat-adversary thinking, and automation-first execution.

Key Responsibilities

Security Operations Center (SOC) Leadership

• Own day-to-day SOC operations across cloud, data center, and corporate environments

• Define detection strategy aligned to Nebius threat models and crown jewels

• Ensure high-quality alerting, triage, escalation, and reporting

• Continuously reduce false positives and alert fatigue

Incident Response & Crisis Management

• Lead end-to-end incident response for high-severity security incidents

• Own incident command during crises (technical, executive, and regulatory coordination)

• Ensure post-incident reviews lead to real control improvements

• Maintain and regularly test incident response playbooks

Red Team & Adversarial Testing

• Manage red team and purple team activities (internal and external)

• Translate real-world adversary TTPs into detection and response improvements

• Ensure findings from red team exercises are remediated and verified

• Partner with product, cloud, and physical security teams on attack simulations

SOC Automation (SIEM & SOAR)

• Own SIEM and SOAR strategy, architecture, and roadmap

• Drive automation of detection, enrichment, response, and reporting

• Integrate identity, cloud, CI/CD, and physical security telemetry

• Measure SOC effectiveness using MTTD, MTTR, and coverage metrics

Threat Intelligence & Continuous Improvement

• Operationalize threat intelligence into detections and playbooks

• Track emerging threats relevant to cloud, AI, and infrastructure providers

• Continuously improve detection coverage against prioritized attack paths

What Success Looks Like (12 Months)

• Measurable reduction in MTTD and MTTR for high-severity incidents

• Majority of high-risk incidents detected internally, not externally

• Red team findings consistently detected and contained

• SOC automation meaningfully reduces manual effort

• Clear, trusted security reporting to CISO and leadership

Required Qualifications

• 7+ years in security operations, incident response, or threat detection

• Proven experience leading a SOC or incident response function

• Strong experience with SIEM and SOAR platforms

• Deep understanding of:

• Cloud security 

• Identity-based attacks and detection

• Endpoint, network, and application telemetry

• Experience running or managing red team / purple team activities

• Calm, decisive leadership under pressure

Preferred Qualifications

• Experience in cloud service providers, hyperscale, or infrastructure companies

• Familiarity with GPU / HPC environments or large-scale data centers

• Experience with DORA, SOC 2, ISO 27001 incident requirements

• Background in threat hunting or offensive security

Key Skills & Attributes

• Adversary-minded: thinks like an attacker, not a tool operator

• Automation-first mindset

• Strong communicator during crises

• Data-driven decision making

• High ownership, low ego

Why Nebius

• Defend one of the most advanced AI and GPU cloud platforms

• Influence security architecture at scale

• Operate at the intersection of cloud, physical infrastructure, and regulation

• Build a modern, high-impact detection & response function

#LI-VA1 #LI-Office

As our B2B division continues to expand, we are looking for an SMB Account Manager to join us and focus on Wolt Benefits - a fast-growing solution operating alongside our existing Wolt for Work service.

Wolt Benefits is currently in a strong growth phase and gaining significant traction in the market. It enables companies to provide structured and flexible meal budgets for their employees, allowing teams to order on Wolt while giving employers full control over budgets, policies, and reporting. The solution is designed to modernize employee meal programs, simplify administration, and enhance the overall employee experience.

What you’ll be doing

As an SMB Account Manager, you’ll be joining the growing Wolt Benefits team. As part of this team, you’ll play a crucial role in scaling a solution that is redefining how we serve our SMB & corporate partners.

This role focuses on managing a portfolio of SMB clients, from onboarding to long-term support, while driving excellent service and business growth.

Day-to-day in this role you’ll:

• Manage a portfolio of SMB clients - building strong relationships at senior levels and ensuring mutual success.
• Lead and manage company launches end-to-end – including planning and executing launch events, delivering employee and manager training sessions, and providing close guidance throughout the implementation process.
• Own the full client lifecycle - from identifying opportunities and pitching solutions, to providing long-term strategic support.
• Collaborate cross-functionally with Product, Marketing, Support, and Operations to tailor solutions to client needs and ensure delivery excellence.
• Analyze account performance and market trends to identify areas for optimization and growth.
• Represent Wolt at industry events and client meetings, positioning us as a partner of choice in the B2B space.
• Drive initiatives to improve client satisfaction, retention, and revenue growth – working closely with our internal Support and Operations teams to ensure a smooth, high-quality client experience at every touchpoint.

Our humble expectations

• Background in account management, business development, or partnerships with B2B partners – 2-4 years
• Demonstrates strong commercial acumen and an understanding of business dynamics, especially in B2B or partnership settings.
• Brings strong relationship-building skills, with the ability to influence senior stakeholders internally and externally.
• Is data-driven and skilled at transforming insights into actionable business decisions.
• Is an independent self-starter, able to prioritize, make decisions, and drive initiatives with ownership and accountability.
• Thrives in a dynamic, fast-paced environment, and enjoys building things from the ground up.
• Is fluent in both Hebrew and English (spoken and written).

What we offer

At Wolt, we’re all about ownership, impact, and kindness. You’ll work with a collaborative and motivated team that values getting things done while treating each other well. This role offers a unique opportunity to grow a B2B service within a successful tech company, work with great local and international colleagues, and directly influence client success. 

Next steps

If this sounds like a role for you, we’d love to hear from you! Once you apply, our Talent Acquisition Partner will review your application. If there's a match, you'll be invited to a short intro call, followed by interviews with the hiring team. 

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 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?

The R&D Business Operations team is responsible for collecting, analyzing, and managing R&D data, change requests, and various cross-unit projects and initiatives. As a BI Data Engineer, you will be the backbone of our data infrastructure owing end-to-end data pipelines that power the analytics and dashboards used across the R&D group, connecting a wide range of data sources into a coherent, scalable platform. You will accompany the full data journey, from ingestion and transformation through to the creation of datasets and, where needed, venture into the reporting and dashboard layer to deliver complete, business-ready data products.

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently. We also value genuine intellectual curiosity — someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value

How will you make an impact?  

•    Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
•    Own and manage the cloud data warehouse — schema design, performance tuning, and access control
•    Manage data ingestion workflows connecting diverse data sources to the central data platform
•    Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
•    Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
•    Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
•    Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
•    Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

Have you got what it takes?

•    At least 5 years of hands-on, production data engineering experience
•    Proven expertise with a cloud data warehouse (Snowflake)
•    Hands-on experience with a data ingestion tool (e.g., Fivetran or equivalent)
•    Hands-on experience with a data transformation framework (e.g., dbt or equivalent)
•    Strong SQL skills: advanced querying, optimization, and data modeling
•    Strong hands-on experience working with external APIs, including authentication, rate limits, pagination, and error handling
•    Ability to design, build, and maintain custom API-based data ingestion pipelines in Python
•    Hands-on experience with Python for data engineering tasks
•    Practical experience operating workflow orchestration tools such as Airflow
•    Ownership and administration of cloud data environments such as AWS or Azure, including account-level responsibility for data workloads
•    A strong sense of accountability — comfortable being the go-to person for your data domains and available to respond when issues arise outside of regular hours
•    Genuine curiosity about developments in the AI and data space — someone who actively follows trends, is eager to experiment, and brings new ideas to the table

You will have an advantage if you also have:

•    Familiarity with BI and reporting tools
•    Experience with R&D tooling ecosystems
•    Exposure to data governance or data observability practices
•    Fluent English — written and spoken

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: 10660

Reporting into: Director, R&D Operations, CX

Role Type: Individual Contributor

So, what’s the role all about?

The R&D Business Operations team is responsible for collecting, analyzing, and managing R&D data, change requests, and various cross-unit projects and initiatives. As a BI Data Engineer, you will be the backbone of our data infrastructure owing end-to-end data pipelines that power the analytics and dashboards used across the R&D group, connecting a wide range of data sources into a coherent, scalable platform. You will accompany the full data journey, from ingestion and transformation through to the creation of datasets and, where needed, venture into the reporting and dashboard layer to deliver complete, business-ready data products.

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently. We also value genuine intellectual curiosity — someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value

How will you make an impact?  

•    Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
•    Own and manage the cloud data warehouse — schema design, performance tuning, and access control
•    Manage data ingestion workflows connecting diverse data sources to the central data platform
•    Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
•    Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
•    Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
•    Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
•    Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

Have you got what it takes?

•    At least 5 years of hands-on, production data engineering experience
•    Proven expertise with a cloud data warehouse (Snowflake)
•    Hands-on experience with a data ingestion tool (e.g., Fivetran or equivalent)
•    Hands-on experience with a data transformation framework (e.g., dbt or equivalent)
•    Strong SQL skills: advanced querying, optimization, and data modeling
•    Strong hands-on experience working with external APIs, including authentication, rate limits, pagination, and error handling
•    Ability to design, build, and maintain custom API-based data ingestion pipelines in Python
•    Hands-on experience with Python for data engineering tasks
•    Practical experience operating workflow orchestration tools such as Airflow
•    Ownership and administration of cloud data environments such as AWS or Azure, including account-level responsibility for data workloads
•    A strong sense of accountability — comfortable being the go-to person for your data domains and available to respond when issues arise outside of regular hours
•    Genuine curiosity about developments in the AI and data space — someone who actively follows trends, is eager to experiment, and brings new ideas to the table

You will have an advantage if you also have:

•    Familiarity with BI and reporting tools
•    Experience with R&D tooling ecosystems
•    Exposure to data governance or data observability practices
•    Fluent English — written and spoken

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: 10660

Reporting into: Director, R&D Operations, CX

Role Type: Individual Contributor

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

An overview of this role

You'll join GitLab's Software Supply Chain Security stage as the Staff Engineer, Secrets Management, providing technical leadership for GitLab's strategic investment in integrated secrets management. You'll set the technical direction for GitLab Secrets Manager, our OpenBao-powered solution that helps customers securely store, distribute, and manage the lifecycle of secrets used across CI/CD pipelines. This role sits at the intersection of the GitLab platform and the OpenBao open source project: you'll drive architecture decisions for multi-tenant secrets management at scale, guide integration into GitLab, and contribute upstream so we can deliver capabilities customers can trust.

In your first year, your success will look like a clear, scalable architecture for GitLab Secrets Manager, reliable performance that meets GitLab.com needs in partnership with Infrastructure teams, and strong cross-team alignment across Pipeline Security, Authentication, and Platform. You'll also represent GitLab in OpenBao's governance and technical discussions, helping ensure our product direction and upstream contributions reinforce each other.

How we interview

Our process includes technical interviews and stakeholder conversations focused on how you partner across functions and drive alignment.

You should expect questions about how you collaborate with cross-functional partners and communicate tradeoffs in ambiguous, high-impact work.

What you'll do

• Lead the technical strategy for GitLab Secrets Manager, setting architecture direction for secure, multi-tenant secrets management at scale.
• Own the integration between GitLab and OpenBao, including namespaces, authentication mechanisms, and policy management.
• Collaborate with Pipeline Security, Authentication, and Platform teams to propose, review, and deliver cross-team secrets management improvements.
• Partner with GitLab.com Infrastructure teams to ensure secrets management meets reliability, performance, and operational requirements.
• Represent GitLab in the OpenBao open source project by contributing features upstream, participating in technical steering discussions, and maintaining strong technical credibility.
• Mentor and advise engineers on secrets management, cryptographic systems, and secure architecture patterns, raising the quality and consistency of designs and implementations.
• Interface with engineering managers and senior leadership to scope initiatives, clarify tradeoffs, and unblock delivery across teams.
• Engage with customers and external stakeholders to understand real-world needs and communicate GitLab's secrets management capabilities and roadmap direction.

What you'll bring

• Experience designing and operating secrets management systems (for example, HashiCorp Vault, OpenBao, or cloud-native offerings), including secure storage, access control, and audit logging.
• Ability to lead architecture decisions for resilient, multi-tenant services that handle secrets operations at scale, including high availability and cluster management patterns.
• Working knowledge of cryptographic and key management concepts, such as encryption in transit and at rest, key derivation, and hardware security module (HSM) or PKCS#11 integrations.
• Experience implementing authentication and authorization integrations, such as JSON Web Token (JWT) or OpenID Connect (OIDC), mutual Transport Layer Security (mTLS), and certificate-based authentication.
• Proficiency building product integrations in Go (within the OpenBao or Vault ecosystem) and Ruby on Rails for GitLab platform integration.
• Experience contributing to open source projects and working effectively with distributed governance, balancing upstream needs with product requirements.
• Demonstrated ability to operate with high autonomy, drive strategy, and serve as a trusted partner to senior leaders (including constructively challenging assumptions and tradeoffs).
• Strong communication and collaboration skills to influence across teams and levels, including mentoring engineers and working in a fully remote, asynchronous environment.

About the team

The Secrets Management team sits within the Pipeline Security group in GitLab's Software Supply Chain Security stage. We own GitLab Secrets Manager, an OpenBao-powered capability that helps teams securely store, distribute, and manage the lifecycle of secrets used across continuous integration and continuous delivery (CI/CD) pipelines. The team works closely with Authentication, Authorization, Compliance, and Platform counterparts to deliver secure defaults, reliable operations for GitLab.com, and product-grade integration between GitLab and OpenBao (including namespaces, authentication, and policy management). Our core challenge is building multi-tenant secrets management at scale while balancing upstream open source collaboration with the needs of GitLab customers.

An overview of this role

As a Senior Backend Engineer on the Pipeline Security team, you'll take technical ownership of GitLab's native Secrets Manager, a production system built on OpenBao that helps secure sensitive credentials across GitLab CI/CD pipelines. You'll work at the intersection of backend engineering and infrastructure, shaping architecture in Ruby on Rails and Go, guiding decisions around role-based access control (RBAC), GraphQL APIs, and Kubernetes deployment configuration. In your first year, you'll help move Secrets Manager toward general availability, establish technical patterns the team can build on, and represent the team's point of view in cross-functional discussions. You'll have end-to-end ownership, from design through production operations, with room to identify what should be built next and improve how the team delivers secure, reliable features.

What you'll do

• Build and maintain secure, readable backend code primarily in Ruby on Rails, with some development in Go for targeted components.
• Design backend architecture for complex security features, including secrets access control, pipeline security enforcement, and OpenBao integration.
• Lead the development of role-based access control models, GraphQL APIs, and supporting application patterns for features owned by the team.
• Own features end to end, from technical design and implementation through deployment, validation, and production support.
• Collaborate with Product, security partners, and other engineering teams to document tradeoffs, align on direction, and deliver iteratively in a distributed environment.
• Improve code quality, maintainability, security, and performance through code review, design iteration, and internal standards for a high-scale web environment.
• Build and maintain Helm charts, including configuration, tuning, documentation, and automated testing for Kubernetes-based deployments.
• Validate features in Kubernetes environments, including GitLab Cloud Native and Cloud Native Hybrid deployments, using GitLab testing and performance testing frameworks.

What you'll bring

• Experience building and maintaining backend features with a focus on secure design, data handling, and production reliability.
• Ability to write production-quality code in Ruby on Rails, including use of framework security patterns and review for common application risks.
• Working knowledge of CI/CD concepts and the ways pipelines can be misconfigured, abused, or expose sensitive data.
• Familiarity with secrets management approaches and security practices for handling credentials in CI environments; experience with tools such as HashiCorp Vault or similar systems is helpful.
• Comfort collaborating across Product and engineering teams in an asynchronous, distributed environment and communicating technical tradeoffs clearly in writing.
• Ability to review merge requests with a security-first mindset and improve solutions through feedback and iteration.
• Experience debugging production issues, including investigation of security-related behavior and proposing practical fixes.
• Openness to learning adjacent domains and tools, including Go, container security, and software supply chain security; we welcome transferable experience from different technical backgrounds.

About the team

The Pipeline Security team builds features that make GitLab CI pipelines more secure and trustworthy for teams running sensitive workloads. We own key parts of pipeline security within GitLab's CI/CD experience, with our current focus on native secrets management for CI pipelines and Supply-chain Levels for Software Artifacts (SLSA) Level 3 capabilities to strengthen software supply chain security. We work asynchronously across regions and collaborate closely with Product and security partners, using clear design discussions, documented decisions, and iterative delivery across Ruby on Rails and Go.

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

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

What you'll do:

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

Who you are:

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

Advantages:

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

#LI-AG2

Israel
Hybrid
Full-time

We are looking for a versatile, autodidact Senior DevOps Engineer - someone who learns fast, thinks laterally, and isn't afraid to pivot mid-stream when the mission changes.
You are independent and accountable, but you thrive in a collaborative ecosystem. If you’re a service-oriented problem solver who views "infrastructure as code" as a craft, we want to talk.

What You'll do:

As a core member of our infrastructure team, you will bridge the gap between development and operations, ensuring our hybrid-cloud environment is seamless, scalable, and resilient.

• Architect & Implement: Lead the design of hybrid-cloud solutions with a heavy focus on cloud best practices.

• Own the Production: Take full accountability for production environments, ensuring 24/7 stability, availability, and performance.

• Automate Everything: Replace manual toil with elegant automation using Terraform, Crossplane, and Ansible.

• Bridge the Hybrid Gap: Maintain and optimize application layers across both cloud and private cloud environments.

• Cross-Functional Partnership: Collaborate with Product, QA, and Dev teams to streamline CI/CD pipelines and remove delivery bottlenecks.

• Resilience: Participate in a rotating On-Call schedule to keep our high-volume systems humming.

Who you are:

• The Experience: 7+ years in DevOps, SRE, or Platform Engineering, with at least 5 years specifically managing high-scale cloud production workloads (AWS / GCP).

• Orchestration: Deep expertise in Kubernetes and OCI container ecosystems.

• IaaC Mastery: Advanced scripting and deployment skills in Terraform (Crossplane is a major plus).

• CI/CD: Proven track record of designing and maintaining robust CI/CD pipelines to ensure seamless code-to-production workflows.

• Networking & Connectivity: Strong grasp of advanced networking concepts, including VPCs, Load Balancing, DNS, Service Mesh, and hybrid-cloud connectivity.

• Security & Compliance: Commitment to Security Best Practices - implementing "Security as Code," IAM least-privilege principles, container security, and secret management.

• Version Control: Expert-level proficiency with Git, including advanced branching strategies and repository management.

• Linux & Scripting: Strong Linux administration background with proficiency in Python, Bash, or PowerShell.

• Observability: Hands-on experience with Prometheus, Grafana, and ELK to diagnose and resolve complex production issues.

• Trouble Shooting: Fluent and comfortable working in the Linux terminal.

• Education: BS in Computer Science, Engineering, or equivalent practical "in-the-trenches" experience.

Advantage:

• Cloud Certified: AWS Professional level certifications (Solutions Architect or DevOps Engineer).

• Modern Delivery: Experience with GitOps workflows (ArgoCD or Flux).

• Messaging: Familiarity with Kafka or RabbitMQ.

• Legacy/Hybrid: Experience with VMware, SQL/NoSQL databases, or older SCM tools like TFVC.

• Dev Background: You’ve spent time on the "other side" writing software or working with dev frameworks.

#LI-AG2

We’re looking for a team player with excellent interpersonal skills & service oriented. Creative & out of the box thinker. An autodidact, quick, effective and versatile who’s able to change directions in midstream. Independent & Accountable.

As a Senior DevSecOps Engineer at Payoneer, you’ll play a critical role in embedding security throughout the software development lifecycle (SDLC). You’ll help design, implement, and maintain security controls and automations across our CI/CD pipelines, infrastructure, and application stack.

What you'll do:

• Integrate and maintain security tools across the CI/CD pipeline:
  • SAST (e.g., SonarQube)
  • SCA (Software Composition Analysis) / Dependency Scanning (e.g., Snyk, Trivy, GitHub Dependabot)
  • Secret Detection (e.g., Gitleaks, HashiCorp Vault)
  • Container/Image Scanning (e.g., Aqua, Prisma Cloud, Trivy)
• Drive security automation and enforcement for:
  • Infrastructure as Code (e.g., Terraform)
  • Configuration Management (e.g., Ansible, Chef)
  • GitOps workflows (e.g., ArgoCD)
  • Embed security guardrails and best practices across the SDLC
  • Automate compliance checks (e.g., OWASP Top 10, CIS Benchmarks) into development workflows
  • Integrate with observability and monitoring systems (e.g., Prometheus, Grafana, ELK, Coralogix)
• Collaborate cross-functionally with Product, QA, Development, and IT/Ops teams to continuously improve the security posture
• Participate in on-call rotations for production systems as needed

Who you are:

• At least 3 years’ experience as DevOps/DevSecOps/Security Engineer
• A minimum of 3 years of exposure running production workloads (AWS, Azure or GCP)
• Experience with CI/CD tools and source control management tools (e.g., Git, Azure DevOps, SonarQube, Artifactory etc...)
• Proven experience securing CI/CD pipelines
• Expertise in SCA, SAST, secret scanning, and container security
• Hands-on experience with Kubernetes, Docker, and GitOps tooling (ArgoCD or Flux)
• Proven Scripting capabilities: (e.g. PowerShell/Bash/Python)
• Experience with logging, SIEM, and monitoring platforms
• Experience with IAM, secrets management, and compliance frameworks (SOC2, ISO, etc.)
• High level Linux OS expertise
• Strong troubleshooting skills
• Proactive by nature; internal drive for excellence and improvement
• BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experienc

Advantage:

• Experience with relational and non-relational databases (Oracle, PostgreSQL, SQL, MongoDB) Experience with software development and development frameworks
• Experience with event streaming and messaging platforms such as Kafka, RabbitMQ
• Knowledge and understanding Storage and Networking

#LI-AG2

Who connected is 

Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide.

We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other.

Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job.

Backed by $220M+ from Insights Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency.

About The Role

We are looking for a visionary and hands-on Senior Mobile Infrastructure Developer to take a key role in designing, building, and scaling our mobile infrastructure. 

In this role, you will work across native (iOS/Android) and cross-platform (React Native) environments, focusing on performance, scalability, and developer experience. You will play a central role in shaping the mobile foundations that enable fast, reliable, and high-quality product development.

Key Responsibilities

Mobile Infrastructure Development

• Design, build, and maintain scalable infrastructure in React Native to support mobile app development and deployment
• Lead best practices and implementations in areas such as:
• Mobx
• Geolocation and geofencing
• WebView
• Encryption
• Backend–mobile communication interfaces
• Media compression and management
• Code Push
• Performance optimization and app startup time

CI/CD & Automation

• Implement and maintain CI/CD pipelines for iOS, Android, and React Native platforms
• Automate and optimize build processes, testing, and deployments
• Improve developer velocity through tooling and infrastructure enhancements

Architecture & Design

• Design and evolve mobile architecture aligned with best practices for native (Swift, Kotlin) and React Native
• Continuously improve performance, scalability, and security
• Evaluate and adopt modern tools, frameworks, and approaches

Release Management

• Take ownership of the mobile release lifecycle, ensuring smooth and reliable releases
• Collaborate with QA, developers, and product teams to maintain high quality
• Maintain versioning, release documentation, and rollout strategies

Collaboration

• Work closely with engineering, product, and design teams to align solutions with business needs
• Partner with DevOps and infrastructure teams to improve system reliability and delivery
• Share knowledge and contribute to raising the bar of mobile development practices across the team

Monitoring & Maintenance

• Implement monitoring and observability tools for app performance and reliability
• Troubleshoot and resolve issues across pipelines, builds, and production environments
• Ensure compliance with best practices and industry standards

Experience & Skills

Technical Expertise:

•  6+ Years experience in native mobile development (iOS: Swift; Android: Kotlin) 
• Experience with mobile app distribution via App Store and Google Play.
•  2+ Years experience with React native 
• Exposure to Agile and DevOps methodologies

Leadership & Communication:

• Proven ability to lead architectural discussions and drive consensus across teams.
• Strong mentoring skills, with experience guiding developers in best practices.
• Excellent communication and presentation abilities for both technical and non-technical audiences.

Who Connecteam is:

Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide.
We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other.
Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job.
Backed by $220M+ from Insights Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency.

About The Role

Connecteam is looking for an experienced Data Product Manager with a strong Data Science and Analytics background to own and lead data driven solutions.
In this role, you will define and drive the vision, strategy, and execution of data and analytics products that support our Marketing, Growth, and Acquisition teams. You will operate at the intersection of business, analytics, data science, and AI, translating marketing challenges and business questions into scalable data products, clear KPIs, and measurement frameworks that improve acquisition efficiency, ROI, and long-term revenue growth.
You will lead cross-departmental initiatives, partner closely with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers, and ensure that advanced modeling, analytics, and AI capabilities are deeply embedded into day-to-day marketing decision-making.

Key Responsibilities

Marketing Data Product Ownership

• Own the vision, roadmap, and delivery of Marketing Data Science and Analytics products
• Align initiatives with business goals such as acquisition efficiency, ROI optimization, revenue growth, and funnel performance.
• Act as the single point of ownership for marketing-related data, analytics, and data science products across teams.
• Define data requirements, metrics, and success criteria for new initiatives, including identifying gaps in existing data.
• Collaborate with Data Engineers and Analytics Engineers to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
• Prioritize initiatives based on business impact, scalability, data maturity, and clarity of success metrics.

Business Analytics, Data Science & AI–Driven Marketing Optimization

• Define and own the business logic behind marketing KPIs, ensuring clear, consistent, and trusted metrics across teams.
• Work closely with stakeholders to understand what needs to be measured, why and how.
• Lead data science, analytics, and AI initiatives that optimize marketing performance
• Own and evolve core marketing models including attribution, MMM, LTV prediction.
• Define success metrics and measurement frameworks for models, experiments, and AI-driven decisions.
• Drive experimentation frameworks (A/B tests, geo-experiments, uplift modeling) to continuously improve performance and decision quality.
• Design and deploy AI-powered and agentic solutions to automate and scale marketing workflows such as budget allocation, campaign optimization, and creative testing.
• Ensure solutions are production-ready, measurable, explainable, and actionable for business stakeholders.
• Translate complex model outputs into clear, trusted insights for business users.

Experience & Skills

• 5+ years of experience in Data Product Management, Data Science Product, Analytics Product, or similar roles in a tech or SaaS environment.
  Strong understanding of business analytics, KPI definition, and metrics design, alongside marketing data science, performance marketing, and growth analytics.
  Proven experience owning data and analytics products end-to-end, from business problem definition and measurement strategy through strategy, development, and production.
• Hands-on experience working with data scientists, analytics engineers, data engineers, and BI/analytics teams.
• Ability to translate business questions into analytical frameworks, metrics definitions, dashboards, and experimentation plans.
• Familiarity with attribution, MMM, LTV modeling, experimentation, and optimization frameworks.
• Strong communication skills and stakeholder management across technical and non-technical teams, with the ability to communicate insights clearly to business leaders.

Advantages:

• Experience building or productizing AI-powered or agentic systems.
• Background in performance marketing, growth teams or marketing platforms.
• Experience in fast-growing or high-scale startups.
• Strong understanding of experimentation frameworks.
  
  

Who Connecteam is 

Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide.

We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other.

Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job.

Backed by $220M+ from Insights Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency.

About The Role

We are looking for a Mobile Infrastructure Team Lead to lead the architecture, development, and evolution of our mobile platform foundations.

This role combines technical leadership and hands-on development, with a strong focus on scalability, performance, and developer experience. You will be responsible for setting the technical direction of our mobile infrastructure while leading a team of engineers and working closely with cross-functional stakeholders.

Key Responsibilities

• Own the mobile infrastructure domain end-to-end (architecture, tooling, reliability), and drive technical standards and best practices across React Native and native (iOS/Android)
• Lead and mentor a team of mobile engineers, fostering high engineering standards, ownership, and a collaborative culture
• Design and build scalable mobile infrastructure to support development and deployment
• Lead implementations across key areas such as state management (MobX), geolocation, WebView, encryption, backend communication, and performance optimization
• Own and evolve CI/CD pipelines, driving automation of build, testing, and deployment processes to ensure fast and stable releases
• Partner with Product, Design, QA, and DevOps to align priorities and execution, and act as the main point of contact for mobile infrastructure across R&D

Experience & Skills

• 6+ years of mobile development experience (Swift and/or Kotlin)
• 2+ years of team leadership experience
• Hands-on experience with React Native
• Strong background in mobile architecture and infrastructure
• Experience with CI/CD and release management
• Proven ability to lead technical projects and drive architectural decisions
• Strong communication skills and ability to work cross-functionally

Nice to Have

• Experience with Fastlane & Jenkins
• Familiarity with backend APIs (e.g., Python REST)
• Experience with Agile and DevOps practices

• • #LI-Hybrid

So, what’s the role all about?

How will you make an impact?  

• Lead end‑to‑end research initiatives across NLP, Vision, and multimodal modeling, with a strong focus on LLM‑based and agentic‑AI systems. 

• Architect, prototype, and evaluate singleagent and multiagent systems, including planning, tool use, memory, and orchestration.  

• Establish and own best practices for safe, controllable, and scalable AI agents, including evaluation frameworks, guardrails, fallback strategies, and observability.  

• Act as a technical authority on LLM and agentic systems, guiding architectural decisions, evaluation strategies, and engineering tradeoffs.  

• Define rigorous offline and online evaluation strategies (KPIs, A/B testing, cost/performance tradeoffs) grounded in realworld constraints.  

• Deliver select research components at production quality and partner closely with productization teams to harden and deploy endtoend solutions.  

• Mentor researchers and data scientists, raising the bar for technical rigor, engineering quality, and applied research impact.  

• Communicate complex findings and risks clearly to crossfunctional stakeholders and leadership. 

• Stay at the forefront of AI research, contributing to the team’s agentic‑AI roadmap and long‑term research vision and help set teamwide standards and guidelines.  

Have you got what it takes?

• Skills-first profile with proven, hands‑on impact in applied AI. (Formal degrees welcome but not required.) 

• Strong Demonstrated experience building production‑grade AI agents that perform multi‑step reasoning and tool‑based actions (e.g., tool invocation, planning, memory). 

• Mandatory: Experience with agent frameworks/orchestration layers or custom agent runtimes (e.g., LangGraph/LangChain, semantic routers, workflow engines, or in‑house frameworks). 

• Strong practical expertise with LLMs (AWS Bedrock or similar platforms), including evaluation, prompt/program design, and safety patterns. 

• Strategic problem-solving leadership: You proactively shape ambiguous business questions into well-defined  analytical goals, challenge underlying assumptions, and ensure the work is focused on the problems with the highest impact.  

• Bar‑setting analytical rigor—applied pragmatically: You anticipate bias, confounders, and risks of misinterpretation early, apply the right level of methodological rigor for the decision at hand, and help others distinguish between “theoretically perfect” and “fit for purpose.” 

• Efficient, scalable thinking: You balance depth with speed, favor simple and robust solutions over unnecessary complexity, turn one‑off analyses into reusable insights, and help the organization avoid reinventing or over‑engineering solutions. 

• Track record of translating research into reliable systems in partnership with engineering/product teams. 

• Proficiency in Python and modern ML/DL libraries; strong AI engineering skills (clean architecture, testing, CI/CD, observability), as well as familiarity with HuggingFace or similar model ecosystems and open‑source tooling. 

• Experience applying GenAI to DS workflows (LLM‑as‑a‑judge, synthetic data generation, weak labeling, automated eval). 

• Excellent communication and mentoring skills; fluency in English. 

You will have an advantage if you also have:

• Experience with multi‑agent systems, reinforcement learning, or policy optimization for agent control. 

• Expertise in multimodal or vision‑based deep learning. 

• Operating experience with cloud ML at scale (AWS or equivalent). 

• Leading/mentoring globally distributed teams. 

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: 10398

Reporting into: Group Lead, Data Science, CX

Role Type: Individual Contributor

So, what's the role about?

NiCE is a global leader in AI powered cloud platforms serving more than 25,000 customers worldwide.

We are seeking an exceptional Director of Finance to lead both finance and Corporate Controllership and M&A responsibilities.

This high impact role is ideal for a finance leader experienced in complex transactions, technical accounting, and global reporting within a fast growing SaaS environment.

How will you make an impact?

Corporate Accounting, SEC Reporting and Technical Projects

• Lead and oversee all SEC reporting including quarterly and annual filings ensuring accuracy, completeness, and compliance with US GAAP and SOX
• Own the global month end and quarter end close process ensuring high quality and timely reporting across worldwide entities
• Maintain and enhance the Group Accounting Policy including implementation of new accounting standards across the organization
• Lead complex accounting initiatives including new standards, system implementations, policy enhancements, and audit related requests
• Partner with the Global Tax team on tax accounting matters including quarterly and annual tax provisions, uncertain tax positions, and tax-related disclosures.
• Support SOX activities internal control improvements and automation initiatives
• Oversee strategic accounting analyses across global entities
• Partner with IT on process automation and system improvements utilizing Workday Financials AI supported analytics and other finance systems
• Present financial insights risks and recommendations to senior leadership

Mergers and Acquisitions

• Lead the finance workstream across the full M&A lifecycle including due diligence, purchase accounting, integration, and post-acquisition financial governance
• Partner with Corporate Development and Legal on deal structuring, financial modeling, and accounting considerations
• Drive post-merger integration across processes, systems, controls, and reporting
• Assess synergies, operational impacts, and key risks of acquisition targets

Cross Functional Collaboration

• Partner with business leaders to support financial governance operational alignment and data integrity
• Collaborate with FP&A, Tax, Legal, HR ,IT and Operations on strategic initiatives
• Support transformation initiatives including AI enabled finance capabilities

Have you got what it takes?

• Bachelor’s degree in Accounting Finance or a related field
• CPA required (Big Four background strongly preferred)
• 8+ years of progressive experience in corporate finance accounting preferably within SaaS industry
• 4+ years of proven management experience in global complex environments
• Direct M&A experience including due diligence purchase accounting and integration
• Strong knowledge of US GAAP, consolidation ,SEC reporting and technical accounting
• Experience owning and driving a global month end close process
• Experience with Workday Finance and NetSuite is an advantage
• Ability to lead cross functional initiatives and influence executive stakeholders
• Excellent analytical organizational and communication skills
• Experience with AI driven finance tools analytics or automation is a strong 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.

Requisition ID: 10346
Reporting to: Head of Corporate Accounting
Role Type: Director

#LI-Hybrid

So, what’s the role all about?

How will you make an impact?  

• Lead end‑to‑end research initiatives across NLP, Vision, and multimodal modeling, with a strong focus on LLM‑based and agentic‑AI systems. 

• Architect, prototype, and evaluate singleagent and multiagent systems, including planning, tool use, memory, and orchestration.  

• Establish and own best practices for safe, controllable, and scalable AI agents, including evaluation frameworks, guardrails, fallback strategies, and observability.  

• Act as a technical authority on LLM and agentic systems, guiding architectural decisions, evaluation strategies, and engineering tradeoffs.  

• Define rigorous offline and online evaluation strategies (KPIs, A/B testing, cost/performance tradeoffs) grounded in realworld constraints.  

• Deliver select research components at production quality and partner closely with productization teams to harden and deploy endtoend solutions.  

• Mentor researchers and data scientists, raising the bar for technical rigor, engineering quality, and applied research impact.  

• Communicate complex findings and risks clearly to crossfunctional stakeholders and leadership. 

• Stay at the forefront of AI research, contributing to the team’s agentic‑AI roadmap and long‑term research vision and help set teamwide standards and guidelines.  

Have you got what it takes?

• Skills-first profile with proven, hands‑on impact in applied AI. (Formal degrees welcome but not required.) 

• Strong Demonstrated experience building production‑grade AI agents that perform multi‑step reasoning and tool‑based actions (e.g., tool invocation, planning, memory). 

• Mandatory: Experience with agent frameworks/orchestration layers or custom agent runtimes (e.g., LangGraph/LangChain, semantic routers, workflow engines, or in‑house frameworks). 

• Strong practical expertise with LLMs (AWS Bedrock or similar platforms), including evaluation, prompt/program design, and safety patterns. 

• Strategic problem-solving leadership: You proactively shape ambiguous business questions into well-defined  analytical goals, challenge underlying assumptions, and ensure the work is focused on the problems with the highest impact.  

• Bar‑setting analytical rigor—applied pragmatically: You anticipate bias, confounders, and risks of misinterpretation early, apply the right level of methodological rigor for the decision at hand, and help others distinguish between “theoretically perfect” and “fit for purpose.” 

• Efficient, scalable thinking: You balance depth with speed, favor simple and robust solutions over unnecessary complexity, turn one‑off analyses into reusable insights, and help the organization avoid reinventing or over‑engineering solutions. 

• Track record of translating research into reliable systems in partnership with engineering/product teams. 

• Proficiency in Python and modern ML/DL libraries; strong AI engineering skills (clean architecture, testing, CI/CD, observability), as well as familiarity with HuggingFace or similar model ecosystems and open‑source tooling. 

• Experience applying GenAI to DS workflows (LLM‑as‑a‑judge, synthetic data generation, weak labeling, automated eval). 

• Excellent communication and mentoring skills; fluency in English. 

You will have an advantage if you also have:

• Experience with multi‑agent systems, reinforcement learning, or policy optimization for agent control. 

• Expertise in multimodal or vision‑based deep learning. 

• Operating experience with cloud ML at scale (AWS or equivalent). 

• Leading/mentoring globally distributed teams. 

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: 10398

Reporting into: Group Lead, Data Science, CX

Role Type: Individual Contributor

Role Overview

We are seeking an experienced Incident Response leader to own and lead the company’s response to large-scale, high-impact cyber incidents. This role is responsible not only for technical response, but for cross-company crisis coordination, executive decision support, and ensuring fast, controlled mitigation across engineering, product, legal, communications, and leadership teams.

This is a leadership role for someone who has personally led complex incidents under pressure — including situations involving material business risk, customer impact, regulatory exposure, and executive visibility.

Key Responsibilities

Incident Leadership & Crisis Management

• Serve as the Incident Commander for high-severity cyber incidents, including breaches, supply-chain attacks, insider threats, and platform-wide security events.
• Lead company-wide incident response efforts, coordinating technical, operational, legal, communications, and executive stakeholders.
• Stand up and orchestrate crisis management teams during major incidents, ensuring clear ownership, decision-making, and execution under pressure.
• Drive rapid containment, eradication, and recovery while balancing business continuity, customer impact, and regulatory obligations.
• Act as the primary point of contact to executive leadership during incidents, providing clear, concise, timely, and actionable updates.

Cross-Department Coordination

• Orchestrate response activities across Security, Infrastructure / Cloud Operations, Product & Application Security
• Ensure alignment between technical response actions and business, legal, and regulatory considerations.
• Manage external parties when needed  

Preparedness & Operational Excellence

• Own and continuously improve the incident response framework, including severity definitions, escalation paths, and decision authority.
• Design and run executive-level incident simulations and tabletop exercises, including cross-functional and leadership participation.
• Ensure high-quality post-incident reviews that result in measurable improvements to controls, detection, and response readiness.
• Define and track incident response metrics (MTTD, MTTR, blast radius, decision latency).
• Track and follow-up on lessons learned and enhancements to ensure implementation and continuous improvement.

Required Experience & Qualifications

• 10+ years in cybersecurity, with significant incident response management experience.
• Proven experience leading large-scale, cross-company cyber incidents, including incidents involving:
• Multiple engineering and operational teams
• Executive leadership and board-level visibility
• Demonstrated experience acting as Incident Commander or equivalent role during major security events for at least 15 incidents in the past 5 years.
• Strong understanding of:
• Cloud and SaaS architectures
• Identity, access control, and infrastructure security
• Detection and response technologies (SIEM, EDR, cloud-native tools)
• Offensive background
• Ability to translate technical facts into business impact and risk-based decisions.

Critical Skills & Attributes

• Crisis leadership: Calm, decisive, and structured under extreme pressure.
• Authority without ego: Able to lead across departments without formal reporting lines.
• Executive communication: Clear, concise, and credible with senior leadership.
• Systems thinker: Understands how technical, human, and process failures compound during incidents.
• Bias for action: Moves quickly while maintaining discipline and documentation.
• Analytical thinking: Attention to details and ability to connect multiple dots into a concise and accurate picture.
• Previous experience at Mandiant, Sygnia, CrowdStrike, Unit 42, or similar elite IR teams
• Experience in crypto, fintech, custody, payments, or highly regulated environments
• Hands-on background in forensics, threat hunting, or security engineering

Nice to Have

• Experience in crypto, fintech, cloud infrastructure, or highly regulated environments
• Experience supporting regulatory notifications and post-incident audits
• Background in forensics, threat intelligence, or security engineering
• Familiarity with NIST, ISO 27035, or similar incident response frameworks (practical application, not checkbox compliance)

Who we are looking for

Electreon is developing a unique cloud-based IoT system for charging vehicles wirelessly and on-the-go. As a Strategic buyer, you will independently perform the full range of purchasing duties in accordance with the established policies and procedures of Electreon. This will include material sourcing, supplier development, inventory control, and process improvements to decrease the total cost of ownership.

What you will do

You will work closely with other internal departments and external vendors to ensure that the company’s finished products meet our customers’ expectations of superior quality and on time delivery.

• Sourcing and locating suppliers and other supply sources
• Negotiate with suppliers and reduce costs
• Issue purchase orders while auditing required quantities
• Receipt of quotations, approval of invoices
• Improving relationships with suppliers – conditions, quality, delivery times, availability
• Management and control of suppliers relations from the local/global market
• Delivery, operation, logistical coordination, and order tracking
• Assimilation of procurement methodologies in the organization
• Subcontractors supply management

Requirements

• 5+ years’ experience in a similar position
• Experience in the field of electronics purchasing.
• Knowledge and experience in the US market.
• Experience with mechanical packaging
• Bachelor’s degree in a relevant field
• High-level English –verbal and written.
• Work experience in an ERP environment
• Flexibility to work non-routine hours.

Advantages

• Knowledge of international standards – a significant advantage
• Experience in managing purchasing from a global company
• Knowledge in technical procurement
• NPI buyer – a significant advantage

We are looking for a highly strategic and hands-on Director of Financial Planning & Analysis to lead our global financial planning function and play a key role in shaping the company’s financial strategy and operational execution. 

In this role, you will partner closely with executive leadership and cross-functional teams to translate business strategy into financial plans, drive data-driven decision making, and ensure strong financial visibility across the organization. You will lead the company’s planning cycles, oversee performance analysis, and provide insights that help guide growth, investment decisions, and operational efficiency. 

This position is ideal for a finance leader who combines strong analytical rigor with strategic thinking, thrives in a fast-paced, high-growth environment, and is motivated by building scalable financial processes that support the next stage of company growth. 

You will also lead and develop a high-performing FP&A team and play a central role in supporting leadership and board discussions with clear financial insights and forward-looking analysis. 

Responsibilities: 

• Own and orchestrate the company’s annual planning cycle, rolling forecasts, and multi-year financial plans, working closely with senior leadership to align financial targets with strategic priorities. 

• Provide consistent, high-quality visibility into business performance through accurate financial reporting, budget control, KPI analysis, and forward-looking insights that highlight trends, risks, and opportunities. 

• Act as a trusted finance partner to functional and business leaders, converting operational plans into financial outcomes and reinforcing ownership against commitments. 

• Partner closely with Sales and Marketing leadership to evaluate go-to-market investments and optimize GTM resource allocation. 

• Deliver data-driven recommendations to support growth initiatives, efficiency improvements, and capital allocation decisions. 

• Design and maintain scalable financial models to assess strategic options, quantify risks, and support informed decision-making under multiple scenarios. 

• Continuously enhance planning processes, reporting infrastructure, and analytical tools to improve accuracy, speed, and scalability. 

• Drive improvements across budgeting, forecasting, and reporting cycles, ensuring strong financial discipline and operational alignment. 

• Develop clear, compelling materials for executives, the board, and external stakeholders that articulate financial results, outlook, and key business drivers. 

• Evaluate strategic investments and initiatives through ROI analysis, scenario modeling, and business case development. 

• Recruit, develop, and lead a high-performing global FP&A organization, setting high analytical standards and promoting continuous improvement and professional growth. 

Requirements:

• 10+ years of experience in Finance, FP&A, or Strategic Finance roles, including 5+ years in leadership positions. 

• Experience in high-growth SaaS or technology companies. 

• Deep understanding of SaaS business models and metrics. 

• Proven experience leading annual planning, forecasting, and long-range financial modeling. 

• Strong financial modeling and analytical capabilities with the ability to translate complex data into clear business insights. 

• Experience partnering with executive leadership and cross-functional teams. 

• Track record of building and managing high-performing global finance teams. 

• Strong communication and presentation skills, including experience presenting to senior leadership and/or board members. 

• Experience working with financial planning systems, ERP platforms, and business intelligence tools. 

• Bachelor’s degree in Finance, Accounting, Economics, or related field.