לוח משרות דרושים, לחיפוש זה נמצאו 33,039 משרות

we are looking for a Research Infra Engineer.
As a Research Infra Engineer, you will build and operate the shared platforms that power cyber research: data ingestion, connectivity to internal/external systems, scalable analysis environments, and self-serve tools which allow the team moving faster.
Youll partner closely with CyberAI researchers to translate research needs into reliable, secure, cloud-deployed capabilities used across the group. Your goals are to reduces research-toil, improves reproducibility and code quality, and accelerates the path from prototype to shared capability.
The Responsibilities:
Design, implement, and iterate on internal platforms that support research workflows (e.g., data ingestion, enrichment, indexing, search, labeling, evaluation harnesses, experiment tooling).
Develop durable pipelines and connectors to bring in and normalize research data sources.
Create reusable libraries, templates, CLIs, and services that enable researchers to run analyses and experiments safely and repeatably.
Own deployments, reliability, observability, access control, and cost/performance of the research stack so its usable by all researchers.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

We are looking for a Technical Product Manager to drive the development of the internal platforms and tools that power our business. This includes building the back-office systems, acquisition and monetization products that allow us to evaluate, acquire, and scale mobile apps efficiently.
You will also play a role in shaping AI-driven systems that support our acquisition strategy, helping us identify and act on the most promising opportunities. Working closely with engineering, monetization, data, operations teams and the leadership, youll ensure our tools are reliable, scalable, and create real business impact.

we are a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries.
We're building AI to tackle one of the hardest operational challenges in business: getting workforce management right across many markets, each with its own tax rules, labor laws, payment rails, and constantly shifting policies.
In this role on our AI team, you'll focus on agentic workflow automation. You'll design, build, and deploy reliable AI agents that automate complex HR, payroll, and payment workflows, handling decision-making, document intelligence, and complex tasks that typically require human judgment.
What You'll Do
Design and build agent-based systems that automate document processing, business insights, and complex enterprise workflows
Build observability, evaluation, and feedback loops for agent behavior to improve reliability, accuracy, and trust in production
Own the technical architecture and engineering standards for agentic systems
Build or manage data pipelines to process large volumes of documents and unstructured data
Collaborate with domain experts to identify high-value automation targets and deliver end-to-end solutions
Stay current on agent frameworks, LLM capabilities and limitations, and apply emerging patterns pragmatically in production.

Were looking for a curious and analytical Product Analyst to join our Product Analytics team. In this role, youll work closely with Product Managers, Growth teams, and engineers to analyze product performance, uncover insights, and support data-driven product and business decisions across our mobile app portfolio.
Key Responsibilities:
Analyze product performance across user funnels, engagement, retention, and monetization in our mobile apps.
Partner with Product Managers to define success metrics and evaluate the impact of new product features.
Design, analyze, and interpret A/B tests to measure product improvements and optimizations.
Translate product questions into structured analyses and clear, actionable insights.
Define and maintain product analytics events and tracking specifications in collaboration with Product and Engineering teams.
Ensure accurate instrumentation and reliable tracking of user behavior across the apps.
Build and maintain dashboards and reports using Tableau and Looker.
Use SQL to explore large datasets and identify patterns, opportunities, and performance drivers.
Ensure product metrics are clearly defined and consistently used across dashboards and reporting tools.
Present insights and recommendations to product teams and other stakeholders.

Were looking for a Python Engineer who is passionate about building high-quality software and solving complex technical challenges. In this role, you'll design and develop production-grade Python services that integrate with third-party devices and platforms, enabling reliable data collection at scale. The systems you build will power our AI platform, providing the critical data foundation behind our products.
The Responsibilities:
Design and deliver production-grade, high-quality and robust code.
Research a wide range of software and network devices to find the best data collection solutions.
Collaborate with customers to resolve issues and expand collection portfolio.
Prioritize collection capabilities together with our product team based on customers needs and define milestones.
Work effectively within a team, contributing to a collaborative and innovative development environment.

we are a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries.
We're building AI to tackle one of the hardest operational challenges in business: getting workforce management right across many markets, each with its own tax rules, labor laws, payment rails, and constantly shifting policies.
In this role on our AI team, you'll build and scale core AI systems that power our company's products. You'll work across agentic document intelligence, autonomous agents, compliance AI, and ML-powered insights, prototyping quickly, building robust evaluations, and shipping production-grade AI with real business impact.
What You'll Do
Build and ship AI/ML solutions using LLMs, agents, RAG, and document understanding models, alongside classic ML
Prototype quickly, validate feasibility, and turn strong POCs into production systems
Evaluate models and architectures, apply testing and guardrails to improve agent and service reliability
Research and apply emerging techniques: multimodal/document AI, agentic frameworks, synthetic data generation, and new architectural approaches
Work cross-functionally with product, R&D, and compliance teams to deliver end-to-end solutions
Contribute to scalable, secure architecture and engineering best practices for AI delivery.

Were looking for a data-driven and business-savvy Analyst to join our growing data team.
In this role, youll work closely with our Marketing, Finance, and Sales teams to analyze performance, connect marketing and financial data, and build models that support strategic decisions.
Youll play a key role in translating data into clear business insights that drive growth, efficiency, and profitability.
Key Responsibilities
Partner with Marketing, Finance, and Sales teams to analyze performance, efficiency, and ROI.
Evaluate UA spend, ROAS, and growth metrics across channels, campaigns, and regions.
Build and maintain dashboards and reports in Cursor, Tableau and Looker to track key business and financial KPIs.
Develop and maintain risk models that help guide company decisions and improve forecasting accuracy.
Conduct cohort and funnel analysis to identify performance trends and growth opportunities.
Collaborate with Data engineering and finance teams to align top level metrics with company financial reporting.
Present actionable insights and recommendations that influence both strategy and operations.

We are seeking an exceptional strategic, execution-driven and success-oriented Head of Corporate Development to scale this function and lead mergers and acquisitions, joint ventures, investments and other short and long-term corporate initiatives.
This role reports to our Chief Legal and Corporate Development Officer and works closely with the executive team to identify, evaluate, and execute opportunities that drive sustainable growth and long-term value creation, and also maintains relationships with and ensures satisfaction of our corporate stakeholders. In this role - key to which is enablement - you will be expected to make things happen in the most professional, creative and seamless manner, to turn corporate strategy into business reality.
The Responsibilities
Define and execute corporate development strategy aligned with company goals; establish best corporate development practices, playbooks and repeatable processes; develop M&A models, investment theses and advisory board build-up strategy
Monitor market trends, competitive landscape, and emerging opportunities; build and maintain a pipeline of potential M&A and investment targets; identify and evaluate specific M&A and investment opportunities
Lead end-to-end M&A, investment and corporate JV processes, including sourcing, valuation, due diligence, structuring, negotiation and closing; support post-transaction integration planning and execution; coordinate internal stakeholders and external advisors; manage transaction risks, timelines, and approvals
Present strategic recommendations and transaction updates to executive leadership and the board; develop management and board-level materials
Ensure company preparedness for periodic financing; enable an effective, timely and seamless closing of inbound investments; coordinate internal due diligence; manage timelines, approvals, and post-closing investor onboarding
Manage shareholders relations, including periodic updates and presentations; develop shareholder-level materials

we are looking for a Applied AI Researcher.
The Dream-Maker Responsibilities
Open Research Tracks
Familiarity with at least one is expected:
Computer Vision: object detection, segmentation, multimodal grounding, vision-language models, contrastive and self-supervised representation learning, low-resource and few-shot visual recognition.
NLP / Speech: LLMs, NERs, relation extraction, span-based and generative IE, semantic textual similarity, multilingual and cross-lingual transfer.
Reinforcement Learning: MDPs, POMDPs, model-based and model-free RL, Online Offline methods, reward modeling, sim-to-real transfer, compute-aware planning.
Graph Learning: GNNs, graph clustering, community structure, generative methods, knowledge graph embeddings, dense and sparse semantic retrieval.
Optimization: convex and nonconvex optimization, constrained and Lagrangian methods, combinatorial and integer programming, knowledge distillation (response, feature, and relation-based), test-time optimization, Bayesian optimization, resource-aware inference.
Representation Learning: contrastive learning, self-supervised and unsupervised pre-training, disentangled representations, metric learning and embedding spaces, cross-modal and multimodal alignment, meta learning (hypernetworks), transfer learning and domain adaptation, probing and interpretability of learned representations, world models.
Neurosymbolic AI: neuro-symbolic integration, differentiable theorem proving, inductive logic programming (ILP), probabilistic soft logic (PSL), causal inference and structural causal models (SCMs), programmatic and compositional reasoning
Responsibilities:
Train and evaluate models across research tracks, iterating fast while documenting rigorously.
Build and maintain benchmarking pipelines and evaluation suites.
Curate, structure, and preprocess datasets; contribute to synthetic data generation workflows.
Run ablations and controlled experiments to support research hypotheses.
Reproduce and stress-test results from recent literature relevant to the group's work.
Collaborate across tracks and with engineering teams through to production handoff.

we are a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries.
As our company continues to scale globally, we are looking for an HR Business Partner to join our HRBP team, reporting to the Head of HRBP. In this role, you will work closely with managers and teams across the organization, supporting the execution of the people strategy and driving day-to-day organizational effectiveness.
You will partner with leaders at different levels, while working in close alignment with the Head of HRBP, HR Centers of Excellence, and People Operations, to ensure high-quality people decisions, strong management practices, and consistent employee experience.
Key Responsibilities:
Partner with managers and team leads to support performance, execution, and team effectiveness
Support the implementation of the people strategy within business units
Coach managers on day-to-day peoples decisions, strengthening leadership quality and ensuring strong and consistent management practices
Identify organizational challenges and support the implementation of practical, high-impact solutions
Use data and insights to support decision-making and identify trends that impact teams and performance
Provide ongoing support to employees, building trust and ensuring a high-quality employee experience
Partner with HR Centers of Excellence to implement global frameworks (Talent, Reward, L&D), ensuring adoption and real business impact.

We are looking for an experienced Product Manager to lead a portfolio of mobile apps and take full ownership of their performance and revenue growth.
In this strategic role, you will build and execute product roadmaps, define KPIs, create work plans, and conduct market research. With a strong focus on UX/UI, you will manage hybrid monetization models and run hands-on A/B tests to continuously improve product performance.
You will work closely with the R&D, Data, Design, and Growth teams.
This is a significant, high-impact role for candidates with 3+ years of experience in B2C mobile product management, requiring a deep understanding of monetization models and UX strategies.

We are seeking a Product Manager Lead who will be responsible for leading a team of product managers, product planning, delivery, and marketing throughout the product lifecycle.
You will:
Maximize clarity by bringing a data-driven mindset to setting goals and milestones.
Conceptualize and analyze different parts of our infrastructure and how they interrelate.
Inspire the company by creating bold, game-changing ideas and delivering them across a set of customer problems.
Elicit non-obvious customer needs, synthesize research to gain a deep understanding and narrow definition of a problem.
Co-create with teammates to deliver high-quality results. Speak and write with clarity and comfort in deep technical discussions with engineers about the pros and cons of different approaches.
Lead and mentor a team of product managers, driving alignment, execution quality, and professional growth across the product organization.
Leverage AI-driven tools and methodologies to improve product planning, prioritization, data analysis, and decision-making across multiple product domains.
Use AI capabilities to enhance synthesis of customer insights, market research, and technical complexity into clear product direction and strategy.
Drive adoption of AI-assisted workflows within the product organization to improve efficiency, experimentation velocity, and product quality.

We are looking for a seasoned and execution driven DevOps Team Lead. In this role you will drive the evolution of our infrastructure and cloud operations empowering our entire R&D organization. You will lead fully the DevOps aspects of the company including strategic infrastructure management within a multi-cloud environment. In this role you will leverage cutting-edge AI technologies to accelerate important DevOps flows. As a technical lighthouse, you will set the standard for engineering excellence, cloud-native architecture, and operational scale. You will work in a global environment with highly-skilled engineering teams reporting to the VP R&D.
What Youll Do?
Build and lead a strong DevOps team fostering a culture of ownership, collaboration, and technical excellence.
Take end-to-end leadership and project management of large-scale cloud infrastructures, driving technical decisions, execution, and outcomes.
Continuously modernize DevOps practices (CI/CD, GitOps, monitoring etc) to drive efficiency, agility, and performance across the organization.
Use AI-powered tools and agentic workflows to improve R&D efficiency.
Design and maintain cloud environments using Infrastructure as Code.
Our stack - Mainly GCP and AWS, Kubernetes, Terraform, Terragrunt, Node.js, Golang and more.

Were looking for a Product Manager to own the Banco consumer experience end to end. This is a rare seat: a genuinely consumer-grade fintech product - wallet, card issuing, KYC/onboarding, withdrawals - that reaches a global, mass user base, but distributed through enterprise customers rather than paid acquisition. You will own the roadmap, priorities, and execution for the app workers touch every time they get paid, and you will be accountable for making that experience fast, reliable, and effortless at scale.
You will report to the Director of Product leading the Payments applicative group and work in a squad model - a dedicated design, analytics, and engineering team - with a mandate to raise the quality bar of the app while growing activation and retention among the workers our customers onboard.
What youll own
The end-to-end Banco consumer experience: onboarding and identity verification (KYC), the multi-currency wallet, card issuing (virtual and physical), and withdrawals to bank and stablecoin - across web and mobile.
Activation and retention: turning invited workers into active, paid, engaged users; reducing drop-off across onboarding and first-payout funnels.
Reliability and quality: driving down errors, support tickets, and friction so that I got paid is boring and dependable.
Localization at scale: making the experience feel native across 160+ countries and dozens of payout rails, banking conventions, and languages.
The consumer data model: real objects (addresses, bank accounts, identity) that power smart UX - IBAN→bank lookup, zip→address autofill, one-time data entry instead of repeated forms.