AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Junior Data Engineer
Optimize multi-channel ad campaigns for agencies and brands in real time with an AI execution agent that drives up to 40% efficiency via outcome-based logic.
Experience Requirements:
Familiarity with big data solutions (Spark, Flink, Hive)
Solid knowledge in Python and Linux
Ability to write complex SQL queries
2+ years experience working with Apache Spark/Flink using Scala or Java
Other Requirements:
Strong analytical and problem-solving skills
Fluent verbal and written English
Experience with AWS tools and Docker/K8S preferred
Responsibilities:
Design, build and deploy backend data solutions
Collaborate with product, architects, and R&D teams
Monitor solutions in production for stability and scalability
Work closely with data science experts
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IT Team Lead
Optimize multi-channel ad campaigns for agencies and brands in real time with an AI execution agent that drives up to 40% efficiency via outcome-based logic.
Experience Requirements:
5+ years in IT support, including Tier-2
Proven people management experience
Other Requirements:
Strong interpersonal and communication skills
Hands-on experience with Windows and macOS
Experience with Okta, Azure AD, Jira, and Google Workspace
Experience with IT procurement and vendor management
Responsibilities:
Lead, mentor, and develop IT support engineers
Serve as primary escalation point for Tier-2 issues
Define and track IT support KPIs
Oversee global desktop, endpoint, and application support
Manage IT procurement and vendor relationships
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FP&A Analyst
Optimize multi-channel ad campaigns for agencies and brands in real time with an AI execution agent that drives up to 40% efficiency via outcome-based logic.
Education Requirements:
Bachelor’s degree in Economics, Accounting, Finance, or a related field
Experience Requirements:
2–3 years of FP&A experience in a large, global high-tech company
Other Requirements:
Strong analytical and financial modeling skills
Advanced proficiency in Excel and PowerPoint
Experience with financial planning systems (NetSuite, PBCS)
Fluency in English
Responsibilities:
Act as a trusted business partner to budget owners
Lead the preparation of detailed annual budgets
Monitor and control expenses through ongoing tracking
Prepare and manage monthly rolling forecasts
Produce quarterly financial analysis and management presentations
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Compensation & Benefits and People Analytics Specialist
Optimize multi-channel ad campaigns for agencies and brands in real time with an AI execution agent that drives up to 40% efficiency via outcome-based logic.
Education Requirements:
Bachelor's degree in HR, Business, Economics, Statistics, or a related field
Experience Requirements:
3+ years of experience in compensation and benefits or people analytics
Experience in a tech or high-growth environment
Solid knowledge of compensation principles and market trends
Other Requirements:
Strong analytical and problem-solving skills
Advanced proficiency in Excel
Experience with data visualization tools (Power BI, Tableau)
Excellent communication and interpersonal skills
Responsibilities:
Support annual salary and equity budgeting and review processes
Research and analyze market benchmarking data
Develop and communicate total rewards packages
Build and maintain HR dashboards and reports
Use analytics to identify workforce trends
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Senior Product Analyst
Streamline your entire hiring lifecycle with an AI-native platform that automates sourcing, screening, and scheduling to find qualified global talent faster.
Education Requirements:
Degree in Industrial Engineering, Statistics, Economics
Experience Requirements:
5+ years as a data or product analyst
Proficiency using SQL and Excel
Experience with product analytics methodologies
Experience with Tableau or Looker
Other Requirements:
Fluency in common statistical analysis methods
Strategic thinking
Self-motivation
Responsibilities:
Present data-driven insights to leadership
Build business cases for new functionality
Lead deep-dive strategy analysis
Design and maintain ongoing dashboards
Ensure right data is generated and collected
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Group Product Manager
Streamline your entire hiring lifecycle with an AI-native platform that automates sourcing, screening, and scheduling to find qualified global talent faster.
Experience Requirements:
7+ years in SaaS products
3+ years managing product teams
Strong understanding of data-driven development
Fluency in English
Other Requirements:
Systems & UX thinker
Mobile strategist
Collaborative peer
Responsibilities:
Set vision for Homepage and Notifications
Lead strategy for end-to-end meeting journey
Manage a group of senior PMs
Prioritize complex needs into roadmap
Allocate strategic resources
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Senior Software Engineer
Identify predictive biomarkers and accelerate drug development using multimodal AI technology and spatial biology for precision medicine and clinical trials.
Experience Requirements:
Mid-Senior level experience
Proficiency in AWS services (ECS, Fargate, S3, SQS, Lambda, etc.)
Proficiency in React with modern state management
Proficiency in REST & WebSocket APIs
Proficiency in Backend development (Python, SQLAlchemy, Pydantic, pandas)
Other Requirements:
Can-do attitude
Product-oriented software engineer
Focus on finding insights quickly
Ability to ensure software meets quality, security, and performance requirements
Responsibilities:
Architecture and UX design of software applications
Development, testing, and implementation of software applications
Writing clean, scalable code
Participating in code reviews
Collaborating with cross-functional teams
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Legal Operations Manager
Optimize digital ad spend across CTV, DOOH, and social channels with AI execution agents that automate pacing and real-time outcomes for modern marketers.
Education Requirements:
Bachelor's degree required
Experience Requirements:
8-10 years in legal operations or equivalent role
Experience with CLM tools and legal technology platforms
Other Requirements:
Fluent English
Meticulous attention to detail
Familiarity with privacy regulations preferred
Responsibilities:
Oversee end-to-end contracting and CLM processes
Drive implementation of legal technology and automation
Partner with Sales Ops and IT to optimize legal workflows
Manage legal department budget and vendor relationships
Support due diligence for M&A and SEC filings
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Compensation & Benefits and People Analytics Specialist
Optimize digital ad spend across CTV, DOOH, and social channels with AI execution agents that automate pacing and real-time outcomes for modern marketers.
Education Requirements:
Bachelor's degree in HR, Business, Economics, Statistics, or a related field
Relevant certifications (e.g., CCP, CEBS) are a plus
Experience Requirements:
3+ years of experience in compensation and benefits or people analytics
Other Requirements:
Advanced proficiency in Excel
Experience with data visualization tools like Power BI or Tableau
Knowledge of compensation principles and regulatory requirements
Responsibilities:
Support annual salary and equity budgeting
Research and analyze market benchmarking data
Build and maintain HR dashboards and reports
Partner with HR leadership to develop total rewards packages
Ensure data integrity and consistency across HR systems
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FP&A Analyst
Optimize digital ad spend across CTV, DOOH, and social channels with AI execution agents that automate pacing and real-time outcomes for modern marketers.
Education Requirements:
Bachelor’s degree in Economics, Accounting, Finance, or a related field
Experience Requirements:
2–3 years of FP&A experience in a global high-tech company
Other Requirements:
Advanced proficiency in Excel and PowerPoint
Experience with NetSuite or PBCS preferred
Fluency in English
Responsibilities:
Provide financial insights and decision-support to budget owners
Lead preparation of annual budgets and quarterly utilization reports
Monitor and control expenses through variance analysis
Prepare monthly rolling forecasts
Produce quarterly financial analysis and management presentations
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IT Team Lead
Optimize digital ad spend across CTV, DOOH, and social channels with AI execution agents that automate pacing and real-time outcomes for modern marketers.
Experience Requirements:
5+ years in IT support
Proven people management experience
Other Requirements:
Hands-on experience with Windows, macOS, and SaaS platforms
Experience with IT procurement and vendor management
Expertise in Okta/Azure AD and Jira
Responsibilities:
Lead and mentor IT support engineers globally
Serve as the primary escalation point for Tier-2 issues
Define and track IT support KPIs
Oversee global desktop and application support
Manage IT procurement and vendor relationships via NetSuite
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Senior Developer
Boost conversion rates by automatically segmenting website visitors based on their engagement level to create high-intent audiences for remarketing campaigns.
Benefits:
Coolest guys in town
Ambitious people to grow with us
Diverse role with tons of responsibility
Competitive compensation package
Experience Requirements:
5+ years of experience with Node.js
2+ years in one the common frontend web frameworks
High-level proficiency with AWS on SaaS product/s
Understanding of Machine Learning algorithms and architecture
CI/CD previous experience (Docker/k8s, and/or AWS’s solutions)
Responsibilities:
Design and develop full-stack capabilities working the main web application
Conducting code reviews and architecture revisions
Enhance platform scale and automation processes
Work both autonomously and collaboratively across disciplines
Build and improve new and existing machine learning-based algorithms
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Full Stack Developer
Boost conversion rates by automatically segmenting website visitors based on their engagement level to create high-intent audiences for remarketing campaigns.
Benefits:
Coolest guys in town
Ambitious people to grow with us
Diverse role with tons of responsibility
Competitive compensation package
Experience Requirements:
At least 3 years of experience with Node.js
Frontend web framework development of more than 2 years
Good experience working with AWS tools
Other Requirements:
AngularJS framework experience
Experience with CI/CD processes
Previously working in a SaaS company – a major advantage
Responsibilities:
Design and develop full-stack end-to-end features, more on the back-end side
Customers console & Dashboarding
Come up with innovative engineering ideas and solutions
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Full stack developer
Streamline post-sale engagement and accelerate time-to-value with AI-powered customer interfaces that automate onboarding, adoption, and expansion journeys.
Benefits:
Hybrid work model (3 days in office / 2 days remote)
Experience Requirements:
3+ years of experience as a full-stack developer
Strong proficiency in React.js, JavaScript, and TypeScript
Hands-on experience with state management libraries like Flux or Redux
Expertise in Node.js (NestJS is an advantage)
Experience or curiosity in using AI-powered development tools
Other Requirements:
Knowledge of PostgreSQL
Experience with automation testing, CI/CD, AWS, and DevOps
Excellent debugging and troubleshooting skills
Self-learner with a passion for continuous improvement
Strong communication skills
Responsibilities:
Take full ownership of features, systems, and processes from design to production
Leverage AI tools for coding, testing, and code reviews
Explore new technologies and AI tools to enhance development efficiency
Partner with the product team to design and develop cross-system services
Contribute to architectural decisions for system performance and scalability
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Backend ML Developer
Protect your investments by identifying financial and reputational risks through automated public record research and comprehensive background intelligence.
Education Requirements:
B.Sc in a technical field (CompSci, statistics, math, etc.)
Experience Requirements:
At least 4 years of professional experience
High proficiency in Python and TypeScript
Strong experience with HTTP servers, microservices architecture, and API design
Deep understanding of SQL/NoSQL performance tuning and indexing
Hands-on experience with cloud providers (AWS/GCP/Azure) and containerization
Other Requirements:
Experience with traditional ML libraries (Scikit-Learn, Pandas)
Ability to write clean, testable, and maintainable code
Performance-Obsessed: optimizing for low-latency and high-throughput
Business-Oriented mindset
Responsibilities:
Develop and maintain high-performance backend services using Python and TypeScript
Design and optimize data pipelines and database schemas
Maximize performance of existing stack and deploy next-generation frameworks
Identify business metrics and engineer features to move them
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Office & Employee Experience Manager (Part Time)
Protect your investments by identifying financial and reputational risks through automated public record research and comprehensive background intelligence.
Benefits:
wellbeing activities
happy hours
events
SWAG
Experience Requirements:
2+ years of experience as an office manager in a Hi-tech company
Other Requirements:
Knowledge of Google apps (Gmail, Drive, Calendar), Excel
English – High-level verbal and writing
Hebrew - a high level of fluency required
Strong organisational and planning skills
Service-oriented, proactive, solution-focused attitude
Responsibilities:
Lead the day-to-day administrative activity of the company
Manage all office logistics and vendors (Kitchen, IT, office supplies, parking, etc.)
Administer the full lifecycle of the employee experience (onboarding/offboarding)
Own the planning and execution of company wellbeing activities
Support recruitment efforts as needed
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Applied Data Scientist
Automate the detection, prediction, and correction of supply chain operational issues at scale using agentic AI to maintain product availability and reduce costs.
Education Requirements:
MSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, (or equivalent practical experience)
Experience Requirements:
3+ years of experience in applied data science / ML in a product environment (or equivalent practical experience)
Other Requirements:
Strong Python skills and experience with common DS libraries (pandas, NumPy, scikit-learn)
Solid SQL skills (joins, aggregations, window functions)
Experience building predictive or anomaly detection models and performing rigorous evaluation
Ability to translate business questions into measurable metrics and a clear analytical plan
Experience working with messy real-world data: data validation, debugging pipelines, and collaborating on labeling/ground truth
Responsibilities:
Deliver data science solutions end-to-end within a product squad
Build, train, and improve ML models for supply chain use cases
Define success metrics and evaluation plans with support from senior DS/PM
Work with stakeholders to create and maintain ground truth
Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic
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Path Planning Algorithm Team Leader
Deploy cost-effective, regulatory-compliant autonomous driving with self-learning AI that masters edge cases using minimal compute power for automotive OEMs.
Experience Requirements:
5+ years of experience in autonomous driving / robotics / motion planning / navigation
Strong expertise in Path Planning and/or optimization-based planning methods
Proven ability to lead technically in a hands-on role
Strong C++ skills (Python is a plus)
Experience in automotive production environments — advantage
Other Requirements:
Strong problem-solving skills
End-to-end ownership
Experience with performance-critical code
Responsibilities:
Lead the design and development of Path Planning algorithms
Contribute directly to architecture, implementation, and debugging
Build and evolve planning components
Mentor and guide engineers within the planning team
Develop and improve planning modules integrated with digital twin/edge-AI
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Field and Delivery Manager (Relocation to Hanoi, 1–2 Years)
Deploy cost-effective, regulatory-compliant autonomous driving with self-learning AI that masters edge cases using minimal compute power for automotive OEMs.
Benefits:
A key leadership role in a cutting-edge Automotive AI startup
High level of ownership and impact on customer success
Close collaboration with world-class R&D and Product teams
Opportunity to build and lead local operations
Education Requirements:
Strong technical background (Engineering, Computer Science, or similar)
Experience Requirements:
Experience working with complex systems (automotive, ADAS, or AI)
Proven ability to manage projects across multiple stakeholders
Experience working directly with customers or external partners
Leadership experience managing on-site or cross-functional teams
Other Requirements:
Hands-on, execution-oriented mindset
Strong communication skills in English
Comfortable in a dynamic, fast-paced startup environment
Experience with field operations - Advantage
Responsibilities:
Lead and execute customer testing activities towards SOP readiness
Own release execution at the site – planning, coordination, and validation
Manage and oversee system testing and validation with drivers and engineers
Act as the main interface between Hanoi site and R&D/Product teams
Identify field issues, drive root-cause analysis, and coordinate resolution
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Director of Infrastructure & Platform
Deploy cost-effective, regulatory-compliant autonomous driving with self-learning AI that masters edge cases using minimal compute power for automotive OEMs.
Experience Requirements:
10+ years of experience in backend, infrastructure, DevOps, or platform engineering
Proven experience leading and managing backend, DevOps, security, and IT functions
Strong, hands-on background in data and infrastructure security
Deep experience operating cloud platforms (AWS, GCP, or Azure)
Hands-on expertise with Kubernetes and infrastructure-as-code tools
Other Requirements:
Experience with CI/CD pipelines, monitoring, and incident management
Solid experience with distributed systems and large-scale storage
Experience supporting AI or ML workloads is a strong advantage
Responsibilities:
Own backend infrastructure, DevOps, security, and internal IT operations
Design and operate scalable cloud and on-prem infrastructure
Lead the architecture and operation of systems handling massive volumes of data
Establish and improve DevOps practices (CI/CD, monitoring, reliability)
Define and enforce infrastructure and data security standards
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