AI Jobs

Benefits:

• Join a global, forward-thinking company

• Work alongside passionate teams

• Grow your career in a high-impact role

• Culture that celebrates diverse perspectives

Education Requirements:

• Bachelor’s degree or equivalent professional experience

Experience Requirements:

• 2–5 years in account management, client success, or digital media strategy

• Experience within ad tech, DOOH, or programmatic advertising

• Understanding of digital media buying models (CPM, CPC, CPA)

• Understanding of programmatic ecosystems (DSPs, exchanges, data partners)

Other Requirements:

• Excellent relationship-building and communication skills

• Highly organized and self-motivated

• Proficiency in Excel and Google Suite

• Fluent in English

Responsibilities:

• Serve as primary relationship lead for a portfolio of publishers

• Develop understanding of client’s objectives and challenges

• Partner with Sales, Trading, and Product teams

• Identify upsell and cross-sell opportunities

• Conduct performance reviews and client meetings

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

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

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

Benefits:

• Competitive salary

• Paid vacation

• Social benefits

• Chances to work on international projects

• Supportive, friendly environment

Experience Requirements:

• 0.5+ years of commercial experience

• Advanced JavaScript knowledge

• Ability to hand-code HTML and CSS from scratch

Other Requirements:

• Upper-Intermediate English or higher

• Experience with design layouts (Photoshop, Adobe XD)

• Ability to work US hours

Responsibilities:

• Develop user interfaces

• Write clean, well-structured JavaScript code

• Build interactive UI elements and animations

• Collaborate with Project Managers and cross-functional teams

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

Benefits:

• Equity

Other Requirements:

• Legally authorized to work in the United States

Benefits:

• Attractive Health Plan

• Dedicated weekly time for education/training

• 25 Days Paid Vacation

• Paid Sick and Personal Leave

• Public Holidays

Education Requirements:

• Industry Certifications related to Technology, Project Management, or Legal Industry

Experience Requirements:

• Prior experience in a Customer Experience / Sales Hunter capacity (min $2m ARR business)

• Strong Am Law C-Title connections (Senior leadership or COO level)

• Extensive knowledge of the Legal & Professional Services industry

• Extensive Technical knowledge of SharePoint, Generative AI, Microsoft 365, and Azure

• Strong presentation and interpersonal skills

Other Requirements:

• Excellent verbal and written communication skills

• Exceptional critical thinking and analytical skills

• Strong business and financial acumen

• Open to working Flexible long hours

• Background check (driving record, education, and employment records)

Responsibilities:

• Represent the organization as customer experience and sales executive

• Directly responsible for driving ARR Growth (minimum 20% Year-over-Year)

• Participate in design, marketing, promotion, and sales of KLoBot software products

• Bring new business through deep connections in the Legal Industry

• Provide a professional public presence at key industry events

Benefits:

• Competitive salary

• Early-stage equity package

• High-trust, execution-first culture with minimal bureaucracy

• Direct ownership of meaningful projects

• Opportunity to sit at the interface between deep research and real-world productization

Experience Requirements:

• 5+ years of hands-on software engineering experience

• Proven ability to execute on incomplete specs and drive projects to completion

• Strong experience writing production-quality code (Python & Rust strongly preferred)

• Track record of rapid prototyping in the LLM/agent space

• Experience orchestrating and evaluating complex multi-agent systems

Other Requirements:

• Legally authorized to work in the United States

• Deep understanding of LLM architecture and inference-time optimisation

• Strong knowledge of the agentic ecosystem (frameworks, tools, MCP servers, MAS architectures)

• Comfortable in fast-moving, ambiguous environments

• Bias for ownership

Responsibilities:

• Translate research prototypes and high-level concepts into production-quality software

• Own deliverables end-to-end: take specifications, clarify requirements, and execute to completion

• Build systems that are correct, reliable, maintainable, and performant

• Work closely with ML researchers and engineers to integrate research outputs into functional systems

• Own critical engineering tasks like data pipelines, API integrations, testing, and error handling

Benefits:

• Competitive salary and benefits

• Opportunity to work on cutting-edge autonomous technology

• Mission-driven team environment

• Dynamic and collaborative workplace

• Growth potential

Education Requirements:

• Bachelor’s degree in statistics, mathematics, computer science, computer systems engineering, or a related field

• Master’s degree in machine learning, data science, or related quantitative field (preferred)

Experience Requirements:

• Programming experience is required

• Experience in statistical modeling is required

• Experience in machine learning is required

Other Requirements:

• Experience with computer vision and perception (2D/3D detection, SLAM/localization, sensor fusion)

• On-edge/embedded deployment and performance optimization

• Familiarity with ROS/ROS2, Git, Linux, PyTorch/NumPy, and SQL

• Clear written and verbal communication skills

• Previous working experience in the mining industry (preferred)

Responsibilities:

• Implement cutting-edge techniques in machine learning and deep learning

• Perform large-scale experimentation to evaluate model performance

• Create advanced algorithms such as regression, simulation, and neural networks

• Build automated pipelines for data cleaning, labeling, and quality assurance

• Develop AI models for mining autonomy and collision-avoidance systems

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Culture of collaboration

• Personal growth

• Technical excellence

• Lifelong learning

• Tools and support

Education Requirements:

• Bachelor’s degree in engineering, computer science or similar

Experience Requirements:

• 5+ years of industry experience in software development

• 2+ years of leadership experience through leading teams, projects or mentoring others

Other Requirements:

• Solid English language skills

• Experience with docker

• Experience with development of HTTP based APIs

• SQL, DevOps, cloud technologies

• Familiarity with Linux and Debian-based distributions

Responsibilities:

• Managing hiring, onboarding, and mentoring

• Encouraging a culture of collaboration, personal growth and technical excellence

• Taking ownership of and maintaining a diverse set of software systems

• Working closely with robotic algorithms and project/product teams

• Implementing standards and best practices for code quality, reproducibility, and security

Benefits:

• Unique opportunity to join Sevensense/ABB

• Professional career development opportunities

• Competitive compensation package

• Modern office in the center of Zurich

• Ambitious, supportive and international team

Education Requirements:

• Masters degree in (Electrical) Engineering

Experience Requirements:

• Experienced with Altium, KiCAD, Autodesk Fusion/EAGLE or similar CAD programs

• Capable of simulating electric circuits in spice tools like LTSpice

• Proficient with standard electronic lab tools like oscilloscopes and logic analyzers

• Knowledge of C, C++, or Python

Other Requirements:

• Basic understanding of the regulatory compliance process

• Responsible and detail-oriented team player

• Can-do mindset

• Ability to take ownership of projects

Responsibilities:

• Design prototypes for next generation products

• Oversee prototype fabrication, including bring-up and debugging

• Maintain the portfolio of Sevensense products and handle change requests

• Validate designs through extensive testing of thermal, vibration, and EMC

• Create test strategies and requirements for production PCBAs