Benefits:

• Horizontal organizational culture

• Flexible working hours

• Casual dress code

• Convenient location (3-minute walk from Sinsa Station)

• Ergonomic chairs, dual monitors, monitor arms provided

Education Requirements:

• Master's degree in Computer Science or related field

Experience Requirements:

• Irrelevant

Other Requirements:

• Proficiency in programming

• Ability to proactively solve problems

• Ability to discuss freely and present opinions, leading to results

Responsibilities:

• Design and implement mathematical/geometrical algorithms

• Develop 3D modeling and simulation algorithms

• Design efficient algorithms for performance optimization

• Develop modules and functions tailored to various CAD system requirements

• Develop and improve Dentbird Solutions: performance enhancement, optimization, security strengthening, and maintenance

Benefits:

• Horizontal organizational culture

• Flexible working hours

• Casual dress code

• Convenient location (3-minute walk from Sinsa Station)

• Ergonomic chairs, dual monitors, monitor arms provided

Education Requirements:

• Bachelor's degree or higher in finance, accounting, or business administration

Experience Requirements:

• 5+ years of experience as a CFO or similar role in a startup environment (company or VC) or 3 years of experience as an accountant at a mid-to-large accounting firm

Other Requirements:

• Experience in fundraising rounds

• Experience in IPO preparation and execution (especially tech IPO)

• Deep understanding of accounting principles and practices

• Leadership and English communication skills

Responsibilities:

• Develop and execute financial strategies

• Manage funding rounds and investor relations

• Prepare and analyze financial reports

• Manage risks and compliance

• Prepare for IPO (including IFRS conversion and tech IPO preparation and process management)

Benefits:

• Flexible time off

• Health and wellness stipend

• Monthly internet stipend

• One-time $500 home office stipend

Experience Requirements:

• 3 + years of experience in mobile industry, digital marketing, digital advertising or related field in SaaS companies

Other Requirements:

• Excellent written and verbal communication in Korean, with the ability to write industry-facing articles

• Data driven, able to oversee budgets, develop reports, and optimize event formats to achieve higher ROI

• Team player, with strong cross-team collaboration skills, working closely with sales, BDR, and marketing team members in other regions

• Demonstrate strong enthusiasm in the mobile industry and digital marketing

Responsibilities:

• Research, register and execute local trade shows in South Korea to further build Sensor Tower’s brand awareness

• Plan and initiate events/webinars to enhance our local engagement, extend our network in the mobile and digital marketing industry, and generate leads for our sales pipeline

• Plan and design efficient events to engage with existing customers, help them explore our products, increase retention and upsell opportunities

• Manage event logistics, from venue selection, vendor negotiation, and budgeting to on-site coordination

• Collaborate with APAC analysts to ensure we deliver the most desired insights for the region. Collaborate with design and other marketing team members to develop event materials, including signage, promotional items, presentations, and email campaigns

Benefits:

• Flexible work environment (flexible hours, remote work, commuting bus)

• Research environment & personal growth (infrastructure, data, equipment, development allowance, book allowance, referral bonus, lunch & snacks)

• Health & welfare (medical expenses, health checkups, psychological counseling, health management)

• Other life support (welfare mall points, condolence money, educational expenses, childcare, entrance gifts, holiday facilities, additional summer vacation)

Responsibilities:

• Market and business analysis

• Market strategy development

• Open innovation initiatives

Other Requirements:

• Native-level English writing skills, with the ability to produce clear and concise technical content

• Ability to understand and communicate technical information in an accessible way

• Basic knowledge of computer science, software, or IT infrastructure

• Interest or experience in AI (especially generative AI) and IT B2B SaaS

• Experience creating and sharing technical content

• User-centered documentation experience

• Passion for writing and simplifying complex information

Responsibilities:

• Writing and publishing English-language content such as technical blogs showcasing FriendliAI's technology and services

• Creating and maintaining product manuals, user guides, and other documentation to help users successfully navigate our products

• Simplifying complex technical topics into clear, concise content for a non-technical audience

• Drafting press releases and partner communications to promote FriendliAI's mission and brand

Education Requirements:

• Bachelor's degree in Marketing, Computer Science, or a related field

Experience Requirements:

• 5-7 years of proven experience in B2B tech marketing, with a strong focus on engineer-focused initiatives

Other Requirements:

• Demonstrated success in developing and executing marketing strategies that drive tangible results within the AI/ML engineering ecosystem, and experience in developing targeted campaigns that resonate with technical audiences

• Excellent written and verbal communication skills, with the ability to craft compelling messaging for technical products and translate complex concepts into easily digestible content

• Proficiency in digital marketing channels relevant to engineers, including technical SEO/SEM, paid advertising platforms, and engineer-focused communities

• Strong analytical skills with the ability to interpret data and make data-driven decisions

• Highly adaptable and able to thrive in a fast-paced, dynamic startup environment

Responsibilities:

• Developing and implementing comprehensive marketing strategies across digital channels, events, social media, and content marketing to reach and resonate with AI/ML engineers

• Creating and refining product positioning and messaging that speaks directly to the needs and aspirations of our target audience

• Creating high-impact marketing collateral (e.g., technical blog posts, tutorials, documentation, sample code) that showcases the value and capabilities of our platform to engineers

• Developing compelling customer success stories, case studies, and demos that highlight how engineers are leveraging our technology to build innovative AI/ML solutions

• Designing and executing scalable demand generation systems, including targeted digital campaigns, paid advertising, and SEO/SEM, optimized for AI/ML engineering communities

Education Requirements:

• BS (or higher) in Computer Science or a related field

Experience Requirements:

• 5+ years of production-level experience in Python and C++

Other Requirements:

• Experience developing large-scale distributed systems

• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes

• Experience working on a PaaS/SaaS platform or with Service-Oriented Architectures

• Experience with security and systems that handle sensitive data

Responsibilities:

• Building and operating products and infrastructure for serving generative AI at scale

• Building scalable and reliable services that run on GPUs across geographic regions and cloud providers

• Building products that operate on Docker and Kubernetes

• Building products and infrastructure at the intersection of distributed systems and machine learning

• Building tools to operate services for reliability and scalability

Education Requirements:

• Bachelor's degree or higher in Computer Science, or equivalent practical experience

Other Requirements:

• Work experience with UI/UX design, web frontend development

• Work experience with JavaScript, TypeScript

• Experience in frontend development using frameworks (e.g., React, Angular, etc.)

• Experience with unit tests and E2E tests

• Experience in complex asynchronous processing

• Experience with issues and bug tracking systems (e.g., Jira, GitHub, etc.)

• Experience with complex charts and displaying methods including statistics

• Development experience using visualization related frameworks

• Experience in cross-browser support

• Experience in B2B product development

• Experience in MLOps related product development

• Experience in large-scale backend engineering development

• Experience in developing services utilizing various cloud services

• Experience in developing frameworks and services related to Auth, Billing, Monitoring

• Experience in CI / CD

• Experience in startup experience or competence

Responsibilities:

• Developing and deploying MLOps web frontend and backend

• Working closely with AI experts and software engineers to design and implement web-based MLOps tools to support the development, deployment, and monitoring of machine learning models

• Developing user-friendly web interfaces

• Integrating with backend APIs and services

• Ensuring the robustness and scalability of our web platform

Education Requirements:

• BS (or higher) in Computer Science or a related field

Experience Requirements:

• 5+ years of experience in production or in high-impact research environments

Other Requirements:

• Production-level experience in Python and C++

• Experience developing machine learning frameworks

• Experience developing GPU kernels

• Experience working with generative AI models such as large language models and diffusion models

• Experience developing machine learning compilers

Responsibilities:

• Developing and optimizing an advanced engine for serving generative AI models, including large language models and diffusion models

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Welcome package

• Procurement of essential work equipment

• Work anniversary benefit

• State-of-the-art work laptop/desktop provided

• Education and seminar fee coverage Employee invention bonus system In-house hobby clubs In-house study groups Book purchasesComprehensive healthcare checkups Paid sick leave Paid menstrual leave Psychological counseling servicesFamily care and bereavement leave Paid annual leave Birthday celebration bonusesRemote work policy Flexible hours Snacks & late-night meals Late-night taxi fare Team socials & tea breaks Sit-stand desks & workspaces optimized for productivity

Experience Requirements:

• Experienced

Benefits:

• Welcome package

• Procurement of essential work equipment

• Work anniversary benefit

• State-of-the-art work laptop/desktop provided

• Education and seminar fee coverage Employee invention bonus system In-house hobby clubs In-house study groups Book purchasesComprehensive healthcare checkups Paid sick leave Paid menstrual leave Psychological counseling servicesFamily care and bereavement leave Paid annual leave Birthday celebration bonusesRemote work policy Flexible hours Snacks & late-night meals Late-night taxi fare Team socials & tea breaks Sit-stand desks & workspaces optimized for productivity

Experience Requirements:

• Experienced

• Entry level