This position is with STRADVISION Seoul Office
[About STRADVISION]
We Empower Everything To Perceive Intelligently
With a mission statement of “We Empower Everything To Perceive Intelligently”, STRADVISION is putting all of our effort to make better life for everyone through AI-based camera perception technology. Everyday, we focus on creating AI-based vision perception techonolgy with more than 300 members across 8 offices worldwide and we expect our software to perceive everything precisely & intelligently to make 1% difference in people’s lives. Thus, we are looking for members who would like to join our meaningful journey and face challenges that no one has done it before together at STRADVISION.
[Our Story]
🔎 STRADVISION’s Core Technology
[Our Technology]
- STRADVISION is the FIRST deep-learning based technology start-up company in the world who has obtained ASPICE CL2 certification in 2019.
- STRADVISION has also been honored with the AutoSens Awards for ‘Best-in-Class Software for Perception Systems’(Gold Award Winner) for 2 years in a row(2021, 2022).
- STRADVISION’s outstanding technology was recognized worldwide by successfully completing the Series C funding at KRW 107.6 billion with Aptiv and ZF Group in August, 2022.
- About 167 patents related to autonomous driving/ADAS have been acquired in Korea, Japan, US and Europe. As of today, STRADVISION is actively developing our technology to be differentiated.
- By the first half of 2025, vehicles equipped with SVNet surpassed 4 million units globally, maintaining growth despite economic slowdown and intensifying industry competition.
- In 2025, STRADVISION was ranked 10th in domestic AI competitiveness, following companies such as Samsung, Naver, and LG.
[Mission of the Role]
This role is responsible for managing data-related projects in close collaboration with global customers and external partners. You will work with large-scale datasets in the autonomous driving domain, handling data at a petabyte scale and contributing to the delivery of high-quality data for AI model development.
As a Technical Data Project Manager, you will act as the primary point of contact for customer communication, ensuring that data requirements are clearly defined, issues are resolved efficiently, and project delivery is aligned with expectations. You will coordinate across multiple internal teams and external stakeholders to drive smooth execution, while maintaining high standards of quality, timeline, and communication.
[Key Responsibilities]
- Act as the primary point of contact for global customers and external partners, leading communication, requirement alignment, and issue resolution
- Manage data-related projects by coordinating cross-functional teams, tracking progress, and ensuring timely delivery
- Identify and resolve project issues by driving collaboration across internal teams and stakeholders
- Drive process improvement and standardization of autonomous driving data workflows, including data pipeline-related operations, and propose automation strategies to enhance efficiency and optimize costs
- Contribute to improving data workflows by collaborating with engineering team and, where applicable, supporting technical initiatives such as data analysis, tooling, or automation
- Maintain clear and structured documentation, report, and project visibility using tools such as Jira and Confluence
[Basic Qualifications]
- A Bachelor's degree or higher is required, or equivalent practical experience.
- Minimum 3 years of work experience in project management, operations, or customer-facing roles, or equivalent experience in data/engineering roles with strong coordination and communication skills
- Strong communication skills, both written and verbal, with a proven record of report writing
- High proficiency in written and spoken English
- Ability to manage multiple projects and stakeholders simultaneously
- Proficiency in documentation and project management tools such as Microsoft Offices, Confluence, JIRA, etc.
[Preferred Qualifications]
- Expert knowledge of automotive market, particularly ADAS systems or solutions
- Experience working with global customers or overseas partners
- Knowledge of data pipelines and MLOps
- Background in data engineering, backend engineering, or technical operations
[Application]
- Required: Resume
- Optional: Cover Letter, Research/Project Portfolio (including publications, open-source projects, or patents), Other theses
- Please include detailed information on your relevant work or research experience in your résumé and/or portfolio.
- For Master’s/Ph.D. degree holders: Please provide detailed project and/or research experience, such as a portfolio or equivalent documentation.
[Recruitment Process]
- Application Review > Interview(s) > Reference Check (above 5yrs) > Offer > Onboarding
- Please be aware of that the recruitment processes & schedules may be changed depending on the job and/or other circumstances.
[Others]
- This position is open for ongoing recruitment and may close earlier once the role has been successfully filled.
- A 3-month probationary period will apply after joining as a regular employee.
- Visa sponsorship can be supported for eligible international candidates.
- If any false or inaccurate information is identified during the hiring process, the recruitment may be discontinued or an offer may be withdrawn.
STRADVISION stands for an open and respectful corporate culture because we believe the diversity helps us to find new perspectives.
STRADVISION ensures that all our members have equal opportunities – regardless of age, ethnic origin and nationality, gender and gender identity, physical and mental abilities, religion and belief, sexual orientation, and social background. We always ensure diversity right from the recruitment stage and therefore make hiring decisions based on candidate’s actual competencies, qualifications, and business needs at the point of the time.
Please feel free to contact us via our talent acquisition team e-mail if you have any questions.
[STRADVISION Talent Acquisition e-mail: [email protected]]
This position is with STRADVISION Seoul Office
[About STRADVISION]
We Empower Everything To Perceive Intelligently
With a mission statement of “We Empower Everything To Perceive Intelligently”, STRADVISION is putting all of our effort to make better life for everyone through AI-based camera perception technology. Everyday, we focus on creating AI-based vision perception techonolgy with more than 300 members across 8 offices worldwide and we expect our software to perceive everything precisely & intelligently to make 1% difference in people’s lives. Thus, we are looking for members who would like to join our meaningful journey and face challenges that no one has done it before together at STRADVISION.
[Our Story]
🔎 STRADVISION’s Core Technology
[Our Technology]
- STRADVISION is the FIRST deep-learning based technology start-up company in the world who has obtained ASPICE CL2 certification in 2019.
- STRADVISION has also been honored with the AutoSens Awards for ‘Best-in-Class Software for Perception Systems’(Gold Award Winner) for 2 years in a row(2021, 2022).
- STRADVISION’s outstanding technology was recognized worldwide by successfully completing the Series C funding at KRW 107.6 billion with Aptiv and ZF Group in August, 2022.
- About 167 patents related to autonomous driving/ADAS have been acquired in Korea, Japan, US and Europe. As of today, STRADVISION is actively developing our technology to be differentiated.
- By the first half of 2025, vehicles equipped with SVNet surpassed 4 million units globally, maintaining growth despite economic slowdown and intensifying industry competition.
- In 2025, STRADVISION was ranked 10th in domestic AI competitiveness, following companies such as Samsung, Naver, and LG.
[Mission of the Role]
This role is responsible for managing data-related projects in close collaboration with global customers and external partners. You will work with large-scale datasets in the autonomous driving domain, handling data at a petabyte scale and contributing to the delivery of high-quality data for AI model development.
As a Technical Data Project Manager, you will act as the primary point of contact for customer communication, ensuring that data requirements are clearly defined, issues are resolved efficiently, and project delivery is aligned with expectations. You will coordinate across multiple internal teams and external stakeholders to drive smooth execution, while maintaining high standards of quality, timeline, and communication.
[Key Responsibilities]
- Act as the primary point of contact for global customers and external partners, leading communication, requirement alignment, and issue resolution
- Manage data-related projects by coordinating cross-functional teams, tracking progress, and ensuring timely delivery
- Identify and resolve project issues by driving collaboration across internal teams and stakeholders
- Drive process improvement and standardization of autonomous driving data workflows, including data pipeline-related operations, and propose automation strategies to enhance efficiency and optimize costs
- Contribute to improving data workflows by collaborating with engineering team and, where applicable, supporting technical initiatives such as data analysis, tooling, or automation
- Maintain clear and structured documentation, report, and project visibility using tools such as Jira and Confluence
[Basic Qualifications]
- A Bachelor's degree or higher is required, or equivalent practical experience.
- Minimum 3 years of work experience in project management, operations, or customer-facing roles, or equivalent experience in data/engineering roles with strong coordination and communication skills
- Strong communication skills, both written and verbal, with a proven record of report writing
- High proficiency in written and spoken English
- Ability to manage multiple projects and stakeholders simultaneously
- Proficiency in documentation and project management tools such as Microsoft Offices, Confluence, JIRA, etc.
[Preferred Qualifications]
- Expert knowledge of automotive market, particularly ADAS systems or solutions
- Experience working with global customers or overseas partners
- Knowledge of data pipelines and MLOps
- Background in data engineering, backend engineering, or technical operations
[Application]
- Required: Resume
- Optional: Cover Letter, Research/Project Portfolio (including publications, open-source projects, or patents), Other theses
- Please include detailed information on your relevant work or research experience in your résumé and/or portfolio.
- For Master’s/Ph.D. degree holders: Please provide detailed project and/or research experience, such as a portfolio or equivalent documentation.
[Recruitment Process]
- Application Review > Interview(s) > Reference Check (above 5yrs) > Offer > Onboarding
- Please be aware of that the recruitment processes & schedules may be changed depending on the job and/or other circumstances.
[Others]
- This position is open for ongoing recruitment and may close earlier once the role has been successfully filled.
- A 3-month probationary period will apply after joining as a regular employee.
- Visa sponsorship can be supported for eligible international candidates.
- If any false or inaccurate information is identified during the hiring process, the recruitment may be discontinued or an offer may be withdrawn.
STRADVISION stands for an open and respectful corporate culture because we believe the diversity helps us to find new perspectives.
STRADVISION ensures that all our members have equal opportunities – regardless of age, ethnic origin and nationality, gender and gender identity, physical and mental abilities, religion and belief, sexual orientation, and social background. We always ensure diversity right from the recruitment stage and therefore make hiring decisions based on candidate’s actual competencies, qualifications, and business needs at the point of the time.
Please feel free to contact us via our talent acquisition team e-mail if you have any questions.
[STRADVISION Talent Acquisition e-mail: [email protected]]