[No.1 Global ​B2B/SaaS ​Video ​Commerce Platform ​Provider, Shoplive]

Shoplive is a ​global ​B2B SaaS ​startup offering an ​innovative Video ​Commerce ​Platform.

With proprietary ​technology, ​bold ​ideas, and a ​user-centered ​interface, Shoplive has ​quickly ​emerged ​as a market ​leader since ​its ​founding just ​four years ​ago. ​We have successfully ​partnered with ​top fashion commerce platforms such as Musinsa, The Handsome, ZigZag, Kolon Mall, SSF, W Concept, and 29CM, as well as major corporations including Samsung, LG, and Shinhan Bank, firmly establishing our presence in the B2B video commerce market.

Beyond Korea, Shoplive is rapidly expanding into global markets, including Southeast Asia (Singapore, Indonesia, Malaysia, the Philippines, Thailand), Europe (UK, France, Germany), and North and South America (Chile, Brazil, Mexico), solidifying its position as an early mover in the global B2B space.

In particular, through close collaboration with one of the world’s largest e-commerce companies, Shoplive is scaling at an unprecedented pace while continuing to attract strong interest from top-tier investors both in Korea and abroad.

[What We Do]

Shoplive’s Live Commerce, Short-Form, and Video AI solutions are designed to enhance brand identity and maximize sales through real-time live streaming, sophisticated data analytics, and AI-powered video editing technologies.

With easy installation and seamless integration, our platform delivers an exceptional user experience for both businesses and end users.

At Shoplive, we are committed to transforming the e-commerce landscape through technology and product excellence.

To enable richer interactions between brands and consumers, we continuously push ourselves to focus on what we do best, what must be done, and even the most challenging problems that need to be solved.

Right now, every member of our team is working with a shared purpose — to build the world’s best video commerce products.

In the ever-evolving world of e-commerce, where trends change rapidly, Shoplive will continue to respond swiftly and collaboratively through an agile approach to innovation and partnership.

[How We Work]

• Product-oriented
• At Shoplive, we build a live commerce platform that connects brands and consumers — powered by our unique, proprietary technologies.
• Proactive
• We lead the live commerce market by actively responding to the fast-changing needs of the e-commerce industry.
• Flat Work Culture
• We believe in a flat organizational structure where every team member can work freely and effectively, without unnecessary formalities.
• Personal Growth
• We value individual growth above all. Through ongoing feedback from leaders, open communication, and seamless collaboration with peers, we support each member’s development and progress.

[Join Us]

At Shoplive, we’re looking for team members who are eager to grow alongside passionate colleagues and create experiences that truly excite.

Joining us isn’t just about starting a new job — it’s about embarking on a journey to shape a new commerce culture on a global stage. The experiences you gain here will be more than just tasks; they’ll be valuable opportunities to expand your growth and elevate your career.

Above all, we value each other’s ideas, and we’re a team that learns by laughing, challenging, and collaborating together.

We’re waiting for new teammates who want to grow with us, enjoy the journey, and change the world together!

[Introduction]

Shoplive is looking for a Senior Data Engineer to lead the development, integration, and visualization of data pipelines across various sources. In this role, you'll not only contribute technically but also help shape the direction of our growing data team through operational leadership and strategic decision-making.

You will be responsible for building and maintaining scalable, efficient, and secure data pipelines, ensuring high data quality, and empowering the business with actionable insights.

[Key Responsibilities]

• Design, develop, and operate data pipelines from multiple heterogeneous data sources
• Manage and optimize data storage with a focus on quality, cost-efficiency, and security
• Build data visualization and monitoring systems to support real-time and historical analysis
• Design and enhance ETL/ELT processes to support business insights
• Collaborate closely with analysts, product managers, and cross-functional stakeholders to solve data-driven challenges
• Mentor junior data engineers through code reviews and technical guidance
• Lead technical decision-making and contribute to team direction and prioritization

[Qualifications]

• Bachelor’s degree or higher in Computer Science or a related field
• 5+ years of experience in data engineering
• Strong SQL skills and experience operating RDBMS
• Proficiency in at least one programming language such as Python, Java, or Scala
• Hands-on experience with data warehouse solutions like BigQuery, Redshift, or Snowflake
• Familiarity with workflow orchestration tools such as Airflow
• Experience using data visualization tools like Looker or Tableau
• Solid understanding of data pipeline architecture and large-scale data processing
• Strong technical communication skills and ability to collaborate across teams

[Preferred Qualifications]

• Experience with distributed data processing frameworks such as Hadoop, Spark, or Kafka
• Experience designing and operating data architectures in cloud environments (e.g., AWS, GCP)
• Understanding of container and orchestration technologies like Docker and Kubernetes
• Experience with data governance and security policy implementation
• Proven track record of collaborating with analysts or product teams to solve business problems using data

[Benefits & Perks]

We respect and grow together.

• Flexible working system with autonomy to choose your working hours and remote work options.
• A culture where everyone can freely share opinions without being restricted by titles or hierarchy.
• Use of English nicknames and open, horizontal communication.

We create an environment for deep focus.

• Top-tier equipment such as MacBook (Pro/Air) and 4K monitors provided.
• Full support for collaboration tools like Google Workspace and Slack, plus access to AI-powered productivity tools.
• Personal allowance (KRW 150,000) for customized peripherals to set up your ideal workspace.
• Office located just 3 minutes’ walk from the nearest station, in a modern shared office space.
• Transportation expenses covered for late-night work or business trips to ease unnecessary burdens.

No worries about meals.

• Every team member receives a personal corporate card to freely cover lunch and dinner.
• Unlimited snacks and beverages always available.

We support both work and life.

• Regular comprehensive health check-ups provided.
• Birthday & holiday gifts, as well as support for family events and milestones.

We grow together.

• Full support for books and training expenses.
• Opportunities for domestic and international business trips to directly experience global commerce.

[How to Apply]

• Application Documents: Resume(Required), Portfolio(Optional)
• Recruitment Process: Document Screening → Screening Interview → Main Interview (2–3 rounds) → Offer Discussion → Final Decision
• For some developer positions, a technical assignment or phone interview may be conducted after the document screening to assess job fit.
• The main interview includes evaluations on job competency, collaboration, and cultural alignment, and its structure may vary.
• While the main interview is typically conducted in a single day, it can be divided into multiple sessions depending on the candidate’s schedule or circumstances.
• Employment Type: Full-time (6-month probation period)
• Work Location: 4F, 415 Teheran-ro, Gangnam-gu, Seoul
• A reference check may be conducted depending on experience and seniority.
• Some interview steps may be skipped or added based on the applicant’s background.
• If any submitted information is found to be false, the offer may be revoked.

[Location]

Headquarter

• Singapore

Branches

• Seoul, South Korea
• California, USA
• Vancouver, Canada

[References]

Official

• Github – Shoplive Official GitHub

Press Coverage

• ZDNet – Article on seminar hosting
• Byline Network – Service and business strategy introduction
• Todayhouse – Live commerce collaboration case
• Nate – Global business expansion coverage
• Seoul Econimic Daily – Short-form service article
• Digital Today – AI clip-related article
• Mashable – Global AI trends
• TV Chosun/GS Home Shopping – Cases of combining commerce and AI