Data Analyst - Product Team

Join Our Dynamic Team As a Data Analyst at Toss Securities, you will be part of our data analytics team. Our Data Analytics (DA) team comprises two main segments: the enterprise analytics unit and the product analytics unit, where you will be contributing to product analysis. Our team is diverse, with members hailing from finance, gaming, e-commerce, O2O, an…

Welcome to daangn Team JourneyAt daangn, we are committed to creating an environment where individuals can grow alongside the company's expansion.We, the daangn recruitment team, are here to assist you in having those moments of joyful contemplation with wonderful colleagues. Introducing the Data Analyst Roledaangn's vision is to foster a warm and active community by connecting neighbors. To achieve this vision, we continuously enhance our products through informed decision-making. As a Data Analyst, you will play a crucial role in improving the quality of these decisions through data analysis.The Data Analyst at daangn will uncover insights regarding user needs and product development directions by analyzing vast amounts of data generated from our products. By closely communicating with various teams, you will define data analysis tasks that address the problems we need to solve and convey the insights gained in an understandable manner to all team members. This process will guide our decision-making in the right direction, contributing to daangn's growth.Your ResponsibilitiesYou will belong to the Data Analyst Chapter while also being affiliated with specific business or organization teams.Define data analysis tasks necessary for product growth and user experience improvement, analyzing diverse data dimensions such as product, user behavior, marketing, and revenue to provide insights and strategies.Systematize and structure the company's goals and team objectives through measurable indicators, creating an accessible environment for all team members.Set indicators and hypotheses for goal achievement, proposing action items through A/B test design and interpretation.Structure and convey insights from analyses in an easily understandable manner for team members.Lead the team's data-driven decision-making culture.We Are Looking ForA candidate with experience in web/app data analysis and a proven track record of product improvement.A problem-solver who can define complex issues and think multidimensionally about various hypotheses.An individual with a solid understanding of mobile service data analysis methods (such as AARRR).Experience or knowledge in designing and executing A/B tests to drive product improvements.Proficiency in SQL (BigQuery), Python, and capable of efficiently querying and processing data.A communicator who can effectively convey data-driven decisions to team members.Preferred QualificationsExperience in utilizing data to propose strategies and achieve business impact.Hands-on experience in the entire data modeling process for analysis.A keen interest in marketing data analysis and marketing automation, familiar with tools like Appsflyer and Adjust.

Join our dynamic team at daangn as a Data Analyst Intern focusing on Cross Product Growth. This is an exciting opportunity for individuals eager to dive into data analysis and contribute to innovative projects. You will work closely with experienced analysts to derive insights from data, helping to shape our product strategies and improve user experience.

Join our dynamic team at Toss Careers as a Data Analyst specializing in advertising. In this role, you will leverage your analytical skills to drive data-driven decisions and optimize advertising strategies. Collaborate with cross-functional teams to uncover insights, enhance campaign performance, and contribute to the growth of our advertising initiatives. Your expertise in data analysis will directly impact our success and innovation in the advertising space.

Join our dynamic team as a Data Analyst focusing on Search Relevance at Toss! In this role, you'll be responsible for analyzing user behavior and search patterns to enhance our platform's search capabilities. You'll work closely with engineering and product teams to drive improvements and optimize user experiences. If you are passionate about data and want to make a tangible impact, we’d love to meet you!

# Data Product at Toss Bank- The Data Product team views data as valuable, creating user-friendly data-centric products.- Data Products are built on data pipelines, analytics systems, and machine learning models, making them easily accessible for individuals and systems.- Our Data Products must ensure clarity in value delivery, with attributes such as consistency, reliability, regulatory compliance, security, usability, scalability, and reusability.- We offer completed service-oriented Data Products like recommendation systems, fraud detection systems (FDS), optical character recognition (OCR), speech-to-text (STT), and dashboards, as well as reusable and combinable Data Mart/API products.# Role Overview- As a Data Product Manager (Mart, API), you will define and manage the company's data as a 'product'. Your responsibility is to provide data in a timely, accurate, and user-friendly manner to internal analysts, engineers, and planners, thereby accelerating data-driven decision-making and driving business growth.- Upon joining, you will integrate into the Data Division, developing and executing the roadmap for data products centered around enterprise data marts and APIs.# Responsibilities- Define and execute the roadmap for data products based on Data Mart and API.- Identify data consumer requirements (VOC) to define data structures, schemas, and access methods (APIs), designing the best developer experience.- Collaborate closely with Data Engineers, Analysts, and operational departments to bridge the gap between business requirements and technical implementation.- Lead the design of a scalable and stable data architecture, understanding complex requirements such as data governance, security, and privacy.- Set key performance indicators (KPIs, OKRs) to measure the success of data products and continuously monitor and improve data quality, API response times, and usage.- Shape the overall data strategy of the organization, designing and executing a long-term vision of 'creating business value through data'.# Ideal Candidate- We are looking for someone with experience or deep understanding of planning and launching data products such as Data Marts, data warehouses, API platforms, and BI tools.- Preferred candidates will have experience leading technically challenging or ambiguous projects to completion.- We seek individuals who can create incremental outcomes while considering both business impact and technical feasibility.- Ideal candidates will want to engage not just in project management but also in transforming the organizational culture and processes around data utilization, collaborating with diverse stakeholders (analysts, engineers, operational departments) to build stronger teams.- We favor those who approach problems holistically and redefine them when necessary to guide projects in better directions.- Experience designing developer APIs or leading large-scale data pipeline projects is a plus.# Resume Tips- Clearly articulate your contributions to data-related projects.- Present a clear narrative of problem definition, solution derivation, collaboration process, and final outcomes.- Focus on achievements (e.g., increased API usage, improved data quality, contributions to automation) rather than simply listing roles.- Highlight experiences solving complex data/technical problems while collaborating with multiple stakeholders.# Journey to Join Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- If any falsehoods are discovered in your resume or disciplinary issues are found in your work history, your application may be canceled.- Candidates who fall under disqualifications according to Toss Bank’s internal regulations or hiring disqualifications for financial institutions may have their applications canceled.- Individuals with disabilities and those eligible for national veteran status will receive preferential treatment in accordance with relevant laws.# Colleague's Insight> "You must be able to view Toss Bank's data as a product."- You will play a role in outlining the roadmap for data products based on Data Mart and API, especially in accelerating data-driven decision-making and driving business growth, which offers significant career growth opportunities.

# About the Team/Position- The Data Product Manager (Log) is part of the Real-Time Data team.- This team ensures that all Toss Bank products operate on reliable data by designing and managing the entire process of log data from 'definition - collection - validation - utilization'.- The App Log Manager plays a crucial role in maintaining the integrity of log data over time, creating standards and quality criteria that ensure data reliability.# Responsibilities- Define and manage the log structure and standards across apps and servers (json schema, key/value rules).- Build and manage the Log Specification with a traceable history of key/value creation, modification, and deletion.- Minimize structural differences between FE, BE, and Native logs while enforcing a unified logging policy.- Design and enhance automated validation systems to ensure log data quality, including: - Syntax validation: checking fields, types, and structures - Semantic validation: ensuring consistency and meaning in logs for the same actions.- Balance team resources and efficiency during standardization and automation, optimizing overall organizational log operations.- Collaborate with data engineers, data analysts, and developers to institutionalize log standardization and QA processes across the organization.- Analyze and address the impact of UI/UX changes, such as design modifications or multilingual (i18n) expansions, on log meaning.- Design a balance between standardization, validation, and automation while taking responsibility for overall data quality.# Ideal Candidate- A self-starter who can structure the entire lifecycle from log definition to validation, with experience in writing Log Specifications and schema design, as well as key/value management.- Strong problem awareness regarding log quality assurance and validation automation, with practical experience in designing and improving validation/QA systems.- Experience in integrating logs from various platforms (FE, BE, Native) into a cohesive system or able to approach complex environments structurally.- Familiarity with dynamic parameters and unstructured log formats.- Proven experience in creating a governance structure focused on systems rather than individuals while collaborating with diverse roles (DA, DE, FE, BE, QA, Design) to improve data quality.- Understanding the influence of design changes and multilingual extensions on log meaning, with the ability to design realistic connections with designers and developers.- Capable of not just identifying complex issues but also designing and implementing practical processes to enhance data quality.# Resume Recommendations- Experience in defining, designing, and managing app logs or service logs.- Experience in log standardization, key/value rules, and schema management.- Experience in designing validation and QA automation (Python, SQL, Airflow, CI/CD, etc.).- Experience in integrating and managing FE/Native/BE logs for quality assurance.- Experience in addressing data quality issues such as log error detection, backfill, and reprocessing.- Experience collaborating with various roles (FE, DA, DE, QA) to enhance data quality.# Journey to Joining Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- Any false information found in resumes or documents may lead to job cancellation.- Applicants falling under the disqualification criteria per Toss Bank's employment rules may also face cancellation.- Disabled individuals and veterans will receive preferential treatment in accordance with relevant laws.# A Colleague's Insight"We manage the log structure and standards across applications and servers."- The Log DPM at Toss Bank plays a pivotal role in ensuring that logs maintain their meaning over time and are trusted as reliable data.- This role provides a great sense of utility as it is responsible for overall data quality!

Join our dynamic team as a Data Analyst specializing in e-commerce, where you'll play a crucial role in transforming data into actionable insights. Your expertise will help drive data-informed decisions that enhance our business strategies and improve customer experiences.

About the Team You'll Join The Data Analyst at Toss Bank is integrated into both the squad and DA chapter, functioning within a matrix structure. At Toss Bank, teams are organized into squads, consisting of 6-8 professionals including Product Owners, Designers, Developers, and Analysts, working autonomously like a startup. Data Analysts in the Toss community belong to the DA chapter, which meets every Wednesday to share insights on data analysis topics. The DA chapter comprises team members with 1 to 12 years of experience from diverse backgrounds, including finance, corporate, gaming, and e-commerce. Key Responsibilities You'll Undertake As a Data Analyst at Toss Bank, you will define business problems through data and identify optimal solutions to effect real change. Drive Data-Driven Decision Making: Go beyond merely extracting requested data by defining the 'real problems' behind business needs and formulating hypotheses. Validate hypotheses using appropriate methodologies, such as causal inference and A/B testing, to derive actionable insights. Create Reliable and Efficient Analytical Environments: Focus on developing reusable data structures that team members can utilize repeatedly, moving beyond one-time analyses. Establish data standards through data mart design and consistency validation that everyone can trust. Work Smart with Technology: Utilize cutting-edge technologies (AI, LLM, etc.) to enhance efficiency in repetitive tasks, allowing for a focus on more significant problem-solving. Proactively adopt new analytical methods and tools that can elevate productivity without being constrained by past practices. We Seek a Candidate Who: Can discern the essence of problems and proactively propose solutions that consider the impact on our team, company strategy, and business objectives. Understands complex business logic and can translate this into coherent SQL queries for structured data. Is adept in deep data analysis using tools like Python/R, capable of accurately interpreting experimental results based on statistical knowledge. Can communicate complex analytical findings in simple terms that non-experts can understand and persuade. Preferred Experience: Experience in constructing dashboards and analytical environments using tools such as Tableau or Amplitude is a plus. Prior involvement in service planning and log design stages is advantageous. Experience in leveraging new technologies (like AI) to enhance work processes is preferred. Resume Tips: Detail impactful projects you have worked on. Showcase the process of problem definition, hypothesis formulation, experimental design, validation, and results. Mention any experiences that led to deep user understanding through data analysis and actionable insights. Check if you have extensively utilized mobile service data analysis methods (LTV, AARRR, Cohort, Funnel, etc.).

# Join Us in the Domain- Commerce: Our commerce domain, initiated to enhance simple payment solutions, has grown to provide both group buying and administrative services for sellers. You will own the data for the commerce domain and play a crucial role in expanding our services, significantly contributing to Toss's growth.- Ads: You will take ownership of the advertising domain data to deliver meaningful ads to Toss users. Toss Ads is the most effective performance advertising platform in Korea, and you will help build a solid foundation for its efficient utilization.- Pay: As a key area of finance, the payment domain significantly steers Toss's growth. You will facilitate connections with various merchants and external organizations to develop Toss Pay, ensuring smooth analysis and insights from payment data.- Growth: Focused on enhancing user engagement and economic value, you will strategize and execute plans for the growth of new services and cross-activation of Toss users.- Business: Placed within the business organization that drives revenue growth for Toss, you will utilize comprehensive data across various domains to provide insights for business analytics and revenue growth strategies.- An interview process will determine the most synergistic domain for your placement, considering your strengths and the organization's needs.- **Want to learn more about Toss's Data Organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)

Role Overview NielsenIQ is hiring an Analyst for Consumer Data Insights in Seoul. This position focuses on converting complex data into clear, practical insights that help businesses interpret consumer behavior and market trends. What You Will Do Analyze consumer data to identify patterns and emerging trends Translate findings into actionable recommendations for business partners Support decision-making by providing clear, data-driven insights

Coupang seeks a Senior Data Analyst to join the Eats Analytics team in Seoul. This position centers on using data to inform decisions that shape the Coupang Eats customer experience. Role overview The Senior Data Analyst will work closely with teams developing new solutions for Coupang Eats. Analysis and insights from this role help guide improvements and respond to evolving user needs. What you will do Analyze data to support decisions that enhance the Coupang Eats customer journey Collaborate with teams to develop and refine solutions based on user data Monitor and interpret trends to help teams adapt to changing customer requirements Location This role is based in Seoul, South Korea.

About the Team You'll Join The Business Data Analyst will be part of the Corporate Initiatives Team within the Strategy Tribe of Toss Bank's Strategy Division. This team plays a critical role in management planning by deriving insights for corporate-level decision-making and discovering new initiatives. We develop, measure, and analyze key performance indicators (KPIs) across the organization to manage overall performance. Your role will involve collaborating with various teams to facilitate data-driven decision-making, interpreting the current state of Toss Bank, and envisioning its future. Your Responsibilities Will Include Building data foundations for key management decisions and supporting process establishment. Structuring management information to provide accurate and timely insights to Toss Bank team members. Designing and enhancing frameworks for establishing enterprise OKRs, analyzing contributions of product organizations, and conducting cost-benefit analyses to support critical decision-making. Structuring and automating performance management systems. Creating data foundations that enhance not only short-term performance but also long-term growth and the value of Toss Bank as a platform, ensuring sustainable growth. Building processes and frameworks to connect user data with financial and operational data for holistic analysis. Supporting team members in understanding how their work impacts overall metrics through a common language and framework for data-driven decision-making. We're Looking For Someone Who Can independently carry out the entire process of data analysis from data cleansing to problem definition and insights generation. Has over 5 years of practical experience in data analysis using SQL. Experience with statistical analysis tools such as Python or R is a plus. Is proficient in at least one data visualization tool (Tableau, Redash, Power BI, Google Data Studio, etc.). Possesses strong communication skills to convey analytical results clearly. Has experience collaborating with teams focused on data analysis, strategic planning, management control, or FP&A from an enterprise perspective. Can quickly grasp the company's current situation, identify issues, and propose new alternatives and strategies. Resume Submission Guidelines There are no specific formats or items required. Please present your experiences in a way that best showcases your qualifications. It’s beneficial if your resume outlines the problem definition, hypothesis setting, experimental design and validation, and outcomes of projects you've undertaken. If you have experience proposing new alternatives and strategies based on a solid understanding of the business, please include that. Journey to Joining Toss Bank Application submission > Pre-query test > Job interview > Cultural fit interview > Reference check > Salary negotiation > Final acceptance and onboarding.

Join CLO Virtual Fashion, a pioneer in the realm of digital fashion, where we blend cutting-edge 3D garment simulation algorithms to provide comprehensive services ranging from concept development to design, manufacturing, marketing, fitting, and styling.Founded in 2009, we are committed to creating a new ecosystem for digital fashion. Our innovative platforms, including CLO, Marvelous Designer, and Jinny, along with CLO-SET and CONNECT, enhance the garment creation journey, fostering efficient and sustainable workflows. Our solutions ensure seamless interaction between physical and digital clothing within the CLO ecosystem.CLO Virtual Fashion is leading the global digital fashion market with 14 offices across 12 countries, including Asia, North America, Europe, and South America, continuously expanding our reach through numerous client partnerships worldwide.Position OverviewThis role transcends mere data analysis; you will define key issues for our Product and Business, steering the direction of growth through experimentation. We seek a proactive individual who can not only create dashboards but also ensure that metrics translate into actionable insights and decisions.The Data Analyst will lead data processing and analysis, enabling users to effectively utilize our products and ultimately enhancing the user lifecycle with CLO. You will manage various data generated from our main products (CLO, Marvelous Designer, CLO-SET, CONNECT) and facilitate effective decision-making by processing and organizing data to support seamless communication within the organization. Additionally, you will establish hypotheses, design logical structures for data extraction and analysis to derive implications and insights, experiencing the entire process from A to Z.Hiring Process[Document Review] → [Assignment Assessment] → [1st Interview] → [2nd Interview (+Reference Check)] → [Compensation Negotiation] → [Final Acceptance]* The 1st interview includes an English interview and SQL Live test.* Reference checks may be requested during the scheduling of the 2nd interview.

Role overview Coupang Eats seeks a Senior Data Analyst to guide strategic decisions and enhance the user experience for its food delivery platform. This role is based in Seoul, South Korea. What you will do Examine complex datasets tied to food delivery operations and customer behavior Generate insights that shape business strategy and drive product improvements Collaborate with cross-functional teams to spot opportunities and address challenges Share findings and ideas that help boost operational efficiency and customer satisfaction Impact Data-driven recommendations from this position influence daily operations and contribute to long-term improvements at Coupang Eats.

At Coupang, we exist to deliver exceptional customer experiences. When our customers say, "How did I ever live without Coupang?" we know we've fulfilled our mission. With unwavering dedication to making shopping, dining, and everyday life more convenient, Coupang is driving innovation across the multi-billion-dollar e-commerce industry. As one of the fastest-growing e-commerce companies, we have established a unique presence in the domestic commerce sector and built strong customer trust.Coupang takes pride in being a globally listed company rooted in startup culture. This agility from our founding continues to fuel our growth as we constantly launch new services and expand our business. Every employee at Coupang has the opportunity to embody an entrepreneurial spirit and drive new innovations and initiatives. Our boldness to dive into work and achieve results is the essence of how we operate. Here at Coupang, you will witness daily growth in yourself, your colleagues, your team, and the company as a whole.All Coupang employees are genuinely committed to shaping the future of commerce. We tackle customer challenges head-on, defying traditional notions and pushing beyond achievable limits. If you seek a remarkable work experience in a hyper-connected world with high availability and cutting-edge technology, join Coupang now.Job OverviewThe SCM Autonomation team is responsible for developing demand forecasting, ordering algorithms, inventory simulations, and supplier relationship management systems to serve our customers. We aim to predict customer demand and ensure the availability of products customers wish to purchase, thereby supporting the growth of our Rocket Delivery and Rocket Fresh businesses.Key ResponsibilitiesLead the Entire Insight Cycle: From ideation to production-level insights, this is central to the role.Smart Heuristic Development: Proactively identify weaknesses in supply chain systems and develop practical, creative logic. Key focus areas include prediction correction logic (fallback for model failures), out-of-stock (OOS) root cause analysis models, and overstock flag rules.Rapid Proof-of-Concept (POC) Development: Quickly develop POCs to validate ideas. For example, creating a Root Cause Analysis dashboard that automatically analyzes causes of stockouts, such as supply delays and inadequate forecasting.Production Implementation: Collaborate with demand planning and engineering teams to integrate validated POCs into actual systems, ensuring logic is accurately incorporated into core inventory planning systems.Inventory Health Expertise: Analyze key supply chain KPIs such as out-of-stock rates and sell-through rates, providing clear explanations for underlying causes rather than just reporting numbers.Data Translator Role: Actively communicate with both technical and non-technical partners to clearly convey not just the 'what' of analysis results, but also 'why it matters.'

Daangn offers an AI-Driven Data Analyst Internship in Seoul, providing the chance to gain experience with advanced technology and real-world data analysis. Interns will join ongoing AI projects and play a part in shaping how data is used throughout the company. Responsibilities Analyze datasets to support AI-focused projects Collaborate with experienced team members on current initiatives Use data analysis skills in practical, hands-on work Contribute to improving data practices at Daangn Location This internship takes place onsite in Seoul.

About the Team You Will JoinThe Product Owner for Toss Securities' AI Data Platform focuses on generating diverse investment information content through AI, enabling customers to make informed investment decisions.Your team is dedicated to gathering all types of data and creating a pipeline that allows AI to generate content tailored to customer needs.We collaborate with various internal silos to build the necessary infrastructure for seamless data and machine learning service delivery, fundamentally transforming the investment experience through enhanced search and recommendation capabilities.Additionally, you will belong to a PO/PM chapter where you can share and solve product management challenges with other Product Owners and Managers.Your ResponsibilitiesDefine challenges in the customer investment journey and hypothesize AI-driven solutions.Plan AI-based content and experiences to help customers become more comfortable with investing.Refine and structure diverse data sources, including investment data, to make them usable.Design products that assist in customer investment decision-making using the latest AI technologies, including RAG, LLM, and ML modeling.Collaborate with ML Engineers and Data Engineers to develop prototypes, enhance model performance, and bring products to market.What We Are Looking ForNo specific years of experience required; we value depth of experience over years worked.Experience in developing or planning data and AI-driven products (search/recommendation/ML/unstructured data/personalization/ETL) is essential.Experience in simplifying and standardizing complex data pipelines to quickly supply necessary data is highly preferred.Ability to clearly define customer problems and connect them with technical solutions.Strong communication skills to collaborate effectively with MLEs and DEs.Resume TipsClearly outline the flow of problem definition, solution derivation, collaboration with stakeholders, and the resulting outcomes for each product, service, or project.Include insights and achievements from the processes rather than just listing tasks.The Journey to Joining Toss SecuritiesApplication Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and OnboardingPlease NoteIf any false information is found in your resume or if disciplinary actions are confirmed in your employment history, hiring may be canceled.Hiring may be canceled for candidates who fall under Toss Securities' hiring restrictions or disqualification criteria.

Coupang Corp. seeks a Data Analyst and Insights Specialist to join the team in Seoul, South Korea. This junior-level position centers on supporting data-driven decisions for the company’s e-commerce operations. Key responsibilities Work with large datasets to uncover trends and patterns relevant to the business Translate analytical findings into clear, actionable recommendations Support business strategy development and initiatives aimed at improving customer experience Role focus This role emphasizes practical analysis that informs decision-making. The specialist will contribute insights that help shape Coupang’s approach to e-commerce challenges and opportunities. Location This position is based in Seoul, South Korea.

# About the Team You'll Join- As a Data Product Manager (AI) at Toss Bank, you will lead the rapid experimentation of AI/ML-driven features and products, connecting them to actual user experiences to drive product success.- Upon joining, you will collaborate with the ML Service Team to discover, plan, implement, and operate AI-based products.# Responsibilities You Will Undertake- You will spearhead the end-to-end planning and improvement cycles of AI and ML-based products.- Define and execute how various AI and ML technologies should function in Toss Bank's customer-facing or internal products.- Collaborate closely with Data Scientists and ML Engineers to bridge technology and product.- Understand complex technical, business, and regulatory requirements, designing domains with developers while strategically solving problems.- Define business impact, design metrics, and enhance products through A/B testing and iterative experimentation.- Design user experiences and business structures from a long-term perspective, focusing on AI.# Ideal Candidate Profile- We are looking for someone with experience or strong interest in services utilizing AI Agents, LLM, and ML.- You should possess experience leading high-complexity or uncertain challenges to completion.- We value those who wish to engage not just in project management but also in transforming organizational development processes and cultures, working with diverse stakeholders (planning/design/development/operations/partners) to build a stronger team.- You need to have the ability to create incremental outcomes by considering both business impact and technical feasibility.- We want someone proactive who can think comprehensively about challenges, redefine them when necessary, and lead towards better solutions.- Practical experience designing and operating ML-based products or systems is a plus.# Resume Submission Tips- Clearly detail your direct contributions to products/services/projects.- Your resume should reflect a clear flow from problem definition to solution derivation, collaboration with stakeholders, and outcome.- Instead of merely listing tasks, include achievements and insights gained during the process.- Highlight any experience where you contributed to measurable outcomes or improvements in business metrics.- Share experiences where you collaborated with multiple developers to resolve complex technical issues.# The Journey to Joining Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- If any false information is found in the resume or if disciplinary actions are confirmed during employment history, the recruitment may be cancelled.- Candidates with disqualifying reasons as per Article 8 (Disqualification) of Toss Bank’s employment regulations may have their recruitment cancelled.- Individuals with disabilities or national veterans are preferred according to relevant laws.# A Colleague's Insight"It's not just about having great technology; it gains meaning when it connects with customer experiences."- At Toss Bank, the AI PM does not limit themselves to experiments and ideas. They take full responsibility for how technology solves problems and what experiences it provides to users.- By collaborating closely with Data Scientists and ML Engineers, decisions are guided not only by metrics but also by actual user feedback. If technology isn't functioning well or fitting the context, it’s also the PM's role to shift direction and redefine the problem itself.- This is a team where such considerations are natural and rapid experimentation is encouraged!