Data Engineer (Databricks) at ncs3 | Singapore

ResponsibilitiesDevelop and oversee user growth strategy for the AI Agent product, focusing on the entire funnel including acquisition, activation, retention, and engagement.Design and execute product-led growth experiments, such as A/B tests for onboarding processes, feature enhancements, messaging, and pricing strategies.Collaborate closely with teams in Design, Engineering, Marketing, and Content to rapidly implement growth experiments.Leverage data and user insights to consistently enhance user experience and drive growth results.Translate complex AI functionalities into user-friendly and high-value experiences.QualificationsMinimum of 3 years experience in Product Management or similar growth-focused roles.Demonstrated strong analytical skills with hands-on experience in running experiments and analyzing user funnels.Proven track record of utilizing user behavior insights to drive meaningful product enhancements.High standards for user experience, interaction, and visual design quality.Genuine interest in reducing barriers to learning and adoption of AI products.About manusaiManusai is at the forefront of AI innovation, creating intelligent agents that bridge cognitive processes and actionable results. Our technology excels in a variety of tasks to streamline both work and personal life, enabling users to achieve more while enjoying their downtime. We cultivate a highly collaborative and innovative environment where professionals across engineering, research, and business unite to expand the horizons of AI applications. If you're driven by cutting-edge technology and aspire to make a significant impact, we invite you to connect with us!Contact us: recruiting@manus.im

Job OverviewJoin our dynamic team at Manusai as an experienced Data Engineer, where you will take the lead in enhancing the efficiency, performance, and reliability of our data infrastructure. You will conduct thorough audits of our existing systems, pinpoint areas for improvement, and implement robust solutions that ensure our data is both high-performing and trustworthy. This pivotal role is essential in establishing a reliable source of truth for data that empowers our analytics and data science teams to extract actionable insights confidently. You will play a key role in building and maintaining a scalable and resilient data ecosystem that aligns with our strategic objectives.Key ResponsibilitiesInfrastructure Auditing & Optimization- Perform detailed audits of the current data infrastructure to evaluate its efficiency, scalability, and performance.- Identify performance bottlenecks and propose optimization strategies.- Redesign and modernize data pipelines to enhance scalability and minimize latency.- Set up monitoring and alerting systems to proactively manage infrastructure issues.Data Pipeline & ETL Development- Design, build, and maintain robust ETL/ELT processes to ingest data from diverse sources.- Assemble large, complex datasets that fulfill both functional and non-functional business requirements.- Automate manual data processes to enhance efficiency and minimize human error.Ground Truth Data Source Management- Create and sustain a centralized, dependable source of truth for all essential business data.- Implement stringent data quality checks and validation processes to guarantee accuracy and consistency.- Advocate for and enforce data governance best practices, including data lineage and metadata management.Collaboration & Support- Collaborate closely with data scientists, analysts, and other stakeholders to understand their data needs and provide necessary support.- Develop analytical tools and offer technical support to enable effective utilization of the data infrastructure.- Serve as a subject matter expert in data engineering best practices and promote their adoption within the organization.

About the RoleJoin our dynamic team at manusai as a GTM Intern and play a pivotal role in driving our market expansion efforts. This position is perfect for an enthusiastic individual who excels at the intersection of business strategy, customer engagement, product marketing, and community building. You will have the opportunity to engage directly with initiatives that foster customer acquisition, partnership development, and market positioning, gaining invaluable experience in crafting go-to-market strategies at an innovative AI startup.Key ResponsibilitiesCustomer & Partner Engagement:• Conduct outreach to potential customers and partners: Identify, research, and connect with strategic accounts through emails, LinkedIn, and calls.• Manage relationship-building: Ensure ongoing engagement through timely follow-ups and meetings.• Collaborate on business solutions: Work with prospects to identify their needs and craft compelling use cases showcasing Manus's value.• Assist in sales discussions: Collaborate with business executives and decision-makers to align on objectives and support deal progression.Community & Events:• Organize community events: Oversee the full lifecycle of event planning, from ideation to execution.• Manage event logistics: Ensure all operational details are handled for successful events.• Cultivate community engagement: Develop and implement strategies to grow and connect the Manus user community.• Facilitate community connections: Create opportunities for community members to engage with each other and the Manus team through challenges and learning sessions.Operations & Enablement:• Oversee CRM management: Track leads and partnership pipelines using CRM tools, ensuring data integrity and follow-up.• Develop customer success playbooks: Create onboarding materials that enhance product adoption and satisfaction.• Collaborate with cross-functional teams: Partner with Product, Marketing, Sales, and Growth to ensure strategic alignment.• Align product capabilities with market demands: Understand Manus's offerings to effectively address customer challenges.

Core Responsibilities:- Create, schedule, and share captivating content across our social media platforms to enhance our follower base and boost engagement.- Keep an eye on social media trends, ongoing conversations, and competitor actions to seize opportunities for crafting viral content and highlighting key areas for the Manus brand.- Foster community engagement by promptly and authentically responding to comments, direct messages, and mentions.- Explore various content formats, particularly short-form videos, to determine what resonates best with our audience.

About the PositionAt Manusai, we are at the forefront of utilizing data to shape the future of AI-enhanced productivity. We are on the hunt for a proactive and commercially-aware Data Analyst to become an integral part of our dynamic team, collaborating closely with business leaders, product managers, and engineers. In this pivotal role, you will play a critical part in our decision-making framework, converting complex datasets into actionable insights that steer product strategies, boost growth, and elevate the user experience. If you have a strong passion for deciphering user behaviors and leveraging data to drive business success within a high-energy AI landscape, this opportunity is tailor-made for you.Key ResponsibilitiesBusiness & Growth Analysis- Assess key business indicators, including revenue, costs, and profitability, to present a transparent view of performance and support strategic planning efforts.- Execute thorough analyses on user acquisition, retention, and expansion trends to pinpoint growth opportunities while optimizing marketing strategies.- Create and uphold dashboards and reports that deliver actionable insights to stakeholders across various departments.Product & User Insights- Develop and assess A/B tests to gauge the effectiveness of new features and product modifications, offering data-driven suggestions for product enhancement.- Conduct in-depth analyses of user interactions with our product to identify pain points and avenues for improvement.- Perform cohort analyses and user segmentation to reveal trends in engagement and value, guiding targeted product and marketing strategies.QualificationsBusiness Acumen- A solid understanding of business dynamics with the ability to translate data into practical actions.- Strong commercial insight, with experience in SaaS business models, user operations, or AI products being a significant advantage.Analytical & Technical Skills- Proficiency in SQL for advanced data querying and familiarity with Python for data analysis and automation tasks.- Expertise in utilizing data visualization tools to produce insightful and comprehensible dashboards.Collaboration & Communication- Excellent verbal and written communication skills, capable of conveying complex analytical findings to both technical and non-technical audiences.- A collaborative spirit and the ability to work effectively in a cross-functional team environment.

Key ResponsibilitiesCluster Operations & ManagementOversee the management and upkeep of containerized clusters (Kubernetes, Docker) and open-source component clusters (Kafka, Redis, Elasticsearch) across various business units.Guarantee the peak performance, scalability, and reliability of distributed systems.Infrastructure Platform DevelopmentArchitect, develop, and enhance infrastructure operation platforms.Create and maintain systems for infrastructure management, CI/CD pipelines, monitoring and alerting, and centralized logging.Champion platform standardization and automation initiatives.High Availability & ReliabilityEnsure maximum uptime for production services through proactive monitoring and effective incident response.Continuously refine service architecture, deployment strategies, and operational processes.Implement and uphold SLA/SLO frameworks and reliability engineering best practices.Automation & Process ImprovementLead the creation of automated operations and maintenance systems.Develop self-service tools and workflows to enhance team productivity.Establish best practices for infrastructure as code and configuration management.

Job OverviewAs a Video Editor at Manusai, you will be responsible for crafting compelling visual stories through video. You will conceptualize, direct, and produce high-quality video content that resonates with our audience. Your expertise in video production will be a significant asset as you collaborate closely with our creative teams.Key Responsibilities1. Create innovative concepts and storyboards for diverse video projects, leveraging your strong video production skills.2. Lead and manage all phases of video production, from scripting and filming to editing and final delivery.3. Work collaboratively with cross-functional teams to gain insights into product features and the target audience.4. Ensure all video materials adhere to brand guidelines and marketing strategies.5. Keep abreast of industry trends and infuse fresh, innovative techniques into your work.

Core Responsibilities:- Formulate and implement a dynamic content strategy that showcases the unique capabilities and diverse applications of the Manus platform. - Create compelling, high-quality blog posts and articles that engage our target audience and enhance organic search traffic.- Perform comprehensive keyword analysis and execute effective on-page and off-page SEO techniques to elevate search engine visibility.- Optimize content to ensure Manus appears prominently and accurately in AI-driven search results.- Assess content effectiveness and user interaction metrics to identify areas for enhancement and growth opportunities.- Collaborate closely with product and engineering teams to remain updated on the latest product innovations and features.Required Skills:- 1-3 years of experience in an SEO or content marketing position, with a proven track record of enhancing search rankings and driving organic traffic.- Exceptional writing and editing abilities, with experience in producing long-form content such as blog articles.- Strong understanding of and genuine interest in AI products and the broader field of artificial intelligence.- Proficient with SEO tools and best practices.- Self-motivated individual capable of working independently and managing multiple projects concurrently.About Manus AI:Manus is a pioneering AI agent that connects thought and action: it not only thinks but also delivers tangible results. Manus excels in a variety of tasks across work and personal life, ensuring everything is accomplished while you take a break. At Manus AI, we foster a highly collaborative and innovative atmosphere where experts from engineering, research, and business unite to explore the frontiers of AI applications. If you are passionate about transformative technology and eager to make a significant impact, we would be thrilled to hear from you!Contact us: recruiting@manus.im

Key ResponsibilitiesLead the monetization strategy for the AI Agent product, focusing on pricing models, subscription plans, and conversion pathways.Establish and monitor essential revenue and commercial performance metrics.Discover and implement strategies to enhance paid conversions and revenue while ensuring a positive user experience.Collaborate with Growth and Core Product teams to synchronize monetization efforts with product value.QualificationsMinimum of 3 years of experience in monetization, subscription, or revenue-driven product roles.Proficient in data analysis, capable of distilling actionable insights from complex datasets.Demonstrated ability to balance user value with business outcomes effectively.High standards for user experience and product design excellence.Genuine interest in the long-term commercial viability of AI products.About Manus AIManus AI is an innovative general AI agent that bridges thoughts and actions, transforming ideas into tangible results. Manus thrives in various tasks across both professional and personal realms, ensuring productivity while you unwind. At Manus AI, we cultivate a collaborative and forward-thinking atmosphere where specialists from engineering, research, and business unite to redefine the boundaries of AI technology. If you are excited about pioneering technology and making a significant difference, we would love to connect!Contact us: recruiting@manus.im

Join our dynamic Marketing team at Manusai as a Video Editing Intern! This role is a fantastic opportunity for students or recent graduates in video production to gain hands-on experience in crafting captivating video content for our marketing initiatives.Key Responsibilities:• Transform raw footage into polished video segments tailored for social media, websites, and promotional campaigns.• Develop engaging short-form videos for platforms such as Instagram, TikTok, YouTube, and LinkedIn.• Incorporate graphics, animations, music, sound effects, and transitions to elevate the final product.• Collaborate closely with the marketing team to align on project goals and creative direction.• Optimize video content for various platforms and formats (vertical, square, horizontal).• Assist with filming and capturing video content as necessary.• Organize and manage video assets and project files efficiently.• Contribute to brainstorming sessions for innovative video concepts and storytelling strategies.• Maintain brand consistency across all video outputs.• Stay informed on the latest trends and best practices in video production and social media.

Job Overview:At manusai, we are on the lookout for an enthusiastic SEO Content Specialist who is deeply passionate about crafting engaging content and eager to explore emerging technologies. As an integral member of our dynamic SEO team, your primary focus will be on producing top-notch content that aligns seamlessly with our product offerings. You should possess a comprehensive understanding of SEO strategies, a refined sense of content quality, and sound editorial judgment. Whether you are generating content independently or evaluating external submissions, you will ensure that every piece we publish is search engine optimized and resonates with our brand's distinct value.If you have experience with SaaS products and are adept at leveraging AI tools to elevate the content creation process, we want to hear from you! However, if you’re not yet familiar with these tools but have a strong desire to learn, we are excited to support your growth journey.Key Responsibilities:Craft persuasive, conversion-driven copy for landing pages and comprehensive blog posts that highlight our latest product features and industry insights.Develop content strategies grounded in keyword research and user intent, applying SEO best practices to enhance search visibility.Serve as the gatekeeper for content quality, meticulously reviewing all internal and external submissions to uphold our high standards for excellence in quality, tone, and accuracy.Continuously explore and implement AI and efficiency-oriented SaaS tools to optimize the content workflow, enhancing team productivity.Collaborate closely with marketing, design, and product teams to ensure that the content strategy is in sync with overarching company objectives, contributing to an exceptional user experience.Qualifications:A minimum of 2 years’ experience in SEO content creation, content marketing, or copywriting, supported by a strong portfolio (please provide links to landing pages, blog articles, etc.).Outstanding writing, editing, and proofreading abilities with a keen eye for detail and a commitment to high content quality.In-depth knowledge of SEO principles, including keyword research, on-page optimization, and content marketing strategies.A strong enthusiasm for learning about SaaS products, AI tools, and related technologies.Excellent project management skills, with the capability to independently drive content projects from inception to publication.

Key ResponsibilitiesIdentify and define essential product requirements and key milestones by analyzing real user needs and use cases.Convert LLM/Agent capabilities into dependable, scalable, and user-centric product features.Oversee the entire product development lifecycle, from drafting PRDs and conducting reviews to launching and iterating on the product.Collaborate closely with Design and Engineering teams to ensure superior execution of product features.Enhance the usability, clarity, and reliability of the AI Agent using data insights and user feedback.QualificationsMinimum of 3 years of experience in Product Management, particularly with 0–1 products or intricate systems.In-depth understanding of AI, LLM, and Agent workflows; ability to work collaboratively with engineering teams.A background in technical or engineering fields is highly desirable.Strong product intuition with a commitment to high-quality UX and design standards.Analytical thinker passionate about transforming AI into practical, user-friendly products.

BJAK develops an insurance and financial services platform focused on usability and personalization. As a leading insurance platform in Southeast Asia, BJAK is expanding internationally while maintaining strong standards for technology and product quality. The company values initiative and ownership, and encourages growth, autonomy, and meaningful contributions from its team. Role overview The Data Engineer in Singapore will build and maintain the data infrastructure that powers analytics, product insights, and downstream systems at BJAK. Collaboration with analytics, product, and engineering teams is central to keeping data reliable, accessible, and production-ready at scale. Main responsibilities Design, build, and maintain scalable data pipelines, both batch and streaming, for business and product data. Integrate data from APIs, databases, event streams, and third-party sources, with attention to quality and reliability. Create and manage data models and storage solutions such as data warehouses and data lakes to support analytics and applications. Work with analytics, product, and engineering teams to deliver clean, well-documented datasets for self-service analytics and experimentation. Set up monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency. Follow data governance practices, including access control, privacy, documentation, and tracking data lineage. Requirements Minimum 3 years of experience in Data Engineering, data-focused Backend Engineering, or a related field. Proficient programming skills in Python and/or TypeScript, with strong SQL knowledge. Solid understanding of data modeling, ETL/ELT processes, and analytics workflows. Hands-on experience with data warehouse platforms such as BigQuery or Snowflake. Proven ability to build and manage production-grade data pipelines. Preferred skills Experience with cloud platforms, especially Google Cloud Platform (GCP). Familiarity with streaming technologies like Kafka or Pub/Sub.

Join us as a Data Engineer at fuku, a dynamic and rapidly growing global consumer internet platform based in Singapore. This exciting role is focused on enhancing our data engineering capabilities to support millions of users across diverse ecosystems including content, community, e-commerce, and advertising.As we expand our international footprint, data has become a pivotal element for our decision-making and growth strategies. You will play a vital role in architecting a cutting-edge global data platform, crucial for driving user growth and optimizing commercial activities. Your expertise will be essential in designing and scaling robust data warehouse architectures and governance systems, empowering business teams worldwide to leverage data effectively.Key ResponsibilitiesFoundational Data Platform & Common Data Layer: Design, develop, and sustain the foundational data platform and shared data structures. Enhance the performance and stability of data operations across core business domains including community, e-commerce, and advertising.Domain Data Warehousing & Data Products: Collaborate with business units to lead the creation of domain-specific data warehouses. Construct data products and analytical models, providing accurate datasets and services that facilitate strategic decision-making.Data Governance Framework: Establish a comprehensive data governance framework that integrates business needs, metadata management, and technical implementation while consistently optimizing data quality, security, and efficiency.

About AvePoint:AvePoint is a pioneering force in the realm of data management and governance. With over 21,000 clients globally, our innovative solutions enhance digital workplace experiences across platforms like Microsoft, Google, and Salesforce. Our extensive channel partner network comprises more than 3,500 managed service providers and value-added resellers, making our services accessible in over 100 cloud marketplaces. Discover more about us at www.avepoint.com.At AvePoint, we prioritize investing in our people. Our core values of agility, passion, and teamwork empower you to shape your career, make a significant impact, and take charge of your future. Join us to unleash your potential!About the Role:As a Data Engineer, you will be instrumental in supporting our Data Movement project, which entails building, integrating, and testing a comprehensive Data Toolkit. This toolkit aims to standardize efforts across the organization to enhance Data Ingestion and Observability. You will also execute and assist in the migration of systems and data from legacy systems to the new Data Toolkit.

Join Our Team as a Data Engineer!At fuku, we are committed to harnessing the power of data while ensuring compliance and integrity. As a Data Engineer, you will play a crucial role in transforming our regional datasets into valuable insights. Your responsibilities will include:- Conducting thorough data inspection, classification, and profiling to evaluate sensitivity and ensure compliance.- Designing and implementing robust data pipelines for desensitization, masking, anonymization, and pseudonymization before data ingestion.- Maintaining well-organized, compliant datasets that support downstream analytics and reporting needs.- Facilitating both user-level and aggregated data analysis while adhering to regional regulations.- Collaborating with data governance, security, and legal teams to effectively translate regulatory requirements into technical controls and workflows.- Upholding compliance-by-design principles: no desensitization means no data ingestion; no inspection means no exposure.- Contributing to the continual enhancement of data quality, lineage, metadata management, and auditability.- Engaging in platform construction and administration with a strong focus on security protocols (e.g., RBAC, MFA, IP allowlists).

Securing the Future with AvePointAvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our extensive global channel partner program encompasses more than 3,500 managed service providers, value-added resellers, and systems integrators, with our innovative solutions featured in over 100 cloud marketplaces. To learn more about us, visit www.avepoint.com.At AvePoint, we are committed to investing in our team members. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us!

About Plaud Inc.Plaud is on a mission to create the world's most reliable AI work companion for professionals, designed to enhance productivity and performance through innovative note-taking solutions. Since our inception in 2023, we have been embraced by over 1,500,000 users globally. Our vision is to elevate human intelligence by developing next-generation infrastructure and interfaces that capture, extract, and leverage insights from what you say, hear, see, and think.Operating from our San Francisco headquarters and incorporated in Delaware, Plaud pushes the boundaries of human-AI collaboration through a synergistic hardware-software approach. We adhere to the highest standards of data security and privacy, holding certifications such as ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031.To learn more about Plaud, visit our website and follow us on Instagram, X, Facebook, LinkedIn, and YouTube.Why Join Us?At Plaud, we are constructing the future of intelligence infrastructure, enabling the capture and utilization of insights from human interactions.We are a self-funded, rapidly growing, and profitable company, achieving a remarkable $250M revenue run rate within just three years.Help define the future paradigm for human-AI interactions.Gain exposure to cutting-edge AI tools and play a pivotal role in our global expansion.Collaborate with a passionate team that values innovation, teamwork, and customer success.Advance your career in a culture that promotes continuous learning and personal development.

Are you passionate about sports and data? Ready to make a significant impact? Join us at Decathlon where our mission is to "Move People through the Wonders of Sport." We are more than just a retailer; we foster a global community driven by a love for sports and innovation. In Singapore and throughout APAC, we are transforming the landscape of sport experiences by harnessing data to enhance decision-making processes daily.We are looking for an outstanding Data Engineer / Analytics Engineer to join our team in Singapore and help us solve real-world data challenges. In this pivotal role, you will serve as the link between raw data and business outcomes. Your expertise will not only help us manage data but also design the systems that drive decisions across our stores, e-commerce, and logistics operations throughout Singapore and APAC, ensuring our data solutions are scalable, efficient, and reliable.Your ResponsibilitiesDesign, develop, and optimize large-scale DBT projects, acting as the primary point of contact for DBT initiatives across the region.Create and enhance production-ready data pipelines and solutions to extract valuable insights from web scrapers, store operations, and ecosystem partners.Establish and improve CI/CD workflows to boost developer productivity, enhance cloud performance, and manage AWS & GCP infrastructure.Work closely with business teams to identify data-driven solutions, clarify requirements, and improve existing tools while fostering a data-driven culture among teammates.Champion automation, effective data use, and data-driven decision-making.Contribute actively to the data and analytics engineering community.