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Senior Quality Assurance Engineer

Roku · Shenzhen, China

277 - TV Technology Shenzhen, China Posted May 10, 2026

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About the team

The TV Technology team within the Roku TV New Product Introduction (NPI) group focuses on delivering the best Audio Quality (AQ) and Picture Quality (PQ) and driving innovation. With tens of millions of TVs sold globally, thousands of channels, and billions of hours streamed on Roku TVs, worldclass AQ and PQ are essential.

About the role

We are seeking a Senior Quality Assurance Engineer to join the TV Technology team, based in Shenzhen. As a Senior Quality Assurance Engineer, you will be focused on helping our TV partners build the most desirable and best Smart TVs available. Your expertise in AQ and/or PQ will be utilized to help achieve the best possible audio and picture performance on specific mass-produced TV models by working closely with our TV partners, SOC vendors, and Roku TV engineers. You will also work on optimize and drive automation for existing audio and/or picture test strategies, e.g. by using AI and automation solutions to enhance efficiency and coverage.

What you will be doing

Design, document, and execute test cases for AQ and/or PQ new feature verification, ensuring comprehensive test coverage and high-quality deliverables.
Collaborate closely with dev engineers to debug issues, perform iterative testing, and drive feature quality throughout the product lifecycle.
Continuously optimize AQ and/or PQ test strategies, identifying areas for improved efficiency, coverage, and risk-based testing approaches.
Develop, maintain, and enhance automation scripts (primarily in Python) to increase test efficiency and maintain a sustainable automation framework.
Contribute to test documentation, including test plans, test guides, and knowledge transfer materials for NPI manufacturing and release QA teams.
Participate in technical discussions with stakeholders to align testing efforts with product roadmaps and business priorities.

We’re excited if you have

7+ years of experience in software quality assurance, with a focus on embedded systems, consumer electronics, or TV industry background.
Hands-on experience in AQ and/or PQ testing, with a solid understanding of related test methodologies and industry standards.
Proven ability to debug complex issues, work closely with development teams, and drive quality improvements across cross-functional organizations.
Strong automation skills, particularly with Python scripting, and a proven track record of developing and maintaining automated test cases.
Good English communication skills (both spoken and written) with the ability to participate in daily technical discussions and collaborate with global teams.
Self-motivation and a proactive attitude, with the ability to work independently in a fast-paced, dynamic environment.
An open mindset toward AI technologies – even without prior hands-on AI experience, a strong willingness to learn and explore AI applications in QA is highly valued.
Experience with test automation frameworks and CI/CD integration.
Familiarity with SoC partner engagement or factory support in consumer electronics manufacturing.
Knowledge of AI/ML-based testing tools or data-driven testing approaches.

#LI-GW1

Our Hybrid Work Approach

Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

Accommodations

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. 

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. 

To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.

By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

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Purchasing Manager - ESG

SharkNinja · Shenzhen, China

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28000 - Supply Chain CH - Shenzhen Posted May 9, 2026

About Us

SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

The Role

SharkNinja is evolving its supply chain to meet ambitious right to repair standards around the world. We aren't looking for a theorist; we need a high-octane strategic sourcing professional in Shenzhen to be the "boots on the ground" catalyst within our global cross-functional team (ESG, Supply Chain, Engineering, Quality, Finance).

This is not a theoretical role. You are the bridge between 'Design for Sustainability' and 'Execution for Profitability' in our most critical manufacturing hub. You will provide the field intelligence necessary to design viable replenishment models and own the end-to-end sourcing implementation in Asia, ensuring our repairability programs are scalable, compliant, and cost-effective.

Key Responsibilities

Operating Model design & Field intelligence

Regional Lead: Act as the primary Asia Supply Chain representative on the Global Repairability Task Force. Translate high-level ESG goals into actionable sourcing strategies.
Supply Chain Architecture: Provide "reality checks" for replenishment models (e.g., Make-to-Stock vs. Make-to-Order, traditional vs. additive manufacturing) based on regional Tier-1 and Tier-2 constraints.
Cost & Logistics Modeling: Conduct "Total Landed Cost" analysis, factoring in export licenses, tariff engineering, and international trade hurdles to ensure financial viability.
Lifecycle Insights: Define operational guardrails for spare parts, including Minimum Order Quantities (MOQs), shelf-life management, and end-of-life (EOL) component availability.

Sourcing Implementation & Supplier Management

Replenishment Path Design: Architect the sourcing logic for repair parts from the ground up. You will determine the optimal route (OEM, Tier 2, or aftermarket specialists), balancing high-mix, low-volume agility with minimal lead times, IP security, and supply continuity.
Pilot-to-Scale Execution: Lead the initial sourcing phase for Shark and Ninja pilot programs, documenting a "playbook" for global expansion across the US and European markets.
Inventory Optimization: Partner with global planning teams to implement the Asian leg of the replenishment process, balancing maximum coverage with minimal obsolescence waste.

Qualifications & Competencies

Experience

Industry Tenure: 8+ years in Strategic Sourcing, Global Supply Chain, or Operations, specifically within Consumer Electronics or Small Domestic Appliances.
Aftermarket Expertise: Proven track record in managing spare parts or aftermarket sourcing programs for a global brand.
Regional Knowledge: Deep expertise in the China supplier landscape; experience in South East Asia (SEA) expansion is highly preferred.

Technical & Analytical Skills

Financial modeling: Advanced ability to model scenarios to drive data-led decision-making, e.g., "Make vs. Buy", landed costs, inventory coverage
Trade expertise: Solid understanding of international trade dynamics, including HS code classification, tariff mitigation, and export restrictions.
Manufacturing IQ: Familiarity with manufacturing processes to understand how they impact repairability targets and component-level sourcing.

Soft Skills: Driving Results in a Matrix

Navigating Ambiguity: Comfortable structuring solutions from a "white page" and adapting when leadership doesn't have all the answers.
Matrix influence: Exceptional ability to communicate complex Chinese manufacturing constraints to Western-centric teams (Engineering, Finance, ESG).
Proactive Ownership: Demonstrated resilience in driving cross-functional team members who may have competing priorities. You must be comfortable "overstepping" and asserting leadership to ensure projects stays on schedule.
Language: Fluency in English is mandatory for global collaboration; Mandarin is a significant advantage for negotiations or technical discussion with suppliers.
Operational flexibility: Ability to balance evening US calls with frequent "boots on the ground" travel (~40%) across China and SEA factory sites.

Why This Role?

At SharkNinja, you won't be a cog in a machine. You will be the solution-oriented problem solver for one of our most complex supply chain projects. You will have the autonomy to build a scalable sourcing framework from the ground up, directly influencing SharkNinja's global sustainability roadmap.

Our Culture

At SharkNinja, we don’t just raise the bar—we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you’ll be right at home.

What We Offer

We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what’s possible. When you join, you’re not just part of a company—you’re part of an outrageously extraordinary community. Together, we won’t just launch products—we’ll disrupt entire markets.

At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja’s innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.

Learn more about us:
Life At SharkNinja
Outrageously Extraordinary

SharkNinja Candidate Privacy Notice

For candidates based in all regions, please refer to this Candidate Privacy Notice.
For candidates based in China, please refer to this Candidate Privacy Notice.
For candidates based in Vietnam, please refer to this Candidate Privacy Notice.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com

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Senior Solutions Architect

MongoDB · Shenzhen

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Solutions Consulting, APAC Shenzhen Posted May 8, 2026

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

This role can be based in-office in Shenzhen

As an ideal candidate, you will have:

Ideally 8 - 11 years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software
Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
Experience designing with scalable and highly available distributed systems in the cloud and on-prem
Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership.
Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
The ability to travel up to 25%
A Bachelor’s degree or equivalent work experience

You may also have:

Experience selling databases and/or deploying applications with any of the major cloud providers
Experience with database programming and data models
Experience in data engineering or AI/ML projects
Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
A MongoDB Certification
A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB.
Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders.
Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

Core Database Server: Master the fundamentals and advanced features of MongoDB's core database.
Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts.
Relational Migrator: Learn to migrate from relational databases seamlessly.

Market-Relevant Technologies:

Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms.
Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes.

Modern Architecture Design:

Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security.
Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

Effective Communication: Master presentations, demonstrations, and whiteboarding.
Client Interaction: Develop strategies for discovery and objection handling.

Industry Insights:

Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 425526

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Product Manager (E-commerce & Conversion Rate Optimisation)

CASETiFY · Shenzhen

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Ecommerce (HKHQ) China - Shenzhen Posted Apr 24, 2026

Purpose of Position

CASETiFY is one of the leading global lifestyle brands to offer customizable tech accessories. We're industry leaders when it comes to trend forecasting and protecting what matters most; the community platform for creativity and self-expression.
The role will be responsible for e-commerce project management, track project deliverable and prepare reports as well as to manage new features implementation.

Job Description

Lead the end‑to‑end strategy and roadmap for the e‑commerce platform across web and app, ensuring a seamless, high‑performing customer journey.
Act as the primary owner of conversion rate optimisation, driving a structured experimentation agenda to maximise commercial outcomes across markets.
Govern and evolve the e‑commerce technology stack and data capabilities to support scalable, secure, and future‑ready digital commerce.
Define and champion a personalisation vision that leverages data and AI to enhance relevance, uplift basket size, and increase customer lifetime value.
Provide cross‑functional leadership, aligning Engineering, UX, CRM, Data, Performance Marketing, and Commercial teams around clear priorities and trade‑offs.
Translate business and commercial strategies into actionable platform initiatives, balancing short‑term performance gains with long‑term strategic investments.
Establish and uphold high standards for product excellence, analytics, and experimentation within the DTC organisation.
Mentor and develop junior product and analytics talent, building overall capability in digital product management and CRO.

Requirement

5–8 years in product management, with at least 3 years in DTC e‑commerce (ideally fashion, tech accessories, or lifestyle products).
Hands‑on ownership of CRO, including planning, running, and analysing A/B tests and being able to clearly explain the results and learnings.
Strong understanding of the full online shopping journey (product page, cart, checkout, post‑purchase) and how changes at each step affect performance.
Comfortable working with analytics tools (e.g. GA4, Amplitude) and basic data/SQL, or partnering closely with analysts to get the right insights.
Proven ability to influence and align cross‑functional teams (engineering, design, marketing, commercial) without formal authority, across multiple markets.
Bonus experience in personalisation, mobile app and web UX, major commerce platforms, CRM integration, APAC market behaviours, and AI/ML tools for smarter e‑commerce.
Happy to work in a buzzing multicultural environment.
Proficient in spoken and written Chinese and English.

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Senior Staff/ Principal Research Scientist – Dexterous Manipulation

XPENG · Shenzhen, China

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Robotics Center Shenzhen, China Posted Apr 23, 2026

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.

Key Responsibilities:

Design, implement, and deploy advanced manipulation algorithms for humanoid robot dexterous hands, spanning teleoperation, force control, and reinforcement learning.
Develop and maintain high-fidelity simulation environments for robot kinematics, dynamics, sensor emulation, and physical interaction.
Research and innovate on state-of-the-art reinforcement learning algorithms to solve complex robotic manipulation tasks.
Diagnose and tackle core technical challenges that arise during specific robot task execution.

Basic Qualifications:

M.S. or Ph.D. in Robotics, Computer Science, Artificial Intelligence, or a related field.
Strong foundation in robot dynamics, kinematics, and optimal control, with excellent mathematical skills.
Proficiency in Linux, Docker, C++, and Python. Experience with git and a commitment to writing clean, maintainable code.
A collaborative mindset, intellectual curiosity, and humility in a fast-paced team environment.
Demonstrated ability to independently research and master new algorithms and technologies.

Preferred Qualifications:

Hands-on experience with mainstream reinforcement learning or imitation learning frameworks.
Proven ability to build complex simulations using Isaac Gym/Isaac Lab or similar platforms.
Experience with tactile sensing and its integration in dexterous manipulation.
Practical experience in sim2real transfer for robotics.
Experience in controlling multi-joint robotic systems.
Publications in top-tier robotics or AI conferences (e.g., RSS, ICRA, IROS, CoRL, NeurIPS, CVPR) or journals (e.g., IJRR, TRO, T-RO, RA-L).

What do we provide:

A fun, supportive and engaging environment.
Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
Opportunity to work on cutting edge technologies with the top talent in the field.
Competitive compensation package.
Snacks, lunches and fun activities.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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AI Engineer (RWA) - Shenzhen based

Hyphen Connect Limited · Shenzhen

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Engineering Hong Kong Posted Apr 22, 2026

Summary: We are seeking an AI Engineer to join an innovative team in Shenzhen. This role involves developing cutting-edge AI solutions to support our next-generation Layer 1 blockchain project, focusing on institutional adoption and the tokenization of real-world assets. The AI Engineer will play a critical role in designing and implementing AI models that bridge traditional Web2 institutions into Web3.

Responsibilities:

Design and develop AI algorithms and models to support blockchain infrastructure.
Collaborate with cross-functional teams to integrate AI solutions into blockchain applications.
Analyze and interpret complex data sets to enhance decision-making processes.
Implement machine learning models to improve blockchain scalability and efficiency.
Ensure AI solutions comply with regulatory and security standards.
Stay updated with the latest AI and blockchain technologies.

Required skills:

Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
Proven experience in AI and machine learning model development.
Strong programming skills in languages such as Python, R, or Java.
Familiarity with blockchain technology and decentralized applications.
Ability to work collaboratively in a fast-paced, dynamic environment.
Excellent problem-solving and analytical skills.
Proficiency in English and Mandarin is required.

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Head of AI Innovation - Shenzhen

CASETiFY · Shenzhen

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Tech (HKHQ) China - Shenzhen Posted Apr 10, 2026

Purpose of Position

The Head of AI Innovation will be responsible for driving the exploration, development, and adoption of AI capabilities across the organization, with strong focus on large language models, data science, machine learning, and applied algorithms to solve real business problems. The incumbent will identify high-value AI opportunities, lead technical experimentation, and translate innovation into scalable enterprise solutions that enhance productivity, customer experience, and decision-making.
The incumbent will collaborate closely with business stakeholders, product, engineering, data, security, and external partners to shape the AI roadmap, establish practical use cases, and build a strong foundation for responsible, scalable, and business-aligned AI innovation in a fast-paced and dynamic environment.

Job Description

Lead the AI innovation strategy, roadmap, and execution across the organization, identifying high-impact opportunities where AI, machine learning, and advanced analytics can create measurable business value.
Drive the research, evaluation, prototyping, and scaling of AI solutions with strong focus on LLMs, data science, and algorithmic approaches for both internal productivity and customer-facing use cases.
Partner with business leaders and cross-functional teams to define problem statements, assess feasibility, prioritize use cases, and convert opportunities into executable AI initiatives.
Provide strong technical leadership in model selection, prompt engineering, retrieval-augmented generation, fine-tuning approaches, evaluation methodology, and AI solution architecture.
Lead the design and implementation of AI and data science solutions including forecasting, recommendation, personalization, search relevance, classification, anomaly detection, and optimization use cases.
Work closely with data, engineering, and platform teams to ensure AI solutions are production-ready, secure, scalable, maintainable, and integrated into enterprise systems and workflows.
Establish standards and best practices for experimentation, model evaluation, benchmarking, monitoring, governance, and continuous improvement across AI initiatives.
Ensure responsible AI adoption by partnering with security and technology leadership on data privacy, access control, model risk awareness, and policy alignment.
Evaluate and manage external vendors, technology partners, and emerging tools where relevant to accelerate innovation and delivery outcomes,
Build, mentor, and lead a high-performing AI innovation team, fostering a culture of experimentation, technical excellence, business understanding, and continuous learning.
Communicate AI strategy, use case value, and technical direction clearly to both technical and non-technical stakeholders, including senior leadership.
Elevate CASETiFY’s AI capabilities and employer branding to attract top talents in AI, data science, and advanced engineering.

Requirements

Strong hands-on experience in LLMs, machine learning, data science, and algorithm development, with practical experience in building business-focused AI solutions.
Solid technical expertise in generative AI, prompt engineering, retrieval-augmented generation, fine-tuning approaches, and model evaluation for enterprise use cases.
Strong foundation in statistics, machine learning methods, predictive analytics, and data-driven problem solving.
Strong algorithmic thinking with experience in designing analytical, optimization, or decision-support solutions for real business scenarios.
Experience in developing end-to-end AI or data science solutions from ideation, experimentation, and validation through to deployment and business adoption.
Strong understanding of data pipelines, model lifecycle, experimentation frameworks, MLOps practices, and integration with enterprise applications and workflows.
Hands-on coding proficiency in Python and familiarity with common AI, machine learning, and data science frameworks and tools.
Ability to balance innovation with practicality, and translate technical possibilities into scalable business value.
Excellent stakeholder management with strong business acumen and the ability to work across multiple business units and technology functions.
Experience in leading or mentoring technical teams including AI engineers, data scientists, machine learning engineers, or related talent.
Strong communication and presentation skills, with the ability to explain complex AI concepts to technical and non-technical audiences.
Known for promoting best practices, technical rigor, and responsible innovation.
At least 8 years of relevant working experience in AI, data science, machine learning, advanced analytics, or related technology roles, with leadership experience preferred.
Previous experience in eCommerce, retail, customer experience, digital products, or operational analytics is highly preferred.
Experience with cloud AI platforms, modern data ecosystems, and model deployment frameworks is preferred.
Proficient in spoken and written Chinese and English.

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Senior Product Manager - Shenzhen

CASETiFY · Shenzhen

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Tech (HKHQ) China - Shenzhen Posted Apr 10, 2026

Purpose of Position

The Senior Product Manager, Supply Chain Management will be responsible for driving the product strategy, roadmap, and execution of supply chain technology solutions that support planning, inventory, fulfillment, logistics, and operational excellence across the organization. The incumbent will work closely with business, operations, engineering, data, and external partners to deliver scalable and impactful product capabilities that improve efficiency, visibility, and decision-making.
The incumbent is expected to bring strong domain knowledge in supply chain management together with practical experience in AI, data science, and advanced analytics to identify high-value opportunities, optimize workflows, and introduce innovative product capabilities that enhance forecasting, exception management, productivity, and business performance.

Job Description

Define and drive the product vision, roadmap, and backlog for supply chain management products and capabilities, covering areas such as demand planning, inventory management, replenishment, order orchestration, fulfillment, warehousing, logistics, and supply chain visibility.
Partner closely with business stakeholders, supply chain operations, planning, sourcing, logistics, customer service, and technology teams to gather requirements, define priorities, and translate business needs into scalable product solutions and technical specifications.
Lead end-to-end product lifecycle management from discovery and business case development through solution design, delivery, testing, rollout, adoption, and continuous improvement.
Identify pain points and improvement opportunities across supply chain workflows, and develop product enhancements that improve service level, inventory health, speed, cost efficiency, operational control, and customer experience.
Drive AI-enabled product initiatives in the SCM domain, including demand forecasting, replenishment optimization, allocation logic, anomaly detection, exception management, intelligent recommendations, and LLM-based productivity or decision-support use cases.
Work closely with engineering, architecture, data, and analytics teams to ensure SCM products and AI capabilities are scalable, reliable, secure, and well integrated with enterprise platforms such as ERP, OMS, WMS, TMS, and reporting solutions.
Collaborate with data science and analytics teams to define use cases, evaluation methodologies, performance measures, and measurable business outcomes for AI and algorithm-driven product capabilities.
Develop strong product requirements, user stories, process flows, KPI definitions, and success metrics to ensure clarity of scope, strong alignment, and measurable delivery outcomes.
Prioritize product backlog based on business impact, operational urgency, feasibility, technical dependencies, and resource availability, while balancing short-term fixes with long-term platform value.
Monitor product performance through data, operational metrics, and user feedback, and continuously refine solutions to improve adoption, process efficiency, and business value.
Support change management and user adoption by working with stakeholders on rollout planning, training, communications, process redesign, and operating model alignment.
Contribute to building a strong product culture through structured thinking, collaboration, user-centric design, and data-driven decision-making.

Requirements

Strong product management experience with proven track record in supply chain management, operations technology, or enterprise platforms supporting supply chain workflows.
Solid understanding of supply chain processes including demand planning, inventory management, order fulfillment, warehousing, logistics, and exception handling.
Experience in managing digital products or platforms in SCM-related domains such as ERP, OMS, WMS, TMS, planning systems, or related operational systems.
Practical experience with AI, data science, machine learning, or algorithm-driven solutions, especially in business use cases such as forecasting, optimization, recommendation, anomaly detection, or intelligent workflow automation.
Good understanding of how AI and LLM technologies can be applied to supply chain use cases, including decision support, knowledge access, workflow productivity, and operational insights.
Strong analytical and problem-solving skills with the ability to translate complex operational challenges into structured product solutions.
Experience in defining product roadmap, writing business requirements, managing backlog, and working closely with engineering and data teams in agile delivery environments.
Strong stakeholder management with the ability to work effectively across operations, planning, logistics, sourcing, customer service, technology, and leadership teams.
Able to balance strategic thinking with hands-on execution and detail management.
Strong communication and presentation skills with the ability to explain product concepts and technical ideas clearly to both technical and non-technical stakeholders.
Known for promoting structured product thinking, user-centric design, and data-driven decision-making.
At least 6-8 years of relevant working experience in product management, supply chain technology, or related digital transformation roles.
Experience in eCommerce, retail, omnichannel, or fast-paced consumer business environments is highly preferred.
Experience working with cross-functional teams in multicultural environments is a plus.
Bachelor’s degree in business, Supply Chain, Engineering, Computer Science, Data Science, or related disciplines; advanced degree is a plus.
Proficient in spoken and written Chinese and English.

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AI Engineer (Shenzhen/ English speaking)

Hyphen Connect Limited · Shenzhen

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Engineering APAC Posted Apr 9, 2026

We are looking for a AI Engineer to join a Shipping SaaS Platform. This isn’t just a "prompt engineering" role—you will work at the intersection of deep mathematics and production-grade engineering to build, optimize, and scale LLM-powered systems that solve tangible problems. Reporting to manager based in the US.

What You’ll Do

Design and ship end-to-end AI solutions powered by the latest Large Language Models.
Use your background in mathematics and optimization to make our models faster, smarter, and more efficient.
Build robust pipelines for fine-tuning and evaluating models at scale.
Rapidly prototype via prompt engineering and tuning to find the best path forward.
Keep us at the cutting edge by integrating the latest NLP and LLM breakthroughs.

Your Technical Toolkit

Fluency in Python and deep experience with ML frameworks like PyTorch or TensorFlow.
A solid grasp of algorithms, data structures, and mathematical optimization (convex, gradient-based, etc.).
Experience with vector databases, RAG, embeddings, and cloud-based API deployments.

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Senior Engineer(Shenzhen) - DevOps, Infrastructure Operations and AIOps

CASETiFY · Shenzhen

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Tech (HKHQ) China - Shenzhen Posted Apr 8, 2026

Purpose of Position

The Senior Engineer, DevOps, Infrastructure Operations and AIOps will be responsible for the design, implementation, enhancement, and support of the company’s cloud and infrastructure platforms, deployment pipelines, operational tooling, and service reliability capabilities. The incumbent will work closely with engineering, product, security, and business teams to ensure that technology platforms are stable, scalable, secure, and efficient in supporting business growth.
The incumbent is expected to bring strong hands-on experience in DevOps, infrastructure operations, automation, and production support, together with practical exposure to AIOps capabilities that improve monitoring, incident detection, alerting, troubleshooting, and operational efficiency in a fast-paced and dynamic environment.

Job Description

Design, build, maintain, and optimize infrastructure platforms, DevOps pipelines, and operational tooling to support reliable and scalable technology delivery.
Manage and enhance cloud and on-premise infrastructure environments, including compute, storage, network, access control, backup, disaster recovery, and related platform services.
Build and improve CI/CD pipelines, release automation, environment provisioning, and infrastructure-as-code capabilities to strengthen delivery speed, consistency, and quality.
Work closely with application engineering teams to ensure solutions are deployable, observable, secure, and operationally supportable across development, testing, and production environments.
Support production operations, service monitoring, incident response, root cause analysis, problem remediation, and continuous service improvement.
Implement and maintain observability capabilities including logging, metrics, tracing, dashboards, and alerting to improve system visibility and operational responsiveness.
Drive automation initiatives across infrastructure operations, deployment, configuration management, patching, capacity management, and operational workflows.
Contribute to AIOps use cases including intelligent alert correlation, anomaly detection, predictive monitoring, incident triage support, operational insights, and workflow automation to improve efficiency and reduce manual effort.
Collaborate with security teams to ensure infrastructure and DevOps practices align with security, compliance, vulnerability management, and access governance requirements.
Support system resilience through backup, recovery planning, failover readiness, and disaster recovery testing.
Work with third-party vendors and service providers where required to maintain service quality, issue resolution, and platform stability.
Document infrastructure standards, runbooks, procedures, and best practices to strengthen team knowledge sharing and operational consistency.

Requirements

Strong hands-on engineering experience in DevOps, infrastructure operations, site reliability, or platform engineering roles.
Good understanding of cloud infrastructure, network fundamentals, system administration, environment management, backup and recovery, and operational support practices.
Solid experience with CI/CD, infrastructure as code, configuration management, scripting, automation, and deployment tooling.
Experience in production support, incident management, troubleshooting, root cause analysis, and operational improvement in business-critical environments.
Strong understanding of observability and monitoring practices including logs, metrics, tracing, dashboards, and alerting.
Practical experience with AIOps, intelligent operations tooling, or AI-enabled monitoring and automation capabilities is preferred.
Familiarity with applying AI or machine learning concepts in operations use cases such as anomaly detection, event correlation, incident prediction, intelligent alerting, and workflow automation is a plus.
Good understanding of infrastructure security, access control, patching, vulnerability management, and compliance requirements.
Experience working with engineering teams in agile and fast-paced delivery environments.
Strong problem-solving skills with the ability to troubleshoot across infrastructure, platform, deployment, and application support layers.
Known for promoting automation, operational excellence, reliability, and engineering best practices.
At least 5-8 years of relevant working experience in DevOps, infrastructure engineering, platform operations, or related technology roles.
Experience in eCommerce, retail, or high-transaction consumer-facing environments is a plus.
Experience in multicultural and fast-paced organizations is preferred.
Strong communication and collaboration skills.
Proficient in spoken and written Cantonese and English.

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Senior Mobile Developer (高级移动开发工程师)

CASETiFY · Shenzhen

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Engineering Team China - Shenzhen Posted Apr 2, 2026

职位介绍

职位描述

1. 负责公司工业级可穿戴设备（AI眼镜）端应用的架构设计、开发与维护，覆盖 Android 与 OpenHarmony / HarmonyOS NEXT 双平台；

2. 主导核心功能模块开发，包括：第一视角音视频采集、语音交互、AR信息叠加、远程协作、离线AI推理集成等；

3. 跟踪鸿蒙生态演进，评估新技术（如分布式能力、Stage 模型、ArkTS 响应式框架）在工业场景的落地价值。

4. 实现蓝牙/Wi-Fi P2P 双通道通信，稳定传输第！视角视频流、语音指令与标注数据；

5. 优化弱网、强电磁干扰等工业现场环境下的 App 稳定性与续航表现；

6. 与产品经理、算法工程师、AR 设计师紧密协作，打磨符合行业作业规范的交互体验。

职位描述:

功能开发：使用 Flutter 框架开发和部署 iOS 及 Android 平台的高质量功能。
UI/UX 实现：将 Figma 设计稿转化为像素级还原、流畅且响应迅速的移动端界面。
性能优化：识别并修复性能瓶颈和 Bug，确保应用在不同设备和网络环境下都能提供特别的体验。
架构维护：参与架构讨论，维护清晰、可扩展且可测试的代码库（熟悉状态管理、依赖注入等）。
系统集成：负责与 RESTful APIs、GraphQL 以及第三方 SDK（支付网关、分析工具等）的无缝集成。
跨团队协作：在敏捷（Agile）开发环境下，与深圳和香港的跨职能团队协作，定义、设计并发布新功能。
代码质量：编写单元测试和集成测试，保持高标准的工程水平。

职位要求:

本科及以上学历，计算机、软件工程或相关专业，3 年以上 Android 开发经验；
精通 Kotlin，熟悉 Android Jetpack 组件（ViewModel, Room, WorkManager 等）；
有蓝牙（BLE）、Wi-Fi P2P 或 Socket 通信开发经验，理解低延迟数据传输机制；
熟悉多线程、内存优化、ANR/崩溃分析等性能调优手段；
具备良好的工程素养：Git 规范、单元测试、CI/CD 流程意识；
能快速阅读英文技术文档，具备独立解决问题能力。

软性素质：

学习能力：能快速理解新技术并应用于实践（如AIGC、Agent技术）。
逻辑思维：擅长抽象问题建模，能从数据中挖掘潜在规律。
沟通能力：清晰传递技术方案，协调多方资源推进项目。
创新意识：对技术突破有强烈兴趣，有顶会论文或开源项目加分。
加分项（满足任意一项即可优先考虑）：
熟悉 OpenHarmony 驱动层（HDF）或 Native C++ 开发（NDK / NAPI）；
有 Rokid、XREAL、雷鸟、INMO 等 AR 智能眼镜开发经验；
熟悉 Rokid CXR-M / CXR-S SDK 或类似硬件控制 SDK；
有工业、能源、电力、IoT 或 B 端 SaaS 项目背景；
了解 OpenCV、TensorFlow Lite、ML Kit 等移动端 AI 推理框架；
对 AR UI/UX、语音交互、离线架构有实践经验。

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Software Engineer - AI Powered Rapid Development Lab

Hyphen Connect Limited · Shenzhen

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Engineering APAC Posted Apr 9, 2025

About Us:

We’re a fast-moving, AI-leveraged rapid prototyping lab creating innovative products in martech, fintech, web apps, websites, crypto, and more. Our developers are the backbone of our mission to build and iterate at speed, delivering solutions that blend cutting-edge tech with real-world impact.

Job Summary:

As a Software Developer, you’ll build and iterate on prototypes and MVPs across our diverse product stack. Working closely with product managers and marketing professionals, you’ll leverage AI tools and frameworks to deliver scalable, secure, and high-performance solutions in a rapid development environment.

Key Responsibilities:

Utilize AI-driven development tools like Cursor, GitHub Copilot, Replit AI, or Tabnine to streamline coding, debugging, and iteration on prototypes.
Develop and maintain web apps, websites, and backend systems using modern frameworks (e.g., React, Node.js, Python, etc.).
Integrate AI/ML models into products (e.g., recommendation systems for martech, fraud detection for fintech).
Build and test smart contracts or blockchain-based features for crypto-related projects.
Optimize code for performance, scalability, and security in cloud environments (e.g., AWS, Azure).
Contribute to architecture decisions and adopt best practices in an agile, iterative workflow.

Qualifications:

Familiarity with AI-driven development tools (e.g., code generation, automated testing) is a must.
2+ years of software development experience, with proficiency in at least one modern stack (e.g., JavaScript, Python, Go, Rust). Fresh Graduates with relevant experience leveraging AI tooling will be considered.
Experience with REST APIs, databases (SQL/NoSQL), and cloud platforms.
Familiarity with AI/ML integration (e.g., TensorFlow, PyTorch, or API-based AI services).
Knowledge of blockchain development (e.g., Solidity, Rust, Move) is a plus but not a must.
Strong problem-solving skills and ability to thrive in a fast-paced, prototype-driven setting.
Bonus: Experience in martech (e.g., adtech APIs), fintech (e.g., payment gateways), or crypto.

#LI-REMOTE

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