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

About The Opportunity 

At Teads, we are redefining the future of advertising through premium media experiences, cutting-edge technology, and data-driven innovation. As we continue to expand our presence in China, we are looking for a commercially driven and relationship-oriented Senior Sales Manager to join our growing team in Shenzhen.

This role is ideal for someone who thrives in a fast-moving digital advertising environment, understands the China agency ecosystem deeply, and has established relationships with key agency groups, trading desks, and brand decision-makers.

You will play a critical role in driving revenue growth, building strategic partnerships, and positioning Teads as a trusted partner across branding, video, native advertising, and CTV solutions.

If you are entrepreneurial, consultative in your sales approach, and excited by the evolving AdTech landscape, we’d love to speak with you.

What will you do? 

• Build and strengthen long-term relationships with media agencies, trading desks, and direct advertisers across China.
• Identify, develop, and convert new business opportunities to drive sustainable revenue growth.
• Act as a strategic consultant to clients by understanding their business objectives and recommending tailored media solutions.
• Deliver compelling sales presentations and pitches that clearly communicate Teads’ value proposition.
• Collaborate closely with internal cross-functional teams including Account Management, Creative Studio, Insights, Product, and Ad Operations to deliver best-in-class campaign execution.
• Stay informed on market trends, competitive landscape, and evolving client needs within the China digital advertising ecosystem.
• Drive pipeline management, forecasting accuracy, and achievement of individual sales targets.
• Represent Teads externally at client meetings, industry events, and networking opportunities.

What will you bring to the team? 

• 5+ years of experience in digital media sales, AdTech, online advertising, or agency partnerships within the China market.
• Strong network and established relationships with key media agencies and decision-makers across China.
• Solid understanding of the digital advertising ecosystem, including programmatic, branding solutions, video, native advertising, and CTV.
• Proven ability to develop strategic sales plans and execute against revenue targets.
• Strong consultative selling and stakeholder management skills.
• Confident communicator and presenter with the ability to influence both internal and external stakeholders.
• Analytical mindset with the ability to leverage campaign data and market insights to drive business decisions.
• Self-motivated, adaptable, and comfortable operating in a fast-paced and evolving environment.
• Collaborative team player with strong cross-functional communication skills.
• Experience selling native advertising and/or CTV solutions will be highly advantageous.
• Fluent Mandarin is required. Professional English communication skills are preferred.

Job Description

• Design, develop, maintain, and optimize scalable data pipelines and integration workflows across CASETiFY’s core business systems and data platforms.
• Build and support data ingestion, transformation, validation, and delivery processes for structured and semi-structured data from multiple source systems.
• Work closely with BI, analytics, and business stakeholders to understand reporting and analytical needs and translate them into reliable data engineering solutions.
• Develop and maintain curated datasets, data models, data marts, and reusable data assets to support business intelligence, operational reporting, self-service analytics, and management dashboards.
• Support data integration across key systems such as eCommerce platforms, ERP, OMS, WMS, CRM, marketing systems, finance systems, customer operations platforms, and other enterprise applications.
• Ensure data pipelines and datasets are accurate, complete, timely, and well governed through strong engineering practices, validation controls, monitoring, and reconciliation mechanisms.
• Collaborate with product, engineering, and platform teams to ensure data solutions are scalable, secure, maintainable, and aligned with enterprise architecture and business priorities.
• Support the implementation of data quality standards, metadata management, lineage, documentation, and data governance practices.
• Monitor and troubleshoot pipeline failures, data issues, and performance bottlenecks, and drive timely resolution and continuous improvement.
• Improve engineering efficiency through automation, standardization, reusable frameworks, and best practices in data development and deployment.
• Support the enablement of AI, machine learning, and advanced analytics use cases by preparing high-quality and sustainable data foundations
• Participate in data platform enhancement, architecture discussions, release activities, and cross-functional delivery planning while maintaining clear technical documentation and operational procedures.

Requirements

• Solid hands-on experience in data engineering, ETL / ELT development, and enterprise data integration.
• Good understanding of data warehousing, data modeling, pipeline orchestration, data transformation, and data lifecycle management.
• Practical experience in building and maintaining data pipelines for analytics, reporting, and operational use cases.
• Strong SQL skills and hands-on experience with modern data platforms, cloud data environments, and related engineering tools.
• Experience working with structured and semi-structured data from multiple business systems and platforms.
• Good understanding of data quality controls, reconciliation, validation, monitoring, and troubleshooting practices.
• Experience in supporting BI and analytics use cases through curated datasets, semantic consistency, and well-structured data models.
• Familiarity with version control, automation, deployment processes, and engineering best practices in data environments.
• Good problem-solving and analytical skills with the ability to identify data issues and translate business needs into structured technical solutions.
• Able to work collaboratively with BI, analytics, engineering, product, and business stakeholders in cross-functional environments.
• Known for promoting reliability, data accuracy, structured thinking, and continuous improvement.
• At least 4-6 years of relevant working experience in data engineering, data platform development, or related roles.
• Experience in eCommerce, retail, omnichannel, supply chain, finance, or other data-intensive environments is preferred.
• Familiarity with enabling data foundations for AI, machine learning, or advanced analytics is a plus.
• Experience in multicultural and fast-paced environments is preferred.
• Happy to work in a buzzing multicultural environment, with proficient spoken and written English; Chinese is a plus.

Purpose of Position

• The Machine Learning Engineer, AI Applications will be responsible for supporting the design, development, testing, and deployment of AI-powered applications that improve business efficiency, customer experience, and decision-making across CASETiFY. The incumbent will work closely with AI engineers, data scientists, product managers, software engineers, and business stakeholders to build practical and scalable AI solutions in a fast-paced and dynamic environment.
• The incumbent is expected to bring solid technical foundations in machine learning, data processing, and software development, with strong interest in applied AI use cases such as large language model applications, intelligent automation, recommendation, classification, and predictive analytics. This role will contribute to experimentation, solution development, and continuous improvement of AI applications across the organization.

Job Description

• Support the development, testing, and deployment of AI applications for internal productivity, customer experience, and business process optimization.
• Work closely with AI engineers, data scientists, product managers, and software engineers to translate business problems into practical AI solutions.
• Assist in building and improving machine learning and AI workflows, including data preparation, feature engineering, model integration, evaluation, and monitoring.
• Contribute to AI application development using machine learning models, LLM APIs, prompt engineering, retrieval-based approaches, and related technologies where appropriate.
• Support the implementation of AI use cases such as intelligent search, chatbot or assistant experiences, recommendation, text classification, content generation, anomaly detection, and workflow automation.
• Help prepare, clean, validate, and transform data for model development, experimentation, and application integration.
• Participate in model evaluation, experiment tracking, result analysis, and continuous tuning to improve solution quality and business relevance.
• Collaborate with software engineering teams to integrate AI capabilities into enterprise systems, digital products, and internal tools.
• Support the setup of development workflows, testing approaches, and basic MLOps practices to improve reproducibility, maintainability, and deployment quality.
• Assist in monitoring model and application performance, identifying issues, and supporting troubleshooting and improvement activities.
• Document technical approaches, assumptions, findings, and implementation details to support knowledge sharing and delivery continuity.
• Stay informed on emerging AI, machine learning, and LLM trends, tools, and best practices relevant to business applications, and contribute positively to team culture through ownership, curiosity, collaboration, and continuous learning.

Requirements

• Solid foundation in machine learning, statistics, data processing, and software engineering principles.
• Hands-on experience in Python and familiarity with common ML or AI libraries and frameworks used in practical development.
• Good understanding of applied machine learning workflows including data preparation, model training, evaluation, inference, and performance tracking.
• Exposure to AI application development such as LLM-based solutions, prompt engineering, retrieval-augmented workflows, recommendation, classification, or predictive analytics is preferred.
• Familiarity with APIs, backend integration, data pipelines, and application development concepts is a plus.
• Basic understanding of cloud environments, model deployment, version control, and MLOps concepts is preferred.
• Good problem-solving and analytical skills with the ability to learn quickly and work on practical business use cases.
• Able to work collaboratively with cross-functional teams including product, engineering, data, and business stakeholders.
• Good communication skills with the ability to explain technical concepts clearly and work effectively in team environments.
• Strong sense of ownership, curiosity, and willingness to learn new tools, frameworks, and technologies.
• Known for promoting quality, collaboration, and continuous improvement.
• 2-3 years of relevant working experience in machine learning, AI engineering, data science, software engineering, or related technical roles.
• Internship or project experience in AI applications, machine learning solutions, or LLM-related work will be an advantage.
• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, or related disciplines.
• Experience in e-commerce, retail, digital products, or customer-facing environments is a plus.
• Happy to work in a buzzing multicultural environment, with proficient spoken and written English; Chinese is a plus.

We are looking for innovative, experienced sales individuals with extraordinary energy, passion, and initiative to drive partner awareness and channel new business for the fastest growing database in the world, MongoDB.

The Manager of Cloud Partners role owns all the sales and channels related to our MongoDB as a Service partnerships in the region. These partnerships exist today with Alibaba cloud, Tencent cloud and AWS China and may expand to other partners.

This individual will be accountable for developing a strategy to generate an incremental sales pipeline with the cloud partners, increasing their efficiency via sales and technical enablement, joint marketing, post-sales support, and demonstrating to them how to sell the value of MongoDB.

We are looking to speak to candidates who are based in Shanghai , Beijing and Shenzhen for our hybrid working model.

Responsibilities

• Run Cloud Partner relationships in the China Area with a direct reporting line to the Regional Director of Mainland China
• Build and execute go to market programs (co-selling and co-marketing) with Cloud Partners
• Drive enablement and field alignment activities to deliver incremental MongoDB revenue with Cloud Partners
• Own New ACV quota & pipeline creation goal for Cloud Partner’s MongoDB as a Service business in the region
• Proactively helping prospect, identify, qualify, and develop a sales pipeline with the Cloud Partner’s regional sales teams
• Provide both business and technical expertise to the Cloud Partners to help them sell the value of MongoDB
• Interlock with MongoDB’s Global Partner team, Pre-sales, Post-sales, and Marketing support
• Participate in our sales enablement training, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

Requirements

• BA/BS required
• 5+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on new business
• Technically knowledgeable in the enterprise software and cloud computing space
• At least 5 years generating pipeline and selling in the Cloud/Database/IaaS space working with companies like Alibaba, Tencent, AWS, & Baidu
• Proven ability to articulate the business value of complex enterprise technology
• A track record of overachievement and hitting sales targets
• Skilled in building business champions and running a complex sales process
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, DevOps, and open source technology a plus
• Skilled in managing time and resources; sound approach to qualifying opportunities
• Possess aptitude to learn quickly and establish credibility. High EQ and self-aware
• Must live in territory China (BJ, SH, and SZ)
• English and Chinese speaking
• Passionate about growing your career in the largest market in software (database) and developing and maintaining an in-depth understanding of MongoDB products

Our Benefits

• Competitive salary and equity
• Comprehensive Health cover, dental cover, travel insurance & Life Insurance
• 20 weeks of Paternity and 26 weeks of Maternity leave to spend time with new arrivals
• MongoDB provides employees and their families 24-hour access to an Employee Assistance program

Our Core Value

• Think Big, Go Far: We are big dreamers with a passion for creativity. We eagerly pursue new opportunities and markets through innovation and disruption
• Make It Matter: We are relentless in our pursuit of a significant impact. We think strategically and are clear on what we are and are not trying to do
• Build Together: We achieve outstanding things by connecting and demonstrating the diversity of skills, experiences, and backgrounds of our entire organization
• Embrace the Power of Differences: We commit to crafting a culture of inclusion by seeking and valuing employees from different backgrounds and circumstances. This is cultivated by learning from and respecting each other’s differences
• Be Intellectually Honest: We embrace reality. We apply high-quality thinking and rigor. We have courage in our convictions but work hard to ensure biases or personal beliefs do not get in the way of finding the best solution
• Own What You Do: We take ownership and are accountable for everything that we do. We empower and are empowered to make things happen, and balance independence with interdependence

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 425322

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

Role Summary

As a Sales Intern in Payoneer’s Business Development team, you will be part of a high impact, fast-growing commercial organization driving Payoneer’s expansion in China. This internship is designed as an early career pathway for developing future sales talent.‑impact, fast‑growing commercial organization driving Payoneer’s expansion in China. This internship is designed as an early‑career pathway for developing future sales talent

You will gain first-hand experience in commercial engagement, customer management, and go to market execution in the fast-growing cross-border business. In this role, you will work closely with sales managers and sales admins across regions, explore new technologies, build strong presentation and communication capabilities, and develop practical skills that prepare you for a successful career in fintech sales.‑to‑market execution

What You’ll Do

• Support BD and Sales Managers in commercial activities, including customer outreach, follow-ups, and engagement initiatives
• Participate in customer meetings, onsite visits, and business reviews to understand operational needs and Payoneer’s value proposition
• Conduct analysis of sales pipelines, customer performance, and market trends to support decision-making
• Assist with preparing presentation materials, product demos, and business proposals
• Collaborate with cross‑functional teams (Marketing, Product, Risk, Operations) to help execute GTM campaigns
• Help identify new business opportunities, potential customer segments, and growth initiatives
• Explore and understand emerging tools, AI technologies, and digital sales methodologies
• Handle day‑to‑day operational tasks related to customer handling and sales processes (without assistant labeling; full ownership encouraged)
• Contribute to internal documentation, reports, and workflow improvements for the sales team

Who You Are

• Currently enrolled university student who will graduate before September 2027 (senior undergraduate or current graduate student preferred)
• Curious, proactive, and willing to experiment in a fast‑changing environment
• Strong communication and presentation skills; comfortable engaging with customers
• A fast learner with interest in fintech, cross‑border eCommerce, or digital technologies
• Analytical mindset with basic data skills (Excel, Sheets, BI tools are a plus)
• Detail‑oriented, organized, and capable of managing multiple tasks independently
• Strong sense of ownership and a collaborative team player
• Able to commit to a 3–6 month internship (preferred)

Here are some of the EXCITING things you’ll get to do: 

• Team sport to Deliver 5 star product to consumer 

• You can design any product you want in SharkNinja 

• Pursue and provide creative idea for product 

• Communication with transnational team to achive better results for issues 

• Make things better with detail research 

• Drive incremental change 

• Challenge and be challenge 

• Improve yourself by training, lesson learn and so on 

ATTRIBUTES & SKILLS: 

Responsibilities: 

• Professionally design and develop innovative design solutions and products in a fast-paced team environment. 

• Provide solid modeling and prototype support on technology development and new product development projects. 

• Using sound engineering principles refine concepts into reliable designs that meet performance, compliance, product integrity and aesthetic requirements. 

• Design for manufacturability, for China production environments. 

• Generate part specifications, including detailed drawings and specifications. 

• Communicate design to team members and China factories. 

• Perform product prototyping and testing, write test requests and obtain quotes from internal and external sources. 

• Support continuous improvement of existing products. 

Experience required:   

• Around 5-8 years’ experience in product development in high volume consumer products, Mobile Robotic products preferred. 

• 3D CAD proficiency, design experience in multiple processes such as: plastic injection molding, die-casting, sheet metal, machining processes, and assembly processes. 

• Experience working effectively in a cross-functional team environment is essential. 

• Good knowledge of Design processes, including DFME, FEA, DFM etc. 

Education background required:  

BS in Mechanical Engineering, Electrical Engineering, Robotics or Mechatronics 

Functional Skills/Knowledge: 

• Good command of English speaking and writing. 

• Ability to work with flexible adaptable teams and processes that embrace and cope with change and uncertainty. 

• Ability to support at least multiple projects simultaneously. 

• Detail-oriented, versatile, organized, articulate and professional. 

Other Requirements：  

• Traveling to supplier factory / staying in factory is required 

• Occasional international travel to visit suppliers or other SharkNinja offices may be required. 

• Ability to work under pressure and work overtime if required at peak project times. 

Here are some of the EXCITING things you’ll get to do:

• Work with new product development team to select the best PCBA architecture for the new product development in R&D Phase.
• Define and develop PCBA requirement of electronics system in R&D Phase.
• Support Design Team to develop robust software control algorithm/logics.
• Work with PCBA supplier to develop PCBA for new product in NPD and NPI phase.
• Review PCBA design for safety, reliability and DFM in NPD and NPI phase to make sure the good design quality.
• Implement systematical problem solving approach to find root cause and make correction plan for all the issues in in NPD and NPI phase.
• Implement Design Verification Test in each EB build to evaluate robustness of PCBA design.
• Review and approve PCBA design documents in NPI and Pilot phase.
• Review and approve PCBA manufacture process and test process in NPI and Pilot phase.
• Provide engineering support to achieve best quality and best cost.

You are Expected:

• Good knowledge of design and verification for power supply, micro processer, sensor, heater and motor control etc.
• Good knowledge and skill to design Schematic, PCB layout circuit simulation and software development.
• Good knowledge of safety design to comply with UL and IEC requirement.
• Good knowledge of electronics component selection and verification.
• Good knowledge of design for reliability, DFMEA, RCA etc.
• Good knowledge of design for manufacture and PCBA manufactures process.
• Good knowledge of EMC design and test.
• Good knowledge of PCBA verification test requirement and procedure.
• Good knowledge of 6 sigma.
• Good skill on reading, writing and oral English communication.
• At least 8+ years work experience in PCBA design and manufacture for home appliance or similar electronics system.
• At least 6 years work experience in circuit design includes both analog and digital circuit.
• At least 3 years work experience of software development with C or assembly language.
• Good experience in PCBA manufacture and testing.

Education/Certifications/Affiliations

• Bachelor degree in electrical engineering or related majors.

Travel Requirements

• Be flexible for domestic and international travel.

The opportunity:

Flexport is a platform for global trade in an industry that comprises 12% of the global GDP.  We are the first licensed freight forwarder and customs brokerage built around a modern tech stack.  We help the world's fastest-growing brands manage their international supply chains, providing a fully-managed service for moving products between any two places on the planet.

Exceptional software development is integral in allowing us to fulfill our mission of fixing the user experience in global trade. At Flexport you’ll develop products that are at the forefront of reshaping the entire logistics & supply chain industries. You’ll work alongside self-starters interested in solving real-world problems and streamlining the inefficiencies in the complex global trade industry. You’ll have the opportunity to reshape an industry by creating the new operating system for global trade.

Our engineers are top-notch software developers who love listening to the users, working as a team, and proactively taking the lead whenever necessary. The role involves learning the business of freight forwarding, modeling the work that people do to move freight, designing solutions to make it more efficient, and thinking innovatively to automate much of it. In this role, you will have an opportunity to own the design and development of key parts of our forwarding systems. You will have influence on subsystem design and help contribute to a team culture around practices that are critical to a quality product. 

About the team:

We have multiple teams in Shanghai and Shenzhen working on a suite of core products and services that enable Flexport operation to scale, including Forwarding Application, Client Application, Shipper Application, WMS, Consol Planning Tool, Document Platform (AI empowered), Email Platform, Compliance Platform, Work Assignment Engine, Exception Management, AI Copilot, Insight Builder (AI Data Analytics) and so on. 

In addition, we have a NAWS (Native AWS) team that develops infrastructure solutions for our products and services using the latest Infrastructure as Code (IaC) technology: CDKTF (Cloud Development Kit for Terraform). Our scope includes, but is not limited to, CI/CD, observability, DevX, data subsetting (TS3), IaC, template engines, and various open-source projects. Additionally, the team provides technical guidance to engineers across the organization.

We are looking for engineers who love learning, are passionate about collaborating, and desire to build solutions with a global impact.

You will:

• Build highly available, secure, distributed systems in a microservice architecture.
• Build cutting edge infrastructure solutions to help improve development experience across the company. And, work closely with other engineering teams to help them solve infrastructure related problems.
• Design, develop, test and maintain systems that represent the real-world intricacies of logistics entities, such as shipper, client, cargo, document, carrier, container, email etc.
• Collaborate with some of the best engineers in the industry to work on complex business and technical problems.
• Work closely with business partners and product managers to distill complex business problems into elegant technical solutions.
• Build and launch products rapidly and incrementally. We ship to production dozens of times per day.
• Ensure our products maintain a high-quality bar. We believe in anticipating issues by obsessing over metrics and applying key learnings from post-mortems to all our services.
• Geek out about shipping and logistics. (We do this often.)

You should have:

Basic Qualifications

• 3+ years of experience writing software, and a strong engineering background.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns (OOA/OOD)
• Knowledge of at least one programming language such as TypeScript, Ruby, C, C++, Java, or Kotlin
• Bachelor's degree in Computer Science or related technical field, or equivalent experience

Preferred Qualifications

• A love of simple, well-tested code that is easy to extend and hard to break.
• A bias for action. When you see a problem, you solve it.
• The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.
• Experience building large scale, high-performance systems in a complex, multi-tiered, distributed environment
• Understanding of performance tradeoffs, load balancing and operational issues
• Knowledge of professional software engineering practices & best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing, and operations
• Experience with Infrastructure as Code (IaC) tools such as CDKTF, Terraform, AWS CloudFormation, or similar.
• Having basic concepts in AWS services, including IAM, EC2, ECS, S3, Lambda, Step Functions, EventBridge, and VPC, or equivalent services from other cloud providers.
• Familiarity with CI/CD pipelines, infrastructure automation, and monitoring/observability tools.
• Ability to troubleshoot and optimize distributed systems and cloud deployments.
• Non-optional: an aptitude for learning quickly.

Engineering Culture and Values:

• Check out our Key Values profile.

#LI-onsite

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Senior Manager, Customer Success – Enterprise

Role summary

Location: Shenzhen, China
On-site 
Full-time

What you’ll do

• Oversee and manage existing e-Commerce client relationships and play an active role in developing and building long-term relationships with top customers to develop value propositions that address client needs.
• Be proactive in strengthening existing relationships and creating new ones to maximize acquisition, retention, and up-sell/X-sell related solutions and services.
• Growing the company’s capability to serve e-Commerce trade and develop the vision and plan to execute a go-to-market strategy, collaborating with the analytics.
• Be accountable for increasing user health, managing day-to-day operations, and scaling the team.
• Effectively work cross-functionally across the organization to shape business solutions to meet customer needs.
• Drive events, below the line activities and represent Payoneer in industry forums to drive awareness.
• Other related duties assigned as needed

Who you are 

• BA Degree or equivalent, master’s degree is a plus
• 5+ years of experience in business development or account management
• 2~3 years of e-Commerce experience is a must
• Exceptional written, presentation, and verbal communication in English and Mandarin
• Have basic data analysis skills and data driven mindset
• Ability to work cross-functionally with different stakeholders at different levels
• Passionate for entrepreneurship, self-motivated, self-disciplined, problem solving, results and detail oriented to grow regional B2B business to grow through current business expansion and to expand with new initiatives
• Language – Fluent in English / Chinese
• MS Office: proficient in PPT / Excel

B2B Exports – Business Development Manager

Role summary- Drive China B2B market expansion through new customer acquisition, partnerships, and cross‑functional collaboration, delivering regional sales growth aligned with global strategy.

Location: Shenzhen, China
On-site 
Full-time

What you’ll do

• Expand business to China B2B market to support company’s annual strategies.
• Execute company’s business development plan by acquiring new customers and accomplishing regional sales target.
• Develop potential partnerships with service providers, industry associations, Medias and affiliates B2B business
• Support and present at marketing events organized by Marketing Department and Business Development Department and attend likewise events in b2b
• Report to Regional Leader of Business Development, China remotely on a regular basis.

Who you are

• Bachelor’s degree and above
• 5+ years’ work experience with 3+ years in eCom relevant industry/function
• Deep understanding of B2B supply chain and international trade
• Demonstrate strong leadership and consistent delivery
• Win through external partnership and internal collaboration
• Work with global teams and leverage multiple resources to get job done

Not a must but a great advantage:

• Experience in online payments
• Experience in B2B eCom platform/service provider/independent site
• Experience to face customers of SMB/industry associations
• Bachelor from renowned university

About the Company

The position is for a silicon-valley based company (Branch Metrics) that specializes in mobile attribution and app discovery. You will be joining an international team developing an in-house SDK used by many OEM phone manufacturers (Xiaomi etc).

About the Role

We are seeking a skilled Android Developer with a strong focus on (QA) to join our mobile engineering team. The ideal candidate has hands-on experience developing Android applications, as well as designing and executing test strategies to ensure high-quality releases. This hybrid role involves both feature development and test automation, ensuring reliability, performance, and a smooth user experience.

Qualifications:

• 3–5 years of Android development experience with a focus on SDKs, libraries, or frameworks.
• Strong proficiency in Kotlin, especially coroutines and Flow.
• Experience with automated testing frameworks (JUnit, Robolectric, Espresso) and mocking libraries(Mockito) .
• Strong debugging skills with tools like ADB, Perfetto, and Android Studio Profiler.
• Experience with Git and CI/CD workflows.
• Extensive experience with Jetpack libraries with Jobscheduler
• Proficiency in reading and written English skills is required as you will need to collaborate with a global team on a daily basis

Nice-to-have:

• SDK development background
• Launcher, AOSP development skills
• Exposure to mobile performance optimization, memory analysis, and ANR mitigation.
• Proficient in speaking English

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.

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.

We are currently recruiting for a Smart Logistics Platform that provides one-stop logistics solutions specifically for online stores and SMEs. By integrating e-commerce support—including warehousing, packaging, and shipping—they have pioneered a Logistics SaaS (Software as a Service) model designed to make shipping as simple and seamless as booking a hotel.

Key Responsibilities:

• Architectural Leadership: Lead the construction and optimization of front-end and back-end services for cross-border e-commerce logistics SaaS products on cloud platforms, ensuring high scalability and availability.

• Core Development: Deeply involve in requirement analysis and architectural design; write core and complex module code while guiding team members through the development lifecycle.

• API Management: Responsible for the design and optimization of RESTful APIs to ensure efficient interaction between third-party logistics services and internal systems.

• Quality Assurance: Lead the development of testing architectures and quality assurance systems, including unit testing, API testing, automated testing, and static code analysis.

• Performance Optimization: Continuously optimize product performance to enhance system response speed, stability, and concurrent processing capabilities.

• Technical Standards: Drive the implementation of technical specifications, ensure code quality meets enterprise standards, and advocate for best practices within the team.

• Mentorship: Mentor and develop junior and mid-level engineers to elevate the overall technical capability and development efficiency of the team.

• Global Collaboration: Work closely with product teams in Hong Kong and globally, participating in technical reviews and cross-regional collaboration.

Job Requirements:

• Education: Bachelor’s degree or above in Computer Science or a related field.

• Experience: 7+ years of software development experience; expert proficiency in TypeScript, Node.js, and React. Proven track record in system architecture and high-performance services.

• Cloud & Infrastructure: Deep understanding of AWS cloud services and distributed architectures; familiar with Docker, containerization, and microservices.

• Database Management: Proficient in PostgreSQL design and optimization with experience in large-scale data processing.

• Problem Solving: Excellent system design and analytical skills, with the ability to lead technical roadmaps and resolve complex technical challenges.

• Soft Skills: Strong self-learning abilities, teamwork, and communication skills; able to collaborate effectively within a multinational team.

• Industry Context: Experience in Logistics, E-commerce, or SaaS industries is highly preferred. Possess business acumen to bridge the gap between technology and business needs.

• Language: Fluency in English is preferred for seamless communication within an international team environment.

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.

• Design and develop a dependable, scalable, and high-performance car rental indicative pricing and static information system.
• Collaborate with teammates to design and implement car hire/flights system.
• Continuously enhance system design and architecture to maintain simplification and high service performance.
• Establish robust design and engineering principles. And contribute to the team’s success.
• Engage in continuous learning and exploration, aiming to become a foundational member of a growing team.

• Bachelor’s degree or higher in computer science or a related technical field.
• Minimum of 1～2 years of experience in backend system development.
• Demonstrated expertise in Java or Python programming languages.
• Experienced in distributed computing and cloud computing-related technologies, including microservices, containerization technology(Docker), and cloud service platforms(AWS).
• Experienced in at least one type of relational or non-relational database. Skilled in SQL language.
• Excellent communication skills and the ability to collaborate effectively with diverse teams and individuals.
• Exceptional ability to learn quickly, comprehending domain knowledge swiftly within a short timeframe.

• Bonus points:
• Experienced in Kubernetes.
• Experienced in frontend framework development, such as React.

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