The Impact You’ll Be Contributing to Moloco:

Moloco’s Growth Data Science team leverages data and experimentation to uncover growth opportunities for our customers — helping them acquire more valuable users at a lower cost. As a Team Lead, you will manage and mentor a team of data scientists while also taking on hands-on data science work - providing the opportunity to both shape team strategy and stay close to customer impact.

This team focuses on supporting gaming companies in China, working directly with premium clients to optimize their user acquisition campaigns and scale their growth with Moloco’s machine learning–powered advertising platform.

What You’ll Do

Team Leadership:

• Lead, coach, and develop a team of high-performing data scientists, fostering growth in both business and technical know-how.
• Set priorities, review work quality, and ensure impactful delivery aligned with Moloco and client objectives.
• Collaborate closely with global stakeholders across Sales, Product, Engineering and Go-To-Market teams to bring customer needs into Moloco’s broader growth and product strategies.

Strategic customer support:

• Partner with Sales teams to develop compelling growth narratives, join client meetings, and present insights to C-level stakeholders at leading gaming companies.
• Design, run, and analyze experiments to support campaign optimization.
• Generate insights and provide actionable recommendations to improve UA efficiency, engagement, and retention for gaming clients.
• Verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.

What We’re Looking For

Minimum Requirements:

• 7+ years of experience in data science, analytics, or related roles, including hands-on use of Python and SQL.
• Proven experience designing and running experiments (A/B testing, causal inference, etc).
• Strong statistics foundation (experimental design, hypothesis testing, regression, time-series analysis).
• Fluent in Mandarin Chinese and English, with excellent communication skills (verbal, written, and presentation).
• Experience working directly with clients, especially in campaign or growth optimization contexts.
• Strong collaborator with experience working across global, cross-functional teams.
• Demonstrated ability to own projects end-to-end and think strategically while executing tactically.
• Master’s degree in a quantitative field (or equivalent practical experience).

Preferred Qualifications:

• Prior people management experience leading technical teams (managing data scientists or analysts).
• Deep familiarity with the gaming industry and user acquisition strategies.
• Willingness to travel occasionally within China to meet with clients.

The Impact You’ll Be Contributing to Moloco:

• Data Science and Analytics (DSA) is a global team of data scientists and analysts. As a Data Scientist, Growth Analytics intern, you will work with data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco.

The Opportunity:

• Moloco Data Scientist, Growth Analytics interns contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models. 
  • Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale.
  • Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.
  • Campaign optimization: engaging in the life cycle of campaigns, from monitoring  daily performance to partnering with sales teams on bespoke analysis for clients.
  • Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth.  

How Do I Know if the Role is Right For Me?

• Current student in a Bachelor's or Master’s program and able to complete an internship of at least 6 months.
• Statistics: must have strong knowledge and experience in experimental design,  hypothesis testing, and various statistical analysis such as regression or time-series analysis.
• Programming: experience in Python and SQL is required.
• Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders..
• Ability to build positive relationships within the data science & analytics community, as well as with our business stakeholders and clients.
• Work effectively with cross-functional and cross-cultural partners.
• Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.
• Ability to manage multiple projects at the same time while paying attention to detail.
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
• Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks.

* This internship is targeted for this summer term or earlier.
* This position does not support work-from-home arrangements.

The Impact You’ll Be Contributing to Moloco:

• Data Science and Analytics (DSA) is a global team of data scientists and analysts. As a Data Scientist, Growth Analytics intern, you will work with data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco.

The Opportunity:

• Moloco Data Scientist, Growth Analytics interns contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models. 
  • Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale.
  • Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.
  • Campaign optimization: engaging in the life cycle of campaigns, from monitoring  daily performance to partnering with sales teams on bespoke analysis for clients.
  • Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth.  

How Do I Know if the Role is Right For Me?

• Current student in a Bachelor's or Master’s program and able to complete an internship of at least 6 months.
• Statistics: must have strong knowledge and experience in experimental design,  hypothesis testing, and various statistical analysis such as regression or time-series analysis.
• Programming: experience in Python and SQL is required.
• Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders..
• Ability to build positive relationships within the data science & analytics community, as well as with our business stakeholders and clients.
• Work effectively with cross-functional and cross-cultural partners.
• Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.
• Ability to manage multiple projects at the same time while paying attention to detail.
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
• Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks.

* This internship is targeted for this summer term or earlier.
* This position does not support work-from-home arrangements.

Realize your potential by joining the leading performance-driven advertising company!

As a Mobile QA Engineer on the Taboola News team in our Beijing Office, you'll play a vital role in ensuring the quality and performance of our content discovery system for global OEMs. You'll drive test plans, collaborate with stakeholders, and proactively tackle challenges to deliver seamless user experiences.

To thrive in this role, you'll need:

• Bachelor's Degree in computer science or a related field.
• 1+ years of experience in APK/API testing, including mobile APK testing with tools like Monkey and ADB, and RESTful API testing with tools like Postman and Charles.
• Device flashing experience and the ability to perform mobile device performance testing.
• Proficiency in developing test cases, executing tests, analyzing results, and submitting accurate bug reports.
• Experience with configuration development using JS/Python/SQL technologies.

Bonus points if you have:

• Proven experience working in the mobile industry with top OEMs.
• CET-6 certification.
• Android app/front end/back end development experience.

How you'll make an impact:

As a Mobile QA Engineer, you'll bring value by:

• Performing thorough testing of APKs/APIs to ensure data accuracy, response times, and overall function reliability.
• Driving test plans, designing test cases, executing tests, and reporting on bugs and errors.
• Collaborating with internal and external stakeholders to improve test assets, processes, and methodologies.
• Performing basic configuration tasks according to OEM requirements.
• Proactively learning new tools, technologies, and environments to tackle challenges.
• Ensuring the delivery of expected quality and performance levels to OEMs.

Why Taboola?
If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about:

• Adam Singolda, Taboola Founder and CEO says; "You can copy anything from another business but you can't copy a company's culture.
• Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MT1

Senior Staff/Staff Machine Learning Engineer-LLM

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the sped we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Summary:

At Coupang, we invest in providing the best product experience for our customers. The AI and Knowledge Engineering team’s mission is to provide the best possible technical solution to achieve the optimal experience for our customers. We innovate and advance the space of Knowledge Graphs, agents, LLMs, AI, ML, NLP, and multi-modal models. We are looking for engineers who want to work on cutting edge technology, that is the intersection of Semantic knowledge bases, agents, NLP, LLM, ML and software engineering. Come join us to help create a world class team advancing the AI/NLP/ML/LLM/RL/Knowledge Graph technologies.

The Role/Responsibilities:

• Work on GenAI, self-learning systems to solve complex eCommerce scenarios.
• Develop statistical models for predictive and compound AI Models
• Train foundational models that can help with building learning systems.
• Define process and experiments for an E2E foundation model.
• Build E2E AI pipelines for storing/servicing foundational models.
• Mentor and guide team members on frameworks, methodologies related to data lakes, data normalization, dimension reduction, visualization, statistical models.
• Ensure Model training is security, compliance aware.
• Collaborate with cross-team members to understand the requirements ensuring the foundational models, knowledge captured aligns with the company’s overall AI strategy.

What you will bring/ Requirements:

• Overall 10+ years of working in software engineering and AI/ML Engineering.
• 4+ years of demonstrated data science, experience in building large scale foundational models for eCommerce scenarios.
• Expertise in large language model fine-tuning and deployment.
• Deep understanding of AI/ML/Deep-learning and statistical model architecture.
• Strong statistical/mathematical background in defining metrics, learning functions and result analysis.
• Significant experience in SQL, Python, PySpark, Scala and R
• Proficiency in PyTorch/TensorFlow, Spark, BigQuery
• Experience in creating complex data visualization tools, frameworks and techniques.
• Experience in dimension reduction in big data.
• Proficient in cloud analytical stacks [ Lakes, warehouse, ETL pipelines]
• Experience with inference platforms in AWS, Azure and other open-source platforms.
• Are result-oriented, with a bias towards customer obsession, flexibility, and impact.
• Strong written and verbal communication and teamwork skills
• Passion for Large language models, NLP, and Machine Learning at scale

Education: B.S, M.S in Computer science or Mathematics, or related field

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.

Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://taou.cn/zlO8

[Applied in Coupang.Jobs] Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team

Senior Staff/Staff Machine Learning Engineer-LLM

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the sped we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Summary:

At Coupang, we invest in providing the best product experience for our customers. The AI and Knowledge Engineering team’s mission is to provide the best possible technical solution to achieve the optimal experience for our customers. We innovate and advance the space of Knowledge Graphs, agents, LLMs, AI, ML, NLP, and multi-modal models. We are looking for engineers who want to work on cutting edge technology, that is the intersection of Semantic knowledge bases, agents, NLP, LLM, ML and software engineering. Come join us to help create a world class team advancing the AI/NLP/ML/LLM/RL/Knowledge Graph technologies.

The Role/Responsibilities:

• Work on GenAI, self-learning systems to solve complex eCommerce scenarios.
• Develop statistical models for predictive and compound AI Models
• Train foundational models that can help with building learning systems.
• Define process and experiments for an E2E foundation model.
• Build E2E AI pipelines for storing/servicing foundational models.
• Mentor and guide team members on frameworks, methodologies related to data lakes, data normalization, dimension reduction, visualization, statistical models.
• Ensure Model training is security, compliance aware.
• Collaborate with cross-team members to understand the requirements ensuring the foundational models, knowledge captured aligns with the company’s overall AI strategy.

What you will bring/ Requirements:

• Overall 10+ years of working in software engineering and AI/ML Engineering.
• 4+ years of demonstrated data science, experience in building large scale foundational models for eCommerce scenarios.
• Expertise in large language model fine-tuning and deployment.
• Deep understanding of AI/ML/Deep-learning and statistical model architecture.
• Strong statistical/mathematical background in defining metrics, learning functions and result analysis.
• Significant experience in SQL, Python, PySpark, Scala and R
• Proficiency in PyTorch/TensorFlow, Spark, BigQuery
• Experience in creating complex data visualization tools, frameworks and techniques.
• Experience in dimension reduction in big data.
• Proficient in cloud analytical stacks [ Lakes, warehouse, ETL pipelines]
• Experience with inference platforms in AWS, Azure and other open-source platforms.
• Are result-oriented, with a bias towards customer obsession, flexibility, and impact.
• Strong written and verbal communication and teamwork skills
• Passion for Large language models, NLP, and Machine Learning at scale

Education: B.S, M.S in Computer science or Mathematics, or related field

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.

Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://taou.cn/zlO8

[Applied in Coupang.Jobs] Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Business Operations Intern 

Role summary - As a Business Operations Intern in the CN & APAC Enterprise team, you will support Enterprise commercial operations and strategic initiatives in CN and APAC regions.

Location: Beijing/Shanghai/Shenzhen, China
On-site
Part-time(Internship)

What you’ll do:

• Support team performance tracking, including KPI monitoring, reporting, and insights generation
• Extract, organize, and analyze data to support business analysis and identify key issues or opportunities
• Assist in building dashboards, reports, and business review materials
• Work closely with team members to support deep-dive analysis on business performance and strategic topics
• Collaborate with cross-functional teams (e.g., Sales, Product, Operations, Marketing) to follow up on internal projects and ensure smooth execution
• Help streamline internal processes and improve reporting efficiency
• Support ad-hoc analysis and operational tasks as needed

Who you are:

• Currently enrolled undergraduate or graduate student (Business, Economics, Data, or related fields preferred)
• Strong English communication skills, both written and verbal, with the ability to work in an international environment
• Basic data analysis skills (Excel required; SQL / BI tools are a plus)
• Strong logical thinking and problem-solving ability; comfortable working with data
• Good communication and coordination skills; able to work with multiple stakeholders
• A proactive, detail-oriented, and responsible team player
• Experience in student organizations, projects, or leadership roles is a plus

Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence—linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust.

As a Product Support Engineer at Conviva, you will serve as the crucial link between Conviva’s clients and the Engineering/Product departments. Your primary responsibility will be to provide expert technical product support, ensuring the satisfaction of Conviva’s expanding client base.

What success looks like:

• Manage and respond to client inquiries and escalations end-to-end, leveraging tools such as JIRA and Salesforce to track, prioritize, and resolve issues efficiently.
• Analyze product usage patterns and translate findings into clear, customer-facing insights.
• Use JIRA to track, analyze, and monitor bug reports, collaborating with cross-functional teams to prioritize and drive resolution.
• Collaborate with Engineering and Product teams to recommend best practices and resolution approaches using available proprietary technology.
• Automate recurring investigations or reporting workflows using scripting (Python preferred).
• Use AI-assisted tools to accelerate log analysis, summarize findings, validate patterns, and improve documentation quality.
• Build deep product expertise by proactively uncovering customer use cases and translating them into actionable recommendations aligned with business outcomes.

Who You Are and What You’ve Done:

• Strong product analysts skills with the ability to investigate product data flows, validate customer-reported issues, and differentiate between configuration errors and system defects.
• Excellent debugging and troubleshooting skills with a structured approach to root cause analysis.
• Experience using JIRA to manage customer escalations and defect tracking.
• Experience with programming languages such as JavaScript or Python (preferred).
• Interest in product analytics and connecting user behavior to business impact.
• Comfortable working in high-velocity, cross-functional environments.
• Curious and eager to learn new technologies, particularly AI-driven analytics and automation tools.
• Participate in an on-call rotation for critical customer escalations.
• Strong spoken english skills to effectively collaborate with global teams and customers.
• BS in CS/Engineering (or related field) with 3–5 years of experience in SQL and scripting (Python preferred).

To learn more about how Conviva can help improve the performance and outcomes of your digital services, visit www.conviva.com 

This is a Next Generation PM Role. AI has fundamentally changed what it means to build software. The best product people no longer just write specs and hand them off—they prototype, ship, and iterate with AI-powered tools at a pace that was unimaginable two years ago. We're looking for someone who has already crossed that line: a product leader who builds, not just plans.

About Conviva Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence—linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust.

The Opportunity AI agents are quickly becoming a new "digital surface" alongside mobile and web. But teams still struggle to answer basic questions: Are my agents working and achieving outcomes? What drives success? How do we optimize behavior, reliability, and user outcomes? How do I launch an agent and have it continuously adapting to the ever-changing world?

Conviva has an industry-leading answer to these questions. This role is a chance to define and lead a brand-new category: analytics and optimization for AI agent experiences, backed by strong platform foundations, real customer problems, and a track record of disruptive innovation.

You won't just manage this product—you'll build it. You'll use AI coding tools to prototype features, validate ideas with working software, and move from insight to artifact faster than any traditional product process allows. You'll work at the intersection of product strategy and hands-on creation, partnering with engineering, design, and go-to-market to ship quickly, learn constantly, and set the direction for where agent analytics goes next.

Why "Product Builder" and Not "Product Manager" The rise of AI-assisted development has created a new kind of product professional—one who can go from customer insight to working prototype in hours, not weeks. We call this role a Product Builder because:

• Build to think: Instead of writing a 20-page spec, you spin up a working prototype to test your hypothesis. Your artifacts are software, not slide decks.
• AI-native workflow: You use AI coding tools as a force multiplier—not to replace engineers, but to close the gap between "idea" and "something customers can react to."
• End-to-end ownership: You own the product from strategy through execution. You don't toss requirements over the wall; you're in the code, in the data, and in front of the customer.
• Still a product leader: This is a PM-first role with builder superpowers. You lead product strategy, customer discovery, and prioritization—and you also ship.

What Success Looks Like

Product Vision & Strategy

• Own product outcomes: defining vision, strategy, roadmap, and success metrics.
• Discover and define the category: talk to customers weekly, map workflows, validate problems, and translate insights into sharp product bets.
• Turn ambiguous, fast-moving market signals into clear product direction with strong conviction.

Build & Ship

• Use AI development tools (Cursor, Claude Code, Windsurf, Replit, v0, etc.) to rapidly prototype concepts, validate UX hypotheses, and create working demos that accelerate team alignment and customer feedback.
• Partner deeply with engineering, design, and data/ML to ship high-quality product experiences from concept to launch to iteration.
• Create internal tools, dashboards, and proof-of-concept applications that solve immediate team or customer needs.

Execution & Leadership

• Drive execution: prioritize ruthlessly, unblock teams, manage tradeoffs, and ensure timely delivery.
• Bridge the gap between product thinking and technical implementation—you should be equally comfortable in a customer interview and reviewing a system architecture.
• Contribute to a culture where building is the default mode of exploration, not just analysis and documentation.

Who You Are

Product DNA

• 5–10+ years in product management, with meaningful experience in analytics, data platforms, developer tools, or AI/ML products.
• Energized by 0→1 ambiguity and can turn fuzzy problems into crisp product direction.
• Customer-obsessed but practical—deep empathy plus strong prioritization.
• Communicate clearly in writing and in live discussions. Can zoom out (strategy) and zoom in (details) without getting stuck in either.
• Build alignment fast and keep teams moving.

Builder DNA

• Actively use AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot, Replit, v0) to build prototypes, internal tools, or production-adjacent artifacts. Show us what you've built.
• Comfortable reading and modifying code (Python, JavaScript/TypeScript, SQL, or similar). You don't need to be a senior engineer—but you can't be code-averse.
• Engineering background, CS degree, or equivalent hands-on technical experience is strongly preferred.
• Experience with or strong interest in: LLM application development, agentic systems, RAG architectures, prompt engineering, or AI evaluation frameworks.
• Have shipped something you personally built (side project, internal tool, prototype, open-source contribution)—not just managed the backlog for.

Bonus Points

• Experience in digital experience analytics, observability, or APM.
• Familiarity with conversation analytics, agent evaluation, or LLM-ops tooling.
• Published writing, talks, or open-source work demonstrating thought leadership at the intersection of product and AI.
• Experience building with AI agent frameworks (LangChain, CrewAI, AutoGen, etc.).

What We Offer

• A front-row seat to a category being created in real time—agent analytics is where web analytics was in 2005.
• A team that values builders: we don't just talk about AI, we use it every day to move faster.
• A hybrid role where you shape both the "what" and the "how"—strategy meets craft.
• Competitive compensation, equity, and benefits.

If you've ever thought "I wish I could just build this instead of writing another PRD"—this role is for you.

Do you enjoy solving complex technical problems?
We’re looking for a technically savvy rock star who understands the value of being customer-oriented, and someone who can actively deliver exceptional support services to our customer base.
The right candidate should be a natural problem-solver and a strong communicator. He/She will work in close collaboration with AppsFlyer’s R&D, Customer Success and Product Teams.He/She will actively engaged in cross department projects and strongly influence the product's evolution by providing viable feedback to advance the future of our product development.

Requirements:

• Passion for solving customer issues in a fast paced environment
• At least 3 years of experience with technical support / QA / data analysis/ development/ technical account management
• Experience in SQL querying and managing data
• Fluent in English
• Structured and process-oriented
• Mature communication skills that can smoothly handle communications between client, internal business teams and R&D teams in headquarter
• Ability to learn new technologies quickly
• Multitasking and ability to work independently

Responsibilities:

• Take end-to-end ownership of customer technical issues, including initial troubleshooting, identification of root cause, and issue resolution and communication.
• Serve as point of contact on customer escalations and ensure customer issues are resolved meticulously.
• Work with AppsFlyer’s R&D and product teams on escalations and product enhancement requests.
• Enrich our client Knowledge Base with relevant technical information.
• Create and lead support improvement processes across the company.
• Provide product feedback and insights to the business and R&D teams.
• Manage various internal projects, such as: training, ensuring support readiness for new feature releases, etc.
• Being a technical account manager for select VIP customers, working closely with the sales and business teams.

Preferred requirements:

• Development or mobile development experience
• Web / mobile marketing and digital advertising experience
• Being recommended by an AppsFlyer team member
• Experience in BI
• Experienced in LLM and AI Agent

As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.

“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO