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Requirements:
Knowledge, Skills & Abilities:
Advanced Excel skills, as well as experience with analyzing datasets and delivering actionable insights
Incredibly data driven, with deep understanding of advertising performance metrics
Proven experience working effectively with cross-functional teams and all levels of management (internally and externally)
Expert understanding of advertising performance metrics
Deep understanding of media management within a biddable auction advertising environment and demonstrated skill in educating others (e.g., advertisers, agencies)
Ability to work in a fast paced environment and adapt to changes
Ability to lead multiple projects with strong attention to detail
Exceptional communication skills; both written and verbal
Exceptional organizational and prioritization skills
Minimum Qualifications:
BS/BA degree in business, communications, marketing, or another related area of study or equivalent years of experience
5+ years proven experience taking complex data and evaluating success metrics to create data stories that drive campaign performance or
5+ years working with clients to understand the brand strategy, product attributes, main competitors, and major issues facing their business while performing in-depth data analysis that deliver both short and long term strategies
Experience in the digital media industry with a focus on performance and brand marketing, ad-tech, programmatic in real-time bidding marketplaces, or a related field
Preferred Qualifications:
Pre-existing relationships with senior-level client decision-makers and brand marketers
Impressive track record of delivering on quota and obtaining positive reviews
A passion for Snapchat as a user and solid knowledge of our ad products.

Requirements:
Shipped and maintained large-scale iOS applications
Experience with hybrid or cross-platform frameworks (React Native, etc.)
Deep understanding of iOS performance optimization
Experience with C/C++, OpenGL, or Metal
Passion for creating smooth, stable, and delightful user experiences.

Requirements:
6+ years professional iOS development experience (Swift & Objective-C)
Strong expertise in iOS frameworks (UIKit, Foundation, Core Animation, Core Data)
Experience building B2C, consumer-facing apps and delivering features end-to-end
Proficiency in multithreading, performance optimization, and software design patterns
Understanding of OS internals, compilers, and mobile optimization
Cross-platform development experience - important
Familiarity with modern development workflows, including AI-assisted coding tools
Senior-level, solid engineer with strong fundamentals, ownership, and collaborative mindset
Preferred
Shipped and maintained large-scale iOS applications
Experience with hybrid or cross-platform frameworks (React Native, etc.)
Experience with C/C++, OpenGL, or Metal
Passion for creating smooth, stable, and delightful user experiences.

Requirements:
3+ years work experience in sales at an ad-tech company - Must
Experience selling in the mobile gaming industry - Must
Self-motivated with a proactive approach to tackling any challenge that arises
Demonstrated experience consistently meeting or exceeding an annual quota of over $1M
Preferred Requirements:
Experience managing high volume sales pipelines
Experience with legal and business negotiation

Requirements:
6+ years of coding experience in Backend (NodeJS is preferred) and Frontend (One of the popular frameworks; React, Vue, Angular)
3+ years of management experience
Working knowledge with SQL and NoSQL databases
Working with one of the cloud providers: AWS, Google, Microsoft
Experience in the software life cycle and knowing how to work in an agile environment
Can-do attitude, self-sufficient, capable of learning alone and good English
Bonus Skills:
Experience working with offshore constructors - Advantage
Experience with web-based SaaS systems
Experience with Big Data
Experience with Kubernetes

Requirements:
6+ years of development experience, including at least 3 years as a Data Engineer
Experience with distributed computing frameworks (e.g., Spark, Flink, EMR)- Must
Experience with Iceberg / Delta Lake / Databricks or similar technologies
Experience designing scalable data storage solutions over object storage (structured and semi-structured data)
Hands-on experience building data pipelines and ingestion systems (batch and/or streaming)
Strong communication skills and ability to work with multiple stakeholders across teams
Proficiency in Python and PySpark- Advantage
Experience in streaming systems and real-time data processing- Advantage
Background in backend engineering or experience working closely with backend teams- Advantage
Experience optimizing data processing performance for cost and efficiency- Advantage.

Requirements:
3+ years of experience as an ML Engineer / MLOps
5+ years of experience as a software engineer or data engineer
2+ years of experience in a technical leadership role (leading engineers or data scientists)
Strong programming skills in Python and SQL
Hands-on experience with MPP frameworks such as Spark, Flink, Ray, Dask or equivalent
Strong analytical and critical thinking skills

Requirements:
5+ years of experience in DevOps roles, with a proven track record of managing large-scale systems
3+ years of hands-on experience with cloud platforms, preferably AWS or Azure
Proficiency in Kubernetes for container orchestration- must
Strong experience with Infrastructure as Code (IaC) tools, particularly Terraform- must
Advanced expertise in enterprise Linux administration in production environments, including deployment, configuration, and lifecycle management
In-depth knowledge of Continuous Delivery (CI/CD) and GitOps methodologies, with tools such as Jenkins, GitHub Actions, and ArgoCD
Expertise in configuration management tools such as Ansible
Familiarity with message bus technologies (e.g., RabbitMQ, Kafka, or similar)
Hands-on experience with monitoring and logging solutions
Proficiency in automation scripting using Bash and at least one programming language such as Python or Go
Solid understanding of networking concepts and information security, including firewalls, VPNs, LDAP, identity management, and access control
Strong collaboration skills, with the ability to work across teams, communicate complex issues, and support technical decision-making
Analytical and proactive, with high ownership and accountability for end-to-end system reliability in dynamic environments.

Requirements:
5 years of experience in Full Stack development
Experience with at least one backend language such as NodeJS, GO, Java, or C#
At least 3 years of experience with React, Angular, or Vue
Experience with Typescript - A Must
Knowledge of information security is a big advantage
Fast learner with outstanding problem-solving skills
Strong team player with the ability to collaborate effectively
Advantages:
Experience with NestJS/GraphQL/tailwind
Experience with NX or other Monorepo Management SDK
Experience with TypeORM and PostgreSQL
Good understanding of database concepts and performance orientation
Experience Developing in micro-service architecture
Experience with k8s and Docker.

Requirements:
4+ years of hands-on experience in Data Science / Machine Learning in production environments.
Proven track record of shipping ML models that created measurable business impact.
Experience in real-time systems, online experimentation, or large-scale optimization problems.
Technical Skills:
Strong Python skills with ML stack (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow).
Advanced SQL and experience working with large-scale datasets.
Deep understanding of:
Supervised learning (classification/regression)
Model evaluation & calibration
Feature engineering at scale
Hyperparameter tuning & regularization
Strong statistical foundation and experimental design knowledge.
Advantage (Highly Preferred):
Experience in AdTech / DSP / RTB environments.
Knowledge of auction theory or bidding strategies.
Experience with large-scale distributed data systems (Spark, Airflow, etc.).