דרושים United States, San Carlos

These models power our ad ranking and recommendation systems, helping advertisers reach the right users at the right time by accurately estimating engagement and conversion likelihood. By leveraging large-scale behavioral data, creative features, and contextual signals, we continuously improve the relevance and accuracy of our predictions. This drives key outcomes such as higher user engagement, stronger conversion performance, and better return on ad spend — enabling advertisers to achieve their goals while delivering a better experience for users.

• Design, implement, and maintain high-performance fraud detection models to identify and block fraudulent activities at the publisher, game, and user levels.
• Build and refine systems to analyze user behavior, transaction patterns, and contextual signals, enabling accurate and timely detection of suspicious or malicious activity.
• Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback.
• Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.
• Effectively communicate complex technical concepts to non-engineering stakeholders.

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience.
• 5+ years of hands-on experience building and operating large-scale systems for detection, monitoring, or risk management in ads, payments, or related domains.
• 3+ years of experience designing and deploying fraud detection or anomaly detection models, user behavior modeling, or risk scoring systems.
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
• Knowledge of metric design, experimentation methodologies, and large-scale data analysis.

• Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
• Experience with state-of-the-art control systems, reinforcement learning algorithms.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

• Guide the architecture and low level design of distributed systems to ensure scalability, reliability, and efficiency
• Own and operate infrastructure services with the engineering teams, including on call responsibilities and deep debugging of complex issues
• Drive operational excellence through improved observability, resiliency, and automation
• Mentor engineers and raise the technical bar through design reviews, code reviews, and engineering best practices
• Advise leadership on platform direction, long term investment, and adoption of emerging infrastructure technologies

• 7 or more years of experience building and operating large scale distributed systems in production
• Programming experience for backend service and infrastructure development
• Hands on experience with Kubernetes and cloud native systems in GCP, AWS, or Azure
• Expertise in distributed infrastructure including traffic management, load balancing, networking, and large scale data processing.
• Deep understanding of networking, observability, and debugging distributed systems end to end

• Deep expertise in distributed caching or storage systems used to support large scale, low latency workloads
• Expertise in protocols, routing, and service discovery in large scale environments
• Domain knowledge of online advertising and adtech systems is a plus

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

As part of the team, you will work on distributed systems that handle real-time ad requests, impression tracking, and user data analytics with strict requirements for uptime and security. You'll play a critical role in optimizing performance, maintaining service availability, and supporting the development of new monetization features for game developers worldwide. Security, data privacy, and a positive user experience are central to everything we build.

• Design, build, and modernise backend services and APIs that support ad delivery
• Work on scalable, high-availability systems used across Unity’s ads ecosystem
• Collaborate with engineers, product managers, and data teams to deliver new features
• Improve performance, observability, and cost-efficiency of current backend systems, modernising the legacy stack
• Contribute to architectural decisions and technical direction of the platform

• Experience building backend services at scale
• Proficiency in Golang, and relational databases (e.g., MySQL)
• Familiarity with cloud infrastructure and observability tools (Kubernetes, Ray, etc.)
• Understanding of API design, distributed systems, and system reliability
• Strong collaboration and communication skills in a remote-first team environment

• Experience in ad tech, programmatic advertising, or real-time bidding systems
• Background with infrastructure-as-code (e.g., Terraform)
• Familiarity with networking, caching, or real-time data pipelines

• Relocation support is not available for this position.
• Work visa/immigration sponsorship is not available for this position

We offer a wide range of benefits designed to support employees' well-being and work-life balance. You can read more about them on our .

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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

• Design, implement, and maintain high-performance CTR and CVR prediction models that power ad ranking and recommendation systems.
• Build and refine systems for creative understanding and user behavior modeling, enabling more accurate and context-aware engagement predictions.
• Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback.
• Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.
• Effectively communicate complex technical concepts to non-engineering stakeholders.

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience.
• 5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems.
• 3+ years of experience building CTR/CVR systems, content understanding, or behavior modeling systems.
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
• Knowledge of metric design, experimentation methodologies, and large-scale data analysis.

• Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
• Experience with state-of-the-art control systems, reinforcement learning algorithms.

• International relocation support is not available for this position.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

• Design, build, and maintain backend services and APIs that support ad delivery
• Work on scalable, high-availability systems used across Unity’s ads ecosystem
• Collaborate with engineers, product managers, and data teams to deliver new features
• Improve performance, observability, and cost-efficiency of backend systems
• Contribute to architectural decisions and technical direction of the platform

• Experience building backend services at scale
• Proficiency in Golang,and Google Cloud
• Familiarity with cloud infrastructure and observability tools (Kubernetes, Ray, etc.)
• Understanding of API design, distributed systems, and system reliability

• Experience in ad tech, programmatic advertising, or real-time bidding systems
• Background with infrastructure-as-code (e.g., Terraform)
• Familiarity with networking, caching, or real-time data pipelines

• Relocation support is not available for this position

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 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

• 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

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

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

• Develop and Execute Category Strategies: Define and lead the execution of comprehensive multi-year strategic category plans that drive competitive advantage, innovation, and TCO reduction.
• Lead Complex Strategic Sourcing: Manage the full end-to-end strategic sourcing lifecycle for high-value spend, including robust market analysis, RFP development, and supplier selection.
• Negotiate High-Value Contracts: Expertly lead and conclude complex commercial and legal negotiations to secure optimal pricing, favorable contract terms, and Service Level Agreements (SLAs).
• Drive Value through SRM: Establish and cultivate strategic supplier relationships that focus on continuous improvement, joint innovation, and enhanced performance across the supply base.
• Mitigate Supply Chain Risk: Proactively identify, assess, and manage supply chain and contractual risks, implementing strategies for business continuity and resilience.

• Strategic Sourcing Expertise: Demonstrated mastery of the 7-step strategic sourcing process and deep experience with Total Cost of Ownership (TCO) modeling.
• Advanced Negotiation Skills: Proven track record of leading complex, multi-million dollar commercial negotiations with a focus on value creation, not just cost-cutting.
• Spend Analysis Proficiency: Exceptional ability to conduct sophisticated spend analysis, cost modeling, and financial data interpretation to identify high-impact opportunities.
• Cross-Functional Alignment: Documented experience gaining buy-in and driving consensus on category strategies among diverse and senior-level internal stakeholders.
• Contract Management Acumen: Expert knowledge of contract law and the ability to draft, interpret, and manage legal agreements, terms, and conditions (e.g., MSA, SOW).

• Experience implementing AI in Strategic Sourcing, Procurement and Contract Management
• Experience utilizing leading Procurement Orchestration, Procure-to-Pay (P2P) technologies, ERP systems (e.g. Workday).
• Certification such as Certified Professional in Supply Management (CPSM), or similar global qualification.

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.