Rise

We are looking for an outstanding and passionate Data Scientist with expertise in Machine Learning and AI to join our team. You will have the opportunity to research, design, implement, and evaluate a variety of advanced ML algorithms and AI models, while working with huge-scale, real-time data and taking projects end-to-end, from the business problem definition up to production. Responsibilities Apply cutting-edge solutions while leveraging our vast amounts of data, utilizing Machine Learning and AI techniques. Implement model usages from research to production, in a scalable and resilient architecture (and be part of creating and maintaining this architecture). Take projects end-to-end, from business questions and data exploration all the way to production. Collaborate with Data Scientists, Big Data Engineers, Product Managers, and Developers from across the organization to solve complex problems. Contribute to continuous learning and knowledge sharing within the Data Science group, to stay ahead of the curve in Machine Learning and AI advancements. Lead innovation initiatives and stay in tune with the latest technologies and algorithms. Requirements 3+ years of experience in Data Science / Machine Learning, or equivalent hands-on experience. Strong SQL knowledge. Solid programming skills - Python. Solid understanding of Machine Learning, statistics, and probability. Experience solving complex business problems using state-of-the-art Machine Learning and AI algorithms. Experience building and deploying ML models in production environment. Experience working with large-scale data - big data. Understanding of data pipelines, APIs, and cloud infrastructure. Good understanding of probability and statistics. Familiarity with ML frameworks and platforms such as Databricks, SageMaker, or Vertex AI. Ability to independently solve complex problems and make architectural decisions. Ability to mentor others, work in teams, and teach peers, and learn from them. Ability to handle several tasks simultaneously. Independent, out-of-the-box thinker. Advantage: Experience in AdTech, particularly programmatic advertising, bidding, targeting, or user-level modeling. Advantage: Experience with real-time ML systems, deep learning, LLMs, or reinforcement learning.

Rise is looking for a talented and motivated System Administrator to join our IT Team. We're looking for someone with extensive experience in IT support, strong problem-solving abilities, and excellent communication skills to collaborate effectively with teams across the company. This role requires the ability to diagnose and resolve technical issues efficiently while providing clear and patient support to users from various departments. The goal is to ensure that our technology infrastructure operates smoothly and efficiently, enabling the organization to function at its best. Responsibilities Manage and maintain ALL IT Infrastructures, Including Firewalls/Switches/Access Points/Servers/VMs IT Supports the company employees via a ticketing system or frontal support. Manage the Onboarding / Offboarding procedure from the IT side, take care of the company's live events and Meeting Rooms/Multimedia Equipment. Maintain and monitor IT Assets and equipment via the ITAM system. Requirements 2 years experience as an IT Specialist, Junior Sys Admin or similar role. Troubleshooting common macOS and Windows issues Experience with Okta (SSO), Google WorkSpace, Microsoft Office 365 Experience with Virtualization OS such as VMware or HyperV Basic knowledge of managing and configuring networking equipment such as firewalls, switches, and access points. (FortiGate experience is a plus). Experience with Atlassian Administration, Fresh Service, GCP, AWS, Iru, Intune, Synology, VPN, Linux, PowerShell Fast & self-learner, team player, organized and responsible, dynamic, and motivated.

We are looking for an outstanding and passionate Legal Counsel to join our legal team. This is a unique opportunity to work in an innovative and dynamic environment, handling a wide range of commercial agreements and regulatory matters while collaborating closely with various teams across the company. Responsibilities Draft, review, and negotiate a variety of commercial agreements (advertising, licensing, distribution, service agreements, SaaS and much more). Provide practical, business-oriented legal advice on a wide variety of legal matters. Monitor and provide guidance on applicable laws and regulations. Lead and support cross-functional legal and business projects that require a strategic legal perspective. Requirements 3+ years of experience in a commercial, technology, or international M&A department at a leading law firm or a high-tech company. Experience with drafting and negotiating international commercial agreements in the technology sector. English at a mother-tongue level. Excellent business orientation – ability to align legal advice with the company's strategic goals. High level of curiosity, problem-solving skills, and attention to detail. Ability to thrive in a fast-paced environment while managing multiple tasks efficiently. A strong team player with excellent communication skills and the ability to work effectively both independently and as part of a team.

At Rise, we operate at the intersection of extreme scale, real-time decisioning, and high-frequency data. As a cloud-native adtech company, our platform processes massive request volumes where every millisecond of latency and every fraction of a cent in cloud compute directly impacts our bottom line. Driven by rapid growth, we need engineers who love analyzing system bottlenecks to maximize efficiency—connecting the dots between technical innovation, system performance, and revenue growth. This is a core Back-End Engineering role. You will build high-performance, ultra-low-latency backend services that execute complex business logic, integrate with Data Science models, and serve billions of real-time requests. Our Engineering Mindset We move fast, automate aggressively, and relentlessly optimize everything we touch—from network I/O and query costs to workflow automation. We actively integrate AI tools and workflows directly into our daily SDLC to move faster, elevate code quality, automate routine overhead, and accelerate shipping cycles. Our developers operate with a full ownership mindset, communicating across multiple cross-functional stakeholders with a broad, business-oriented perspective. We thrive on a "can-do" culture and take pride in engineering elegant, cost-optimized solutions. Responsibilities Drive Business Impact Through Feature Delivery: Own full-lifecycle feature development from concept to deployment. Translate ambiguous business goals into clear technical execution plans, align with cross-functional stakeholders, and deliver features that directly drive revenue and operational efficiency. Engine for High Throughput: Design, build, and optimize low-latency backend microservices using Golang and Rust to handle heavy adtech workloads. Leverage AI Across the SDLC: Integrate AI-driven coding assistants and automated tooling into your everyday workflow—from code generation and automated testing to debugging, refactoring, and documentation—to maximize developer velocity. Relentlessly Optimize Infrastructure & Costs: Analyze system bottlenecks, conduct CPU/memory profiling, optimize resource utilization, and drive down our GCP compute and data transfer costs without sacrificing reliability. Bridge Backend & Data Science: Integrate production-ready Data Science models and complex ad-server business logic into fast, reliable execution paths. Manage Cloud-Native Architecture: Deploy, maintain, and scale microservices on GCP using Google Kubernetes Engine (GKE), Docker, and modern CI/CD pipelines. Automate Everything: Identify manual processes, operational overhead, or inefficient code paths across our stack and build automated solutions to eliminate them. Requirements 3+ years of hands-on experience in backend engineering, building high-concurrency, low-latency applications (strong proficiency in Golang and/or Rust required, or deep background in Java/C#). AI-Augmented Development Mindset: Experience leveraging modern AI developer tools (e.g., Claude Code, Cursor, LLM-driven testing or debugging tools) across the SDLC to ship high-quality code faster. High-Scale System Design & Profiling: Proven track record of designing microservices and optimizing applications for performance, throughput, and memory footprint in production using CPU/memory profiling tools. Modern Data Store Expertise: Hands-on experience with high-performance and analytical data stores such as Redis, Valkey, Aerospike, BigTable, and BigQuery. Cloud-Native Proficiency: Deep familiarity with GCP and container orchestration via Kubernetes (GKE) and Docker. Cost & Performance Mindset: You don't just write code that works; you care about how it runs, how much memory and CPU it consumes, and how much it costs to run at scale. Full End to End Ownership: Ability to manage initiatives independently, navigate loosely defined tasks, and communicate effectively with cross-functional teams to keep projects moving forward. Relentless Curiosity & Autonomy: A pragmatic, "can-do" problem solver who loves learning new tech and taking complete ownership of solutions. Advantages Experience with probabilistic data structures (e.g., Bloom filters, HyperLogLog). Familiarity with Lua scripting for in-memory databases. Experience with gRPC for high-performance microservice communication.

We're looking for a Business AI Solutions Engineer to join our newly established role at our professional services team at Rise. In this role, you'll identify opportunities, develop AI-powered solutions, and automate business processes across the organization. We're looking for someone who combines strong technical skills, creativity, and a problem-solving mindset, with the ability to turn ideas into working solutions. Responsibilities Identify opportunities to improve business processes using AI and automation. Design, develop, and deploy AI-powered tools, agents, and workflows. Build integrations between internal systems, APIs, and AI platforms. Collaborate with different departments to understand needs and deliver practical solutions. Own solutions end-to-end, from initial concept to deployment and optimization. Evaluate new AI technologies and drive their adoption across the organization. Requirements 2+ years of experience in automation, software development, technical solutions, or similar roles. Hands-on experience with AI tools, LLMs, and AI-assisted development. Experience with Python and/or JavaScript. Strong understanding of APIs, webhooks, and system integrations. Ability to independently design, build, and troubleshoot technical solutions. Strong analytical thinking, ownership, and problem-solving skills. Excellent communication skills in English. Advantages Experience with automation platforms such as n8n, Make, or Zapier. Experience building AI agents, RAG solutions, or LLM-based workflows. Familiarity with SQL, cloud services, and data platforms. Experience with Claude Code, Cursor, or similar AI development tools. Background in AdTech or SaaS environments.

We are looking for a Professional Services Engineer to join our Professional Services team. This is a hands-on role for someone who can take ownership, work independently, solve complex problems, and collaborate with customers and teams across the company. Our team works across technical, operational, business, and customer-facing areas, so we are looking for someone versatile, responsible, and comfortable working in a dynamic environment. Responsibilities Own technical and operational issues end-to-end. Troubleshoot complex issues and identify root causes using logs, data, APIs, and system flows. Understand customer needs and provide practical solutions. Lead technical and business discussions with customers and internal stakeholders. Work closely with R&D, Product, Data, and Customer Success. Build tools, automations, and custom solutions when needed. Contribute to team knowledge, processes, and ongoing improvements. Participate in the team's on-call rotation and take ownership during incidents. Requirements 5+ years of Professional Services / Operations or equivalent experience - a MUST. Strong technical and troubleshooting skills. Strong SQL skills and experience working with data. Strong understanding of APIs, HTTP, web technologies, and Internet protocols. Ability to investigate complex issues independently. Strong ownership and accountability. Ability to manage multiple tasks and priorities. Strong communication skills and confidence working with customers. Strong written and verbal English. Advantages Programming or scripting experience. Experience with cloud platforms, monitoring tools, or distributed systems. Experience in AdTech, SaaS, or high-scale production environments. Experience in Professional Services, Solutions Engineering, Technical Support, or similar customer-facing technical roles. Previous on-call or production incident experience.

We are looking for a highly talented individual to fill the role of Strategic Partnerships Manager - Demand side. Has to be a people person – a relationship wizard with analytical skills. The ideal candidate will be in charge of our partners' day-to-day growth and will need to show technical skills, creativity in finding solutions and people skills in obtaining all the internal information for the partners' needs. Also, the candidate will be representing the activity in summits and client-facing meetings that will require native English levels and presentation skills. Day-to-day work within a team, while collaborating with cross-teams as well. The Strategic Partnerships Manager should be a team player! Responsibilities Manage and grow strategic relationships with leading SSP, DSP, and programmatic ecosystem partners. Own day-to-day partner success by driving revenue growth, monetization performance, and optimization initiatives across accounts. Build trusted relationships with key stakeholders, including executives, commercial leads, technical teams, and decision-makers. Analyze performance trends and identify opportunities related to spend growth, traffic quality, fill rate, bid rate, CPM performance, and overall monetization efficiency. Proactively identify and execute growth opportunities through strategic optimization, upselling, cross-selling, and new product adoption. Serve as the main point of coordination between external partners and internal Product, Operations, Technical, and Business teams to ensure smooth execution and issue resolution. Investigate and troubleshoot operational and technical challenges, including discrepancies, delivery issues, trends, traffic quality concerns, and integration-related topics. Maintain a strong understanding of the company's products, technical capabilities, market positioning, and industry trends. Lead Quarterly Business Reviews (QBRs) with partners by delivering data-driven insights, strategic recommendations, and actionable growth plans. Requirements 3-5 years of Customer Success, Account Management, or Partner Management experience within the AdTech / Programmatic advertising industry Strong understanding of the programmatic ecosystem, including SSPs, DSPs, publishers, exchanges, identity solutions, and supply path optimization dynamics. Strong analytical and data-driven mindset with the ability to interpret large-scale performance data and translate insights into actionable recommendations. Experience analyzing monetization KPIs such as spend, CPM, fill rate, bid rate, discrepancies, traffic quality, and revenue performance. Excellent communication, presentation, and relationship-management skills with the ability to engage both commercial and technical stakeholders. Proven ability to manage strategic accounts and drive partner retention, growth, and long-term business relationships. Strong organizational and multitasking abilities with excellent project ownership and prioritization skills. Ability to work independently in a fast-paced environment while collaborating effectively across multiple internal teams. High level of English proficiency – written and verbal. Experience with CRM systems, AI tools, reporting platforms, Excel, and other analytical/business tools. Bachelor's degree in Business, Marketing, Economics, or a related field – advantage.