You will own and scale paid mobile user acquisition campaigns across multiple networks to achieve profitable growth measured by ROAS. This involves managing significant budgets, analyzing performance data, and collaborating with creative and monetization teams to optimize campaign results.
The engineer will investigate and optimize LLM inference performance on modern GPUs using frameworks like vLLM and TensorRT-LLM. They will also develop, debug, and reverse-engineer CUDA kernels to improve latency, throughput, and GPU utilization.
You will be responsible for setting up, launching, and optimizing Google and Microsoft Search campaigns using internal tools. Additionally, you will monitor campaign performance, manage keyword structures, and validate data to ensure optimal results.
You will own the operational lifecycle of Linux-based runtime hosts, including provisioning, configuration, and security hardening. Additionally, you will establish SRE and observability practices to ensure platform health, reliability, and performance across distributed environments.
You will design and maintain high-performance data lakehouse infrastructure, focusing on reliable data maintenance workflows for Apache Iceberg. Additionally, you will contribute to a Rust-based SQL query router and manage production-grade systems, including on-call responsibilities.
Design, develop, and maintain backend services and APIs while ensuring data integrity and system performance. Collaborate with technical stakeholders to scope, implement, and ship features end to end.
The Platform & SRE Engineer will own the operational lifecycle of Linux-based runtime hosts and manage AWS infrastructure. They will also establish SRE and observability practices to ensure platform health, reliability, and performance.
The engineer will investigate and optimize LLM inference performance on modern GPUs by analyzing execution, memory access, and kernel performance. They will develop, debug, and reverse-engineer CUDA kernels to improve latency, throughput, and GPU utilization.
You will own the end-to-end design of product features, translating complex workflows into intuitive interfaces for B2B SaaS products. This includes creating user flows, wireframes, and high-fidelity prototypes while collaborating closely with developers to ensure quality implementation.
You will build the QA automation framework from scratch for mobile and web platforms while integrating tests into CI/CD pipelines. Additionally, you will perform exploratory and regression testing to ensure a high-quality user experience for the streaming application.
Design and develop connectors, proxies, and sidecars in Go to integrate the platform with customer systems and AI environments. Optimize high-throughput, latency-sensitive data flows while ensuring reliability and observability in production.
The Platform & SRE Engineer will own the operational lifecycle of Linux-based runtime hosts and manage AWS infrastructure. They will also establish SRE and observability practices to ensure platform health, reliability, and performance.
You will participate in the development of industry-leading security products and influence the future roadmap of endpoint security solutions. Additionally, you will investigate technical issues and collaborate with global teams to provide innovative solutions for enterprise customers.
The Technical Support Engineer will own incoming technical issues from report to resolution and act as the primary filter between customers and the R&D team. They are also responsible for managing the technical onboarding process for new pilots, including CRM and identity provider integrations.
Lead end-to-end customer integrations, including technical design, implementation, and ongoing maintenance. Build and maintain backend services and APIs within a microservices architecture while providing technical support to customers.
Develop and maintain web applications with a focus on frontend features, dashboards, and backend services. Collaborate with the team to design scalable technical solutions and optimize platform performance.
You will build and maintain modular, config-driven AI video pipelines to automate the generation of marketing assets for mobile games. This involves integrating various AI models, managing job orchestration, and ensuring high-quality output through FFmpeg processing.
Analyze and modernize complex legacy codebases using an AI-powered platform to improve system architecture. Collaborate with product and engineering teams to validate platform capabilities and suggest functional improvements.
You will design, develop, and maintain scalable backend services and microservices using Python and Flask. Additionally, you will integrate AI-powered functionality and optimize SQL databases to ensure high performance and reliability.
Develop and improve real-world computer vision systems, specifically focusing on aerial image recognition and object detection. Research new AI approaches, build prototypes, and deploy machine learning models to enhance product capabilities.
Develop and execute creative marketing concepts, campaigns, and content across various digital channels to drive product growth. Collaborate with cross-functional teams to analyze performance data and optimize creative strategies for maximum impact.
The User Support Engineer will manage the entire support function, including resolving tickets and implementing AI-powered automation. They will also analyze support data to identify product pain points and collaborate with cross-functional teams to improve user experience.
Troubleshoot and resolve complex technical issues across distributed Cloud SaaS systems while collaborating with engineering and product teams. Lead technical investigations and maintain high standards of customer communication for enterprise clients.
Create AI-generated video scenes and sequences by translating scripts into visual content using generative AI tools. Collaborate with creative leads to develop visual storytelling while independently managing assigned creative tasks.
Manage strategic outbound communication through executive LinkedIn profiles to build relationships with high-level decision makers. Collaborate with sales and recruitment teams while utilizing AI-powered workflows to identify and engage potential business opportunities.
Manage strategic outbound communication through executive LinkedIn profiles to build relationships with decision-makers. Continuously improve outreach messaging frameworks and collaborate with sales and recruitment teams.
You will be responsible for accelerating distributed systems like Apache Spark, Hadoop, and Ray by building native Rust-based execution engines. The role involves deep performance tuning, including SIMD, cache locality, and zero-copy IO optimizations.
Design and build scalable data pipelines to process bid stream, impression, and revenue data from programmatic sources. Develop ETL/ELT workflows and maintain data warehouses optimized for ad-tech query patterns.
You will design and ship production-grade systems that integrate software engineering, data infrastructure, and AI-powered features. This includes building secure full-stack product features, creating reliable data pipelines, and implementing safe agentic workflows with strong observability.
You will build native Rust-based execution engines and accelerate distributed systems like Apache Spark, Hadoop, and Ray. The role involves deep performance tuning and taking full ownership of complex, performance-critical components.
Identify and engage top-tier global IT talent using various sourcing channels and AI tools. Conduct initial screenings and maintain candidate data within the ATS to improve recruitment efficiency.
Research emerging fraud and abuse techniques to design and validate new security signals and detection mechanisms. Collaborate with engineering and data science teams to translate research insights into scalable product capabilities.
Design and build advanced AI workflows for image, video, and multi-model orchestration. Create showcase demos for investors and enterprise clients while collaborating with product teams to improve user experience.
You will work on client-side backend development and collaborate with team members to design, prototype, and assess technical feasibility. Additionally, you will be responsible for investigating and resolving issues reported by customers.
Design and develop full-stack applications for programmatic advertising workflows utilizing React, Node.js, and Python, while building and maintaining integrations with major SSPs and DSPs. Responsibilities also include implementing and optimizing Prebid configurations, developing OpenRTB-compliant handling, and ensuring compliance with privacy frameworks.
The role involves designing and building advanced workflows for image, video, AI editing, and multi-model orchestration, as well as creating showcase demos for investors, marketing, and tutorials. Additionally, the individual will explore and integrate cutting-edge AI models and help design widgets to simplify complex workflows for non-technical users.
The role involves designing and building scalable data pipelines to process real-time bid stream, impression, and revenue data from programmatic sources, while developing ETL/ELT workflows to transform raw data into analytics-ready datasets. Responsibilities also include building real-time and batch processing systems for auction analytics and developing data models for yield optimization.
The role involves owning the marketing and product frontend, ensuring it is visually appealing, highly functional, and user-friendly, while continuously implementing and maintaining new features to improve performance and usability. Responsibilities also include leveraging data metrics to guide design and development decisions through setting up analytics and collaborating with cross-functional teams.
