Senior Backend Developer
Develop and maintain server-side application logic for high-traffic gaming software using Ruby. Conduct unit tests, perform code reviews, and implement observability solutions to ensure system performance and scalability.
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Develop and maintain server-side application logic for high-traffic gaming software using Ruby. Conduct unit tests, perform code reviews, and implement observability solutions to ensure system performance and scalability.
Own and scale the connector ecosystem by prioritizing and managing third-party API and app integrations for AI features. Collaborate with engineering teams to define product requirements, evaluate performance, and drive the roadmap for AI-powered tools.
You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
Design, build, and maintain automation solutions using UiPath and Python to improve operational efficiency across various departments. Collaborate with stakeholders to identify automation needs and ensure the stable, ongoing operation of RPA bots.
Develop and maintain scalable Python backend services while integrating Azure AI technologies to build document solutions. Support platform modernization through refactoring, service decoupling, and implementing secure AI solutions.
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Develop and execute comprehensive CRM strategies to manage the customer journey from acquisition to retention. Plan and optimize targeted marketing campaigns across multiple channels while collaborating with cross-functional teams.
The Senior Product Design Engineer will bridge the gap between design and engineering by working directly in the codebase to ensure high-quality execution. You will lead impactful projects, collaborate with cross-functional teams, and help shape the design engineering discipline within the company.
Review, evaluate, and validate AI-generated content to ensure accuracy and quality. Annotate data and provide written feedback based on project guidelines.
Review, evaluate, and validate AI-generated content to ensure accuracy and quality. Annotate and label various data types while providing clear feedback based on project guidelines.
The Senior Director Analyst will create must-have insights and market predictions regarding AI and emerging technologies to guide enterprise leaders. They will also provide actionable advice to clients through virtual and in-person interactions while supporting sales and research initiatives.
The Backend Developer will design and develop new features, write high-quality code, and perform code reviews for in-house projects. They will also collaborate with cross-functional teams to ensure stable, performant, and well-documented solutions.
The Senior CRM Specialist will own customer journey optimization, segmentation, and automation across multiple international brands. They will lead testing roadmaps and collaborate with cross-functional teams to drive engagement, retention, and revenue growth.
The Data Engineer will own and deliver data engineering tasks, integrations, and marketing systems while troubleshooting pipeline and data quality issues. They will collaborate cross-functionally to transform data across various platforms and support payment orchestration flows.
You will design and prototype machine learning and deep learning models, focusing on computer vision to solve complex business problems. Additionally, you will collaborate with ML engineers to scale these prototypes into production systems and define evaluation metrics for objective model comparison.
You will translate game design documents into functional HTML5 games using TypeScript and PixiJS. Additionally, you will collaborate with art and QA teams to ensure high-quality, optimized, and defect-free game delivery.
Design and lead the AI architecture, standards, and tooling to transform the company into an AI-native organization. Lead AI fluency across the company and integrate AI into the business model to create operational leverage.
Own and drive the quality, reliability, and evolution of production AI systems, including the delivery of major AI features. Design and orchestrate agentic, tool-using AI workflows and manage prompt engineering and experimentation pipelines.
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Build and maintain responsive, high-performance frontend experiences using Vue.js, Nuxt.js, and Twig. Collaborate with cross-functional teams to integrate external APIs and optimize frontend performance for internal and external solutions.
Design and maintain automated web scraping solutions to collect affiliate and market intelligence data. Integrate extracted data from various APIs and websites into a centralized data warehouse.
Administer and maintain CRM platforms while ensuring data quality and governance standards. Implement scalable automation and AI-assisted solutions to improve operational efficiency and reporting capabilities.
The role involves administering Salesforce platforms, maintaining data quality, and building operational reports and dashboards. Additionally, the analyst will identify opportunities for automation and AI-assisted solutions to improve business processes.
Review, evaluate, and annotate AI-generated content across various formats including text, images, audio, and video. Perform quality checks and provide feedback to improve datasets and annotation guidelines for generative AI models.
Maintain and enhance the Snowflake data platform and develop scalable, secure data integration pipelines. Collaborate with cross-functional teams to improve data observability, reliability, and cost efficiency.
Perform manual functional, regression, and acceptance testing for web applications and backend systems. Create and maintain comprehensive test documentation, including test cases, checklists, and bug reports.
Lead and grow the Business Intelligence function by designing data pipelines, warehouse models, and reporting frameworks. Translate complex datasets into actionable insights to drive growth and mentor a team of analysts and engineers.
Design and build scalable backend solutions in Go for a high-load sports betting platform. Collaborate on architectural decisions and ensure code quality through reviews and testable implementations.
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Lead complex privacy projects and design systems to improve search indexes and AI features without compromising user privacy. Own major privacy technology components and participate in privacy review and audit processes to ensure alignment with company principles.
The Tech Lead is responsible for the technical direction, architecture, and engineering quality within their domain. They align technical decisions with business priorities while mentoring engineers and improving platform stability.
Design, develop, and maintain scalable high-performance applications using Elixir and related technologies. Lead architectural discussions, mentor junior engineers, and implement complex domain logic and data pipelines.
Produce 15-20 high-performing AI-driven short-form ads per week for Meta using advanced AI tools. Lead and manage a team of editors, overseeing quality control, KPIs, and hiring/firing processes.
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